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Research Paper Conclusion – Writing Guide and Examples

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Research Paper Conclusion

Definition:

A research paper conclusion is the final section of a research paper that summarizes the key findings, significance, and implications of the research. It is the writer’s opportunity to synthesize the information presented in the paper, draw conclusions, and make recommendations for future research or actions.

The conclusion should provide a clear and concise summary of the research paper, reiterating the research question or problem, the main results, and the significance of the findings. It should also discuss the limitations of the study and suggest areas for further research.

Parts of Research Paper Conclusion

The parts of a research paper conclusion typically include:

Restatement of the Thesis

The conclusion should begin by restating the thesis statement from the introduction in a different way. This helps to remind the reader of the main argument or purpose of the research.

Summary of Key Findings

The conclusion should summarize the main findings of the research, highlighting the most important results and conclusions. This section should be brief and to the point.

Implications and Significance

In this section, the researcher should explain the implications and significance of the research findings. This may include discussing the potential impact on the field or industry, highlighting new insights or knowledge gained, or pointing out areas for future research.

Limitations and Recommendations

It is important to acknowledge any limitations or weaknesses of the research and to make recommendations for how these could be addressed in future studies. This shows that the researcher is aware of the potential limitations of their work and is committed to improving the quality of research in their field.

Concluding Statement

The conclusion should end with a strong concluding statement that leaves a lasting impression on the reader. This could be a call to action, a recommendation for further research, or a final thought on the topic.

How to Write Research Paper Conclusion

Here are some steps you can follow to write an effective research paper conclusion:

Restate the research problem or question: Begin by restating the research problem or question that you aimed to answer in your research. This will remind the reader of the purpose of your study.
Summarize the main points: Summarize the key findings and results of your research. This can be done by highlighting the most important aspects of your research and the evidence that supports them.
Discuss the implications: Discuss the implications of your findings for the research area and any potential applications of your research. You should also mention any limitations of your research that may affect the interpretation of your findings.
Provide a conclusion : Provide a concise conclusion that summarizes the main points of your paper and emphasizes the significance of your research. This should be a strong and clear statement that leaves a lasting impression on the reader.
Offer suggestions for future research: Lastly, offer suggestions for future research that could build on your findings and contribute to further advancements in the field.

Remember that the conclusion should be brief and to the point, while still effectively summarizing the key findings and implications of your research.

Example of Research Paper Conclusion

Here’s an example of a research paper conclusion:

Conclusion :

In conclusion, our study aimed to investigate the relationship between social media use and mental health among college students. Our findings suggest that there is a significant association between social media use and increased levels of anxiety and depression among college students. This highlights the need for increased awareness and education about the potential negative effects of social media use on mental health, particularly among college students.

Despite the limitations of our study, such as the small sample size and self-reported data, our findings have important implications for future research and practice. Future studies should aim to replicate our findings in larger, more diverse samples, and investigate the potential mechanisms underlying the association between social media use and mental health. In addition, interventions should be developed to promote healthy social media use among college students, such as mindfulness-based approaches and social media detox programs.

Overall, our study contributes to the growing body of research on the impact of social media on mental health, and highlights the importance of addressing this issue in the context of higher education. By raising awareness and promoting healthy social media use among college students, we can help to reduce the negative impact of social media on mental health and improve the well-being of young adults.

Purpose of Research Paper Conclusion

The purpose of a research paper conclusion is to provide a summary and synthesis of the key findings, significance, and implications of the research presented in the paper. The conclusion serves as the final opportunity for the writer to convey their message and leave a lasting impression on the reader.

The conclusion should restate the research problem or question, summarize the main results of the research, and explain their significance. It should also acknowledge the limitations of the study and suggest areas for future research or action.

Overall, the purpose of the conclusion is to provide a sense of closure to the research paper and to emphasize the importance of the research and its potential impact. It should leave the reader with a clear understanding of the main findings and why they matter. The conclusion serves as the writer’s opportunity to showcase their contribution to the field and to inspire further research and action.

When to Write Research Paper Conclusion

The conclusion of a research paper should be written after the body of the paper has been completed. It should not be written until the writer has thoroughly analyzed and interpreted their findings and has written a complete and cohesive discussion of the research.

Before writing the conclusion, the writer should review their research paper and consider the key points that they want to convey to the reader. They should also review the research question, hypotheses, and methodology to ensure that they have addressed all of the necessary components of the research.

Once the writer has a clear understanding of the main findings and their significance, they can begin writing the conclusion. The conclusion should be written in a clear and concise manner, and should reiterate the main points of the research while also providing insights and recommendations for future research or action.

Characteristics of Research Paper Conclusion

The characteristics of a research paper conclusion include:

Clear and concise: The conclusion should be written in a clear and concise manner, summarizing the key findings and their significance.
Comprehensive: The conclusion should address all of the main points of the research paper, including the research question or problem, the methodology, the main results, and their implications.
Future-oriented : The conclusion should provide insights and recommendations for future research or action, based on the findings of the research.
Impressive : The conclusion should leave a lasting impression on the reader, emphasizing the importance of the research and its potential impact.
Objective : The conclusion should be based on the evidence presented in the research paper, and should avoid personal biases or opinions.
Unique : The conclusion should be unique to the research paper and should not simply repeat information from the introduction or body of the paper.

Advantages of Research Paper Conclusion

The advantages of a research paper conclusion include:

Summarizing the key findings : The conclusion provides a summary of the main findings of the research, making it easier for the reader to understand the key points of the study.
Emphasizing the significance of the research: The conclusion emphasizes the importance of the research and its potential impact, making it more likely that readers will take the research seriously and consider its implications.
Providing recommendations for future research or action : The conclusion suggests practical recommendations for future research or action, based on the findings of the study.
Providing closure to the research paper : The conclusion provides a sense of closure to the research paper, tying together the different sections of the paper and leaving a lasting impression on the reader.
Demonstrating the writer’s contribution to the field : The conclusion provides the writer with an opportunity to showcase their contribution to the field and to inspire further research and action.

Limitations of Research Paper Conclusion

While the conclusion of a research paper has many advantages, it also has some limitations that should be considered, including:

I nability to address all aspects of the research: Due to the limited space available in the conclusion, it may not be possible to address all aspects of the research in detail.
Subjectivity : While the conclusion should be objective, it may be influenced by the writer’s personal biases or opinions.
Lack of new information: The conclusion should not introduce new information that has not been discussed in the body of the research paper.
Lack of generalizability: The conclusions drawn from the research may not be applicable to other contexts or populations, limiting the generalizability of the study.
Misinterpretation by the reader: The reader may misinterpret the conclusions drawn from the research, leading to a misunderstanding of the findings.

