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11.2 Steps in Developing a Research Proposal

Learning objectives.

• Identify the steps in developing a research proposal.
• Choose a topic and formulate a research question and working thesis.
• Develop a research proposal.

Writing a good research paper takes time, thought, and effort. Although this assignment is challenging, it is manageable. Focusing on one step at a time will help you develop a thoughtful, informative, well-supported research paper.

Your first step is to choose a topic and then to develop research questions, a working thesis, and a written research proposal. Set aside adequate time for this part of the process. Fully exploring ideas will help you build a solid foundation for your paper.

Choosing a Topic

When you choose a topic for a research paper, you are making a major commitment. Your choice will help determine whether you enjoy the lengthy process of research and writing—and whether your final paper fulfills the assignment requirements. If you choose your topic hastily, you may later find it difficult to work with your topic. By taking your time and choosing carefully, you can ensure that this assignment is not only challenging but also rewarding.

Writers understand the importance of choosing a topic that fulfills the assignment requirements and fits the assignment’s purpose and audience. (For more information about purpose and audience, see Chapter 6 “Writing Paragraphs: Separating Ideas and Shaping Content” .) Choosing a topic that interests you is also crucial. You instructor may provide a list of suggested topics or ask that you develop a topic on your own. In either case, try to identify topics that genuinely interest you.

After identifying potential topic ideas, you will need to evaluate your ideas and choose one topic to pursue. Will you be able to find enough information about the topic? Can you develop a paper about this topic that presents and supports your original ideas? Is the topic too broad or too narrow for the scope of the assignment? If so, can you modify it so it is more manageable? You will ask these questions during this preliminary phase of the research process.

Identifying Potential Topics

Sometimes, your instructor may provide a list of suggested topics. If so, you may benefit from identifying several possibilities before committing to one idea. It is important to know how to narrow down your ideas into a concise, manageable thesis. You may also use the list as a starting point to help you identify additional, related topics. Discussing your ideas with your instructor will help ensure that you choose a manageable topic that fits the requirements of the assignment.

In this chapter, you will follow a writer named Jorge, who is studying health care administration, as he prepares a research paper. You will also plan, research, and draft your own research paper.

Jorge was assigned to write a research paper on health and the media for an introductory course in health care. Although a general topic was selected for the students, Jorge had to decide which specific issues interested him. He brainstormed a list of possibilities.

If you are writing a research paper for a specialized course, look back through your notes and course activities. Identify reading assignments and class discussions that especially engaged you. Doing so can help you identify topics to pursue.

• Health Maintenance Organizations (HMOs) in the news
• Sexual education programs
• Hollywood and eating disorders
• Americans’ access to public health information
• Media portrayal of health care reform bill
• Depictions of drugs on television
• The effect of the Internet on mental health
• Popularized diets (such as low-carbohydrate diets)
• Fear of pandemics (bird flu, HINI, SARS)
• Electronic entertainment and obesity
• Advertisements for prescription drugs
• Public education and disease prevention

Set a timer for five minutes. Use brainstorming or idea mapping to create a list of topics you would be interested in researching for a paper about the influence of the Internet on social networking. Do you closely follow the media coverage of a particular website, such as Twitter? Would you like to learn more about a certain industry, such as online dating? Which social networking sites do you and your friends use? List as many ideas related to this topic as you can.

Narrowing Your Topic

Once you have a list of potential topics, you will need to choose one as the focus of your essay. You will also need to narrow your topic. Most writers find that the topics they listed during brainstorming or idea mapping are broad—too broad for the scope of the assignment. Working with an overly broad topic, such as sexual education programs or popularized diets, can be frustrating and overwhelming. Each topic has so many facets that it would be impossible to cover them all in a college research paper. However, more specific choices, such as the pros and cons of sexual education in kids’ television programs or the physical effects of the South Beach diet, are specific enough to write about without being too narrow to sustain an entire research paper.

A good research paper provides focused, in-depth information and analysis. If your topic is too broad, you will find it difficult to do more than skim the surface when you research it and write about it. Narrowing your focus is essential to making your topic manageable. To narrow your focus, explore your topic in writing, conduct preliminary research, and discuss both the topic and the research with others.

Exploring Your Topic in Writing

“How am I supposed to narrow my topic when I haven’t even begun researching yet?” In fact, you may already know more than you realize. Review your list and identify your top two or three topics. Set aside some time to explore each one through freewriting. (For more information about freewriting, see Chapter 8 “The Writing Process: How Do I Begin?” .) Simply taking the time to focus on your topic may yield fresh angles.

Jorge knew that he was especially interested in the topic of diet fads, but he also knew that it was much too broad for his assignment. He used freewriting to explore his thoughts so he could narrow his topic. Read Jorge’s ideas.

Conducting Preliminary Research

Another way writers may focus a topic is to conduct preliminary research . Like freewriting, exploratory reading can help you identify interesting angles. Surfing the web and browsing through newspaper and magazine articles are good ways to start. Find out what people are saying about your topic on blogs and online discussion groups. Discussing your topic with others can also inspire you. Talk about your ideas with your classmates, your friends, or your instructor.

Jorge’s freewriting exercise helped him realize that the assigned topic of health and the media intersected with a few of his interests—diet, nutrition, and obesity. Preliminary online research and discussions with his classmates strengthened his impression that many people are confused or misled by media coverage of these subjects.

Jorge decided to focus his paper on a topic that had garnered a great deal of media attention—low-carbohydrate diets. He wanted to find out whether low-carbohydrate diets were as effective as their proponents claimed.

Writing at Work

At work, you may need to research a topic quickly to find general information. This information can be useful in understanding trends in a given industry or generating competition. For example, a company may research a competitor’s prices and use the information when pricing their own product. You may find it useful to skim a variety of reliable sources and take notes on your findings.

The reliability of online sources varies greatly. In this exploratory phase of your research, you do not need to evaluate sources as closely as you will later. However, use common sense as you refine your paper topic. If you read a fascinating blog comment that gives you a new idea for your paper, be sure to check out other, more reliable sources as well to make sure the idea is worth pursuing.

Review the list of topics you created in Note 11.18 “Exercise 1” and identify two or three topics you would like to explore further. For each of these topics, spend five to ten minutes writing about the topic without stopping. Then review your writing to identify possible areas of focus.

Set aside time to conduct preliminary research about your potential topics. Then choose a topic to pursue for your research paper.

Collaboration

Please share your topic list with a classmate. Select one or two topics on his or her list that you would like to learn more about and return it to him or her. Discuss why you found the topics interesting, and learn which of your topics your classmate selected and why.

A Plan for Research

Your freewriting and preliminary research have helped you choose a focused, manageable topic for your research paper. To work with your topic successfully, you will need to determine what exactly you want to learn about it—and later, what you want to say about it. Before you begin conducting in-depth research, you will further define your focus by developing a research question , a working thesis, and a research proposal.

Formulating a Research Question

In forming a research question, you are setting a goal for your research. Your main research question should be substantial enough to form the guiding principle of your paper—but focused enough to guide your research. A strong research question requires you not only to find information but also to put together different pieces of information, interpret and analyze them, and figure out what you think. As you consider potential research questions, ask yourself whether they would be too hard or too easy to answer.

To determine your research question, review the freewriting you completed earlier. Skim through books, articles, and websites and list the questions you have. (You may wish to use the 5WH strategy to help you formulate questions. See Chapter 8 “The Writing Process: How Do I Begin?” for more information about 5WH questions.) Include simple, factual questions and more complex questions that would require analysis and interpretation. Determine your main question—the primary focus of your paper—and several subquestions that you will need to research to answer your main question.

Here are the research questions Jorge will use to focus his research. Notice that his main research question has no obvious, straightforward answer. Jorge will need to research his subquestions, which address narrower topics, to answer his main question.

Using the topic you selected in Note 11.24 “Exercise 2” , write your main research question and at least four to five subquestions. Check that your main research question is appropriately complex for your assignment.

Constructing a Working ThesIs

A working thesis concisely states a writer’s initial answer to the main research question. It does not merely state a fact or present a subjective opinion. Instead, it expresses a debatable idea or claim that you hope to prove through additional research. Your working thesis is called a working thesis for a reason—it is subject to change. As you learn more about your topic, you may change your thinking in light of your research findings. Let your working thesis serve as a guide to your research, but do not be afraid to modify it based on what you learn.

Jorge began his research with a strong point of view based on his preliminary writing and research. Read his working thesis statement, which presents the point he will argue. Notice how it states Jorge’s tentative answer to his research question.

One way to determine your working thesis is to consider how you would complete sentences such as I believe or My opinion is . However, keep in mind that academic writing generally does not use first-person pronouns. These statements are useful starting points, but formal research papers use an objective voice.

Write a working thesis statement that presents your preliminary answer to the research question you wrote in Note 11.27 “Exercise 3” . Check that your working thesis statement presents an idea or claim that could be supported or refuted by evidence from research.

Creating a Research Proposal

A research proposal is a brief document—no more than one typed page—that summarizes the preliminary work you have completed. Your purpose in writing it is to formalize your plan for research and present it to your instructor for feedback. In your research proposal, you will present your main research question, related subquestions, and working thesis. You will also briefly discuss the value of researching this topic and indicate how you plan to gather information.

When Jorge began drafting his research proposal, he realized that he had already created most of the pieces he needed. However, he knew he also had to explain how his research would be relevant to other future health care professionals. In addition, he wanted to form a general plan for doing the research and identifying potentially useful sources. Read Jorge’s research proposal.

Before you begin a new project at work, you may have to develop a project summary document that states the purpose of the project, explains why it would be a wise use of company resources, and briefly outlines the steps involved in completing the project. This type of document is similar to a research proposal. Both documents define and limit a project, explain its value, discuss how to proceed, and identify what resources you will use.

Writing Your Own Research Proposal

Now you may write your own research proposal, if you have not done so already. Follow the guidelines provided in this lesson.

Key Takeaways

• Developing a research proposal involves the following preliminary steps: identifying potential ideas, choosing ideas to explore further, choosing and narrowing a topic, formulating a research question, and developing a working thesis.
• A good topic for a research paper interests the writer and fulfills the requirements of the assignment.
• Defining and narrowing a topic helps writers conduct focused, in-depth research.
• Writers conduct preliminary research to identify possible topics and research questions and to develop a working thesis.
• A good research question interests readers, is neither too broad nor too narrow, and has no obvious answer.
• A good working thesis expresses a debatable idea or claim that can be supported with evidence from research.
• Writers create a research proposal to present their topic, main research question, subquestions, and working thesis to an instructor for approval or feedback.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
• Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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Chapter 14: The Research Proposal

14.3 Components of a Research Proposal

Krathwohl (2005) suggests and describes a variety of components to include in a research proposal. The following sections – Introductions, Background and significance, Literature Review; Research design and methods, Preliminary suppositions and implications; and Conclusion present these components in a suggested template for you to follow in the preparation of your research proposal.

Introduction

The introduction sets the tone for what follows in your research proposal – treat it as the initial pitch of your idea. After reading the introduction your reader should:

• understand what it is you want to do;
• have a sense of your passion for the topic; and
• be excited about the study’s possible outcomes.

As you begin writing your research proposal, it is helpful to think of the introduction as a narrative of what it is you want to do, written in one to three paragraphs. Within those one to three paragraphs, it is important to briefly answer the following questions:

• What is the central research problem?
• How is the topic of your research proposal related to the problem?
• What methods will you utilize to analyze the research problem?
• Why is it important to undertake this research? What is the significance of your proposed research? Why are the outcomes of your proposed research important? Whom are they important?

Note : You may be asked by your instructor to include an abstract with your research proposal. In such cases, an abstract should provide an overview of what it is you plan to study, your main research question, a brief explanation of your methods to answer the research question, and your expected findings. All of this information must be carefully crafted in 150 to 250 words. A word of advice is to save the writing of your abstract until the very end of your research proposal preparation. If you are asked to provide an abstract, you should include 5 to 7 key words that are of most relevance to your study. List these in order of relevance.

Background and Significance

The purpose of this section is to explain the context of your proposal and to describe, in detail, why it is important to undertake this research. Assume that the person or people who will read your research proposal know nothing or very little about the research problem. While you do not need to include all knowledge you have learned about your topic in this section, it is important to ensure that you include the most relevant material that will help to explain the goals of your research.

While there are no hard and fast rules, you should attempt to address some or all of the following key points:

• State the research problem and provide a more thorough explanation about the purpose of the study than what you stated in the introduction.
• Present the rationale for the proposed research study. Clearly indicate why this research is worth doing. Answer the “so what?” question.
• Describe the major issues or problems to be addressed by your research. Do not forget to explain how and in what ways your proposed research builds upon previous related research.
• Explain how you plan to go about conducting your research.
• Clearly identify the key or most relevant sources of research you intend to use and explain how they will contribute to your analysis of the topic.
• Set the boundaries of your proposed research, in order to provide a clear focus. Where appropriate, state not only what you will study, but what will be excluded from your study.
• Provide clear definitions of key concepts and terms. Since key concepts and terms often have numerous definitions, make sure you state which definition you will be utilizing in your research.

Literature Review

This key component of the research proposal is the most time-consuming aspect in the preparation of your research proposal. As described in Chapter 5 , the literature review provides the background to your study and demonstrates the significance of the proposed research. Specifically, it is a review and synthesis of prior research that is related to the problem you are setting forth to investigate. Essentially, your goal in the literature review is to place your research study within the larger whole of what has been studied in the past, while demonstrating to your reader that your work is original, innovative, and adds to the larger whole.

As the literature review is information dense, it is essential that this section be intelligently structured to enable your reader to grasp the key arguments underpinning your study. However, this can be easier to state and harder to do, simply due to the fact there is usually a plethora of related research to sift through. Consequently, a good strategy for writing the literature review is to break the literature into conceptual categories or themes, rather than attempting to describe various groups of literature you reviewed. Chapter 5   describes a variety of methods to help you organize the themes.

Here are some suggestions on how to approach the writing of your literature review:

• Think about what questions other researchers have asked, what methods they used, what they found, and what they recommended based upon their findings.
• Do not be afraid to challenge previous related research findings and/or conclusions.
• Assess what you believe to be missing from previous research and explain how your research fills in this gap and/or extends previous research.

It is important to note that a significant challenge related to undertaking a literature review is knowing when to stop. As such, it is important to know when you have uncovered the key conceptual categories underlying your research topic. Generally, when you start to see repetition in the conclusions or recommendations, you can have confidence that you have covered all of the significant conceptual categories in your literature review. However, it is also important to acknowledge that researchers often find themselves returning to the literature as they collect and analyze their data. For example, an unexpected finding may develop as you collect and/or analyze the data; in this case, it is important to take the time to step back and review the literature again, to ensure that no other researchers have found a similar finding. This may include looking to research outside your field.

This situation occurred with one of this textbook’s authors’ research related to community resilience. During the interviews, the researchers heard many participants discuss individual resilience factors and how they believed these individual factors helped make the community more resilient, overall. Sheppard and Williams (2016) had not discovered these individual factors in their original literature review on community and environmental resilience. However, when they returned to the literature to search for individual resilience factors, they discovered a small body of literature in the child and youth psychology field. Consequently, Sheppard and Williams had to go back and add a new section to their literature review on individual resilience factors. Interestingly, their research appeared to be the first research to link individual resilience factors with community resilience factors.

Research design and methods

The objective of this section of the research proposal is to convince the reader that your overall research design and methods of analysis will enable you to solve the research problem you have identified and also enable you to accurately and effectively interpret the results of your research. Consequently, it is critical that the research design and methods section is well-written, clear, and logically organized. This demonstrates to your reader that you know what you are going to do and how you are going to do it. Overall, you want to leave your reader feeling confident that you have what it takes to get this research study completed in a timely fashion.

Essentially, this section of the research proposal should be clearly tied to the specific objectives of your study; however, it is also important to draw upon and include examples from the literature review that relate to your design and intended methods. In other words, you must clearly demonstrate how your study utilizes and builds upon past studies, as it relates to the research design and intended methods. For example, what methods have been used by other researchers in similar studies?

While it is important to consider the methods that other researchers have employed, it is equally, if not more, important to consider what methods have not been but could be employed. Remember, the methods section is not simply a list of tasks to be undertaken. It is also an argument as to why and how the tasks you have outlined will help you investigate the research problem and answer your research question(s).

Tips for writing the research design and methods section

Specify the methodological approaches you intend to employ to obtain information and the techniques you will use to analyze the data.

Specify the research operations you will undertake and the way you will interpret the results of those operations in relation to the research problem.

Go beyond stating what you hope to achieve through the methods you have chosen. State how you will actually implement the methods (i.e., coding interview text, running regression analysis, etc.).

Anticipate and acknowledge any potential barriers you may encounter when undertaking your research, and describe how you will address these barriers.

Explain where you believe you will find challenges related to data collection, including access to participants and information.

Preliminary Suppositions and Implications

The purpose of this section is to argue how you anticipate that your research will refine, revise, or extend existing knowledge in the area of your study. Depending upon the aims and objectives of your study, you should also discuss how your anticipated findings may impact future research. For example, is it possible that your research may lead to a new policy, theoretical understanding, or method for analyzing data? How might your study influence future studies? What might your study mean for future practitioners working in the field? Who or what might benefit from your study? How might your study contribute to social, economic or environmental issues? While it is important to think about and discuss possibilities such as these, it is equally important to be realistic in stating your anticipated findings. In other words, you do not want to delve into idle speculation. Rather, the purpose here is to reflect upon gaps in the current body of literature and to describe how you anticipate your research will begin to fill in some or all of those gaps.

The conclusion reiterates the importance and significance of your research proposal, and provides a brief summary of the entire proposed study. Essentially, this section should only be one or two paragraphs in length. Here is a potential outline for your conclusion:

Discuss why the study should be done. Specifically discuss how you expect your study will advance existing knowledge and how your study is unique.

Explain the specific purpose of the study and the research questions that the study will answer.

Explain why the research design and methods chosen for this study are appropriate, and why other designs and methods were not chosen.

State the potential implications you expect to emerge from your proposed study,

Provide a sense of how your study fits within the broader scholarship currently in existence, related to the research problem.

Citations and References

As with any scholarly research paper, you must cite the sources you used in composing your research proposal. In a research proposal, this can take two forms: a reference list or a bibliography. A reference list lists the literature you referenced in the body of your research proposal. All references in the reference list must appear in the body of the research proposal. Remember, it is not acceptable to say “as cited in …” As a researcher you must always go to the original source and check it for yourself. Many errors are made in referencing, even by top researchers, and so it is important not to perpetuate an error made by someone else. While this can be time consuming, it is the proper way to undertake a literature review.

In contrast, a bibliography , is a list of everything you used or cited in your research proposal, with additional citations to any key sources relevant to understanding the research problem. In other words, sources cited in your bibliography may not necessarily appear in the body of your research proposal. Make sure you check with your instructor to see which of the two you are expected to produce.

Overall, your list of citations should be a testament to the fact that you have done a sufficient level of preliminary research to ensure that your project will complement, but not duplicate, previous research efforts. For social sciences, the reference list or bibliography should be prepared in American Psychological Association (APA) referencing format. Usually, the reference list (or bibliography) is not included in the word count of the research proposal. Again, make sure you check with your instructor to confirm.

Research Methods for the Social Sciences: An Introduction Copyright © 2020 by Valerie Sheppard is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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What Is a Research Proposal?

Reference books.

• Writing the Research Paper
• Presenting the Research Paper

When applying for a research grant or scholarship, or, just before you start a major research project, you may be asked to write a preliminary document that includes basic information about your future research. This is the information that is usually needed in your proposal:

• The topic and goal of the research project.
• The kind of result expected from the research.
• The theory or framework in which the research will be done and presented.
• What kind of methods will be used (statistical, empirical, etc.).
• Short reference on the preliminary scholarship and why your research project is needed; how will it continue/justify/disprove the previous scholarship.
• How much will the research project cost; how will it be budgeted (what for the money will be spent).
• Why is it you who can do this research and not somebody else.

Most agencies that offer scholarships or grants provide information about the required format of the proposal. It may include filling out templates, types of information they need, suggested/maximum length of the proposal, etc.

Research proposal formats vary depending on the size of the planned research, the number of participants, the discipline, the characteristics of the research, etc. The following outline assumes an individual researcher. This is just a SAMPLE; several other ways are equally good and can be successful. If possible, discuss your research proposal with an expert in writing, a professor, your colleague, another student who already wrote successful proposals, etc.