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How to Write a Conclusion for a Research Paper

3-minute read

29th August 2023

If you’re writing a research paper, the conclusion is your opportunity to summarize your findings and leave a lasting impression on your readers. In this post, we’ll take you through how to write an effective conclusion for a research paper and how you can:

· Reword your thesis statement

· Highlight the significance of your research

· Discuss limitations

· Connect to the introduction

· End with a thought-provoking statement

Rewording Your Thesis Statement

Begin your conclusion by restating your thesis statement in a way that is slightly different from the wording used in the introduction. Avoid presenting new information or evidence in your conclusion. Just summarize the main points and arguments of your essay and keep this part as concise as possible. Remember that you’ve already covered the in-depth analyses and investigations in the main body paragraphs of your essay, so it’s not necessary to restate these details in the conclusion.

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Highlighting the Significance of Your Research

The conclusion is a good place to emphasize the implications of your research . Avoid ambiguous or vague language such as “I think” or “maybe,” which could weaken your position. Clearly explain why your research is significant and how it contributes to the broader field of study.

Here’s an example from a (fictional) study on the impact of social media on mental health:

Discussing Limitations

Although it’s important to emphasize the significance of your study, you can also use the conclusion to briefly address any limitations you discovered while conducting your research, such as time constraints or a shortage of resources. Doing this demonstrates a balanced and honest approach to your research.

Connecting to the Introduction

In your conclusion, you can circle back to your introduction , perhaps by referring to a quote or anecdote you discussed earlier. If you end your paper on a similar note to how you began it, you will create a sense of cohesion for the reader and remind them of the meaning and significance of your research.

Ending With a Thought-Provoking Statement

Consider ending your paper with a thought-provoking and memorable statement that relates to the impact of your research questions or hypothesis. This statement can be a call to action, a philosophical question, or a prediction for the future (positive or negative). Here’s an example that uses the same topic as above (social media and mental health):

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Research Paper Guide

Research Paper Conclusion

Writing a Research Paper Conclusion - Step-by-Step Guide

What is a Research Paper Conclusion?

A research paper conclusion is like the final chapter of your paper. It's where you bring everything together and leave a lasting impression on your readers.

In simple terms, it's the last part where you sum up what you found during your research and explain why it matters.

The conclusion isn't just a summary; it's a chance to make your research memorable and show its importance.

Types of Research Paper Conclusions

When it comes to writing the conclusion of your research paper, there isn't a one-size-fits-all approach. Different types of research papers call for different types of conclusions. Here are some common types:

Summarizing Conclusion

This type recaps the key points and findings of your research. It's like giving your readers a quick overview of what you discovered without introducing new information. Summarizing conclusions works well for straightforward research papers.

Reflective Conclusion

A reflective conclusion allows you to share your personal thoughts on the research process, challenges faced, and lessons learned. It adds a human touch to your paper, giving readers insight into your journey as a researcher.

Open-ended Conclusion

Some research papers benefit from an open-ended conclusion that leaves room for further exploration. This type invites readers to think critically, ask questions, or even conduct additional research on the same topic.

How to Write a Research Paper Conclusion: 7 Steps

Writing an effective conclusion for your research paper involves more than just summarizing your findings. Follow these six essential steps to ensure your conclusion leaves a lasting impact:

Step 1: Restate the Research Problem

Start wrapping up your paper by going back to the main research question or issue you were investigating.

Remind your readers about what you were trying to find out or understand. This gives your conclusion a clear connection to the original goal of your research, helping readers see the bigger picture.

Step 2: Revisit Your Thesis Statement

Go back to the main idea or argument you had in your paper—this is called your thesis statement. Double-check that your conclusion matches and supports what you wanted to prove or talk about in the beginning.

This step is important because it keeps your conclusion connected to the main point of your research, making everything fit together nicely.

Step 3: Summarize Key Points

Give a short and clear recap of the most important things you found in your research. Keep it simple and stick to what you've already talked about—don't bring in new details now.

The goal is to remind your readers of the important stuff you covered earlier. This helps to underline why your research is important and what you want them to take away from it.

Step 4: Discuss the Implications

Address the broader implications of your research. Explain why your findings matter and how they contribute to the existing body of knowledge in your field.

Discuss the practical applications of your research and highlight any potential areas for further exploration.

Step 5: Connect with the Introduction

Create a seamless connection between your conclusion and the introduction. Referencing key elements from the introduction helps to create a cohesive narrative for your paper.

This connection gives your research a sense of completeness and unity.

Step 6: Consider the "So What?" Factor

Ask yourself the question, "So what?" Why should readers care about your research? Clearly articulate the significance of your findings and their relevance to the broader academic or real-world context.

Demonstrating the impact of your research adds depth to your conclusion.

Step 7: End with a Strong Closing Statement:

Conclude your research paper with a memorable closing statement. This could be a thought-provoking reflection, a call to action, or a suggestion for future research.

A strong closing leaves a lasting impression on your readers and emphasizes the importance of your work.

Research Paper Conclusion Examples

When it comes to writing a conclusion for your research paper, examining examples can offer valuable insights. Let’s take a look at this comprehensive example given below:

Still wondering how to write the conclusion for your research paper? Check out these examples for better understanding:

Conclusion For A Research Paper APA

Conclusion For A Research Paper Example Pdf

Conclusion For A Research Paper Pdf

Conclusion For A Research Paper Middle School

Conclusion For A Scientific Paper

Conclusion For A Research Paper Sample

Things to Avoid While Writing the Research Paper Conclusion

While crafting a conclusion for your research paper, it's crucial to steer clear of common pitfalls that can diminish the impact of your final remarks.

Here are some things to avoid:

Repetition: Avoid rehashing the exact language used in the introduction or body of your paper. A conclusion should summarize key points without duplicating content.
Introducing New Information: Resist the temptation to introduce new ideas or data in the conclusion. This section is for summarizing existing content and reinforcing key findings.
Overly Complex Language: Keep your conclusion clear and accessible. Avoid introducing overly complex or technical language that might confuse your readers.
Lack of Connection to Introduction: Ensure that your conclusion ties back to the introduction. Failing to connect these sections can make your paper feel disjointed.
Vague Statements: Steer clear of vague statements that lack substance. Clearly articulate the significance of your findings and their broader implications.
Apologies or Excuses: Avoid including apologies or excuses for limitations in your research. While acknowledging limitations is important, the conclusion is not the place to dwell on them.
New Arguments or Debates: The conclusion is not the space to introduce new debates or arguments. Keep the focus on summarizing your research and its implications.
Abrupt Endings: A conclusion should not end abruptly. Instead, provide a thoughtful and well-rounded closing statement about the results of your study.

To sum it up, we've gone through important steps to make your research paper conclusion strong. We covered things like going back to your main question, talking about the most important points, and thinking about why your research matters in the real world.

Remember, a good ending is more than just a summary; it captures the heart of your research and answers the big "So what?" question.

Remember, don't say the same things too much, don't add new details at the end, and keep your language simple!

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How to Write a Conclusion on a Marketing Research Paper

Writing a marketing research paper is a challenging undertaking that requires a great deal of time and preparation. Writing the conclusion to a marketing research paper is relatively straightforward because you've already done all the hard work. A good conclusion summarizes the main argument of your paper and points to the strengths and limitations of your research. A successful conclusion answers the "so what?" question and paves the road for future studies pertaining to your topic. With a nudge in the right direction, you'll write a conclusion that will bring your paper to an effective close.

Summarize the main argument of your paper without repeating too much. Point out why the argument is significant to the research and issue at hand to bring them to a concluding point.

Explain the strengths and limitations of your research and arguments to suggest what future work is required.

Explain the importance of your work and the significance it has to the real world. Answer the question: "How are my arguments and research useful?"

Demonstrate how all the ideas and research you put forth in the paper work together without having to present new information.

Echo the introduction without repeating it word for word to tie the paper together neatly. Explain how the insights and information found in the body of the paper reinforce the ideas suggested by the thesis in the introduction.

End the conclusion with something you want your readers to think about by issuing a challenge to your readers pertaining to how the information presented in the paper can influence their lives.

Do not present new information in your conclusion; instead, structure your conclusion to reinforce and validate the arguments and research already presented.
Don't write more than one concluding paragraph. Exercise brevity by writing to the point without exaggerating the content of your paper.
LEO: Strategies for Writing a Conclusion; Randa Holewa et. al.; February 2004
ACC: Tips for Writing a Strong Conclusion; Barry Hamilton; October 2005

Based in Victoria, British Columbia, Sebastian Malysa began his writing career in 2010. His work focuses on the general arts and appears on Answerbag and eHow. He has won a number of academic awards, most notably the CTV Award for best proposed documentary film. He holds a Master of Arts in contemporary disability theater from the University of Victoria.

How to Write a Conclusion for a Research Paper

Find out which type of conclusion best suits your research, how to write it step-by-step, and common mistakes to avoid.

When writing a research paper, it can be challenging to make your point after providing an extensive amount of information. For this reason, a well-organized conclusion is essential.

A research paper’s conclusion should be a brief summary of the paper’s substance and objectives; what you present in your research paper can gain impact by having a strong conclusion section.

In this Mind The Graph article, you will learn how to write a conclusion for a research report in a way that inspires action and helps the readers to better understand your research paper. This article will provide you the definition and some broad principles before providing step-by-step guidance.

What is a conclusion for a research paper and why is it important?

A conclusion is where you summarize the main points and, if appropriate, make new research suggestions. It is not merely a summary of the key points discussed or a rehash of your research question.

The reader is expected to comprehend from the article’s conclusion why your study should be significant to them after reading it. A conclusion of one or two well-developed paragraphs is appropriate for the majority of research papers; however, in a few unusual cases, more paragraphs may be required to highlight significant findings and their importance.

Just as the introduction is responsible for giving the reader a first impression on the subject, the conclusion is the chance to make a final impression by summarizing major information of your research paper and, most often, giving a different point of view on significant implications.

Adding a strong conclusion to your research paper is important because it’s a possibility to give the reader the comprehension of your research topic. Given that the reader is now fully informed on the subject, the conclusion also gives you a chance to restate the research problem effectively and concisely.

conclusion to a marketing research paper

Examples of conclusions for a research paper

Now that you are aware of what a conclusion is and its significance for a research paper, it is time to provide you with some excellent samples of well-structured conclusions so you may get knowledge about the type of conclusion you can use for your research paper.

Argumentative Research Paper Conclusion

The most convincing arguments from your research paper should be added to the conclusion if you want to compose a strong argumentative conclusion.

Additionally, if your thesis statement expresses your perspective on the subject, you should think about restarting it as well as including any other pertinent information.

Example: As a result of the sixth extinction, which is currently affecting Earth, many species are vanishing every day. There are at least three strategies that people could employ to keep them from going extinct entirely in the ensuing fifty years. More recycling options, innovative plastic production techniques, and species preservation could save lives.

Analytical Research Paper Conclusion

The first thing you should do is reiterate your thesis and list the main elements of your arguments.

There should undoubtedly be a spotlight on a bigger context in the analytical research paper conclusion, which is the key distinction between it and other types of conclusions. It means you can add some meaning to the findings.

Example: Elon Musk has revolutionized the way we drive, pay for things, and even fly. His innovations are solely motivated by the desire to simplify things, but they inevitably alter the course of history. When Musk was a student, he had his first idea for PayPal, which is now among the most widely used methods of online payment. Likewise with Tesla automobiles.

Comparative Research Paper Conclusion

The conclusion of a comparative essay should be deeply analytical. To clearly express your conclusions, you must be very thorough when reviewing the data. Furthermore, the sources must be reliable.

A paraphrased thesis statement and a few sentences describing the significance of your study research are also required, as per normal.

Example: Gas-powered vehicles are ineffective and inefficient compared to electric vehicles. Not only do they emit fewer pollutants, but the drivers also get there more quickly. Additionally, gas cars cost more to maintain. Everything stems from the details of the far more straightforward engines used in electric cars.

How to write a conclusion for a research paper

In this section, you will learn how to write a conclusion for a research paper effectively and properly. These few easy steps will enable you to write the most convincing conclusion to your research paper.

1. Remember about the main topic

The statement must be written clearly and concisely to be effective, just one sentence. Remember that your conclusion should be concise and precise, expressing only the most important elements.

2. Reaffirm your thesis

Restate the research paper’s thesis after that. This can be done by going back to the original thesis that you presented in the research’s introduction. The thesis statement in your conclusion must be expressed differently from how it was in the introduction. This section can also be written effectively in a single sentence.