• Author, author's affiliation
• Explain the topic and why you chose it. If possible explain your goal/outcome of the research . How much time you need to complete the research?
• Give a brief summary of previous scholarship and explain why your topic and goals are important.
• Relate your planned research to previous scholarship. What will your research add to our knowledge of the topic.
• Break down the main topic into smaller research questions. List them one by one and explain why these questions need to be investigated. Relate them to previous scholarship.
• Include your hypothesis into the descriptions of the detailed research issues if you have one. Explain why it is important to justify your hypothesis.
• This part depends of the methods conducted in the research process. List the methods; explain how the results will be presented; how they will be assessed.
• Explain what kind of results will justify or  disprove your hypothesis. 
• Explain how much money you need.
• Explain the details of the budget (how much you want to spend for what).
• Describe why your research is important.
• List the sources you have used for writing the research proposal, including a few main citations of the preliminary scholarship.

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Home » How To Write A Proposal – Step By Step Guide [With Template]

How To Write A Proposal – Step By Step Guide [With Template]

Table of Contents

How To Write A Proposal

Writing a Proposal involves several key steps to effectively communicate your ideas and intentions to a target audience. Here’s a detailed breakdown of each step:

Identify the Purpose and Audience

• Clearly define the purpose of your proposal: What problem are you addressing, what solution are you proposing, or what goal are you aiming to achieve?
• Identify your target audience: Who will be reading your proposal? Consider their background, interests, and any specific requirements they may have.

Conduct Research

• Gather relevant information: Conduct thorough research to support your proposal. This may involve studying existing literature, analyzing data, or conducting surveys/interviews to gather necessary facts and evidence.
• Understand the context: Familiarize yourself with the current situation or problem you’re addressing. Identify any relevant trends, challenges, or opportunities that may impact your proposal.

Develop an Outline

• Create a clear and logical structure: Divide your proposal into sections or headings that will guide your readers through the content.
• Introduction: Provide a concise overview of the problem, its significance, and the proposed solution.
• Background/Context: Offer relevant background information and context to help the readers understand the situation.
• Objectives/Goals: Clearly state the objectives or goals of your proposal.
• Methodology/Approach: Describe the approach or methodology you will use to address the problem.
• Timeline/Schedule: Present a detailed timeline or schedule outlining the key milestones or activities.
• Budget/Resources: Specify the financial and other resources required to implement your proposal.
• Evaluation/Success Metrics: Explain how you will measure the success or effectiveness of your proposal.
• Conclusion: Summarize the main points and restate the benefits of your proposal.

Write the Proposal

• Grab attention: Start with a compelling opening statement or a brief story that hooks the reader.
• Clearly state the problem: Clearly define the problem or issue you are addressing and explain its significance.
• Present your proposal: Introduce your proposed solution, project, or idea and explain why it is the best approach.
• State the objectives/goals: Clearly articulate the specific objectives or goals your proposal aims to achieve.
• Provide supporting information: Present evidence, data, or examples to support your claims and justify your proposal.
• Explain the methodology: Describe in detail the approach, methods, or strategies you will use to implement your proposal.
• Address potential concerns: Anticipate and address any potential objections or challenges the readers may have and provide counterarguments or mitigation strategies.
• Recap the main points: Summarize the key points you’ve discussed in the proposal.
• Reinforce the benefits: Emphasize the positive outcomes, benefits, or impact your proposal will have.
• Call to action: Clearly state what action you want the readers to take, such as approving the proposal, providing funding, or collaborating with you.

Review and Revise

• Proofread for clarity and coherence: Check for grammar, spelling, and punctuation errors.
• Ensure a logical flow: Read through your proposal to ensure the ideas are presented in a logical order and are easy to follow.
• Revise and refine: Fine-tune your proposal to make it concise, persuasive, and compelling.

Add Supplementary Materials

• Attach relevant documents: Include any supporting materials that strengthen your proposal, such as research findings, charts, graphs, or testimonials.
• Appendices: Add any additional information that might be useful but not essential to the main body of the proposal.

Formatting and Presentation

• Follow the guidelines: Adhere to any specific formatting guidelines provided by the organization or institution to which you are submitting the proposal.
• Use a professional tone and language: Ensure that your proposal is written in a clear, concise, and professional manner.
• Use headings and subheadings: Organize your proposal with clear headings and subheadings to improve readability.
• Pay attention to design: Use appropriate fonts, font sizes, and formatting styles to make your proposal visually appealing.
• Include a cover page: Create a cover page that includes the title of your proposal, your name or organization, the date, and any other required information.

Seek Feedback

• Share your proposal with trusted colleagues or mentors and ask for their feedback. Consider their suggestions for improvement and incorporate them into your proposal if necessary.

Finalize and Submit

• Make any final revisions based on the feedback received.
• Ensure that all required sections, attachments, and documentation are included.
• Double-check for any formatting, grammar, or spelling errors.
• Submit your proposal within the designated deadline and according to the submission guidelines provided.

Proposal Format

The format of a proposal can vary depending on the specific requirements of the organization or institution you are submitting it to. However, here is a general proposal format that you can follow:

1. Title Page:

• Include the title of your proposal, your name or organization’s name, the date, and any other relevant information specified by the guidelines.

2. Executive Summary:

•  Provide a concise overview of your proposal, highlighting the key points and objectives.
• Summarize the problem, proposed solution, and anticipated benefits.
• Keep it brief and engaging, as this section is often read first and should capture the reader’s attention.

3. Introduction:

• State the problem or issue you are addressing and its significance.
• Provide background information to help the reader understand the context and importance of the problem.
• Clearly state the purpose and objectives of your proposal.

4. Problem Statement:

• Describe the problem in detail, highlighting its impact and consequences.
• Use data, statistics, or examples to support your claims and demonstrate the need for a solution.

5. Proposed Solution or Project Description:

• Explain your proposed solution or project in a clear and detailed manner.
• Describe how your solution addresses the problem and why it is the most effective approach.
• Include information on the methods, strategies, or activities you will undertake to implement your solution.
• Highlight any unique features, innovations, or advantages of your proposal.

6. Methodology:

• Provide a step-by-step explanation of the methodology or approach you will use to implement your proposal.
• Include a timeline or schedule that outlines the key milestones, tasks, and deliverables.
• Clearly describe the resources, personnel, or expertise required for each phase of the project.

7. Evaluation and Success Metrics:

• Explain how you will measure the success or effectiveness of your proposal.
• Identify specific metrics, indicators, or evaluation methods that will be used.
• Describe how you will track progress, gather feedback, and make adjustments as needed.
• Present a detailed budget that outlines the financial resources required for your proposal.
• Include all relevant costs, such as personnel, materials, equipment, and any other expenses.
• Provide a justification for each item in the budget.

9. Conclusion:

•  Summarize the main points of your proposal.
•  Reiterate the benefits and positive outcomes of implementing your proposal.
• Emphasize the value and impact it will have on the organization or community.

10. Appendices:

• Include any additional supporting materials, such as research findings, charts, graphs, or testimonials.
•  Attach any relevant documents that provide further information but are not essential to the main body of the proposal.

Proposal Template

Here’s a basic proposal template that you can use as a starting point for creating your own proposal:

Dear [Recipient’s Name],

I am writing to submit a proposal for [briefly state the purpose of the proposal and its significance]. This proposal outlines a comprehensive solution to address [describe the problem or issue] and presents an actionable plan to achieve the desired objectives.

Thank you for considering this proposal. I believe that implementing this solution will significantly contribute to [organization’s or community’s goals]. I am available to discuss the proposal in more detail at your convenience. Please feel free to contact me at [your email address or phone number].

Yours sincerely,

Note: This template is a starting point and should be customized to meet the specific requirements and guidelines provided by the organization or institution to which you are submitting the proposal.

Proposal Sample

Here’s a sample proposal to give you an idea of how it could be structured and written:

Subject : Proposal for Implementation of Environmental Education Program

I am pleased to submit this proposal for your consideration, outlining a comprehensive plan for the implementation of an Environmental Education Program. This program aims to address the critical need for environmental awareness and education among the community, with the objective of fostering a sense of responsibility and sustainability.

Executive Summary: Our proposed Environmental Education Program is designed to provide engaging and interactive educational opportunities for individuals of all ages. By combining classroom learning, hands-on activities, and community engagement, we aim to create a long-lasting impact on environmental conservation practices and attitudes.

Introduction: The state of our environment is facing significant challenges, including climate change, habitat loss, and pollution. It is essential to equip individuals with the knowledge and skills to understand these issues and take action. This proposal seeks to bridge the gap in environmental education and inspire a sense of environmental stewardship among the community.

Problem Statement: The lack of environmental education programs has resulted in limited awareness and understanding of environmental issues. As a result, individuals are less likely to adopt sustainable practices or actively contribute to conservation efforts. Our program aims to address this gap and empower individuals to become environmentally conscious and responsible citizens.

Proposed Solution or Project Description: Our Environmental Education Program will comprise a range of activities, including workshops, field trips, and community initiatives. We will collaborate with local schools, community centers, and environmental organizations to ensure broad participation and maximum impact. By incorporating interactive learning experiences, such as nature walks, recycling drives, and eco-craft sessions, we aim to make environmental education engaging and enjoyable.

Methodology: Our program will be structured into modules that cover key environmental themes, such as biodiversity, climate change, waste management, and sustainable living. Each module will include a mix of classroom sessions, hands-on activities, and practical field experiences. We will also leverage technology, such as educational apps and online resources, to enhance learning outcomes.

Evaluation and Success Metrics: We will employ a combination of quantitative and qualitative measures to evaluate the effectiveness of the program. Pre- and post-assessments will gauge knowledge gain, while surveys and feedback forms will assess participant satisfaction and behavior change. We will also track the number of community engagement activities and the adoption of sustainable practices as indicators of success.

Budget: Please find attached a detailed budget breakdown for the implementation of the Environmental Education Program. The budget covers personnel costs, materials and supplies, transportation, and outreach expenses. We have ensured cost-effectiveness while maintaining the quality and impact of the program.

Conclusion: By implementing this Environmental Education Program, we have the opportunity to make a significant difference in our community’s environmental consciousness and practices. We are confident that this program will foster a generation of individuals who are passionate about protecting our environment and taking sustainable actions. We look forward to discussing the proposal further and working together to make a positive impact.

Thank you for your time and consideration. Should you have any questions or require additional information, please do not hesitate to contact me at [your email address or phone number].

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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• Indian J Anaesth
• v.60(9); 2016 Sep

How to write a research proposal?

Department of Anaesthesiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India

Devika Rani Duggappa

Writing the proposal of a research work in the present era is a challenging task due to the constantly evolving trends in the qualitative research design and the need to incorporate medical advances into the methodology. The proposal is a detailed plan or ‘blueprint’ for the intended study, and once it is completed, the research project should flow smoothly. Even today, many of the proposals at post-graduate evaluation committees and application proposals for funding are substandard. A search was conducted with keywords such as research proposal, writing proposal and qualitative using search engines, namely, PubMed and Google Scholar, and an attempt has been made to provide broad guidelines for writing a scientifically appropriate research proposal.

INTRODUCTION

A clean, well-thought-out proposal forms the backbone for the research itself and hence becomes the most important step in the process of conduct of research.[ 1 ] The objective of preparing a research proposal would be to obtain approvals from various committees including ethics committee [details under ‘Research methodology II’ section [ Table 1 ] in this issue of IJA) and to request for grants. However, there are very few universally accepted guidelines for preparation of a good quality research proposal. A search was performed with keywords such as research proposal, funding, qualitative and writing proposals using search engines, namely, PubMed, Google Scholar and Scopus.

Five ‘C’s while writing a literature review

BASIC REQUIREMENTS OF A RESEARCH PROPOSAL

A proposal needs to show how your work fits into what is already known about the topic and what new paradigm will it add to the literature, while specifying the question that the research will answer, establishing its significance, and the implications of the answer.[ 2 ] The proposal must be capable of convincing the evaluation committee about the credibility, achievability, practicality and reproducibility (repeatability) of the research design.[ 3 ] Four categories of audience with different expectations may be present in the evaluation committees, namely academic colleagues, policy-makers, practitioners and lay audiences who evaluate the research proposal. Tips for preparation of a good research proposal include; ‘be practical, be persuasive, make broader links, aim for crystal clarity and plan before you write’. A researcher must be balanced, with a realistic understanding of what can be achieved. Being persuasive implies that researcher must be able to convince other researchers, research funding agencies, educational institutions and supervisors that the research is worth getting approval. The aim of the researcher should be clearly stated in simple language that describes the research in a way that non-specialists can comprehend, without use of jargons. The proposal must not only demonstrate that it is based on an intelligent understanding of the existing literature but also show that the writer has thought about the time needed to conduct each stage of the research.[ 4 , 5 ]

CONTENTS OF A RESEARCH PROPOSAL

The contents or formats of a research proposal vary depending on the requirements of evaluation committee and are generally provided by the evaluation committee or the institution.

In general, a cover page should contain the (i) title of the proposal, (ii) name and affiliation of the researcher (principal investigator) and co-investigators, (iii) institutional affiliation (degree of the investigator and the name of institution where the study will be performed), details of contact such as phone numbers, E-mail id's and lines for signatures of investigators.

The main contents of the proposal may be presented under the following headings: (i) introduction, (ii) review of literature, (iii) aims and objectives, (iv) research design and methods, (v) ethical considerations, (vi) budget, (vii) appendices and (viii) citations.[ 4 ]

Introduction

It is also sometimes termed as ‘need for study’ or ‘abstract’. Introduction is an initial pitch of an idea; it sets the scene and puts the research in context.[ 6 ] The introduction should be designed to create interest in the reader about the topic and proposal. It should convey to the reader, what you want to do, what necessitates the study and your passion for the topic.[ 7 ] Some questions that can be used to assess the significance of the study are: (i) Who has an interest in the domain of inquiry? (ii) What do we already know about the topic? (iii) What has not been answered adequately in previous research and practice? (iv) How will this research add to knowledge, practice and policy in this area? Some of the evaluation committees, expect the last two questions, elaborated under a separate heading of ‘background and significance’.[ 8 ] Introduction should also contain the hypothesis behind the research design. If hypothesis cannot be constructed, the line of inquiry to be used in the research must be indicated.

Review of literature

It refers to all sources of scientific evidence pertaining to the topic in interest. In the present era of digitalisation and easy accessibility, there is an enormous amount of relevant data available, making it a challenge for the researcher to include all of it in his/her review.[ 9 ] It is crucial to structure this section intelligently so that the reader can grasp the argument related to your study in relation to that of other researchers, while still demonstrating to your readers that your work is original and innovative. It is preferable to summarise each article in a paragraph, highlighting the details pertinent to the topic of interest. The progression of review can move from the more general to the more focused studies, or a historical progression can be used to develop the story, without making it exhaustive.[ 1 ] Literature should include supporting data, disagreements and controversies. Five ‘C's may be kept in mind while writing a literature review[ 10 ] [ Table 1 ].

Aims and objectives

The research purpose (or goal or aim) gives a broad indication of what the researcher wishes to achieve in the research. The hypothesis to be tested can be the aim of the study. The objectives related to parameters or tools used to achieve the aim are generally categorised as primary and secondary objectives.

Research design and method

The objective here is to convince the reader that the overall research design and methods of analysis will correctly address the research problem and to impress upon the reader that the methodology/sources chosen are appropriate for the specific topic. It should be unmistakably tied to the specific aims of your study.

In this section, the methods and sources used to conduct the research must be discussed, including specific references to sites, databases, key texts or authors that will be indispensable to the project. There should be specific mention about the methodological approaches to be undertaken to gather information, about the techniques to be used to analyse it and about the tests of external validity to which researcher is committed.[ 10 , 11 ]

The components of this section include the following:[ 4 ]

Population and sample

Population refers to all the elements (individuals, objects or substances) that meet certain criteria for inclusion in a given universe,[ 12 ] and sample refers to subset of population which meets the inclusion criteria for enrolment into the study. The inclusion and exclusion criteria should be clearly defined. The details pertaining to sample size are discussed in the article “Sample size calculation: Basic priniciples” published in this issue of IJA.

Data collection

The researcher is expected to give a detailed account of the methodology adopted for collection of data, which include the time frame required for the research. The methodology should be tested for its validity and ensure that, in pursuit of achieving the results, the participant's life is not jeopardised. The author should anticipate and acknowledge any potential barrier and pitfall in carrying out the research design and explain plans to address them, thereby avoiding lacunae due to incomplete data collection. If the researcher is planning to acquire data through interviews or questionnaires, copy of the questions used for the same should be attached as an annexure with the proposal.

Rigor (soundness of the research)

This addresses the strength of the research with respect to its neutrality, consistency and applicability. Rigor must be reflected throughout the proposal.

It refers to the robustness of a research method against bias. The author should convey the measures taken to avoid bias, viz. blinding and randomisation, in an elaborate way, thus ensuring that the result obtained from the adopted method is purely as chance and not influenced by other confounding variables.

Consistency

Consistency considers whether the findings will be consistent if the inquiry was replicated with the same participants and in a similar context. This can be achieved by adopting standard and universally accepted methods and scales.

Applicability

Applicability refers to the degree to which the findings can be applied to different contexts and groups.[ 13 ]

Data analysis

This section deals with the reduction and reconstruction of data and its analysis including sample size calculation. The researcher is expected to explain the steps adopted for coding and sorting the data obtained. Various tests to be used to analyse the data for its robustness, significance should be clearly stated. Author should also mention the names of statistician and suitable software which will be used in due course of data analysis and their contribution to data analysis and sample calculation.[ 9 ]

Ethical considerations

Medical research introduces special moral and ethical problems that are not usually encountered by other researchers during data collection, and hence, the researcher should take special care in ensuring that ethical standards are met. Ethical considerations refer to the protection of the participants' rights (right to self-determination, right to privacy, right to autonomy and confidentiality, right to fair treatment and right to protection from discomfort and harm), obtaining informed consent and the institutional review process (ethical approval). The researcher needs to provide adequate information on each of these aspects.

Informed consent needs to be obtained from the participants (details discussed in further chapters), as well as the research site and the relevant authorities.

When the researcher prepares a research budget, he/she should predict and cost all aspects of the research and then add an additional allowance for unpredictable disasters, delays and rising costs. All items in the budget should be justified.

Appendices are documents that support the proposal and application. The appendices will be specific for each proposal but documents that are usually required include informed consent form, supporting documents, questionnaires, measurement tools and patient information of the study in layman's language.

As with any scholarly research paper, you must cite the sources you used in composing your proposal. Although the words ‘references and bibliography’ are different, they are used interchangeably. It refers to all references cited in the research proposal.

Successful, qualitative research proposals should communicate the researcher's knowledge of the field and method and convey the emergent nature of the qualitative design. The proposal should follow a discernible logic from the introduction to presentation of the appendices.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

• Essay Editor

How to Write a Methodology in a Research Proposal

In academic research, crafting a solid methodology is crucial, acting as the foundation for a reliable study structure. It provides the framework that guides the investigation towards addressing research questions and achieving study objectives. Understanding ‘What is methodology in research?’, the components it entails, its efficient organization, and the essential steps required, is vital for aspiring academics.

This comprehensive guide explores the intricacies of accurately generating a methods section in a research proposal. It includes examples, insights, and strategies meticulously drawn from reputable academic sources, experienced instructors, and educational platforms.

What is a Research Proposal Methodology?

The thought-provoking part – methodology in a research paper – acts as a guide that describes the methods of analysis, research instruments, and procedures utilized to conduct the investigation. It delineates the survey design, analysis techniques, data retrieval methods, and ethics-related concerns, crucial for carrying out the investigation. Let's say that in a qualitative survey exploring the influence of social media on mental well-being, the approach section would elucidate how data is compiled through participant interviews or assessments and examined using thematic analysis.

Struggling with ‘how to write a research proposal’? Explore how our AI-powered Aithor Text Generator Assistant transforms the process, seamlessly generating content, reviewing errors, and providing suggestions for ideas and citations. Enhance your work’s proposal effortlessly with our comprehensive tool.

The Structure of the Research Proposal Methodology

In generating a research proposal, the written part for methodology serves as a pivotal element that charts the course of the investigation, delineating the stages and strategies to be employed. Let’s delve into essential elements to feature in this section.

1.  Research Design: Begin by elucidating the overall academic design of your survey, whether it's a quantitative, qualitative method, or mixed. Let’s say, a quantitative investigation may employ surveys with closed-ended queries to compile numerical data. 

2.  Data Retrieval Methods: Delineate the specific approaches employed to compile data, comprising observations, experiments, interviews, or previously collected material – secondary data analysis. Each method must be justified based on its suitability for addressing the investigation queries.

3.  Sampling Strategy: Describe the way survey participants or data samples are selected, ensuring representativeness, and minimizing bias. As an example, a random sampling method may select partakers from the population.

4.  Data Analysis Techniques: Detail the analytical tools and tactics you will use to scrutinize the compiled data. This can involve various methods such as content analysis, thematic exploration, statistical evaluation, or discourse examination, based on the research queries and the data type.