3. Sum important points in a summary

It’s time to make a list of the important arguments in your research paper. This phase can be made simpler by reading over your research and emphasizing only the main ideas and evidence.

Remember that the conclusion should not contain any new information. Focus only on the concepts you cover in your paper’s main body as a result. And also, keep in mind that this brief summary reminds your readers of the importance of the topic you are researching.

4. Emphasize the importance

At this stage, you can genuinely express a few words about how significant your arguments are. A succinct but impactful sentence can successfully achieve its aim. You could also attempt to examine this circumstance from a wider perspective.

Give an example of how your discoveries have affected a certain field. It would be beneficial if you made an effort to answer the question, “So what?” if there was any ambiguity.

5. Finish up your argument

As you wrap up your conclusion, consider posing a question or a call to action that will encourage readers to consider your point of view even further. This sentence can also answer any queries that were not addressed in the paper’s body paragraphs.

In addition, if there is an unresolved question in the main body, this is a fantastic area to comment on.

Common mistakes you should avoid

After learning the fundamentals of producing a strong research paper conclusion, it’s time to learn the common mistakes to avoid.

Weak conclusion: If your ending is weak, readers will feel dissatisfied and disappointed. Writing ambiguous closing lines for essays also lowers the quality of the paper and the capacity of your arguments to support your main topic.
Abrupt conclusion: Your research has to be an expression of your writing as a whole, not just a section. Therefore, make sure your thoughts are fully stated.
Adding new information: Only your research should only be summarized in the conclusion. As the conclusion cannot contain extra information, make sure to offer all of your conclusions and supporting evidence in the body paragraphs.
Absence of focus: A conclusion needs to be concise and well-focused. Avoid concluding the research with inane or superfluous details.
Absurd length: Research must be of a proper length—neither too long nor too short. If you write more than is necessary, you can miss the point, which is to revisit the paper’s argument straightforwardly. Additionally, if you write too little, your readers will think you’re being negligent. It should be written in at least one or two whole paragraphs.

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About Jessica Abbadia

Jessica Abbadia is a lawyer that has been working in Digital Marketing since 2020, improving organic performance for apps and websites in various regions through ASO and SEO. Currently developing scientific and intellectual knowledge for the community's benefit. Jessica is an animal rights activist who enjoys reading and drinking strong coffee.

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What is a Marketing Research Report and How to Write It?

Enjoy reading this blog post written by our experts or partners.

If you want to see what Databox can do for you, click here .

There is nothing more embarrassing for a marketer than to hear a client say “…this doesn’t quite address the business questions that we need to answer.” And unfortunately, this is a rather common occurrence in market research reporting that most marketers would care to admit.

So, why do most market research reports fail to meet client expectations? Well, in most cases, because there is more emphasis on methodology and analytic techniques used to craft the report rather than relying on data visualization, creative story-telling, and outlining actionable direction/steps.

Now, our next big question is, how do you avoid your client’s dreaded deer-in-the-headlights reaction when presenting such a report? This blog post will answer this and much more, as we go through the following:

What Is a Market Research Report?

Why is market research important, differences between primary and secondary market research, types of market research, market research reports advantages and disadvantages, how to do market research, how to prepare a market research report: 5 steps, marketing research report templates, marketing research reports best practices, bring your market research reports a step further with databox.

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The purpose of creating a market research report is to make calculated decisions about business ideas. Market research is done to evaluate the feasibility of a new product or service, through research conducted with potential consumers. The information obtained from conducting market research is then documented in a formal report that should contain the following details:

The characteristics of your ideal customers
You customers buying habits
The value your product or service can bring to those customers
A list of your top competitors

Every business aims to provide the best possible product or service at the lowest cost possible. Simply said, market research is important because it helps you understand your customers and determine whether the product or service that you are about to launch is worth the effort.

Here is an example of a customer complaint that may result in more detailed market research:

Suppose you sell widgets, and you want your widget business to succeed over the long term. Over the years, you have developed many different ways of making widgets. But a couple of years ago, a customer complained that your widgets were made of a cheap kind of foam that fell apart after six months. You didn’t think at the time that this was a major problem, but now you know it.

The customer is someone you really want to keep. So, you decide to research this complaint. You set up a focus group of people who use widgets and ask them what they think about the specific problem. After the conducted survey you’ll get a better picture of customer opinions, so you can either decide to make the changes regarding widget design or just let it go.

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Marketing research requires both primary and secondary market research. But what does that mean and what are the main differences?

Primary market research takes in information directly from customers, usually as participants in surveys. Usually, it is consisted of:

Exploratory Primary Research – This type of research helps to identify possible problem areas, and it’s not focused on discovering specific information about customers. As with any research, exploratory primary research should be conducted carefully. Researchers need to craft an interviewing or surveying plan, and gather enough respondents to ensure reasonable levels of statistical reliability.
Specific Primary Research – This type of research is one of the best ways to approach a problem because it relies on existing customer data. Specific research provides a deeper, more thorough understanding of the problem and its potential solutions. The greatest advantage of specific research is that it lets you explore a very specific question, and focus on a specific problem or an opportunity.

Secondary market research collects information from other sources such as databases, trend reports, market or government statistics, industry content, etc. We can divide secondary market research into 3 categories:

Public market data – Public sources range from academic journals and government reports to tax returns and court documents. These sources aren’t always easy to find. Many are available only in print in libraries and archives. You have to look beyond search engines like Google to find public source documents.
Commercial data – Those are typically created by specialized agencies like Pew, Gartner or Forrester. the research agencies are quite expensive, but they provide a lot of useful information.
Internal data – Your organization’s databases are gold mines for market research. In the best cases, your salespeople can tell you what they think about customers. Your salespeople are your direct sources of information about the market. Don’t underestimate your internal data.

In general, primary research is more reliable than secondary research, because researchers have to interview people directly. But primary research is expensive and time-consuming. Secondary research can be quicker and less expensive.

There are plenty of ways to conduct marketing research reports. Mostly, the type of research done will depend on your goals. Here are some types of market research often conducted by marketers.

Focus Groups

Product/service use research, observation-based research, buyer persona research, market segmentation research, pricing research, competitive analysis research, customer satisfaction and loyalty research, brand awareness research, campaign research.

An interview is an interactive process of asking and answering questions and observing your respondent’s responses. Interviews are one of the most commonly used tools in market research . An interview allows an organization to observe, in detail, how its consumers interact with its products and services. It also allows an organization to address specific questions.