5.  Ethical Concerns: Consider ethical issues like informed consent, privacy-related concerns, confidentiality, and potential threats to participants. Abiding by ethical guidelines is pivotal for upholding investigation trustworthiness.

Largely, the research design outlines how the inquiry will proceed and guarantees precision and dependability in achieving its objectives.  

How to Write a Methodology Section for Research Proposals: The Essential Steps

Creating a well-planned methods section is essential for precisely managing your investigation. Curious about how to write a methodology section? Begin by clearly defining your investigation issue and the hypothesis to set a robust foundation for your inquiry.

Step 1: Specify a Problem Statement and a Strong Hypothesis

Firstly, state the investigation problem, or query that your work aims to address. Here’s a sample: "The study intends to explore the correlation between youngsters' use of social media and their resulting mental well-being."

Express a strong hypothesis that predicts the expected connection between variables. For instance, "It is hypothesized that greater social site usage linked negatively to self-reported mental health records."

Step 2: Define Your Methodological Approach

Select an appropriate methodological approach depending on your investigation design from techniques named qualitative, quantitative, or mixed.

Validate your preference of approach by explaining its suitability for addressing the queries and aims. To illustrate, "A qualitative method is selected to analyze participants' lived experiences and views regarding social media usage and psychological health."

Step 3: Outline Data Collection Methods

Detail the approaches used to gather data, comprising the tools utilized.

For example, "Semi-structured interviews will be conducted to gather rich qualitative records on participants' experiences with social media platforms."

Discuss any pilot testing or validation procedures conducted for the data retrieval mechanisms.

Step 4: Detail Data Analysis Procedures

Specify the analytical methods employed to assess the gathered data. For instance, "Thematic analysis will be utilized to uncover recurring patterns and themes in the interview transcripts concerning the usage of social media impact and mental condition outcomes."

Examine how data saturation or triangulation will be achieved to establish credibility for the investigation findings.

Step 5: Address Ethical Concerns

Offer a comprehensive overview of the ethical concerns in the inquiry, comprising safeguarding participants' privacy, attaining informed consent, and addressing potential risks.

Detail any ethical approvals or permissions obtained from relevant committees that oversee investigation like ethics panels or IRBs – institution-focused review boards.

Briefly, addressing ethical concerns and obtaining necessary approvals are critical steps in safeguarding the credibility of your inquiry outcomes. Also, stay updated on the methodology outline format to make sure your analysis proposal aligns with current standards and best practices. By precisely detailing your methodology ethics and practices, you contribute significantly to advancing expertise in your domain.

Tips on Improving Your Methodology Section - Strategies and Examples

How can you guarantee that your procedures section is succinct, coherent, and easily comprehensible? Below, we provide actionable steps to guide you in constructing a methodology that elevates the clarity of your writing.

1.  Clarity and Precision: Check and refine your methods section for conciseness, clarity, and lack of ambiguity. Use straightforward language and avoid words or phrases like jargon or technical terms that may hinder reader understanding.

2.  Justification: Justify every methodology-based selection by explaining its rationale and relevance to your investigation objectives. For example, "The use of purposive sampling ensures the inclusion of participants with diverse experiences related to social media usage."

3.  Transparency: Be sufficiently transparent about any limitations or constraints in this part, be it data collection challenges or sample size limitations. This enhances the trustworthiness of your work.

4.  Validation: Discuss any validation or reliability checks conducted for your data retrieval instruments or analytical procedures. Verification improves the reliability and authenticity of your findings.

5.  Peer Review: Consider obtaining feedback from researchers who are knowledgeable about study methodology to review, enhance, and polish your methodology section. Peer review acts as a helping tool to detect potential weaknesses or areas needing enhancement.

Prioritize justification, transparency, validation, and peer feedback to increase the validity and integrity of your methodology. These elements significantly contribute to the progression of knowledge in your academic field.

Final Thoughts

To wrap up, comprehending how to write a methodology section in a study proposal and eventually mastering this art is essential for carrying out impactful and rigorous studies. By following the ethical guidelines and outlined steps, and carefully organizing your methods section, you elevate the quality and credibility of your investigation. A well-designed methodology supports both your inquiry's execution and the advancement of expertise in your field. Best of luck with your research!

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17 Research Proposal Examples

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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A research proposal systematically and transparently outlines a proposed research project.

The purpose of a research proposal is to demonstrate a project’s viability and the researcher’s preparedness to conduct an academic study. It serves as a roadmap for the researcher.

The process holds value both externally (for accountability purposes and often as a requirement for a grant application) and intrinsic value (for helping the researcher to clarify the mechanics, purpose, and potential signficance of the study).

Key sections of a research proposal include: the title, abstract, introduction, literature review, research design and methods, timeline, budget, outcomes and implications, references, and appendix. Each is briefly explained below.

Watch my Guide: How to Write a Research Proposal

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Research Proposal Sample Structure

Title: The title should present a concise and descriptive statement that clearly conveys the core idea of the research projects. Make it as specific as possible. The reader should immediately be able to grasp the core idea of the intended research project. Often, the title is left too vague and does not help give an understanding of what exactly the study looks at.

Abstract: Abstracts are usually around 250-300 words and provide an overview of what is to follow – including the research problem , objectives, methods, expected outcomes, and significance of the study. Use it as a roadmap and ensure that, if the abstract is the only thing someone reads, they’ll get a good fly-by of what will be discussed in the peice.

Introduction: Introductions are all about contextualization. They often set the background information with a statement of the problem. At the end of the introduction, the reader should understand what the rationale for the study truly is. I like to see the research questions or hypotheses included in the introduction and I like to get a good understanding of what the significance of the research will be. It’s often easiest to write the introduction last

Literature Review: The literature review dives deep into the existing literature on the topic, demosntrating your thorough understanding of the existing literature including themes, strengths, weaknesses, and gaps in the literature. It serves both to demonstrate your knowledge of the field and, to demonstrate how the proposed study will fit alongside the literature on the topic. A good literature review concludes by clearly demonstrating how your research will contribute something new and innovative to the conversation in the literature.

Research Design and Methods: This section needs to clearly demonstrate how the data will be gathered and analyzed in a systematic and academically sound manner. Here, you need to demonstrate that the conclusions of your research will be both valid and reliable. Common points discussed in the research design and methods section include highlighting the research paradigm, methodologies, intended population or sample to be studied, data collection techniques, and data analysis procedures . Toward the end of this section, you are encouraged to also address ethical considerations and limitations of the research process , but also to explain why you chose your research design and how you are mitigating the identified risks and limitations.

Timeline: Provide an outline of the anticipated timeline for the study. Break it down into its various stages (including data collection, data analysis, and report writing). The goal of this section is firstly to establish a reasonable breakdown of steps for you to follow and secondly to demonstrate to the assessors that your project is practicable and feasible.

Budget: Estimate the costs associated with the research project and include evidence for your estimations. Typical costs include staffing costs, equipment, travel, and data collection tools. When applying for a scholarship, the budget should demonstrate that you are being responsible with your expensive and that your funding application is reasonable.

Expected Outcomes and Implications: A discussion of the anticipated findings or results of the research, as well as the potential contributions to the existing knowledge, theory, or practice in the field. This section should also address the potential impact of the research on relevant stakeholders and any broader implications for policy or practice.

References: A complete list of all the sources cited in the research proposal, formatted according to the required citation style. This demonstrates the researcher’s familiarity with the relevant literature and ensures proper attribution of ideas and information.

Appendices (if applicable): Any additional materials, such as questionnaires, interview guides, or consent forms, that provide further information or support for the research proposal. These materials should be included as appendices at the end of the document.

Research Proposal Examples

Research proposals often extend anywhere between 2,000 and 15,000 words in length. The following snippets are samples designed to briefly demonstrate what might be discussed in each section.

1. Education Studies Research Proposals

See some real sample pieces:

• Assessment of the perceptions of teachers towards a new grading system
• Does ICT use in secondary classrooms help or hinder student learning?
• Digital technologies in focus project
• Urban Middle School Teachers’ Experiences of the Implementation of
• Restorative Justice Practices
• Experiences of students of color in service learning

Consider this hypothetical education research proposal:

The Impact of Game-Based Learning on Student Engagement and Academic Performance in Middle School Mathematics

Abstract: The proposed study will explore multiplayer game-based learning techniques in middle school mathematics curricula and their effects on student engagement. The study aims to contribute to the current literature on game-based learning by examining the effects of multiplayer gaming in learning.

Introduction: Digital game-based learning has long been shunned within mathematics education for fears that it may distract students or lower the academic integrity of the classrooms. However, there is emerging evidence that digital games in math have emerging benefits not only for engagement but also academic skill development. Contributing to this discourse, this study seeks to explore the potential benefits of multiplayer digital game-based learning by examining its impact on middle school students’ engagement and academic performance in a mathematics class.

Literature Review: The literature review has identified gaps in the current knowledge, namely, while game-based learning has been extensively explored, the role of multiplayer games in supporting learning has not been studied.

Research Design and Methods: This study will employ a mixed-methods research design based upon action research in the classroom. A quasi-experimental pre-test/post-test control group design will first be used to compare the academic performance and engagement of middle school students exposed to game-based learning techniques with those in a control group receiving instruction without the aid of technology. Students will also be observed and interviewed in regard to the effect of communication and collaboration during gameplay on their learning.

Timeline: The study will take place across the second term of the school year with a pre-test taking place on the first day of the term and the post-test taking place on Wednesday in Week 10.

Budget: The key budgetary requirements will be the technologies required, including the subscription cost for the identified games and computers.

Expected Outcomes and Implications: It is expected that the findings will contribute to the current literature on game-based learning and inform educational practices, providing educators and policymakers with insights into how to better support student achievement in mathematics.

2. Psychology Research Proposals

See some real examples:

• A situational analysis of shared leadership in a self-managing team
• The effect of musical preference on running performance
• Relationship between self-esteem and disordered eating amongst adolescent females

Consider this hypothetical psychology research proposal:

The Effects of Mindfulness-Based Interventions on Stress Reduction in College Students

Abstract: This research proposal examines the impact of mindfulness-based interventions on stress reduction among college students, using a pre-test/post-test experimental design with both quantitative and qualitative data collection methods .

Introduction: College students face heightened stress levels during exam weeks. This can affect both mental health and test performance. This study explores the potential benefits of mindfulness-based interventions such as meditation as a way to mediate stress levels in the weeks leading up to exam time.

Literature Review: Existing research on mindfulness-based meditation has shown the ability for mindfulness to increase metacognition, decrease anxiety levels, and decrease stress. Existing literature has looked at workplace, high school and general college-level applications. This study will contribute to the corpus of literature by exploring the effects of mindfulness directly in the context of exam weeks.

Research Design and Methods: Participants ( n= 234 ) will be randomly assigned to either an experimental group, receiving 5 days per week of 10-minute mindfulness-based interventions, or a control group, receiving no intervention. Data will be collected through self-report questionnaires, measuring stress levels, semi-structured interviews exploring participants’ experiences, and students’ test scores.

Timeline: The study will begin three weeks before the students’ exam week and conclude after each student’s final exam. Data collection will occur at the beginning (pre-test of self-reported stress levels) and end (post-test) of the three weeks.

Expected Outcomes and Implications: The study aims to provide evidence supporting the effectiveness of mindfulness-based interventions in reducing stress among college students in the lead up to exams, with potential implications for mental health support and stress management programs on college campuses.

3. Sociology Research Proposals

• Understanding emerging social movements: A case study of ‘Jersey in Transition’
• The interaction of health, education and employment in Western China
• Can we preserve lower-income affordable neighbourhoods in the face of rising costs?

Consider this hypothetical sociology research proposal:

The Impact of Social Media Usage on Interpersonal Relationships among Young Adults

Abstract: This research proposal investigates the effects of social media usage on interpersonal relationships among young adults, using a longitudinal mixed-methods approach with ongoing semi-structured interviews to collect qualitative data.

Introduction: Social media platforms have become a key medium for the development of interpersonal relationships, particularly for young adults. This study examines the potential positive and negative effects of social media usage on young adults’ relationships and development over time.

Literature Review: A preliminary review of relevant literature has demonstrated that social media usage is central to development of a personal identity and relationships with others with similar subcultural interests. However, it has also been accompanied by data on mental health deline and deteriorating off-screen relationships. The literature is to-date lacking important longitudinal data on these topics.

Research Design and Methods: Participants ( n = 454 ) will be young adults aged 18-24. Ongoing self-report surveys will assess participants’ social media usage, relationship satisfaction, and communication patterns. A subset of participants will be selected for longitudinal in-depth interviews starting at age 18 and continuing for 5 years.

Timeline: The study will be conducted over a period of five years, including recruitment, data collection, analysis, and report writing.

Expected Outcomes and Implications: This study aims to provide insights into the complex relationship between social media usage and interpersonal relationships among young adults, potentially informing social policies and mental health support related to social media use.

4. Nursing Research Proposals

• Does Orthopaedic Pre-assessment clinic prepare the patient for admission to hospital?
• Nurses’ perceptions and experiences of providing psychological care to burns patients
• Registered psychiatric nurse’s practice with mentally ill parents and their children

Consider this hypothetical nursing research proposal:

The Influence of Nurse-Patient Communication on Patient Satisfaction and Health Outcomes following Emergency Cesarians

Abstract: This research will examines the impact of effective nurse-patient communication on patient satisfaction and health outcomes for women following c-sections, utilizing a mixed-methods approach with patient surveys and semi-structured interviews.

Introduction: It has long been known that effective communication between nurses and patients is crucial for quality care. However, additional complications arise following emergency c-sections due to the interaction between new mother’s changing roles and recovery from surgery.

Literature Review: A review of the literature demonstrates the importance of nurse-patient communication, its impact on patient satisfaction, and potential links to health outcomes. However, communication between nurses and new mothers is less examined, and the specific experiences of those who have given birth via emergency c-section are to date unexamined.

Research Design and Methods: Participants will be patients in a hospital setting who have recently had an emergency c-section. A self-report survey will assess their satisfaction with nurse-patient communication and perceived health outcomes. A subset of participants will be selected for in-depth interviews to explore their experiences and perceptions of the communication with their nurses.

Timeline: The study will be conducted over a period of six months, including rolling recruitment, data collection, analysis, and report writing within the hospital.

Expected Outcomes and Implications: This study aims to provide evidence for the significance of nurse-patient communication in supporting new mothers who have had an emergency c-section. Recommendations will be presented for supporting nurses and midwives in improving outcomes for new mothers who had complications during birth.

5. Social Work Research Proposals

• Experiences of negotiating employment and caring responsibilities of fathers post-divorce
• Exploring kinship care in the north region of British Columbia

Consider this hypothetical social work research proposal:

The Role of a Family-Centered Intervention in Preventing Homelessness Among At-Risk Youthin a working-class town in Northern England

Abstract: This research proposal investigates the effectiveness of a family-centered intervention provided by a local council area in preventing homelessness among at-risk youth. This case study will use a mixed-methods approach with program evaluation data and semi-structured interviews to collect quantitative and qualitative data .

Introduction: Homelessness among youth remains a significant social issue. This study aims to assess the effectiveness of family-centered interventions in addressing this problem and identify factors that contribute to successful prevention strategies.

Literature Review: A review of the literature has demonstrated several key factors contributing to youth homelessness including lack of parental support, lack of social support, and low levels of family involvement. It also demonstrates the important role of family-centered interventions in addressing this issue. Drawing on current evidence, this study explores the effectiveness of one such intervention in preventing homelessness among at-risk youth in a working-class town in Northern England.

Research Design and Methods: The study will evaluate a new family-centered intervention program targeting at-risk youth and their families. Quantitative data on program outcomes, including housing stability and family functioning, will be collected through program records and evaluation reports. Semi-structured interviews with program staff, participants, and relevant stakeholders will provide qualitative insights into the factors contributing to program success or failure.

Timeline: The study will be conducted over a period of six months, including recruitment, data collection, analysis, and report writing.

Budget: Expenses include access to program evaluation data, interview materials, data analysis software, and any related travel costs for in-person interviews.

Expected Outcomes and Implications: This study aims to provide evidence for the effectiveness of family-centered interventions in preventing youth homelessness, potentially informing the expansion of or necessary changes to social work practices in Northern England.

Research Proposal Template

Get your Detailed Template for Writing your Research Proposal Here (With AI Prompts!)

This is a template for a 2500-word research proposal. You may find it difficult to squeeze everything into this wordcount, but it’s a common wordcount for Honors and MA-level dissertations.

Your research proposal is where you really get going with your study. I’d strongly recommend working closely with your teacher in developing a research proposal that’s consistent with the requirements and culture of your institution, as in my experience it varies considerably. The above template is from my own courses that walk students through research proposals in a British School of Education.

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 10 Reasons you’re Perpetually Single
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 20 Montessori Toddler Bedrooms (Design Inspiration)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 21 Montessori Homeschool Setups
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 101 Hidden Talents Examples

8 thoughts on “17 Research Proposal Examples”

Very excellent research proposals

very helpful

Very helpful

Dear Sir, I need some help to write an educational research proposal. Thank you.

Hi Levi, use the site search bar to ask a question and I’ll likely have a guide already written for your specific question. Thanks for reading!

very good research proposal

Thank you so much sir! ❤️

Very helpful 👌

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Proposal Development

To develop a research project and prepare a proposal for submission takes many steps. The Office of Research aims to provide and identify services and resources to aid you in these efforts.

Proposal development is a combination of Research Administration, understanding the policies and procedures of the proposal and award process, and Research Development, the capacity-building activities for increasing competitiveness and proposal success.

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Proposal Development

Definition: Proposal development is the process of creating a comprehensive and persuasive document that outlines a proposed solution, project, or initiative to address a specific need or problem. It is commonly used in business, government, and nonprofit sectors to secure funding, contracts, partnerships, or approval for a project.

The Goal of Proposal Development

Notional steps in a proposal development process, step 1: form your team, step 2: plan, step 3: develop the outline, step 4: hold a formal kickoff meeting, step 5: prepare story board, step 6: pink review, step 7: prepare the first draft, step 8: prepare the second draft, step 9: red team review, step 10: submit the final draft, acqnotes tutorial, capturing lessons learned, acqlinks and references:, leave a reply.

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Speaker 1: Hi, my name is Shady Atia. I'm going to present today a presentation on writing a research proposal. This is a very important presentation for postgraduates in order to learn how to write a research proposal. My presentation will go through four main axes. I will present how to write a what is actually a research proposal, how to define your topic, how to organize your research proposal and finally how to write it technically and presented. Well, let's see the first question. What is a research proposal? A research proposal is a statement of intent where you describe your intentions and simply we can describe it into a motivational intention manuscript where you declare your intentions and show your motivations and it's very important in this sense that you define the scope of your topic, the subject enough it has to be specific enough and you have to have a specific aim and objective related to your topic and definitely it would reflect your interest and it should be your own research so therefore you should also explain why is this topic better than other topics and you have to show that this is the first time subject that will be innovative you not previously addressed in a way and that you will carry that responsibility and present it through the research proposal. Well, the next question comes to what are the types of research proposal that we have. Many people get confused about that. We have a research proposal that is mainly under a thesis. A thesis is mainly a manuscript that you write for a master degree and it answers a research question based on existing knowledge. And here we are looking to your capacity to critical think and analyze deep information and process that and presented as new knowledge. While there is another type of manuscript that is called dissertations, the dissertations that are mainly for PhD doctoral degrees and in this sense you have to create a significant new contribution to knowledge and you have to come up with a new solution for a problem or a cure for a certain contextual problem. Well there is a third type of research proposal that you could write for funding grants like the Belgian research institutes or you write it for national research organizations in order to go through a competition process to win a funding to cover research topic okay well these are the three type of proposal that you can write next I will move to the second important question how to define your topic this is a not an easy task because you are most probably not having large experience with doing research and sometimes it's very difficult to do that so in this sense you have to define your topic and the process should start by identifying a general idea or an area of research and then develop it and focus on a certain research question so you have to ask yourself the following question is the topic related to real life because we are looking to applied science we are looking applied research So you have to make sure that this is related to real life. When you answer this question, you have to come to the next question. Is your topic related to societal problem? Is it a real problem in the society that your research is addressing? Is your topic going to be useful and interesting or did someone before answer it? So you must make sure that the topic is useful and interesting. Is your topic focused and specific or is it very broad and large? The more the topic is large and generic, the more it's difficult to come up with something new, it's difficult to process the work. Can your idea fill a gap in research? Do we have a problem or a topic that was not addressed previously by another researcher? So you have also to make sure that your research topic is not a kind of common topic that has been processed by many people. Always you must look for a gap or something that is missing and make sure that your research will cover that area and definitely you should ask yourself will this study generate new knowledge and this is very important because when you generate new knowledge then you have a real contribution and your research is worthy and you should also ask would the benefit from it the architects the engineers the professional in your field is it going to advance the understanding or influence policy this is very important and definitely finally should ask yourself Will this study fill a gap in existing knowledge or resolve current controversies? So these kind of series of questions, you can use them as a kind of checklist, as a starting approach, after defining a general topic you are interested in, and go step by step trying to answer them until you can define and shape your research topic. Well, there are some golden rules you should keep in mind while defining your research topic. You must be passionate about the topic because it should come from you. It should be your interest that you are related. You might ask your supervisor or follow a previously developed idea or concept from your supervisor or your professor. But in the same time, you must have the passion related to this topic. So this is very important. The second Gordon rule is related to the discoveries. Could the topic lead to discoveries? you should not promise to guarantee a discovery, but you should have a kind of estimation this could topic lead to discoveries or not. And you have to make sure that this is catchy topic. It catch the attention. People will be interested in it. It's grabby. It's really related to society. People will really would like to listen to what you are going to present and read it through your manuscripts. And definitely you have to formulate very clearly your objectives and aims so that you are focused in your research and having a very specific topic. And finally, you should select a supervisor, he or she that can help you through this process and has the ability and the skills to guide you through the process. So these are kind of five golden rules I would like to highlight. You must follow them to make sure that you are on the right track. Now, after describing what is a research proposal and how to do it, I would start to talk about the content. The content is very important. Many people don't know how to write a proposal, what should be the order of the information. And here are kind of 10 major elements you should focus on in writing a research proposal. You should cover issues related to the title and the keywords related to your research topic, brief abstract describing your topic, a problem statement, aims and objectives, the significance and importance of your topic and the audience that your research is catering for, the state of the art, the methodologies, your expected results and definitely you should describe the project outline and the impact and the biography of your research. Well let's start with this and and I'm going to describe everyone into detail. Well, when I'm talking about title and keywords, this is very important. Why? Because a title and a keyword is not an easy task. A title in general should be catchy and should be precise. So these are some rules that you should follow to have a good title. It has to be a specific title, accurate, not too long, catchy, and it has to contain the main idea. I should read the title and figure out most probably what is this thesis about or what is this dissertation about. So you have to look at the title in a way and revise it and think about it and most of the time good titles start with an action verb let's say like simulation of comparison of assessment of these are all examples that you can look at and start with them your title. Once you have an action verb it shows already that you are trying to do something to cater or to address a certain problem and most of the time a researcher doing a master thesis or a PhD thesis or even a research for grant proposals he or she should look at these verbs as a starting to identify and formulate their title well once you are done with your title that's not enough you have to define next to the title keywords well you will ask what's the point I just defined the topic and I have a title now why should I use keywords well keywords are very important they should not exceed six to eight words and actually we use terminologies or we will use words that are not in the title in this sense you are helping the search engine to extend the topic so I let me let me give you an example. My topic of my research is called Dynamic Building Kit for Adaptable and Reusable Wall Solutions. That's the title. The title is talking about developing a building kit that could be adaptable, that could be assembled and disassembled for materials or building components that could be reused, okay, and specifically on walls. This is the title and I understand it like that? Well, I can add to that some keywords. These keywords can help me to describe more. I can say that I'm talking about design solutions. I'm talking specifically on post-war housing. I can add a context or a city to describe where I am, Liège in this case. I can add the keyword energy efficiency renovation like that I am extending my title and amending additional words that can help in the understanding of topic and once you do a research with these keywords the topic will pop up in the search engine much much easier so actually this is very important to define your keywords associated with your topic and in this sense they are very complementary well the next step is to move to the abstract well the abstract is one of the things you do at the end so you don't start with an abstract but let me tell you first what is an abstract an abstract simply is a text a piece of text that is not longer than 250 words and it describes simply your topic the research problem the objectives the methodology your results and the audience and the impact of your work so simply the abstract should be read by somebody in less than 3-4 minutes he or she can directly grasp the whole overview of your topic so you summarize the essence of your whole master thesis or PhD thesis in 250 words and therefore it should be really well thought well written and following this structure well let me give you an example here is a topic related to health the topic title is called the effect of exposure to natural environment on health inequalities and observational population study. As we can see those words are not exceeding 250 words, we have a background statement just two sentences, we have a methodology fully described where it has been done, what is the population, the population size, the sampling and finally we find the findings talking about this observational study results with some statistical analysis and the rates of the study that the rates of the study and finally we have to look at the final two sentences talking about interpretation in this sense this is an abstract it's compact but it's describing the whole study into a systematical approach so this is actually you do when you finish your thesis you write your abstract in order to communicate to people and actually when you publish your work on your abstract will be an open source and then after that when a researcher looking on internet they will be interested by your topic by title by keywords then when they will go through your abstract if they find the topic interesting they find interesting findings and interpretation they come up with the idea of investing in reading the whole manuscript or ordering the master thesis from another library or from another country okay so this is very important to start with after having defining the title and the keyword the third step is mainly related to the problem statement and here we are really starting the real work the serious work related to the research proposal well what is a problem statement you must start in your problem statement to contextualize your problem and you have to be concise you have to define exactly what's the what's the problem and most of the time it's good to link your background problem with authorities. So you start by saying the European Union has this objective, the national government has this objective, the region or the province or the city has these objectives. So you relate your background and the problem with political, governmental or non-governmental the United Nations, the World Health Organization, whatever authority that is stating something related to the topic. Also it's important to quantify this information and quantify the background. So it's advised here to define the problem into numbers, give some statistics, some figures related to the issue and you must also contain an overview of most relevant work. You should also try to cover others work saying in this context of this problem those stakeholders are doing that or doing that or covering this problem or addressing it from an angle or another. It's also important here to describe clearly your hypothesis that you have been done and how you are going to enter to propose the problem. Well, after describing this background and preparing the reader for the topic, you can directly now start to propose the problem and you have to show a really significant problem that is related to a a topic. So you should not make the reader get lost on the opposite. You should start to define a statement clearly and make sure that it's a societal problem in a certain context. Well this is an example. Just remember that at the end of the day a research proposal maybe in a master's thesis or a dissertation you will get funding or sometimes you don't get funding you do it work for free but at the end no one will fund a research proposal or find it reasonable as long as it's not solving a local or global problem. So my advice in writing a research proposal, make sure that your problem definition is by default solving a local or a global problem, trying to solve it in a way or another, linking to reality, linking to statistics, putting some figures, variables, and contextualizing the problem, describing it in a way that is viable, up-to-date, related to our current practice. Once you are done with that, you can start to define your aim and objectives. And you should take into account that an aim is not an objective. An aim is like a bullet. It's very important to define your aim. Once you define a good aim, you are sure that you will do a good research. So, aim well and you should hit your target cleanly. If you don't write a clear aim that is targeting a specific goal, you'll not succeed in doing your research. And simply you have to say what you want to simply and directly want to say. You have to explain what is this research going to do and who will benefit from it. I will give you some examples related to aims, but keep into account it has to be short, it has to be to the point, and it's like a bullet. you don't need to write a lot. It's the shorter the better. Well, what's the definition of an aim? An aim simply provides an answer to a general problem. So, so far we are not talking about the specific problem. This is the objective. In an aim I'm talking about the general problem. And the aim goes along with an adjective. It has to be concise. You should be aware that your grandmother can read the aim and understand it. And you should also keep in mind that it should be related to what's motivating you so this is very important and it should assist on improving the decision lead this is very important some examples of aims you can have a look lowering the dependency or the dependence on fossil fuel increasing the energy efficiency of improving the situation of increasing renovation rate dissemination knowledge sharing information general overall aims related to a serious problem and in this sense you don't need to write it more than one sentence maximum and then you are describing the topic in general in a sense in an aim that a non-technical person can understand it when I say here my aim of my research is to increase energy efficiency in the building sector this is a very broad generic aim anybody can understand and that's the purpose you should have this aim now once you define the aim you cannot be more specific and focus on the objective. But let me tell you what's the objective. The objective is more specific to your study, it's more accurate than the aim, and it's operational. So there is an action in it, you have to do something in it. In the aim, in the objective also it has to correspond to what you will try to produce and generate. So it has to be very precise in description, it has to focus on the central research question, and often contextualize it to a specific climate, context, country, region. Very important and these are some examples for objectives. So here I'm saying my objective to develop a software or a program to calculate turbulent nonlinear equation. Here the objective became very clear. Analyze the reason of low renovation rate identify barriers understand study the impact of assess compare so the objective has to be very clear very precise to the point talking about a specific aspect so in general it should be combined with the aim but let me give you an example with a good description of an aim with an objective well have a a look and read this sentence sorry just have a look I have a aim here the main aim of this research is this to disseminate technological knowledge on adaptive facade at a European level that's the overall aim very general I want to spread or share information related to a specific type of building facades in Europe and do it on a European level so this is a very broad aim and this is very successful one sentence like a bullet now how I'm going to do this aim I need to describe at least three four objectives to do this aim first of all I'm aiming to increase knowledge sharing secondly I'm looking to develop a new knowledge thirdly I'm starting new collaboration so in this sense I am precisely describing how I'm going to achieve this aim through operational tactical objectives. Another example could be interesting here, have a look at that. The project is aiming to improving building energy labeling schemes. So I would like to improve the labeling of buildings, so like you buy any food product you have a label telling what's the ingredients, I want to improve the labeling of buildings. But how I'm going to do that? These are the objectives that I'm going to do. I'm going to review different building labeling. I'm going to review different performance indicators. I will investigate possibilities for developing other labels. I will choose some case studies. I will examine the robustness of labeling schemes. I will evaluate their social acceptance. I will analyze the results. I will create a fair framework. Directly, you can see that we have here at least something around eight objectives serving one aim. So it's very important in your research proposal to keep this structure in your writing. You have an overall overarching aim with a very specific objectives that serves to achieve this aim and they as I told you it has to be operational with adjectives. Also a criteria to make sure that your objectives are well or right good written we call objective smart smart stands for specific measurable attainable realistic and time bound every reviewer reading your research proposal he or she will look at these objectives are the objectives specific are they measurable are they attainable realistic and time bound and this is very important you have to make sure that you have a pointed topic you are covering it you can measure the objective and measure what you are doing you must make sure that you can reach this objectives and that you have a realistic objective it's not a dream you have calculated the time and the effort and you can do it and definitely it should be time bound so you must put it in a frame of a deadline with a certain start and an end date once you make sure sure that your objectives are smart you can pass now and validate your topic and in this sense you can look to the topic and say I have smart objectives and you need some time to do it it's not easy to write it but you need just to take some time brainstorm your topic once you defined well the problem you can then define good the aim and from the aim you can break it down into specific objective. This is how it works. Another final advice for the aim and objective, don't forget to frame it. You need always to frame it. So these are the questions you should ask yourself at the end of writing your aim and objective. So first question, is it worth it answering your research question and the aim? What will benefit, am I going to benefit from it? Is the society, the community, the professional or the scientific community going to benefit from it? Is it specific, your aim and objective? Are they answerable? Can we answer them in this frame of thesis or dissertation? Is the topic original? Is it contribution to knowledge? Did somebody else do it or I'm really doing something new? What about the outcomes? Are they appropriate? Do they think ahead are the expected outcomes really achievable this is very important and finally you should ask yourself is this topic interesting to you there is many students who start a thesis and after a while they say I don't like this problem I don't like this topic they stop this means that you are not certain that you are motivated you are passionate and this topic is for your own personal interest is triggering you so these are some important advices to validate and to make sure that your aims and objectives are well written and this is a very fast example you can have a look for a winning proposal. This is simply an example showing the specific measurable and attainable realistic time-bound objectives. You can see here I have a precise problem. Agriculture is the backbone of Belgium's economy for example and it's central to the government development strategy but although the agricultural sector employs more than 75% of countries workforce and accounts both directly and indirectly for approximately 51% of countries Belgium's gross domestic product little is known about the scale of livestock farming livestock diversity distribution of livestock farms so here I have a problem very specific well described it's contextual there is a background on the national level I find some figures and statistics and the researcher simply wanted to say one thing we don't have information about the livestock farming in this country but instead of writing it directly he put a context he gives some numbers he put some figures he shows the importance of the topic and right after he will or she starts to write the objective. So the objective here is not a aim, he is directly talking about operational specific tasks. A team of eight researchers defining who will do that, eight researchers at the livestock research unit of Agricultural College for example at Liège University will research the types and extent of livestock farming in the country. A comprehensive report will be published and an online database and website will be created the project will be presented in its entirely four years after the start of the project at the sub-saharan agricultural summit in Botswana in November 2016 so you have here a very clear objective operational with steps following up and I can measure it it's specific it's attainable it's realistic it's time bound so this is the way how to write a good research aim and a research objective and this will be the start of your research proposal and just to remind you keep in mind that in the beginning of your search proposal you have to have a catchy and informative title the summary and the abstract leave it for the end you will not do it when you start this is after you finish write your six eight keywords that are not included in your title make sure that you have a good problem statement description with a problem related to contextual societal issues, define an overall aim and go for your operational step-by-step specific objectives. In this way if you keep this slide in mind while developing your first part of your proposal you are on the road to success. Well I'm done with the aims and objectives and I will move to the fifth component or element which is the significance and audience. It's very important in research to define why is this research important and who are the users of this research, who are the end users who should benefit from this study. Am I doing this study for myself, for fun? You should not do that in university. Even though that some people try to do explorational work, you can do it, but you should just succeed in translating your own interest into a common interest. Once you did it, you are on the track. So significance is meant the importance the importance here so you have to make sure and describe in your text what is the added value what is original about this work why is it important even if some people are not finding it important you have to defend the work and present it and write it in a way that is important something you should show that this is something never that was never did before and once you contextualize your topic you succeed to have a significance For example, if I'm talking about renovation using prefabricated units or if I'm talking about prefabricated housing. Once you open or would like to research the topic, you might get some feedback saying, yeah, but prefabricated construction, there is many countries who do it in the United States, in Canada, it's nothing new. But once you contextualize it, you can make it new. If you say studying prefabricated housing in Liège or in Wallonia or in Belgium or in the province X or in the region X or for residential housing or for a specific context, for a specific region. Once you contextualize a topic, you directly make it original. So there is many topics in your society, in our context here at Liège universities. Maybe there is advancement in Finland or in other European countries, but they are not contextualized. So you can also borrow ideas from abroad, from other researchers, and contextualizing and study how to implement them in our context here. Once you do that, your topic becomes significant and important and becomes unique because we don't have answers for that. Also, it's important that it does not mean that the question is new, but never approached like you. even some researchers they select a topic that has been selected or researched by many people before but you can show that how you will do it in a unique way how you will go through personal endeavor that looks differently to process the topic so don't be afraid and saying yeah I when you look at the depository of previous master seasons if you find somebody else before you did the same topic that you are interested in, you should not stop. Take the topic, read it well and see how you can do it different. Once you define this difference and set it as a significant, as added value, you can guarantee that your research topic is significant and important. Also, your topic should lead to added value. At the end of the day, you should add value and make sure that you have important and significance has to take into account of the principal aim. It should be at the end related to your principal aim. Some other questions you could look at. Questions have to be open in general when you describe your topic. Here you can add a list of keywords not included in the title and the motivation is linked to the context. Well, defining the significance is important. Now you defined your problem, your title, your aim, your objective, why is this topic important, how is it significant. Now comes a very important topic people forget about and I think personally you might start by that. The audience. Why are you doing this study? Who is going to benefit from this study? Who you want to reach? Define your target audience very clearly and from the beginning. The easier the target audience is described, the easier you can do your research. Many people forget that it could be politicians your target, your target could be professional community, it could be the research community, it could be managers, it could be whoever, community or stakeholders. But leaving your research proposal without defining the audience, there is no meaning. Because many people do interesting studies, but then they don't contact their audience. If I'm doing a study, for example, about the green area spaces in Liège city, so I want to know how much green area per square meter per citizen is in the city of Liège. And I did a very beautiful analysis and I went through the neighborhoods of Liège and And I then identified through my analysis how much square meter of green spaces are available for the citizens of Liège. If at the end of this study I did not contact the community or the local authority of Liège city or the province and tell them here is my work, how can you benefit from them? If I didn't go and do an interview with them, if I didn't contact them to make sure that the municipality is benefiting from the study, then I failed to connect my research to the audience. So you must always to make sure what's the research and ask yourself, what's the relation between my research topic and the audience? And did I allow the audience to intervene in my study? In this sense, I should have maybe went to the municipality and asked the urbanism sector or unit and tell them, I'm doing a study about Liège. Can you help me with this information? Is this information for you helpful? How can this information, can I modify it to meet a kind of certain requirement from your side? So it's very important to define the audience and not to define it theoretically on paper. No, you have to go engage with those people, contact them before starting your study, during your study, and after your study. You can even invite them to your defense. If you don't do this step, our research will have no impact. It will be just theoretical research hidden in research university without having any impact on society. So therefore, make sure always what is the audience of your research. Get in contact with these people. And as I told, why you have to reach those people? Because you have to consider your motives and why you feel this group should be targeted. You have to know why you want to reach a particular group. And you should provide insight that will help develop effective study. and you should say also why should they be interested in my research this is very important once you define that you can start now your research I'm moving now to the step number six but I would say that this is the first chunk of your research proposal it does not need to be more than one or two pages defining clearly from the title going to the keywords talking about your problem statement and the background defining the aim and objective the significance of your work and finally the audience once you define this one or two pages i can guarantee you that you have a good topic well defined and make sure that you revise it with your supervisor well you are now ready to embark and start your topic more clearly but you have to describe another additional component in your proposal? The state of the art or the literature review. What is the state of the art? Why do we do a research related to state of the art? Why do we review literature for a research proposal? Number one, you have to improve your own understanding. You have to understand, you have to become an expert because now you are talking about a topic, you don't know enough information about it. So you have to understand what has been done before and you have to read literature so number one why we do a literature review to improve the understanding number two you have to build your expertise in the specific domain number three you have to demonstrate knowledge and show that you understand a specific knowledge related to the topic and you have to update the reader with the state of the art because at the end of the of the end of the day the master thesis or the phd you will submit it to a jury or a reader or you will set it online and you would like the community to read it. Once they read it, they must make sure that they are up to date to the latest information related to this topic and therefore we should do a literature review. To do a good literature review, you must guarantee that you have good resources. You should look at major published work, you should look at a narrow specific topic and you should start your review. The review should cover the major concepts, snapshots relationships classifications and extractions so the literature review actually is like an essence you go through different publications different sources and you extract the most important information and you provide me with a snapshot with a pattern image describing what has been done before what are the major publication related to this topic and like that you can put me up-to-date related to the topic. Does one of the criteria that anybody would like a professor will look at a research proposal will ask does the proposal advance the state of the art? Does it introduce innovative approaches? This is very important and the more you go into this a PhD or a grant proposal the more the answer for these questions is very important. If the proposal shows it does it show a good understanding of the major work? Does it identify the gaps of existing knowledge and so on so this is very important and you should also say what is currently available in Liège in Belgium in Europe and worldwide so this is the aim of the literature review to make sure what is done also in the North America what's done in Asia to make sure that I am up-to-date related to this topic well you should also capture the major concept and ideas related to research and finally you should ask yourself how is your research you are doing compared with similar research in other contexts so you should not only describe your research topic and forget that others maybe did the same idea 90% of ideas are not new we are processing others ideas so 90% of ideas are not new So you should keep in mind, put an assumption in your mind, that maybe somebody else, someone, somewhere else, tried to address the same problem. What about looking, exploring, how did those other people do my work? So this is the aim of literature review, to make sure that I cover the literature, I am up to date, I am covering the major concepts and publications that describe the topic, and also similar studies related to my research topic. once you did that you can move to the methodology and the methodology should describe how you are going to do your research in the proposal and this could not should not be a long text it could be a couple of paragraphs or maybe maximum three paragraphs describing how we are going to do your research there is in general different methodologies you can do strategic research you can do applied research you can do experimental research and these are all examples of researchers that you can do if you like to do lab work and monitoring then it's experimental work if you would like to do applied then it's more like simulation case studies system analysis comparison analysis if you are looking to develop concepts model standards prototypes solutions you are more into strategical basic research and definitely if you are looking for developing things beyond applied research, pure basic research, a theory, an equation, a philosophy, then you are looking at basic research. So you should define clearly what is your methodology and these are all examples for different methodologies as you can see and every researcher and every specialization, every group of specialization has its own collection of methodologies they use. People in social sciences, we know that they use a lot interview and they use surveying techniques. This is their methodology they come up with. People working in engineering, for example, they go more for experimentation and so on and so forth. So you must make sure your domain, your expertise, your field of expertise, what are the common methodology. In the field of architecture or buildings in general, we use analysis research, development research, we do a lot of case studies research, evidence-based design, parametric research, optimization, also participatory or action research, operational research, post-occupancy evaluation, lab research, and system analysis research. So just you must be familiar with these types of methodology and describe them in your research proposals and now I will move to another thing which is called a method which means that like in the aims and objective there is an aim and there is an objective here there is something called methodology and method. A method is a small action of research done to achieve a methodology for example I can have a case study as a methodology but in order to achieve this methodology, I have several methods that I can do. I can do some drawings, photography, videotaping, visualization, sketching, mapping, process analysis, technology review, history review. These are all methods that I can use in my research to achieve my methodology. So it's very important in your research proposal that you define in the beginning your research methodological on this level. Is it basic research, is it strategical, is it applied, is it experimental. Then you pick up a methodology and don't hesitate, you can have several methodology in a research. You can combine evidence-based design with case studies, there is no problem at all. But once you define your methodology, you have to pick up a collection of methods. A systematic review is a method, data analysis is a method, GIS or simulation, visualizing, classification and categorization, These are all methods. So your research proposal should address these methods and simply your methodology in general should describe how are you going to approach your work. So as I said you start with a literature review and from the literature review you see what has been done by previous researchers. You have to outline the instrument, fix boundaries of diseases and we should look at different methodology, describe them well, make sure that you have qualitative and quantitative approaches for your methodology, and make sure how you will collect the information, how this information will be robust. I give you a very important example here you should keep into account. When we talk about methodology, one of the big problems we see today in research, the methodology should be replicable, which means that any independent researcher is going to do the same research you have been doing, he or she should be able to repeat the same methodology and come up with the same research. One of the problems we find today in research, very common, that researchers, they do the research without describing it well, without a clear methodology, and as a consequence, the results are fake, because they didn't have a methodology. And once you describe your methodology, keep into account that it should be replicable and repeatable by others. So this is very important. And how to present a methodology, this is how to do it. You have to come up with a study design. A study design is simply a specific plan or a protocol for conducting the study. and it allows you to investigate and translate the conceptual hypothesis into operational research. So actually in this section of methodology I should see this overview design. I'm saying that my methodology is based on quantitative and qualitative research methods. I have here case studies and so on and so forth and I here have my own other quantitative approaches and you draw it into a sort of diagram and this is another representation I have descriptive analysis I have analytical here I'm going to do a survey here I'm going to do experiment here I'm going to do a cross-sectional analysis once you think about your methodology and represented in a graph like that and describe it into a couple of paragraphs you are done with the methodology it's accessible and I have a very interesting document you can ask me for it it describes the different research methodologies in architecture. So you can go from theoretical research, interpretative research, experimental, survey, simulation, qualitative, even action research, and for each of these methodologies there are different ontological assumptions, epistemological assumptions also, methodologies, how you validate, how you have examples for each of those so this is very important very helpful you might use it and I would like to ask you to start your methodology by sketching drawing thinking about picking up some methods making sure how you will address it you have to define your method your sample your case studies what are the target users are you going to use equipment analysis this is very important and you can draw a study design scheme for that and the study design scheme like I showed you based on this analysis using this Excel or this table I provided previously. Make sure that you draw a study design scheme and integrate it in your proposal, discuss it with your supervisor, explain why it is the most appropriate to effectively answer your research question and you have also to explain what alternatives have been considered when and why these have been disregarded. So these are the golden rules for the methodology. Don't forget you have to come up with a study design scheme, describe your methodology on the level of what is the strategical level of your research, what is the methodologies you are using, what are the methods and summarize it into a scheme and present it and describe it. Well now I would like to move to the expected results even in a research proposal before doing your research you should describe your expected results this is very important and how are you going to do that it's mainly based on your literature review if you are going to read some major publication related to your topic you can be able to expect what will be the results of your work you may fragment you may grab fragments from other studies but you can predict possible outcomes and that's all what you are expected to report in this sense. You have to be based on the literature review, linked to the aims and objectives, explain what you will be producing, something concrete, evidence-based with numbers, you have to define how is it going to be usable, is it some rules of thumb, is it findings, is it guidelines, is it advice, is it a strategy, what it is and for example you can say I'm going to come up with a prototype, with a design concept, with a solution. These are all important to define in the expected results. So it's not here meant that you will say exactly what will come out from the study but you will define what parameters, what outcomes you are looking at and these are examples of outcomes you must keep into account that you answer this question very important in your research proposal because if you are just putting facts they are called data if you are classifying them they can become information they will become only knowledge if you are adding an analysis and interpretation kind of working the information into a useful information and once you have knowledge you can help in decisions and actually that's the cycle of knowledge so your thesis is mainly looking to collect the data and information and process them to generate knowledge so that this knowledge can help the community and the decision makers to take decision and become more informed, more knowledgeable. Well, what could be examples of outcomes? This is a series of outcomes. It could be a product, rules of thumb, guidelines, a manual, a website, an application, even an app. Don't hesitate to develop an app for your master's thesis. This could be interesting, a map, a tool, a website, a program, a book, an infographic, a cartographic guide, equation, model, benchmark, simulation, a checklist, sometimes some students come up with their master outcome, a checklist, a policy, a strategy, a theory. You must be sure that you come up with a concrete outcome that you will present at the end of your thesis and you link this outcome to the audience as described previously. So this is very important and to validate that you have good expected result describe how the work will be validated. You must make sure that your outcomes and what you are going to present will be compared with results published and other works. Are you going to use a user group or a case study to test this outcome because it's not enough to tell me I will come up with a map or a tool and then it was not used by anyone or it was not tested by anyone. Make sure that you have a validation process and in the validation process you have some groups or users who make sure that your outcome that you use was developed for them in a useful way and you should look for internal and external validity of your result. If this research is repeated by someone else, would they get the same results you did or not? Is your work accurate enough? Do you have a systematic approach? Can the result be generalized in another similar context? These are interesting discussion questions that you can use to develop your final conclusion later in the thesis, but also you could address them in your proposal writing to make sure that you are not only looking to produce an information and through it without making sure that it works that it function that will have an effect and impact well by that I am approaching almost the end now you are described you have described those major topics from the keywords until the research results and outcomes now it's time to talk about outline and talk in the language of professional language professional language this is not a research topic this is more related to professionalism and any institution should talk about it. Once you go through any professional document you must develop an organizational chart. Organizational chart it's a chart that tells me what are the parts and the component of your research or your research thesis. In this sense you should have a description of your chapters maybe you can put your chapters you can put the topics you are talking about and it should represent your work and it should predict the possible progress of your work. So here I'm drawing all the component of my research in one diagram. In French we call it Organigramme, in English it's called the organizational chart and any research proposal must include an organizational chart to describe the components of the work and the main work packages that you will do and in every work packages I have associated activities. This is very important to clarify the topic. I have many master students, they come up at the end of their master thesis and they are not able even to write a structure or a table of content of their own thesis. Why? Because they didn't do an organizational chart. Once you do it early enough, you know that you will start with an introduction chapter, you will have something about a methodology, what are your case studies, your results, what would be the validation part, what would be your conclusion part, the discussion. So therefore it's very important it's also important to be added you can add it in the annex of your research proposal don't hesitate to do that and you should do use it also to discuss with your supervisor in the beginning how are you going to proceed with your master's thesis or your PhD dissertation very important to include it another important organizational chart related to the professional work the Gantt chart. Any master student graduating from Liège University he or she must know what is a Gantt chart because without that you are not going to be able to process tasks on long term. A Gantt chart is a professional diagram it is a methodology used to define milestones and work packages and activities and in this sense you describe your work in sufficient details and you set up deliverables, steps, deadlines. Very important. More detail than the organizational chart. So if you look at the organization chart, it's mainly chunky. It's looking at big scale component of your research. While here you are going more into detail and it's very important to be also placed in the annex of your research proposal. As you can see, here's a list of activities. Here is the master thesis. It takes an average in Liège four months I can define every month in two weeks and define with these dark bars when I'm going to do the literature review, the interviews, the case study analysis, the simulation work, when I'm going to start to write my thesis. Very important to do that as early as possible to make sure that you go psychologically through the process of your thesis writing. Because if you leave everything till the end you will be improvising and improvising you can never become professional with improvisation as long you have a lot of time and in fact you don't have time you must try your thesis to graduate so this is the best way to do it as early as possible and try to explore previous master's thesis of older students who graduated and see how they did it to make sure that what could be the tasks and activities that you must come up and how much time they will take Some people would say, I will do a literature review in two months. In reality, it might need three months. Maybe it will need eight weeks. You never know. Six weeks. You never know. So it's very important to have this translation into deliverable steps and time. And it's very important once you finish this, that you have a section in your research proposal called project outline. The project outline. You link it to the organizational chart and you link it to your Gantt chart and your proposal must describe where are you going to start. You say when are you going to start, what steps are you going to do and where are you heading to, where will you get to, how you will get there. Very important. If you don't do this in the project outline, the certainty that you will do successful work is very weak. So make sure that you have defined the step of your research, you say where are you starting, describe what's the problem, the literature view where are you heading and make sure that you will describe that accurately and what are the final aim to go for well the last step that you should look at before leaving that I have just forgot to say that you should describe every milestone into activity description and evidence of progress the last thing you should look at is the impact and biography this This is the last part of your proposal and the last element that you should address in your proposal. And first I will start with the impact. It's very important to identify, does the proposal clarify clearly how it is relevant and realistic on the short-term and long-term. By definition, impact is the effect or influence on short-term to long-term scientific, technological or socio-economical changes produced by a research, directly or indirectly, intended or unintended. And you should ask yourself, are the impacts identified by the proposal relevant to the society at large? Can the impact be listed and realistically achieved? And let me give some examples. The impact should be able to be explained. is different from the objective and it's the only way to do an impact is to publish your work because if I'm going to spend maybe six months of my life on a manuscript for a thesis or maybe four years for my PhD work if this document is going to be in the depository of the library of Liège University no one on earth will access it even it's not on Google so forget about it the only way make sure that your work has an impact and other researchers and other professionals and the society in large is going to access it, read it, benefit from it is to publish the work and study or look at the impact of your work. Here is an example of a work I will read you I will read you this very fast energy certification labels increases the awareness of energy consumption and enables consumers to compare buildings therefore providing builders with an incentive to improve energy efficiency in buildings? Improving energy efficiency in buildings is one of the most cost-effective ways across all sectors to reduce energy consumption and hence green gas house emissions. Energy efficiency is the most cost-effective method to improve energy security. From the household perspective, energy efficiency seems to be profitable. you are telling how energy efficiency or the labels are you how is this impact of this topic energy efficient lighting and appliances can save about 465 euro per year per household in energy bills much more savings can be easily insured when the whole building is energy efficient the energy efficiency of buildings can only be guaranteed by creditable building energy label so here you are describing what is the impact of your research you are saying that while studying the labeling of buildings already I can promise to have a cost-effective savings and I can guarantee a security and independence from fossil fuels and you try to quantify it with some example saying that for example a building that has energy label a for example can save up to 465 euro per year so we give an example so this is a very important aspect that you should include what would be the impact of your study and this is difficult you have to brainstorm you have to think if I come up with my research and I publish it could it be useful examples for dissemination activities also to spread dissemination means spreading your research findings is there a clear or attainable plan for dissemination for results this is a question. Is the dissemination plan targeted, clear and attainable? Is it relevant and you have a clear exploitation of the results? These are all important topics and you can disseminate your work by publishing it, by having internal seminars, regular reporting, publication, conferences, exhibition or reaching out communicating with the community. If you go to an NGO and tell them I would like to present my master's thesis to you, I would like to share with you my document. These are all important activities you must guarantee to make sure that you are disseminating your knowledge. In a PhD it's very important to do a lot of effort to disseminate the information. In a master thesis it would be enough to publish in a conference or publish in a journal, your results, and this is the only way to validate and make sure that your information now is available to the public, it's accessible, and it could be shared and become beneficial to the society. Last part is the biography. In your research proposal, you should include a bibliographical sector. You should have references cited in a specific format. In my lab, I prefer the APA standard, and I have a presentation on that. But you should make sure that many reviewers, they go at the end of your research proposal and read the biography. And based on the quality of biography they find, they start to say this is a good research or not. This means that the more you are describing the key publication-related topic, it means that you did your homework, you read, and you should pay attention how you write it, because there are rules in citation. You should write, for example, the family name, and then the year, and then the title, and then the city, and so on. There are different styles. Make sure that you are using the right style. You just ask your supervisor for that. You can show your motivation on the subject also based on that. Use a reference management system. There are many softwares. Previously, there was a software called EndNote. Today, the most commonly used is Zotero, and I advise you to use Zotero. Well, I'm going to the end. This is it. This is the research proposal. It sounds maybe dense, very informative, but keep in mind that a research proposal does not need to be more than five, six pages. Sometimes the research proposal, a large European project, can be something like 25 pages. I'm talking about funding of millions. So in your case, all you need to have five pages, six pages, describing and covering these issues and just start to write and go through it I give you some golden final tips structure your text make sure you have headings address every topic into a heading structure section and write under it write short sentences this is a very important thing many I figured out that in the French speaking word many students seems to write long sentences chop your sentence keep it short and follow your ideas and don't make it complex just write you can write down first in a sketch what ideas you want to communicate and start to make them short sentences in a row use bullets bullets are very important because readers get bored when they find a full block of text try to make bullets to highlight important topics provide images charts i already told you that you need a gun chart an organizational chart a study research design for the methodology try as maximum to have a kind of visual component don't make it exceed 30 40 percent of the proposal so that the proposal is readable and accessible and the keys are access to success are important that you should assure that all relevant chapters of the proposal have been addressed accurately the ten themes that I described are addressed in detail be brief and concise as possible you should support your information with empirical and proof try to have always statistics numbers references to cite your work right don't hesitate don't leave it till the end if you have time write a part of the proposal later on write another part so just keep writing it's very easy it's not a difficult thing it's just that you have to get used to answer these kind of questions and do it and improvise it ask for peers you can send it to colleagues to a teaching assistant to your supervisor don't hesitate to do that to review the proposal and improve it you can make draft 1 draft 2 until you are satisfied and willing to submit it you can get expert help you can talk to the audience people you can talk to somebody who knows about the problem go consult a professor or any person who is professional you should be well organized synthesized and don't forget that we are looking for a master student a master student who has a critical appraisal who can criticize who can build up a case with new information and this is very important by describing any controversies that you find in the objectives include the evidence as possible whether it's against or with your proposition these are the key rules of success I would like to go back just to remind you that this is very important to respect this structure cover it go step by step until you have a good proposal one thing I can promise you if you developed and invested as much as possible time in writing your research proposal your master thesis process will go as smooth as possible because you thought ahead about what you are going to do so instead of going reactive and just reacting on everyday crisis the simulation is not working the interviews is not doing you have here something that protects you it makes you more certain stable and you see what are you going to do and already you are certain that you can achieve the goal easier so this is very important I would like to thank you for your presentation here are my reference and those don't hesitate to contact me I'm looking forward for your proposals thank you very much