A focus group is a group of people who get together to discuss a particular topic. A moderator leads the discussion and takes notes. The main benefit of focus groups is that they are quick and easy to conduct. You can gather a group of carefully-selected people, give them a product to try out, and get their feedback within a few hours/days.

Product or service use research helps you obtain useful information about your product or service such as:

What your current customers do with the product/service
Which features of the product/service are particularly important to your customers
What they dislike about the product/service
What they would change about the product/service

Observation-based research helps you to observe your target audience interacting with your product or service. You will see the interactions and which aspects work well and which could be improved. The main point is to directly experience the feedback from your target audience’s point of view.

Personas are an essential sales tool. By knowing your buyers’ pain points and the challenges they face, you can create better content, target messaging, and campaigns for them. Buyer persona research is based on market research, and it’s built around data that describes your customers’ demographics, behaviors, motivations, and concerns. Sales reporting software can significantly help you develop buyer personas when you gain insights after you collected all information.

Market segmentation research is carried out to better understand existing and potential market segments. The objective is to determine how to target different market segments and how they differ from each other. The three most important steps in writing a market segmentation research report are:

Defining the problem
Determining the solution [and]
Defining the market

Related : 9 Customer Segmentation Tips to Personalize Ecommerce Marketing and Drive More Sales

A price that is too high, or too low, can kill a business. And without good market research, you don’t really know what is a good price for your product. Pricing research helps you define your pricing strategy.

In a competitive analysis, you define your “competition” as any other entity that competes with you in your market, whether you’re selling a widget or a piece of real estate. With competitive analysis research, you can find out things like:

Who your competitors are
What they’ve done in the past
What’s working well for them
Their weaknesses
How they’re positioned in the market
How they market themselves
What they’re doing that you’re not

Related : How to Do an SEO Competitive Analysis: A Step-by-Step Guide

In today’s marketplace, companies are increasingly focused on customer loyalty. What your customers want is your product, but, more importantly, they want it delivered with a service that exceeds their expectations. Successful companies listen to their customers and respond accordingly. That’s why customer satisfaction and loyalty research is a critical component of that basic equation.

Related : 11 Tactics for Effectively Measuring Your Customer Service ROI

Who you are, what you stand for, what you offer, what you believe in, and what your audience thinks of you is all wrapped up in brand. Brand awareness research tells what your target audience knows about your brand and what’s their experience like.

A campaign research report is a detailed account of how your marketing campaign performed. It includes all the elements that went into creating the campaign: planning, implementation, and measurement.

Here are some of the top advantages and disadvantages of doing market research and crafting market research reports.

Identify business opportunities – A market research report can be used to analyze potential markets and new products. It can give information about customer needs, preferences, and attitudes. Also, it compare products and services.
A clear understanding of your customers – A market report gives company’s marketing department an in-depth picture about customers’ needs and wants. This knowledge can be used to improve products, prices, and advertising.
Mitigates risks – 30% of small businesses fail within the first two years. Why is this so? The answer is that entrepreneurs are risk takers. However, there are risks that could be avoided. A good marketing research will help you identify those risks and allow you to mitigate them.
Clear data-driven insights – Market research encompasses a wide range of activities, from determining market size and segment to forecasting demand, and from identifying competitors to monitoring pricing. All of these are quantified and measurable which means that gives you a clear path for building unique decisions based on numbers.

Disadvantages

It’s not cheap – Although market research can be done for as little as $500, large markets like the United States can run into millions of dollars. If a research is done for a specific product, the budget may be even much higher. The budget also depends on the quality of the research. The more expensive it is, the more time the research will take.
Some insights could be false – For example, if you are conducting a survey, data may be inadequate or inaccurate because respondents can, well, simply be dishonest and lie.

Here are the essential steps you need to take when doing market research:

Define your buyer persona

Identify a persona group to engage, prepare research questions for your market research participants, list your primary competitors, summarize your findings.

The job of a marketing persona is to describe your ideal customer and to tell you what they want, what motivates them, what frustrates them, and what limits them. Finding out these things means you have a better chance of designing your products, services, marketing messages, and brand around real customers. There is no one right way to create a buyer persona, though.

For example, if you’re in an industry focused on education, you could include things like:

Educational level
Education background

It’s recommended that you create 3-5 buyer personas for your products, based on your ideal customer.

This should be a representative sample of your target customers so you can better understand their behavior. You want to find people who fit both your target personas and who represent the broader demographic of your market. People who recently made a purchase or purposefully decided not to make one are a good sample to start with.

The questions you use determine the quality of your results. Of course, the quality of your results also depends on the quality of your participants.

Don’t ask questions that imply a yes or no answer. Instead, use open questions. For example, if you are researching customers about yogurt products, you could ask them: „ What have you heard about yogurt ?” or “ What do you think of yogurt ?“.

Avoid questions that use numbers, such as “ How many times a week do you eat yogurt ?”

Avoid questions that suggest a set of mutually exclusive answers, such as “ Do you like yogurt for breakfast, lunch, or dinner ?”

Avoid questions that imply a scale, such as “ Do you like chocolate-flavored yogurt ?”

Market researchers sometimes call one company the top competitor, another middle competitor, and the third one small competitor. However you classify them, you want to identify at least three companies in each category. Now, for each business on your list, list its key characteristics. For example, if your business sells running shoes, a key characteristic might be the product’s quality.

Next, make a list of your small business’s competitive advantages. These include the unique qualities or features of your business that make it the best choice of customers for the products or services it offers. Make a list of these competitive advantages and list them next to the key characteristics you listed for your business.

You have just finished writing your marketing research report. Everything is out there quantified or qualified. You just have to sum it up and focus on the most important details that are going to make a big impact on your decisions. Clear summary leads to a winning strategy!

Related : How to Prepare a Complete Marketing Report: The KPIs, Analysis, & Action Plan You Need

Here’s how to prepare a market research report in 5 simple steps:

Step 1: Cluster the data

Step 2: prepare an outline, step 3: mention the research methods, step 4: include visuals with narrative explanations, step 5: conclude the report with recommendations.

Your first step is to cluster all the available information into a manageable set. Clustering is the process of grouping information together in a way that emphasizes commonalities and minimizes differences. So, in market research, this will help to organize all the information you have about a product, service, or target market and identify your focus areas.