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• Alison Huffstetler 1 ,
• http://orcid.org/0000-0002-3568-4452 Kenneth W Lin 2 ,
• Russell P Harris 3 , 4
• 1 Robert Graham Center for Primary Care Policy Studies , Washington , District of Columbia , USA
• 2 Family Medicine Residency Program , Lancaster General Hospital , Lancaster , Pennsylvania , USA
• 3 Cecil G. Sheps Center for Health Services Research , University of North Carolina, Chapel Hill , Chapel Hill , North Carolina , USA
• 4 Division of General Medicine and Clinical Epidemiology , University of North Carolina, Chapel Hill , Chapel Hill , North Carolina , USA
• Correspondence to Dr Kenneth W Lin; kenneth.lin{at}georgetown.edu

https://doi.org/10.1136/bmjebm-2024-113025

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• PREVENTIVE MEDICINE
• INTERNAL MEDICINE

The increasing use of statistical modelling and lower certainty evidence to expand screening and the aggressive marketing of multicancer early detection tests raises questions about evidence thresholds for updating existing screening recommendations.

Since 2018, five of the updated cancer screening recommendations of the US Preventive Services Task Force (USPSTF) have included statistical models (breast, colorectal, lung, cervical and prostate). All five have recommended more intensive screening than the earlier recommendation, either by recommending newer screening technologies or expanding the population eligible for screening. For example, the 2021 colorectal cancer screening recommendation lowered the starting age from 50 to 45 years based on a microsimulation model of hypothetical patient panels. 1 2 The models for updating recommendations for all of these cancers relied heavily on either intermediate outcomes or performance characteristics of the screening test. Several blood-based cancer screening tests for multiple cancers are being developed and promoted without randomised controlled trials with health outcomes. 3 Soon, evidence-based organisations will be faced with proposals for further intensification of screening using these new technologies.

Recommendations of new screening strategies from evidence-based organisations such as the USPSTF, the Canadian Task Force on Preventive Health Care (CTFPHC) and the International Agency for Research on Cancer (IARC) are based on several factors, but especially evaluation of complex bodies of research, using methods that specify a high threshold for evidence of sufficient certainty to estimate net benefit (the balance between desirable and undesirable effects in the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision framework). 4 This high evidence threshold often includes the requirement for randomised controlled trials (RCTs) and/or consistent evidence from several high-quality studies with alternative designs to reach the degree of certainty of outcome effects to allow recommendation panels to assess net benefit before making a recommendation that incorporates patient …

X @AHuffstetler, @kennylinafp

Contributors RPH is a former member of the US Preventive Services Task Force and has coauthored several papers describing its methods. KWL is a former medical officer for the US Preventive Services Task Force programme at the US Agency for Healthcare Research and Quality and coauthored systematic reviews to support previous recommendation updates. RPH conceived the article. AH completed the first draft of the article. All authors participated in revising subsequent drafts. KWL is the guarantor.

Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests None declared.

Provenance and peer review Not commissioned; externally peer reviewed.

Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

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Innovation Responds to Climate Change Proposals

• Original Paper
• Published: 02 September 2024

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• Greg Tindall 1 ,
• Rebel A. Cole 2 &
• David Javakhadze   ORCID: orcid.org/0000-0003-1580-6309 3  

Climate change is an ethical and moral challenge of a global scale due to its potentially catastrophic implications for human welfare. Understanding forces that drive corporate adaptation to climate change is an important research topic in business ethics. In this paper, we propose that shareholder climate-related proposals could be a catalyst for corporate innovations in technologies mitigating climate change. Our results, based on the analysis of US firms, indicate that corporations respond positively to these proposals by producing more climate-related patents and citations. We also uncover potential casual channels of influence. Further, we find that corporate governance moderates the documented effects. These proposals lead to a more efficient and valuable innovation output, but lower firm performance in the short term. The real effect that shareholder proposals have on innovation gains clarity in the context of climate change, contributing to the discussion of investor “voice.”

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The data that has been used is confidential, from restricted-access sources.

Xiao and Shailer ( 2022 ) provide a novel systematic investigation of factors influencing stakeholders’ perceptions of the credibility of corporate sustainability reports.

What are shareholder proposals, and what makes them interesting? Established in 1942 (and amended several times), Rule 14a-8 was designed to give small shareholders a voice and managers ample opportunity to listen before being heard at annual meetings. The Rule now permits a shareholder to make a proposal of 500 words or less, if any of the following ownership amount and time requirements are met: 1) at least $2,000 in market value for at least three years; 2) or at least $15,000 for at least two years; 3) or at least $25,000 for at least one year. The proposal must be received at the company’s principal executive offices not less than 120 calendar days before the release of company's annual proxy statement, with shareholder intent to maintain the requisite interest through the annual meeting. For more formation, please see the Code of Federal Regulations, (Title 17, Volume 3, Sect. 240.14a-8, www.govinfo.gov ).

Theoretical perspectives on management’s response to stakeholder demands are influenced by corporate purpose.

Literature presents opposing views: Friedman’s ( 1970 ) profit-focused shareholder priority versus Stout’s ( 2013 )

inclusive stakeholder approach considering broader goals. See discussion on the subject in Clarke ( 2020 ).

The climate-related proposals to Chevron reflect this shift in emphasis toward a direct assessment of financial risk, from one of simple emission disclosure. From 1999 to 2009, requests for a “Report on Greenhouse Gas Emissions” were recurrent. Beginning in 2010, Chevron saw “Stockholder Proposals Regarding Financial Risks from Climate Change.”

Two examples from the 2016 proxy season highlight shareholder demands for innovation. Shareholders of Ameren Corp proposed “ITEM (4): SHAREHOLDER PROPOSAL RELATING TO A REPORT ON AGGRESSIVE RENEWABLE ENERGY ADOPTION.” Shareholders in AES Corp sponsored “PROPOSAL 4: A REPORT ON COMPANY POLICIES AND TECHNOLOGICAL ADVANCES” targeting the firm’s energy policies and emphasis on renewable sources.

In 2010, St. Joseph of the Capuchin Order requested a study “on how ExxonMobil, within a reasonable timeframe, can become the recognized industry leader in developing and making available the necessary technology (such as enhanced sequestration, engineered geothermal and the development of other renewable energy sources) to enable the U.S.A. to become energy independent in an environmentally sustainable way. By 2017, The New York State Common Retirement Fund sponsored the climate proposal that gained substantial press coverage, which essentially made a similar request: “…an annual assessment of the long-term portfolio impacts of technological advances and global climate change policies…” Further, the Board for Fluor Corporation has stated its opposition to repeated proposals from 2016 to 2018 requesting GHG reduction goals, by “Creating Technology to Reduce Greenhouse Gas Emissions,” more specifically, by investing in NuScale Power, LLC along with Rolls-Royce.

We emphasize that climate-friendly boards and heightened managerial perceptions of climate risk are potential mechanisms. We argue that shareholder proposals positively influence these factors. However, we acknowledge without direct demonstration that these mechanisms, in turn, enhance innovations, considering them as established facts based on prior research (Homroy and Slechten, 2019 ; Sautner et al., 2023 ).

We considered using alternate terms such as “greenhouse gases” or “carbon emissions,” but due to the content of the DEF14A filing, it is not possible to ensure that a term appears directly within a shareholder proposal or management’s response to one without visual inspection, thus hand-collection. Often, the proposals are only a small portion of the DEF14A which often presents year-end results at the annual meeting. Further, word lists invariably subject samples to gaming. “Climate Change” has fairly unambiguous meaning to management and is the phrase used by both the SEC and USPTO.

We also consider that firm innovation may not have a perfect memory of a pressure over the past 25 years of all proposals related to climate change. For robustness, we construct the same three-year, backward average but for only the last three years as well as the last five years. The results that follow remain unchanged. We also use lagged proposals as a proxy for shareholder pressure on climate-related issues for additional robustness, and our main findings are qualitatively similar. These results are not reported for brevity but are presented in online Appendix 1 .

In fact, of the 1.9 million patents we examine from 1994 to 2019, only 8 begin with the Y02 classification, even though 105,737 patents contain the Y02 classification in the CPC coding scheme. For example, patent 5,426,677 appears to be primarily concerned with Physics, the G classification, (G21C1/09; G21C17/00; G21Y2002/202; G21Y2002/204; G21Y2004/304; Y02E30/40), but also has a Climate Mitigation (Y02) component. Disentangling truncation bias by year-technology for the Y02 classification is not feasible for this paper. Further, from our discussions with the USPTO, the first classification tends to be more dominant than the last.

In unreported results, we also construct dependent variables looking forward five years to allow more time for the stockholder pressure to influence innovative behavior.

As Wooldridge ( 2012 ) explains, “sometimes log(1 + y) is used, but interpretation of the coefficients is difficult.” (p. 216) However, this practice is commonplace in corporate finance settings. For robustness, the inverse hyperbolic sine (IHS), as suggested by Burbidge et al. ( 1988 ) and proposed by Johnson ( 1949 ), for zero-value observations is used to log transform both the logged dependent variables and the independent variable of interest, Pressure . The IHS transformation is sinh-1(x) = log(x + (× 2 + 1)1/2). The results using IHS for OLS regressions suggest that the coefficients tend to overstate the economic impact of models (3) and (6) of Table  2 as well as models with Y02 Counts pct and Y02 Cites pct as dependent variables, while understate the coefficients of models with Y02 Top 1 pct and Y02 Top 10 pct as dependent variables (Appendix B ), but the statistical inference remains unchanged in sign or significance.

The Pope’s sentiment also intuitively satisfies the exclusion restriction as it is unlikely to directly influence corporate innovations. To gain some reassurance on the (notorious) exclusion restriction, we divide the sample along the lines of Religious Social Capital considered by Rupasingha et al. ( 2006 ) and obtained from the U.S. Census Bureau’s number of establishments in religious organizations (NAICS 813110), also examined by Grennan ( 2022 ) along with other donor-advised funds. In splitting the sample between More and Less Religious at the county level, we find that firms headquartered in less religious counties have a more acute influence on climate innovations when the Pope serves as an instrument. We would expect the Pope to have a stronger influence in more religious counties, if the Pope were directly influencing management to develop climate technologies and bypassing proposals made by shareholders who are not concentrated near headquarters. Since we find the opposite, we feel better about the exclusion restriction, instead of relying only on our (notorious) intuitions for justification.

We implement causal mediation analysis using the ivmediate command in Stata (e.g., Dippel, Ferrara, and Heblich, 2020 ), allowing us to estimate the treatment effect and determine the proportion attributable to a mediator. The primary advantage, as noted, is that despite both the treatment and mediator being endogenous, a single instrument can accurately detect both causal treatment and mediation effects. However, the method does not produce the first-stage result of the IV regression. Instead, it reports the F-test of excluded instruments directly from the first stage to assess instrument strength, which suffices to establish validity. In our models, detailed in Table  4 , the F-tests from the first stage across all models greatly exceed the conventional cutoff value of 10, ensuring the validity of the instrument. Nevertheless, we manually performed IV regressions and confirmed that our instrument, PopeUS, significantly and positively affects both Pressure and mediators.

In the results, not tabulated for brevity, we re-estimate the same model as in Panel A but with firm fixed effects. We find significant causal mediation effects of Pressure on Y02 Counts that pass through Ind Dir Exp. In parallel to Panel B, we re-estimated the same model with firm fixed effects using CC Bigrams as a mediator and found nearly full mediation. Additionally, we detected marginal mediation in the model with Y02 Cites as a dependent variable using CC Bigrams as a mediator, but not Ind Dir Exp. Thus, the results of firm fixed effects analysis are more suggestive in this case.

We also perform robustness checks of our mediation analysis using alternative measures of shareholder proposals (three-year backward averages for the last three and five years, and lagged proposals). We find statistically significant mediation in all cases, with the mediated effect ranging from 0.54 to 0.91 of the total effect. We also limit the sample to firms that have ever received a proposal related to climate change during our sample period and find the proportion of the total effect mediated varies from 0.62 to 0.74 of the total effect. Finally, using the percentage of votes at the annual meetings in favor of a climate-related proposal collected by ISS (ISS Vote For), the mediated effect ranges from 0.83 to 0.90 of the total effect. We estimate these models using industry fixed effects, with industries identified using 3-digit SIC codes. Overall, our results are in line with our main findings.

To ensure our results are not due to selection of matching estimator, we also employ entropy balancing, nearest neighbor, propensity score, and the CEM (Blackwell et al., 2009 ) and find our results to be robust. The main advantage of EBCT, of course, is that it allows us to match on our continuous treatment variable ( Pressure ), instead of a binary one required for the other estimators.

We note that, following the approach of Faleye et al., ( 2014 ), we also examined the short-term performance implications of the change in patent counts attributable to shareholder climate-related proposals. That is, we regress our performance metrics on predicted patent counts as well as patent cites, where the predicted values are from the regression of innovation variables in our shareholder proposal measures. Our findings remain consistent.

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Appendix a: description of variables and sources.

Appendix B: Shareholder Climate-Related Proposals and Corporate Innovations—Alternative Models

This table shows the results of ordinary least square regressions with Innovation as the dependent variable based on the patent data by date filed with the US Patent Office containing the Y02 (climate change). In Columns (1)–(4), dependent variables are Y02 Count Pct —the percent of a firm’s Y02 patents in a given year relative to all of that firm’s patents filed in the same year, Y02 Cite Pct —the percent of a firm’s Y02 patent citations in a given year relative to all of that firm’s patent citations filed in the same year, Y02 Top 1—the natural log of one plus the number of Y02 patents whose citations were in the top 1 percent of all Y02 patents in a given year, Y02 Top 10 —the natural log of one plus the number of Y02 patents whose citations were in the top 10 percent of all Y02 patents in a given year, respectively. Pressure is the natural log of one plus a three-year, backward average of an accumulated total of the climate-related shareholder proposals that a firm has received from 1994 to 2019. The control variables are also averaged over three years and include Size, R&D, Tobin’s Q, Age, Revenue Growth, Stock Returns, Leverage and Cash Surplus, as defined in Appendix A. t-statistic, based on robust standard errors, adjusted for heteroskedasticity and clustered at the industry-year level, are reported in brackets below the coefficients. ***, **, and * indicate significance at the 1%, 5%, and 10% level, respectively

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Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023

• Xianru Shang   ORCID: orcid.org/0009-0000-8906-3216 1 ,
• Zijian Liu 1 ,
• Chen Gong 1 ,
• Zhigang Hu 1 ,
• Yuexuan Wu 1 &
• Chengliang Wang   ORCID: orcid.org/0000-0003-2208-3508 2  

Humanities and Social Sciences Communications volume  11 , Article number:  1115 ( 2024 ) Cite this article

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• Science, technology and society

The rapid expansion of information technology and the intensification of population aging are two prominent features of contemporary societal development. Investigating older adults’ acceptance and use of technology is key to facilitating their integration into an information-driven society. Given this context, the technology acceptance of older adults has emerged as a prioritized research topic, attracting widespread attention in the academic community. However, existing research remains fragmented and lacks a systematic framework. To address this gap, we employed bibliometric methods, utilizing the Web of Science Core Collection to conduct a comprehensive review of literature on older adults’ technology acceptance from 2013 to 2023. Utilizing VOSviewer and CiteSpace for data assessment and visualization, we created knowledge mappings of research on older adults’ technology acceptance. Our study employed multidimensional methods such as co-occurrence analysis, clustering, and burst analysis to: (1) reveal research dynamics, key journals, and domains in this field; (2) identify leading countries, their collaborative networks, and core research institutions and authors; (3) recognize the foundational knowledge system centered on theoretical model deepening, emerging technology applications, and research methods and evaluation, uncovering seminal literature and observing a shift from early theoretical and influential factor analyses to empirical studies focusing on individual factors and emerging technologies; (4) moreover, current research hotspots are primarily in the areas of factors influencing technology adoption, human-robot interaction experiences, mobile health management, and aging-in-place technology, highlighting the evolutionary context and quality distribution of research themes. Finally, we recommend that future research should deeply explore improvements in theoretical models, long-term usage, and user experience evaluation. Overall, this study presents a clear framework of existing research in the field of older adults’ technology acceptance, providing an important reference for future theoretical exploration and innovative applications.

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Introduction.

In contemporary society, the rapid development of information technology has been intricately intertwined with the intensifying trend of population aging. According to the latest United Nations forecast, by 2050, the global population aged 65 and above is expected to reach 1.6 billion, representing about 16% of the total global population (UN 2023 ). Given the significant challenges of global aging, there is increasing evidence that emerging technologies have significant potential to maintain health and independence for older adults in their home and healthcare environments (Barnard et al. 2013 ; Soar 2010 ; Vancea and Solé-Casals 2016 ). This includes, but is not limited to, enhancing residential safety with smart home technologies (Touqeer et al. 2021 ; Wang et al. 2022 ), improving living independence through wearable technologies (Perez et al. 2023 ), and increasing medical accessibility via telehealth services (Kruse et al. 2020 ). Technological innovations are redefining the lifestyles of older adults, encouraging a shift from passive to active participation (González et al. 2012 ; Mostaghel 2016 ). Nevertheless, the effective application and dissemination of technology still depends on user acceptance and usage intentions (Naseri et al. 2023 ; Wang et al. 2023a ; Xia et al. 2024 ; Yu et al. 2023 ). Particularly, older adults face numerous challenges in accepting and using new technologies. These challenges include not only physical and cognitive limitations but also a lack of technological experience, along with the influences of social and economic factors (Valk et al. 2018 ; Wilson et al. 2021 ).

User acceptance of technology is a significant focus within information systems (IS) research (Dai et al. 2024 ), with several models developed to explain and predict user behavior towards technology usage, including the Technology Acceptance Model (TAM) (Davis 1989 ), TAM2, TAM3, and the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al. 2003 ). Older adults, as a group with unique needs, exhibit different behavioral patterns during technology acceptance than other user groups, and these uniquenesses include changes in cognitive abilities, as well as motivations, attitudes, and perceptions of the use of new technologies (Chen and Chan 2011 ). The continual expansion of technology introduces considerable challenges for older adults, rendering the understanding of their technology acceptance a research priority. Thus, conducting in-depth research into older adults’ acceptance of technology is critically important for enhancing their integration into the information society and improving their quality of life through technological advancements.

Reviewing relevant literature to identify research gaps helps further solidify the theoretical foundation of the research topic. However, many existing literature reviews primarily focus on the factors influencing older adults’ acceptance or intentions to use technology. For instance, Ma et al. ( 2021 ) conducted a comprehensive analysis of the determinants of older adults’ behavioral intentions to use technology; Liu et al. ( 2022 ) categorized key variables in studies of older adults’ technology acceptance, noting a shift in focus towards social and emotional factors; Yap et al. ( 2022 ) identified seven categories of antecedents affecting older adults’ use of technology from an analysis of 26 articles, including technological, psychological, social, personal, cost, behavioral, and environmental factors; Schroeder et al. ( 2023 ) extracted 119 influencing factors from 59 articles and further categorized these into six themes covering demographics, health status, and emotional awareness. Additionally, some studies focus on the application of specific technologies, such as Ferguson et al. ( 2021 ), who explored barriers and facilitators to older adults using wearable devices for heart monitoring, and He et al. ( 2022 ) and Baer et al. ( 2022 ), who each conducted in-depth investigations into the acceptance of social assistive robots and mobile nutrition and fitness apps, respectively. In summary, current literature reviews on older adults’ technology acceptance exhibit certain limitations. Due to the interdisciplinary nature and complex knowledge structure of this field, traditional literature reviews often rely on qualitative analysis, based on literature analysis and periodic summaries, which lack sufficient objectivity and comprehensiveness. Additionally, systematic research is relatively limited, lacking a macroscopic description of the research trajectory from a holistic perspective. Over the past decade, research on older adults’ technology acceptance has experienced rapid growth, with a significant increase in literature, necessitating the adoption of new methods to review and examine the developmental trends in this field (Chen 2006 ; Van Eck and Waltman 2010 ). Bibliometric analysis, as an effective quantitative research method, analyzes published literature through visualization, offering a viable approach to extracting patterns and insights from a large volume of papers, and has been widely applied in numerous scientific research fields (Achuthan et al. 2023 ; Liu and Duffy 2023 ). Therefore, this study will employ bibliometric methods to systematically analyze research articles related to older adults’ technology acceptance published in the Web of Science Core Collection from 2013 to 2023, aiming to understand the core issues and evolutionary trends in the field, and to provide valuable references for future related research. Specifically, this study aims to explore and answer the following questions:

RQ1: What are the research dynamics in the field of older adults’ technology acceptance over the past decade? What are the main academic journals and fields that publish studies related to older adults’ technology acceptance?

RQ2: How is the productivity in older adults’ technology acceptance research distributed among countries, institutions, and authors?

RQ3: What are the knowledge base and seminal literature in older adults’ technology acceptance research? How has the research theme progressed?

RQ4: What are the current hot topics and their evolutionary trajectories in older adults’ technology acceptance research? How is the quality of research distributed?

Methodology and materials

Research method.

In recent years, bibliometrics has become one of the crucial methods for analyzing literature reviews and is widely used in disciplinary and industrial intelligence analysis (Jing et al. 2023 ; Lin and Yu 2024a ; Wang et al. 2024a ; Xu et al. 2021 ). Bibliometric software facilitates the visualization analysis of extensive literature data, intuitively displaying the network relationships and evolutionary processes between knowledge units, and revealing the underlying knowledge structure and potential information (Chen et al. 2024 ; López-Robles et al. 2018 ; Wang et al. 2024c ). This method provides new insights into the current status and trends of specific research areas, along with quantitative evidence, thereby enhancing the objectivity and scientific validity of the research conclusions (Chen et al. 2023 ; Geng et al. 2024 ). VOSviewer and CiteSpace are two widely used bibliometric software tools in academia (Pan et al. 2018 ), recognized for their robust functionalities based on the JAVA platform. Although each has its unique features, combining these two software tools effectively constructs mapping relationships between literature knowledge units and clearly displays the macrostructure of the knowledge domains. Particularly, VOSviewer, with its excellent graphical representation capabilities, serves as an ideal tool for handling large datasets and precisely identifying the focal points and hotspots of research topics. Therefore, this study utilizes VOSviewer (version 1.6.19) and CiteSpace (version 6.1.R6), combined with in-depth literature analysis, to comprehensively examine and interpret the research theme of older adults’ technology acceptance through an integrated application of quantitative and qualitative methods.

Data source

Web of Science is a comprehensively recognized database in academia, featuring literature that has undergone rigorous peer review and editorial scrutiny (Lin and Yu 2024b ; Mongeon and Paul-Hus 2016 ; Pranckutė 2021 ). This study utilizes the Web of Science Core Collection as its data source, specifically including three major citation indices: Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), and Arts & Humanities Citation Index (A&HCI). These indices encompass high-quality research literature in the fields of science, social sciences, and arts and humanities, ensuring the comprehensiveness and reliability of the data. We combined “older adults” with “technology acceptance” through thematic search, with the specific search strategy being: TS = (elder OR elderly OR aging OR ageing OR senile OR senior OR old people OR “older adult*”) AND TS = (“technology acceptance” OR “user acceptance” OR “consumer acceptance”). The time span of literature search is from 2013 to 2023, with the types limited to “Article” and “Review” and the language to “English”. Additionally, the search was completed by October 27, 2023, to avoid data discrepancies caused by database updates. The initial search yielded 764 journal articles. Given that searches often retrieve articles that are superficially relevant but actually non-compliant, manual screening post-search was essential to ensure the relevance of the literature (Chen et al. 2024 ). Through manual screening, articles significantly deviating from the research theme were eliminated and rigorously reviewed. Ultimately, this study obtained 500 valid sample articles from the Web of Science Core Collection. The complete PRISMA screening process is illustrated in Fig. 1 .

Presentation of the data culling process in detail.

Data standardization

Raw data exported from databases often contain multiple expressions of the same terminology (Nguyen and Hallinger 2020 ). To ensure the accuracy and consistency of data, it is necessary to standardize the raw data (Strotmann and Zhao 2012 ). This study follows the data standardization process proposed by Taskin and Al ( 2019 ), mainly executing the following operations:

(1) Standardization of author and institution names is conducted to address different name expressions for the same author. For instance, “Chan, Alan Hoi Shou” and “Chan, Alan H. S.” are considered the same author, and distinct authors with the same name are differentiated by adding identifiers. Diverse forms of institutional names are unified to address variations caused by name changes or abbreviations, such as standardizing “FRANKFURT UNIV APPL SCI” and “Frankfurt University of Applied Sciences,” as well as “Chinese University of Hong Kong” and “University of Hong Kong” to consistent names.

(2) Different expressions of journal names are unified. For example, “International Journal of Human-Computer Interaction” and “Int J Hum Comput Interact” are standardized to a single name. This ensures consistency in journal names and prevents misclassification of literature due to differing journal names. Additionally, it involves checking if the journals have undergone name changes in the past decade to prevent any impact on the analysis due to such changes.

(3) Keywords data are cleansed by removing words that do not directly pertain to specific research content (e.g., people, review), merging synonyms (e.g., “UX” and “User Experience,” “aging-in-place” and “aging in place”), and standardizing plural forms of keywords (e.g., “assistive technologies” and “assistive technology,” “social robots” and “social robot”). This reduces redundant information in knowledge mapping.

Bibliometric results and analysis

Distribution power (rq1), literature descriptive statistical analysis.

Table 1 presents a detailed descriptive statistical overview of the literature in the field of older adults’ technology acceptance. After deduplication using the CiteSpace software, this study confirmed a valid sample size of 500 articles. Authored by 1839 researchers, the documents encompass 792 research institutions across 54 countries and are published in 217 different academic journals. As of the search cutoff date, these articles have accumulated 13,829 citations, with an annual average of 1156 citations, and an average of 27.66 citations per article. The h-index, a composite metric of quantity and quality of scientific output (Kamrani et al. 2021 ), reached 60 in this study.

Trends in publications and disciplinary distribution

The number of publications and citations are significant indicators of the research field’s development, reflecting its continuity, attention, and impact (Ale Ebrahim et al. 2014 ). The ranking of annual publications and citations in the field of older adults’ technology acceptance studies is presented chronologically in Fig. 2A . The figure shows a clear upward trend in the amount of literature in this field. Between 2013 and 2017, the number of publications increased slowly and decreased in 2018. However, in 2019, the number of publications increased rapidly to 52 and reached a peak of 108 in 2022, which is 6.75 times higher than in 2013. In 2022, the frequency of document citations reached its highest point with 3466 citations, reflecting the widespread recognition and citation of research in this field. Moreover, the curve of the annual number of publications fits a quadratic function, with a goodness-of-fit R 2 of 0.9661, indicating that the number of future publications is expected to increase even more rapidly.