A marketing research report should be written so that other people can understand it:

Include background information at the beginning to explain who your audience is and what problem you are trying to solve for them.
In the body of the report, include a description of the methodology – Explain to the reader how your research was done, what was involved, and why you selected the methodology you used.
Also in the body of the report, include the results of your market research. These may be quantitative or qualitative, but either way they should answer the questions you posed at the beginning.
Include the executive summary – A summary of the entire report.

The market research methodology section includes details on the type of research, sample size, any limitations of the studies, research design, sample selection, data collection procedures, and statistical analyses used.

Visuals are an essential part of the presentation. Even the best-written text can be difficult to understand. Charts and graphs are easier to understand than text alone, and they help the reader see how the numbers fit the bigger picture.

But visuals are not the whole story. They are only one part of the presentation. Visuals are a cue for the reader. The narrative gives the story, not just the numbers.

Recommendations tend to follow logically from conclusions and are a response to a certain problem. The recommendation should always be relevant to the research rationale, that is, the recommendation should be based on the results of the research reported in the body of the report.

Now, let’s take a look at some dashboard reporting templates you could use to enhance your market research:

Semrush (Position Tracking) Report

Brand Awareness Report

Sales pipeline performance report, customer success overview report, stripe (mrr & churn) report, semrush (position tracking) report template.

This free SEMRush dashboard template will help you monitor how your website’s search visibility on search engines evolves on a monthly basis. This dashboard contains all of the information you need to make changes and improve the ranking results of your business in Google Search.

This Brand Awareness Report will help you to get a sense of your brand awareness performance in Google Analytics, Google Organic Search, and Facebook. Use this dashboard to track brand awareness the same way you track other marketing campaigns.

Are your sales and marketing funnel healthy and growing? How is your sales and marketing funnel performing? What are the key conversion rates between your lifecycle stages? With a pipeline performance dashboard , you’ll get all of the answers quickly.

This Customer Success Overview Dashboard allows you to analyze how your customer service team’s responsiveness impacts your business. Use this dashboard to assess the correlation between your customer service performance and churn rate.

Customer Success Overview Report Template

This Stripe dashboard tracks your churn rate and MRR growth in real-time and shows you which customers (and how many of them) you have at any given point in time. All you have to do to get started is to connect your Stripe account.

As we said earlier, there are no strict rules when it comes to writing marketing research reports. On the other hand, you must find your focus if you want to write a report that will make a difference. Here are some best practices you should keep in mind when writing a research report.

Objectives – The objective of a market research report is to define the problems, identify key issues, and suggest recommendations for further research. If you answer them successfully, you’re on the right way.
Don’t worry about the format – Be creative. The report could be in a form of a PowerPoint presentation, Excel sheet, interactive dashboard or even a video. Use the format that best fits your audience, but make sure to make it easy to read.
Include an executive summary, scorecard , or a dashboard – This is really important because time is money, and most people don’t have time to waste. So, how to put everything important in a short role? Address all of the objectives and put them in a graphic dashboard or scorecard. Also, you can write an executive summary template (heart of the report) that can be easily updated and read by managers or CEOs.
Use storytelling – A good story always makes a great point because it’s so memorable. Your research report results can double the effect with a catchy story.
Keep it short – It’s not a secret that we are reading so little in the digital era. Use a lot of white space and bullet points. Too much text on a page means less focus for the reader.
Be organized – Maintain the order of information. It’s important for the reader to navigate through the report easily. If they want to find some details or specific information it would be great to divide all sections with appropriate references.
Methodological information – Methodological details could be boring. Include only the most important details that the reader needs to know to understand the big picture.
Use images (or other visualizations) whenever you can – A good picture speaks for 1.000 words! If you can communicate the point visually, don’t hesitate to do it. It would be a lot easier for those who don’t like a lot of text to understand your results. But don’t push them where you can’t.
Create readable graphs – The crown of marketing research reports is a comprehensive graph. Make sure to design precise and attractive graphs that will power up and round your story.
Use the Appendix – You can include all secondary information such as methodological details and other miscellaneous data in the Appendix at the end of the report.

Market research reports are all about presenting your data in an easy-to-understand way and making calculated decisions about business ideas. But this is something easier said than done.

When busy stakeholders and executives grab a report, they need something that will give them an idea of the results – the big picture that addresses company wide-business goals.

Can a PowerPoint presentation or a PDF report meet those expectations? Most likely not. But a dashboard can.

Keep in mind that even with the best market analysis in the world, your market research report won’t be actionable if you don’t present the data efficiently and in a way that everyone understands what the next steps are. Databox is your key ally in the matter.

Databox dashboards are designed to help you present your market research data with clarity – from identifying what is influencing your business, and understanding where your brand is situated in the market, to gauging the temperature of your niche or industry before a new product/service launch.

Present your research results with efficient, interactive dashboards now by signing up for a free trial .

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Published: 08 May 2024

Exploring the dynamics of consumer engagement in social media influencer marketing: from the self-determination theory perspective

Chenyu Gu ORCID: orcid.org/0000-0001-6059-0573 1 &
Qiuting Duan 2

Humanities and Social Sciences Communications volume 11 , Article number: 587 ( 2024 ) Cite this article

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Business and management
Cultural and media studies

Influencer advertising has emerged as an integral part of social media marketing. Within this realm, consumer engagement is a critical indicator for gauging the impact of influencer advertisements, as it encompasses the proactive involvement of consumers in spreading advertisements and creating value. Therefore, investigating the mechanisms behind consumer engagement holds significant relevance for formulating effective influencer advertising strategies. The current study, grounded in self-determination theory and employing a stimulus-organism-response framework, constructs a general model to assess the impact of influencer factors, advertisement information, and social factors on consumer engagement. Analyzing data from 522 samples using structural equation modeling, the findings reveal: (1) Social media influencers are effective at generating initial online traffic but have limited influence on deeper levels of consumer engagement, cautioning advertisers against overestimating their impact; (2) The essence of higher-level engagement lies in the ad information factor, affirming that in the new media era, content remains ‘king’; (3) Interpersonal factors should also be given importance, as influencing the surrounding social groups of consumers is one of the effective ways to enhance the impact of advertising. Theoretically, current research broadens the scope of both social media and advertising effectiveness studies, forming a bridge between influencer marketing and consumer engagement. Practically, the findings offer macro-level strategic insights for influencer marketing.