A Trends in trends in annual publications and citations (2013–2023). B Overlay analysis of the distribution of discipline fields.

Figure 2B shows that research on older adults’ technology acceptance involves the integration of multidisciplinary knowledge. According to Web of Science Categories, these 500 articles are distributed across 85 different disciplines. We have tabulated the top ten disciplines by publication volume (Table 2 ), which include Medical Informatics (75 articles, 15.00%), Health Care Sciences & Services (71 articles, 14.20%), Gerontology (61 articles, 12.20%), Public Environmental & Occupational Health (57 articles, 11.40%), and Geriatrics & Gerontology (52 articles, 10.40%), among others. The high output in these disciplines reflects the concentrated global academic interest in this comprehensive research topic. Additionally, interdisciplinary research approaches provide diverse perspectives and a solid theoretical foundation for studies on older adults’ technology acceptance, also paving the way for new research directions.

Knowledge flow analysis

A dual-map overlay is a CiteSpace map superimposed on top of a base map, which shows the interrelationships between journals in different domains, representing the publication and citation activities in each domain (Chen and Leydesdorff 2014 ). The overlay map reveals the link between the citing domain (on the left side) and the cited domain (on the right side), reflecting the knowledge flow of the discipline at the journal level (Leydesdorff and Rafols 2012 ). We utilize the in-built Z-score algorithm of the software to cluster the graph, as shown in Fig. 3 .

The left side shows the citing journal, and the right side shows the cited journal.

Figure 3 shows the distribution of citing journals clusters for older adults’ technology acceptance on the left side, while the right side refers to the main cited journals clusters. Two knowledge flow citation trajectories were obtained; they are presented by the color of the cited regions, and the thickness of these trajectories is proportional to the Z-score scaled frequency of citations (Chen et al. 2014 ). Within the cited regions, the most popular fields with the most records covered are “HEALTH, NURSING, MEDICINE” and “PSYCHOLOGY, EDUCATION, SOCIAL”, and the elliptical aspect ratio of these two fields stands out. Fields have prominent elliptical aspect ratios, highlighting their significant influence on older adults’ technology acceptance research. Additionally, the major citation trajectories originate in these two areas and progress to the frontier research area of “PSYCHOLOGY, EDUCATION, HEALTH”. It is worth noting that the citation trajectory from “PSYCHOLOGY, EDUCATION, SOCIAL” has a significant Z-value (z = 6.81), emphasizing the significance and impact of this development path. In the future, “MATHEMATICS, SYSTEMS, MATHEMATICAL”, “MOLECULAR, BIOLOGY, IMMUNOLOGY”, and “NEUROLOGY, SPORTS, OPHTHALMOLOGY” may become emerging fields. The fields of “MEDICINE, MEDICAL, CLINICAL” may be emerging areas of cutting-edge research.

Main research journals analysis

Table 3 provides statistics for the top ten journals by publication volume in the field of older adults’ technology acceptance. Together, these journals have published 137 articles, accounting for 27.40% of the total publications, indicating that there is no highly concentrated core group of journals in this field, with publications being relatively dispersed. Notably, Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction each lead with 15 publications. In terms of citation metrics, International Journal of Medical Informatics and Computers in Human Behavior stand out significantly, with the former accumulating a total of 1,904 citations, averaging 211.56 citations per article, and the latter totaling 1,449 citations, with an average of 96.60 citations per article. These figures emphasize the academic authority and widespread impact of these journals within the research field.

Research power (RQ2)

Countries and collaborations analysis.

The analysis revealed the global research pattern for country distribution and collaboration (Chen et al. 2019 ). Figure 4A shows the network of national collaborations on older adults’ technology acceptance research. The size of the bubbles represents the amount of publications in each country, while the thickness of the connecting lines expresses the closeness of the collaboration among countries. Generally, this research subject has received extensive international attention, with China and the USA publishing far more than any other countries. China has established notable research collaborations with the USA, UK and Malaysia in this field, while other countries have collaborations, but the closeness is relatively low and scattered. Figure 4B shows the annual publication volume dynamics of the top ten countries in terms of total publications. Since 2017, China has consistently increased its annual publications, while the USA has remained relatively stable. In 2019, the volume of publications in each country increased significantly, this was largely due to the global outbreak of the COVID-19 pandemic, which has led to increased reliance on information technology among the elderly for medical consultations, online socialization, and health management (Sinha et al. 2021 ). This phenomenon has led to research advances in technology acceptance among older adults in various countries. Table 4 shows that the top ten countries account for 93.20% of the total cumulative number of publications, with each country having published more than 20 papers. Among these ten countries, all of them except China are developed countries, indicating that the research field of older adults’ technology acceptance has received general attention from developed countries. Currently, China and the USA were the leading countries in terms of publications with 111 and 104 respectively, accounting for 22.20% and 20.80%. The UK, Germany, Italy, and the Netherlands also made significant contributions. The USA and China ranked first and second in terms of the number of citations, while the Netherlands had the highest average citations, indicating the high impact and quality of its research. The UK has shown outstanding performance in international cooperation, while the USA highlights its significant academic influence in this field with the highest h-index value.

A National collaboration network. B Annual volume of publications in the top 10 countries.

Institutions and authors analysis

Analyzing the number of publications and citations can reveal an institution’s or author’s research strength and influence in a particular research area (Kwiek 2021 ). Tables 5 and 6 show the statistics of the institutions and authors whose publication counts are in the top ten, respectively. As shown in Table 5 , higher education institutions hold the main position in this research field. Among the top ten institutions, City University of Hong Kong and The University of Hong Kong from China lead with 14 and 9 publications, respectively. City University of Hong Kong has the highest h-index, highlighting its significant influence in the field. It is worth noting that Tilburg University in the Netherlands is not among the top five in terms of publications, but the high average citation count (130.14) of its literature demonstrates the high quality of its research.

After analyzing the authors’ output using Price’s Law (Redner 1998 ), the highest number of publications among the authors counted ( n  = 10) defines a publication threshold of 3 for core authors in this research area. As a result of quantitative screening, a total of 63 core authors were identified. Table 6 shows that Chen from Zhejiang University, China, Ziefle from RWTH Aachen University, Germany, and Rogers from Macquarie University, Australia, were the top three authors in terms of the number of publications, with 10, 9, and 8 articles, respectively. In terms of average citation rate, Peek and Wouters, both scholars from the Netherlands, have significantly higher rates than other scholars, with 183.2 and 152.67 respectively. This suggests that their research is of high quality and widely recognized. Additionally, Chen and Rogers have high h-indices in this field.

Knowledge base and theme progress (RQ3)

Research knowledge base.

Co-citation relationships occur when two documents are cited together (Zhang and Zhu 2022 ). Co-citation mapping uses references as nodes to represent the knowledge base of a subject area (Min et al. 2021). Figure 5A illustrates co-occurrence mapping in older adults’ technology acceptance research, where larger nodes signify higher co-citation frequencies. Co-citation cluster analysis can be used to explore knowledge structure and research boundaries (Hota et al. 2020 ; Shiau et al. 2023 ). The co-citation clustering mapping of older adults’ technology acceptance research literature (Fig. 5B ) shows that the Q value of the clustering result is 0.8129 (>0.3), and the average value of the weight S is 0.9391 (>0.7), indicating that the clusters are uniformly distributed with a significant and credible structure. This further proves that the boundaries of the research field are clear and there is significant differentiation in the field. The figure features 18 cluster labels, each associated with thematic color blocks corresponding to different time slices. Highlighted emerging research themes include #2 Smart Home Technology, #7 Social Live, and #10 Customer Service. Furthermore, the clustering labels extracted are primarily classified into three categories: theoretical model deepening, emerging technology applications, research methods and evaluation, as detailed in Table 7 .

A Co-citation analysis of references. B Clustering network analysis of references.

Seminal literature analysis

The top ten nodes in terms of co-citation frequency were selected for further analysis. Table 8 displays the corresponding node information. Studies were categorized into four main groups based on content analysis. (1) Research focusing on specific technology usage by older adults includes studies by Peek et al. ( 2014 ), Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ), who investigated the factors influencing the use of e-technology, smartphones, mHealth, and smart wearables, respectively. (2) Concerning the development of theoretical models of technology acceptance, Chen and Chan ( 2014 ) introduced the Senior Technology Acceptance Model (STAM), and Macedo ( 2017 ) analyzed the predictive power of UTAUT2 in explaining older adults’ intentional behaviors and information technology usage. (3) In exploring older adults’ information technology adoption and behavior, Lee and Coughlin ( 2015 ) emphasized that the adoption of technology by older adults is a multifactorial process that includes performance, price, value, usability, affordability, accessibility, technical support, social support, emotion, independence, experience, and confidence. Yusif et al. ( 2016 ) conducted a literature review examining the key barriers affecting older adults’ adoption of assistive technology, including factors such as privacy, trust, functionality/added value, cost, and stigma. (4) From the perspective of research into older adults’ technology acceptance, Mitzner et al. ( 2019 ) assessed the long-term usage of computer systems designed for the elderly, whereas Guner and Acarturk ( 2020 ) compared information technology usage and acceptance between older and younger adults. The breadth and prevalence of this literature make it a vital reference for researchers in the field, also providing new perspectives and inspiration for future research directions.

Research thematic progress

Burst citation is a node of literature that guides the sudden change in dosage, which usually represents a prominent development or major change in a particular field, with innovative and forward-looking qualities. By analyzing the emergent literature, it is often easy to understand the dynamics of the subject area, mapping the emerging thematic change (Chen et al. 2022 ). Figure 6 shows the burst citation mapping in the field of older adults’ technology acceptance research, with burst citations represented by red nodes (Fig. 6A ). For the ten papers with the highest burst intensity (Fig. 6B ), this study will conduct further analysis in conjunction with literature review.

A Burst detection of co-citation. B The top 10 references with the strongest citation bursts.

As shown in Fig. 6 , Mitzner et al. ( 2010 ) broke the stereotype that older adults are fearful of technology, found that they actually have positive attitudes toward technology, and emphasized the centrality of ease of use and usefulness in the process of technology acceptance. This finding provides an important foundation for subsequent research. During the same period, Wagner et al. ( 2010 ) conducted theory-deepening and applied research on technology acceptance among older adults. The research focused on older adults’ interactions with computers from the perspective of Social Cognitive Theory (SCT). This expanded the understanding of technology acceptance, particularly regarding the relationship between behavior, environment, and other SCT elements. In addition, Pan and Jordan-Marsh ( 2010 ) extended the TAM to examine the interactions among predictors of perceived usefulness, perceived ease of use, subjective norm, and convenience conditions when older adults use the Internet, taking into account the moderating roles of gender and age. Heerink et al. ( 2010 ) adapted and extended the UTAUT, constructed a technology acceptance model specifically designed for older users’ acceptance of assistive social agents, and validated it using controlled experiments and longitudinal data, explaining intention to use by combining functional assessment and social interaction variables.

Then the research theme shifted to an in-depth analysis of the factors influencing technology acceptance among older adults. Two papers with high burst strengths emerged during this period: Peek et al. ( 2014 ) (Strength = 12.04), Chen and Chan ( 2014 ) (Strength = 9.81). Through a systematic literature review and empirical study, Peek STM and Chen K, among others, identified multidimensional factors that influence older adults’ technology acceptance. Peek et al. ( 2014 ) analyzed literature on the acceptance of in-home care technology among older adults and identified six factors that influence their acceptance: concerns about technology, expected benefits, technology needs, technology alternatives, social influences, and older adult characteristics, with a focus on differences between pre- and post-implementation factors. Chen and Chan ( 2014 ) constructed the STAM by administering a questionnaire to 1012 older adults and adding eight important factors, including technology anxiety, self-efficacy, cognitive ability, and physical function, based on the TAM. This enriches the theoretical foundation of the field. In addition, Braun ( 2013 ) highlighted the role of perceived usefulness, trust in social networks, and frequency of Internet use in older adults’ use of social networks, while ease of use and social pressure were not significant influences. These findings contribute to the study of older adults’ technology acceptance within specific technology application domains.

Recent research has focused on empirical studies of personal factors and emerging technologies. Ma et al. ( 2016 ) identified key personal factors affecting smartphone acceptance among older adults through structured questionnaires and face-to-face interviews with 120 participants. The study found that cost, self-satisfaction, and convenience were important factors influencing perceived usefulness and ease of use. This study offers empirical evidence to comprehend the main factors that drive smartphone acceptance among Chinese older adults. Additionally, Yusif et al. ( 2016 ) presented an overview of the obstacles that hinder older adults’ acceptance of assistive technologies, focusing on privacy, trust, and functionality.

In summary, research on older adults’ technology acceptance has shifted from early theoretical deepening and analysis of influencing factors to empirical studies in the areas of personal factors and emerging technologies, which have greatly enriched the theoretical basis of older adults’ technology acceptance and provided practical guidance for the design of emerging technology products.

Research hotspots, evolutionary trends, and quality distribution (RQ4)

Core keywords analysis.

Keywords concise the main idea and core of the literature, and are a refined summary of the research content (Huang et al. 2021 ). In CiteSpace, nodes with a centrality value greater than 0.1 are considered to be critical nodes. Analyzing keywords with high frequency and centrality helps to visualize the hot topics in the research field (Park et al. 2018 ). The merged keywords were imported into CiteSpace, and the top 10 keywords were counted and sorted by frequency and centrality respectively, as shown in Table 9 . The results show that the keyword “TAM” has the highest frequency (92), followed by “UTAUT” (24), which reflects that the in-depth study of the existing technology acceptance model and its theoretical expansion occupy a central position in research related to older adults’ technology acceptance. Furthermore, the terms ‘assistive technology’ and ‘virtual reality’ are both high-frequency and high-centrality terms (frequency = 17, centrality = 0.10), indicating that the research on assistive technology and virtual reality for older adults is the focus of current academic attention.

Research hotspots analysis

Using VOSviewer for keyword co-occurrence analysis organizes keywords into groups or clusters based on their intrinsic connections and frequencies, clearly highlighting the research field’s hot topics. The connectivity among keywords reveals correlations between different topics. To ensure accuracy, the analysis only considered the authors’ keywords. Subsequently, the keywords were filtered by setting the keyword frequency to 5 to obtain the keyword clustering map of the research on older adults’ technology acceptance research keyword clustering mapping (Fig. 7 ), combined with the keyword co-occurrence clustering network (Fig. 7A ) and the corresponding density situation (Fig. 7B ) to make a detailed analysis of the following four groups of clustered themes.

A Co-occurrence clustering network. B Keyword density.

Cluster #1—Research on the factors influencing technology adoption among older adults is a prominent topic, covering age, gender, self-efficacy, attitude, and and intention to use (Berkowsky et al. 2017 ; Wang et al. 2017 ). It also examined older adults’ attitudes towards and acceptance of digital health technologies (Ahmad and Mozelius, 2022 ). Moreover, the COVID-19 pandemic, significantly impacting older adults’ technology attitudes and usage, has underscored the study’s importance and urgency. Therefore, it is crucial to conduct in-depth studies on how older adults accept, adopt, and effectively use new technologies, to address their needs and help them overcome the digital divide within digital inclusion. This will improve their quality of life and healthcare experiences.

Cluster #2—Research focuses on how older adults interact with assistive technologies, especially assistive robots and health monitoring devices, emphasizing trust, usability, and user experience as crucial factors (Halim et al. 2022 ). Moreover, health monitoring technologies effectively track and manage health issues common in older adults, like dementia and mild cognitive impairment (Lussier et al. 2018 ; Piau et al. 2019 ). Interactive exercise games and virtual reality have been deployed to encourage more physical and cognitive engagement among older adults (Campo-Prieto et al. 2021 ). Personalized and innovative technology significantly enhances older adults’ participation, improving their health and well-being.

Cluster #3—Optimizing health management for older adults using mobile technology. With the development of mobile health (mHealth) and health information technology, mobile applications, smartphones, and smart wearable devices have become effective tools to help older users better manage chronic conditions, conduct real-time health monitoring, and even receive telehealth services (Dupuis and Tsotsos 2018 ; Olmedo-Aguirre et al. 2022 ; Kim et al. 2014 ). Additionally, these technologies can mitigate the problem of healthcare resource inequality, especially in developing countries. Older adults’ acceptance and use of these technologies are significantly influenced by their behavioral intentions, motivational factors, and self-management skills. These internal motivational factors, along with external factors, jointly affect older adults’ performance in health management and quality of life.

Cluster #4—Research on technology-assisted home care for older adults is gaining popularity. Environmentally assisted living enhances older adults’ independence and comfort at home, offering essential support and security. This has a crucial impact on promoting healthy aging (Friesen et al. 2016 ; Wahlroos et al. 2023 ). The smart home is a core application in this field, providing a range of solutions that facilitate independent living for the elderly in a highly integrated and user-friendly manner. This fulfills different dimensions of living and health needs (Majumder et al. 2017 ). Moreover, eHealth offers accurate and personalized health management and healthcare services for older adults (Delmastro et al. 2018 ), ensuring their needs are met at home. Research in this field often employs qualitative methods and structural equation modeling to fully understand older adults’ needs and experiences at home and analyze factors influencing technology adoption.

Evolutionary trends analysis

To gain a deeper understanding of the evolutionary trends in research hotspots within the field of older adults’ technology acceptance, we conducted a statistical analysis of the average appearance times of keywords, using CiteSpace to generate the time-zone evolution mapping (Fig. 8 ) and burst keywords. The time-zone mapping visually displays the evolution of keywords over time, intuitively reflecting the frequency and initial appearance of keywords in research, commonly used to identify trends in research topics (Jing et al. 2024a ; Kumar et al. 2021 ). Table 10 lists the top 15 keywords by burst strength, with the red sections indicating high-frequency citations and their burst strength in specific years. These burst keywords reveal the focus and trends of research themes over different periods (Kleinberg 2002 ). Combining insights from the time-zone mapping and burst keywords provides more objective and accurate research insights (Wang et al. 2023b ).

Reflecting the frequency and time of first appearance of keywords in the study.

An integrated analysis of Fig. 8 and Table 10 shows that early research on older adults’ technology acceptance primarily focused on factors such as perceived usefulness, ease of use, and attitudes towards information technology, including their use of computers and the internet (Pan and Jordan-Marsh 2010 ), as well as differences in technology use between older adults and other age groups (Guner and Acarturk 2020 ). Subsequently, the research focus expanded to improving the quality of life for older adults, exploring how technology can optimize health management and enhance the possibility of independent living, emphasizing the significant role of technology in improving the quality of life for the elderly. With ongoing technological advancements, recent research has shifted towards areas such as “virtual reality,” “telehealth,” and “human-robot interaction,” with a focus on the user experience of older adults (Halim et al. 2022 ). The appearance of keywords such as “physical activity” and “exercise” highlights the value of technology in promoting physical activity and health among older adults. This phase of research tends to make cutting-edge technology genuinely serve the practical needs of older adults, achieving its widespread application in daily life. Additionally, research has focused on expanding and quantifying theoretical models of older adults’ technology acceptance, involving keywords such as “perceived risk”, “validation” and “UTAUT”.

In summary, from 2013 to 2023, the field of older adults’ technology acceptance has evolved from initial explorations of influencing factors, to comprehensive enhancements in quality of life and health management, and further to the application and deepening of theoretical models and cutting-edge technologies. This research not only reflects the diversity and complexity of the field but also demonstrates a comprehensive and in-depth understanding of older adults’ interactions with technology across various life scenarios and needs.

Research quality distribution

To reveal the distribution of research quality in the field of older adults’ technology acceptance, a strategic diagram analysis is employed to calculate and illustrate the internal development and interrelationships among various research themes (Xie et al. 2020 ). The strategic diagram uses Centrality as the X-axis and Density as the Y-axis to divide into four quadrants, where the X-axis represents the strength of the connection between thematic clusters and other themes, with higher values indicating a central position in the research field; the Y-axis indicates the level of development within the thematic clusters, with higher values denoting a more mature and widely recognized field (Li and Zhou 2020 ).

Through cluster analysis and manual verification, this study categorized 61 core keywords (Frequency ≥5) into 11 thematic clusters. Subsequently, based on the keywords covered by each thematic cluster, the research themes and their directions for each cluster were summarized (Table 11 ), and the centrality and density coordinates for each cluster were precisely calculated (Table 12 ). Finally, a strategic diagram of the older adults’ technology acceptance research field was constructed (Fig. 9 ). Based on the distribution of thematic clusters across the quadrants in the strategic diagram, the structure and developmental trends of the field were interpreted.