Exploring the effects of audience and strategies used by beauty vloggers on behavioural intention towards endorsed brands

COBRAs and virality: viral campaign values on consumer behaviour

Exploring the impact of beauty vloggers’ credible attributes, parasocial interaction, and trust on consumer purchase intention in influencer marketing

Introduction.

Recent studies have highlighted an escalating aversion among audiences towards traditional online ads, leading to a diminishing effectiveness of traditional online advertising methods (Lou et al., 2019 ). In an effort to overcome these challenges, an increasing number of brands are turning to influencers as their spokespersons for advertising. Utilizing influencers not only capitalizes on their significant influence over their fan base but also allows for the dissemination of advertising messages in a more native and organic manner. Consequently, influencer-endorsed advertising has become a pivotal component and a growing trend in social media advertising (Gräve & Bartsch, 2022 ). Although the topic of influencer-endorsed advertising has garnered increasing attention from scholars, the field is still in its infancy, offering ample opportunities for in-depth research and exploration (Barta et al., 2023 ).

Presently, social media influencers—individuals with substantial follower bases—have emerged as the new vanguard in advertising (Hudders & Lou, 2023 ). Their tweets and videos possess the remarkable potential to sway the purchasing decisions of thousands if not millions. This influence largely hinges on consumer engagement behaviors, implying that the impact of advertising can proliferate throughout a consumer’s entire social network (Abbasi et al., 2023 ). Consequently, exploring ways to enhance consumer engagement is of paramount theoretical and practical significance for advertising effectiveness research (Xiao et al., 2023 ). This necessitates researchers to delve deeper into the exploration of the stimulating factors and psychological mechanisms influencing consumer engagement behaviors (Vander Schee et al., 2020 ), which is the gap this study seeks to address.

The Stimulus-Organism-Response (S-O-R) framework has been extensively applied in the study of consumer engagement behaviors (Tak & Gupta, 2021 ) and has been shown to integrate effectively with self-determination theory (Yang et al., 2019 ). Therefore, employing the S-O-R framework to investigate consumer engagement behaviors in the context of influencer advertising is considered a rational approach. The current study embarks on an in-depth analysis of the transformation process from three distinct dimensions. In the Stimulus (S) phase, we focus on how influencer factors, advertising message factors, and social influence factors act as external stimuli. This phase scrutinizes the external environment’s role in triggering consumer reactions. During the Organism (O) phase, the research explores the intrinsic psychological motivations affecting individual behavior as posited in self-determination theory. This includes the willingness for self-disclosure, the desire for innovation, and trust in advertising messages. The investigation in this phase aims to understand how these internal motivations shape consumer attitudes and perceptions in the context of influencer marketing. Finally, in the Response (R) phase, the study examines how these psychological factors influence consumer engagement behavior. This part of the research seeks to understand the transition from internal psychological states to actual consumer behavior, particularly how these states drive the consumers’ deep integration and interaction with the influencer content.

Despite the inherent limitations of cross-sectional analysis in capturing the full temporal dynamics of consumer engagement, this study seeks to unveil the dynamic interplay between consumers’ psychological needs—autonomy, competence, and relatedness—and their varying engagement levels in social media influencer marketing, grounded in self-determination theory. Through this lens, by analyzing factors related to influencers, content, and social context, we aim to infer potential dynamic shifts in engagement behaviors as psychological needs evolve. This approach allows us to offer a snapshot of the complex, multi-dimensional nature of consumer engagement dynamics, providing valuable insights for both theoretical exploration and practical application in the constantly evolving domain of social media marketing. Moreover, the current study underscores the significance of adapting to the dynamic digital environment and highlights the evolving nature of consumer engagement in the realm of digital marketing.

Literature review

Stimulus-organism-response (s-o-r) model.

The Stimulus-Response (S-R) model, originating from behaviorist psychology and introduced by psychologist Watson ( 1917 ), posits that individual behaviors are directly induced by external environmental stimuli. However, this model overlooks internal personal factors, complicating the explanation of psychological states. Mehrabian and Russell ( 1974 ) expanded this by incorporating the individual’s cognitive component (organism) into the model, creating the Stimulus-Organism-Response (S-O-R) framework. This model has become a crucial theoretical framework in consumer psychology as it interprets internal psychological cognitions as mediators between stimuli and responses. Integrating with psychological theories, the S-O-R model effectively analyzes and explains the significant impact of internal psychological factors on behavior (Koay et al., 2020 ; Zhang et al., 2021 ), and is extensively applied in investigating user behavior on social media platforms (Hewei & Youngsook, 2022 ). This study combines the S-O-R framework with self-determination theory to examine consumer engagement behaviors in the context of social media influencer advertising, a logic also supported by some studies (Yang et al., 2021 ).

Self-determination theory

Self-determination theory, proposed by Richard and Edward (2000), is a theoretical framework exploring human behavioral motivation and personality. The theory emphasizes motivational processes, positing that individual behaviors are developed based on factors satisfying their psychological needs. It suggests that individual behavioral tendencies are influenced by the needs for competence, relatedness, and autonomy. Furthermore, self-determination theory, along with organic integration theory, indicates that individual behavioral tendencies are also affected by internal psychological motivations and external situational factors.

Self-determination theory has been validated by scholars in the study of online user behaviors. For example, Sweet applied the theory to the investigation of community building in online networks, analyzing knowledge-sharing behaviors among online community members (Sweet et al., 2020 ). Further literature review reveals the applicability of self-determination theory to consumer engagement behaviors, particularly in the context of influencer marketing advertisements. Firstly, self-determination theory is widely applied in studying the psychological motivations behind online behaviors, suggesting that the internal and external motivations outlined within the theory might also apply to exploring consumer behaviors in influencer marketing scenarios (Itani et al., 2022 ). Secondly, although research on consumer engagement in the social media influencer advertising context is still in its early stages, some studies have utilized SDT to explore behaviors such as information sharing and electronic word-of-mouth dissemination (Astuti & Hariyawan, 2021 ). These behaviors, which are part of the content contribution and creation dimensions of consumer engagement, may share similarities in the underlying psychological motivational mechanisms. Thus, this study will build upon these foundations to construct the Organism (O) component of the S-O-R model, integrating insights from SDT to further understand consumer engagement in influencer marketing.