Classification and visualization of theme clusters based on density and centrality.

As illustrated in Fig. 9 , (1) the theme clusters of #3 Usage Experience and #4 Assisted Living Technology are in the first quadrant, characterized by high centrality and density. Their internal cohesion and close links with other themes indicate their mature development, systematic research content or directions have been formed, and they have a significant influence on other themes. These themes play a central role in the field of older adults’ technology acceptance and have promising prospects. (2) The theme clusters of #6 Smart Devices, #9 Theoretical Models, and #10 Mobile Health Applications are in the second quadrant, with higher density but lower centrality. These themes have strong internal connections but weaker external links, indicating that these three themes have received widespread attention from researchers and have been the subject of related research, but more as self-contained systems and exhibit independence. Therefore, future research should further explore in-depth cooperation and cross-application with other themes. (3) The theme clusters of #7 Human-Robot Interaction, #8 Characteristics of the Elderly, and #11 Research Methods are in the third quadrant, with lower centrality and density. These themes are loosely connected internally and have weak links with others, indicating their developmental immaturity. Compared to other topics, they belong to the lower attention edge and niche themes, and there is a need for further investigation. (4) The theme clusters of #1 Digital Healthcare Technology, #2 Psychological Factors, and #5 Socio-Cultural Factors are located in the fourth quadrant, with high centrality but low density. Although closely associated with other research themes, the internal cohesion within these clusters is relatively weak. This suggests that while these themes are closely linked to other research areas, their own development remains underdeveloped, indicating a core immaturity. Nevertheless, these themes are crucial within the research domain of elderly technology acceptance and possess significant potential for future exploration.

Discussion on distribution power (RQ1)

Over the past decade, academic interest and influence in the area of older adults’ technology acceptance have significantly increased. This trend is evidenced by a quantitative analysis of publication and citation volumes, particularly noticeable in 2019 and 2022, where there was a substantial rise in both metrics. The rise is closely linked to the widespread adoption of emerging technologies such as smart homes, wearable devices, and telemedicine among older adults. While these technologies have enhanced their quality of life, they also pose numerous challenges, sparking extensive research into their acceptance, usage behaviors, and influencing factors among the older adults (Pirzada et al. 2022 ; Garcia Reyes et al. 2023 ). Furthermore, the COVID-19 pandemic led to a surge in technology demand among older adults, especially in areas like medical consultation, online socialization, and health management, further highlighting the importance and challenges of technology. Health risks and social isolation have compelled older adults to rely on technology for daily activities, accelerating its adoption and application within this demographic. This phenomenon has made technology acceptance a critical issue, driving societal and academic focus on the study of technology acceptance among older adults.

The flow of knowledge at the level of high-output disciplines and journals, along with the primary publishing outlets, indicates the highly interdisciplinary nature of research into older adults’ technology acceptance. This reflects the complexity and breadth of issues related to older adults’ technology acceptance, necessitating the integration of multidisciplinary knowledge and approaches. Currently, research is primarily focused on medical health and human-computer interaction, demonstrating academic interest in improving health and quality of life for older adults and addressing the urgent needs related to their interactions with technology. In the field of medical health, research aims to provide advanced and innovative healthcare technologies and services to meet the challenges of an aging population while improving the quality of life for older adults (Abdi et al. 2020 ; Wilson et al. 2021 ). In the field of human-computer interaction, research is focused on developing smarter and more user-friendly interaction models to meet the needs of older adults in the digital age, enabling them to actively participate in social activities and enjoy a higher quality of life (Sayago, 2019 ). These studies are crucial for addressing the challenges faced by aging societies, providing increased support and opportunities for the health, welfare, and social participation of older adults.

Discussion on research power (RQ2)

This study analyzes leading countries and collaboration networks, core institutions and authors, revealing the global research landscape and distribution of research strength in the field of older adults’ technology acceptance, and presents quantitative data on global research trends. From the analysis of country distribution and collaborations, China and the USA hold dominant positions in this field, with developed countries like the UK, Germany, Italy, and the Netherlands also excelling in international cooperation and research influence. The significant investment in technological research and the focus on the technological needs of older adults by many developed countries reflect their rapidly aging societies, policy support, and resource allocation.

China is the only developing country that has become a major contributor in this field, indicating its growing research capabilities and high priority given to aging societies and technological innovation. Additionally, China has close collaborations with countries such as USA, the UK, and Malaysia, driven not only by technological research needs but also by shared challenges and complementarities in aging issues among these nations. For instance, the UK has extensive experience in social welfare and aging research, providing valuable theoretical guidance and practical experience. International collaborations, aimed at addressing the challenges of aging, integrate the strengths of various countries, advancing in-depth and widespread development in the research of technology acceptance among older adults.

At the institutional and author level, City University of Hong Kong leads in publication volume, with research teams led by Chan and Chen demonstrating significant academic activity and contributions. Their research primarily focuses on older adults’ acceptance and usage behaviors of various technologies, including smartphones, smart wearables, and social robots (Chen et al. 2015 ; Li et al. 2019 ; Ma et al. 2016 ). These studies, targeting specific needs and product characteristics of older adults, have developed new models of technology acceptance based on existing frameworks, enhancing the integration of these technologies into their daily lives and laying a foundation for further advancements in the field. Although Tilburg University has a smaller publication output, it holds significant influence in the field of older adults’ technology acceptance. Particularly, the high citation rate of Peek’s studies highlights their excellence in research. Peek extensively explored older adults’ acceptance and usage of home care technologies, revealing the complexity and dynamics of their technology use behaviors. His research spans from identifying systemic influencing factors (Peek et al. 2014 ; Peek et al. 2016 ), emphasizing familial impacts (Luijkx et al. 2015 ), to constructing comprehensive models (Peek et al. 2017 ), and examining the dynamics of long-term usage (Peek et al. 2019 ), fully reflecting the evolving technology landscape and the changing needs of older adults. Additionally, the ongoing contributions of researchers like Ziefle, Rogers, and Wouters in the field of older adults’ technology acceptance demonstrate their research influence and leadership. These researchers have significantly enriched the knowledge base in this area with their diverse perspectives. For instance, Ziefle has uncovered the complex attitudes of older adults towards technology usage, especially the trade-offs between privacy and security, and how different types of activities affect their privacy needs (Maidhof et al. 2023 ; Mujirishvili et al. 2023 ; Schomakers and Ziefle 2023 ; Wilkowska et al. 2022 ), reflecting a deep exploration and ongoing innovation in the field of older adults’ technology acceptance.

Discussion on knowledge base and thematic progress (RQ3)

Through co-citation analysis and systematic review of seminal literature, this study reveals the knowledge foundation and thematic progress in the field of older adults’ technology acceptance. Co-citation networks and cluster analyses illustrate the structural themes of the research, delineating the differentiation and boundaries within this field. Additionally, burst detection analysis offers a valuable perspective for understanding the thematic evolution in the field of technology acceptance among older adults. The development and innovation of theoretical models are foundational to this research. Researchers enhance the explanatory power of constructed models by deepening and expanding existing technology acceptance theories to address theoretical limitations. For instance, Heerink et al. ( 2010 ) modified and expanded the UTAUT model by integrating functional assessment and social interaction variables to create the almere model. This model significantly enhances the ability to explain the intentions of older users in utilizing assistive social agents and improves the explanation of actual usage behaviors. Additionally, Chen and Chan ( 2014 ) extended the TAM to include age-related health and capability features of older adults, creating the STAM, which substantially improves predictions of older adults’ technology usage behaviors. Personal attributes, health and capability features, and facilitating conditions have a direct impact on technology acceptance. These factors more effectively predict older adults’ technology usage behaviors than traditional attitudinal factors.

With the advancement of technology and the application of emerging technologies, new research topics have emerged, increasingly focusing on older adults’ acceptance and use of these technologies. Prior to this, the study by Mitzner et al. ( 2010 ) challenged the stereotype of older adults’ conservative attitudes towards technology, highlighting the central roles of usability and usefulness in the technology acceptance process. This discovery laid an important foundation for subsequent research. Research fields such as “smart home technology,” “social life,” and “customer service” are emerging, indicating a shift in focus towards the practical and social applications of technology in older adults’ lives. Research not only focuses on the technology itself but also on how these technologies integrate into older adults’ daily lives and how they can improve the quality of life through technology. For instance, studies such as those by Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ) have explored factors influencing older adults’ use of smartphones, mHealth, and smart wearable devices.

Furthermore, the diversification of research methodologies and innovation in evaluation techniques, such as the use of mixed methods, structural equation modeling (SEM), and neural network (NN) approaches, have enhanced the rigor and reliability of the findings, enabling more precise identification of the factors and mechanisms influencing technology acceptance. Talukder et al. ( 2020 ) employed an effective multimethodological strategy by integrating SEM and NN to leverage the complementary strengths of both approaches, thus overcoming their individual limitations and more accurately analyzing and predicting older adults’ acceptance of wearable health technologies (WHT). SEM is utilized to assess the determinants’ impact on the adoption of WHT, while neural network models validate SEM outcomes and predict the significance of key determinants. This combined approach not only boosts the models’ reliability and explanatory power but also provides a nuanced understanding of the motivations and barriers behind older adults’ acceptance of WHT, offering deep research insights.

Overall, co-citation analysis of the literature in the field of older adults’ technology acceptance has uncovered deeper theoretical modeling and empirical studies on emerging technologies, while emphasizing the importance of research methodological and evaluation innovations in understanding complex social science issues. These findings are crucial for guiding the design and marketing strategies of future technology products, especially in the rapidly growing market of older adults.

Discussion on research hotspots and evolutionary trends (RQ4)

By analyzing core keywords, we can gain deep insights into the hot topics, evolutionary trends, and quality distribution of research in the field of older adults’ technology acceptance. The frequent occurrence of the keywords “TAM” and “UTAUT” indicates that the applicability and theoretical extension of existing technology acceptance models among older adults remain a focal point in academia. This phenomenon underscores the enduring influence of the studies by Davis ( 1989 ) and Venkatesh et al. ( 2003 ), whose models provide a robust theoretical framework for explaining and predicting older adults’ acceptance and usage of emerging technologies. With the widespread application of artificial intelligence (AI) and big data technologies, these theoretical models have incorporated new variables such as perceived risk, trust, and privacy issues (Amin et al. 2024 ; Chen et al. 2024 ; Jing et al. 2024b ; Seibert et al. 2021 ; Wang et al. 2024b ), advancing the theoretical depth and empirical research in this field.

Keyword co-occurrence cluster analysis has revealed multiple research hotspots in the field, including factors influencing technology adoption, interactive experiences between older adults and assistive technologies, the application of mobile health technology in health management, and technology-assisted home care. These studies primarily focus on enhancing the quality of life and health management of older adults through emerging technologies, particularly in the areas of ambient assisted living, smart health monitoring, and intelligent medical care. In these domains, the role of AI technology is increasingly significant (Qian et al. 2021 ; Ho 2020 ). With the evolution of next-generation information technologies, AI is increasingly integrated into elder care systems, offering intelligent, efficient, and personalized service solutions by analyzing the lifestyles and health conditions of older adults. This integration aims to enhance older adults’ quality of life in aspects such as health monitoring and alerts, rehabilitation assistance, daily health management, and emotional support (Lee et al. 2023 ). A survey indicates that 83% of older adults prefer AI-driven solutions when selecting smart products, demonstrating the increasing acceptance of AI in elder care (Zhao and Li 2024 ). Integrating AI into elder care presents both opportunities and challenges, particularly in terms of user acceptance, trust, and long-term usage effects, which warrant further exploration (Mhlanga 2023 ). These studies will help better understand the profound impact of AI technology on the lifestyles of older adults and provide critical references for optimizing AI-driven elder care services.

The Time-zone evolution mapping and burst keyword analysis further reveal the evolutionary trends of research hotspots. Early studies focused on basic technology acceptance models and user perceptions, later expanding to include quality of life and health management. In recent years, research has increasingly focused on cutting-edge technologies such as virtual reality, telehealth, and human-robot interaction, with a concurrent emphasis on the user experience of older adults. This evolutionary process demonstrates a deepening shift from theoretical models to practical applications, underscoring the significant role of technology in enhancing the quality of life for older adults. Furthermore, the strategic coordinate mapping analysis clearly demonstrates the development and mutual influence of different research themes. High centrality and density in the themes of Usage Experience and Assisted Living Technology indicate their mature research status and significant impact on other themes. The themes of Smart Devices, Theoretical Models, and Mobile Health Applications demonstrate self-contained research trends. The themes of Human-Robot Interaction, Characteristics of the Elderly, and Research Methods are not yet mature, but they hold potential for development. Themes of Digital Healthcare Technology, Psychological Factors, and Socio-Cultural Factors are closely related to other themes, displaying core immaturity but significant potential.

In summary, the research hotspots in the field of older adults’ technology acceptance are diverse and dynamic, demonstrating the academic community’s profound understanding of how older adults interact with technology across various life contexts and needs. Under the influence of AI and big data, research should continue to focus on the application of emerging technologies among older adults, exploring in depth how they adapt to and effectively use these technologies. This not only enhances the quality of life and healthcare experiences for older adults but also drives ongoing innovation and development in this field.

Research agenda

Based on the above research findings, to further understand and promote technology acceptance and usage among older adults, we recommend future studies focus on refining theoretical models, exploring long-term usage, and assessing user experience in the following detailed aspects:

Refinement and validation of specific technology acceptance models for older adults: Future research should focus on developing and validating technology acceptance models based on individual characteristics, particularly considering variations in technology acceptance among older adults across different educational levels and cultural backgrounds. This includes factors such as age, gender, educational background, and cultural differences. Additionally, research should examine how well specific technologies, such as wearable devices and mobile health applications, meet the needs of older adults. Building on existing theoretical models, this research should integrate insights from multiple disciplines such as psychology, sociology, design, and engineering through interdisciplinary collaboration to create more accurate and comprehensive models, which should then be validated in relevant contexts.

Deepening the exploration of the relationship between long-term technology use and quality of life among older adults: The acceptance and use of technology by users is a complex and dynamic process (Seuwou et al. 2016 ). Existing research predominantly focuses on older adults’ initial acceptance or short-term use of new technologies; however, the impact of long-term use on their quality of life and health is more significant. Future research should focus on the evolution of older adults’ experiences and needs during long-term technology usage, and the enduring effects of technology on their social interactions, mental health, and life satisfaction. Through longitudinal studies and qualitative analysis, this research reveals the specific needs and challenges of older adults in long-term technology use, providing a basis for developing technologies and strategies that better meet their requirements. This understanding aids in comprehensively assessing the impact of technology on older adults’ quality of life and guiding the optimization and improvement of technological products.

Evaluating the Importance of User Experience in Research on Older Adults’ Technology Acceptance: Understanding the mechanisms of information technology acceptance and use is central to human-computer interaction research. Although technology acceptance models and user experience models differ in objectives, they share many potential intersections. Technology acceptance research focuses on structured prediction and assessment, while user experience research concentrates on interpreting design impacts and new frameworks. Integrating user experience to assess older adults’ acceptance of technology products and systems is crucial (Codfrey et al. 2022 ; Wang et al. 2019 ), particularly for older users, where specific product designs should emphasize practicality and usability (Fisk et al. 2020 ). Researchers need to explore innovative age-appropriate design methods to enhance older adults’ usage experience. This includes studying older users’ actual usage preferences and behaviors, optimizing user interfaces, and interaction designs. Integrating feedback from older adults to tailor products to their needs can further promote their acceptance and continued use of technology products.

Conclusions

This study conducted a systematic review of the literature on older adults’ technology acceptance over the past decade through bibliometric analysis, focusing on the distribution power, research power, knowledge base and theme progress, research hotspots, evolutionary trends, and quality distribution. Using a combination of quantitative and qualitative methods, this study has reached the following conclusions:

Technology acceptance among older adults has become a hot topic in the international academic community, involving the integration of knowledge across multiple disciplines, including Medical Informatics, Health Care Sciences Services, and Ergonomics. In terms of journals, “PSYCHOLOGY, EDUCATION, HEALTH” represents a leading field, with key publications including Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction . These journals possess significant academic authority and extensive influence in the field.

Research on technology acceptance among older adults is particularly active in developed countries, with China and USA publishing significantly more than other nations. The Netherlands leads in high average citation rates, indicating the depth and impact of its research. Meanwhile, the UK stands out in terms of international collaboration. At the institutional level, City University of Hong Kong and The University of Hong Kong in China are in leading positions. Tilburg University in the Netherlands demonstrates exceptional research quality through its high average citation count. At the author level, Chen from China has the highest number of publications, while Peek from the Netherlands has the highest average citation count.

Co-citation analysis of references indicates that the knowledge base in this field is divided into three main categories: theoretical model deepening, emerging technology applications, and research methods and evaluation. Seminal literature focuses on four areas: specific technology use by older adults, expansion of theoretical models of technology acceptance, information technology adoption behavior, and research perspectives. Research themes have evolved from initial theoretical deepening and analysis of influencing factors to empirical studies on individual factors and emerging technologies.

Keyword analysis indicates that TAM and UTAUT are the most frequently occurring terms, while “assistive technology” and “virtual reality” are focal points with high frequency and centrality. Keyword clustering analysis reveals that research hotspots are concentrated on the influencing factors of technology adoption, human-robot interaction experiences, mobile health management, and technology for aging in place. Time-zone evolution mapping and burst keyword analysis have revealed the research evolution from preliminary exploration of influencing factors, to enhancements in quality of life and health management, and onto advanced technology applications and deepening of theoretical models. Furthermore, analysis of research quality distribution indicates that Usage Experience and Assisted Living Technology have become core topics, while Smart Devices, Theoretical Models, and Mobile Health Applications point towards future research directions.

Through this study, we have systematically reviewed the dynamics, core issues, and evolutionary trends in the field of older adults’ technology acceptance, constructing a comprehensive Knowledge Mapping of the domain and presenting a clear framework of existing research. This not only lays the foundation for subsequent theoretical discussions and innovative applications in the field but also provides an important reference for relevant scholars.

Limitations

To our knowledge, this is the first bibliometric analysis concerning technology acceptance among older adults, and we adhered strictly to bibliometric standards throughout our research. However, this study relies on the Web of Science Core Collection, and while its authority and breadth are widely recognized, this choice may have missed relevant literature published in other significant databases such as PubMed, Scopus, and Google Scholar, potentially overlooking some critical academic contributions. Moreover, given that our analysis was confined to literature in English, it may not reflect studies published in other languages, somewhat limiting the global representativeness of our data sample.

It is noteworthy that with the rapid development of AI technology, its increasingly widespread application in elderly care services is significantly transforming traditional care models. AI is profoundly altering the lifestyles of the elderly, from health monitoring and smart diagnostics to intelligent home systems and personalized care, significantly enhancing their quality of life and health care standards. The potential for AI technology within the elderly population is immense, and research in this area is rapidly expanding. However, due to the restrictive nature of the search terms used in this study, it did not fully cover research in this critical area, particularly in addressing key issues such as trust, privacy, and ethics.

Consequently, future research should not only expand data sources, incorporating multilingual and multidatabase literature, but also particularly focus on exploring older adults’ acceptance of AI technology and its applications, in order to construct a more comprehensive academic landscape of older adults’ technology acceptance, thereby enriching and extending the knowledge system and academic trends in this field.

Data availability

The datasets analyzed during the current study are available in the Dataverse repository: https://doi.org/10.7910/DVN/6K0GJH .

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Acknowledgements

This research was supported by the Social Science Foundation of Shaanxi Province in China (Grant No. 2023J014).

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School of Art and Design, Shaanxi University of Science and Technology, Xi’an, China

Xianru Shang, Zijian Liu, Chen Gong, Zhigang Hu & Yuexuan Wu

Department of Education Information Technology, Faculty of Education, East China Normal University, Shanghai, China

Chengliang Wang

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Conceptualization, XS, YW, CW; methodology, XS, ZL, CG, CW; software, XS, CG, YW; writing-original draft preparation, XS, CW; writing-review and editing, XS, CG, ZH, CW; supervision, ZL, ZH, CW; project administration, ZL, ZH, CW; funding acquisition, XS, CG. All authors read and approved the final manuscript. All authors have read and approved the re-submission of the manuscript.

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Shang, X., Liu, Z., Gong, C. et al. Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023. Humanit Soc Sci Commun 11 , 1115 (2024). https://doi.org/10.1057/s41599-024-03658-2

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Received : 20 June 2024

Accepted : 21 August 2024

Published : 31 August 2024

DOI : https://doi.org/10.1057/s41599-024-03658-2

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