Consumer engagement

Although scholars generally agree at a macro level to define consumer engagement as the creation of additional value by consumers or customers beyond purchasing products, the specific categorization of consumer engagement varies in different studies. For instance, Simon and Tossan interpret consumer engagement as a psychological willingness to interact with influencers (Simon & Tossan, 2018 ). However, such a broad definition lacks precision in describing various levels of engagement. Other scholars directly use tangible metrics on social media platforms, such as likes, saves, comments, and shares, to represent consumer engagement (Lee et al., 2018 ). While this quantitative approach is not flawed and can be highly effective in practical applications, it overlooks the content aspect of engagement, contradicting the “content is king” principle of advertising and marketing. We advocate for combining consumer engagement with the content aspect, as content engagement not only generates more traces of consumer online behavior (Oestreicher-Singer & Zalmanson, 2013 ) but, more importantly, content contribution and creation are central to social media advertising and marketing, going beyond mere content consumption (Qiu & Kumar, 2017 ). Meanwhile, we also need to emphasize that engagement is not a fixed state but a fluctuating process influenced by ongoing interactions between consumers and influencers, mediated by the evolving nature of social media platforms and the shifting sands of consumer preferences (Pradhan et al., 2023 ). Consumer engagement in digital environments undergoes continuous change, reflecting a journey rather than a destination (Viswanathan et al., 2017 ).

The current study adopts a widely accepted definition of consumer engagement from existing research, offering operational feasibility and aligning well with the research objectives of this paper. Consumer engagement behaviors in the context of this study encompass three dimensions: content consumption, content contribution, and content creation (Muntinga et al., 2011 ). These dimensions reflect a spectrum of digital engagement behaviors ranging from low to high levels (Schivinski et al., 2016 ). Specifically, content consumption on social media platforms represents a lower level of engagement, where consumers merely click and read the information but do not actively contribute or create user-generated content. Some studies consider this level of engagement as less significant for in-depth exploration because content consumption, compared to other forms, generates fewer visible traces of consumer behavior (Brodie et al., 2013 ). Even in a study by Qiu and Kumar, it was noted that the conversion rate of content consumption is low, contributing minimally to the success of social media marketing (Qiu & Kumar, 2017 ).

On the other hand, content contribution, especially content creation, is central to social media marketing. When consumers comment on influencer content or share information with their network nodes, it is termed content contribution, representing a medium level of online consumer engagement (Piehler et al., 2019 ). Furthermore, when consumers actively upload and post brand-related content on social media, this higher level of behavior is referred to as content creation. Content creation represents the highest level of consumer engagement (Cheung et al., 2021 ). Although medium and high levels of consumer engagement are more valuable for social media advertising and marketing, this exploratory study still retains the content consumption dimension of consumer engagement behaviors.

Theoretical framework

Internal organism factors: self-disclosure willingness, innovativeness, and information trust.

In existing research based on self-determination theory that focuses on online behavior, competence, relatedness, and autonomy are commonly considered as internal factors influencing users’ online behaviors. However, this approach sometimes strays from the context of online consumption. Therefore, in studies related to online consumption, scholars often use self-disclosure willingness as an overt representation of autonomy, innovativeness as a representation of competence, and trust as a representation of relatedness (Mahmood et al., 2019 ).

The use of these overt variables can be logically explained as follows: According to self-determination theory, individuals with a higher level of self-determination are more likely to adopt compensatory mechanisms to facilitate behavior compared to those with lower self-determination (Wehmeyer, 1999 ). Self-disclosure, a voluntary act of sharing personal information with others, is considered a key behavior in the development of interpersonal relationships. In social environments, self-disclosure can effectively alleviate stress and build social connections, while also seeking societal validation of personal ideas (Altman & Taylor, 1973 ). Social networks, as para-social entities, possess the interactive attributes of real societies and are likely to exhibit similar mechanisms. In consumer contexts, personal disclosures can include voluntary sharing of product interests, consumption experiences, and future purchase intentions (Robertshaw & Marr, 2006 ). While material incentives can prompt personal information disclosure, many consumers disclose personal information online voluntarily, which can be traced back to an intrinsic need for autonomy (Stutzman et al., 2011 ). Thus, in this study, we consider the self-disclosure willingness as a representation of high autonomy.

Innovativeness refers to an individual’s internal level of seeking novelty and represents their personality and tendency for novelty (Okazaki, 2009 ). Often used in consumer research, innovative consumers are inclined to try new technologies and possess an intrinsic motivation to use new products. Previous studies have shown that consumers with high innovativeness are more likely to search for information on new products and share their experiences and expertise with others, reflecting a recognition of their own competence (Kaushik & Rahman, 2014 ). Therefore, in consumer contexts, innovativeness is often regarded as the competence dimension within the intrinsic factors of self-determination (Wang et al., 2016 ), with external motivations like information novelty enhancing this intrinsic motivation (Lee et al., 2015 ).

Trust refers to an individual’s willingness to rely on the opinions of others they believe in. From a social psychological perspective, trust indicates the willingness to assume the risk of being harmed by another party (McAllister, 1995 ). Widely applied in social media contexts for relational marketing, information trust has been proven to positively influence the exchange and dissemination of consumer information, representing a close and advanced relationship between consumers and businesses, brands, or advertising endorsers (Steinhoff et al., 2019 ). Consumers who trust brands or social media influencers are more willing to share information without fear of exploitation (Pop et al., 2022 ), making trust a commonly used representation of the relatedness dimension in self-determination within consumer contexts.

Construction of the path from organism to response: self-determination internal factors and consumer engagement behavior

Following the logic outlined above, the current study represents the internal factors of self-determination theory through three variables: self-disclosure willingness, innovativeness, and information trust. Next, the study explores the association between these self-determination internal factors and consumer engagement behavior, thereby constructing the link between Organism (O) and Response (R).

Self-disclosure willingness and consumer engagement behavior

In the realm of social sciences, the concept of self-disclosure willingness has been thoroughly examined from diverse disciplinary perspectives, encompassing communication studies, sociology, and psychology. Viewing from the lens of social interaction dynamics, self-disclosure is acknowledged as a fundamental precondition for the initiation and development of online social relationships and interactive engagements (Luo & Hancock, 2020 ). It constitutes an indispensable component within the spectrum of interactive behaviors and the evolution of interpersonal connections. Voluntary self-disclosure is characterized by individuals divulging information about themselves, which typically remains unknown to others and is inaccessible through alternative sources. This concept aligns with the tenets of uncertainty reduction theory, which argues that during interpersonal engagements, individuals seek information about their counterparts as a means to mitigate uncertainties inherent in social interactions (Lee et al., 2008 ). Self-disclosure allows others to gain more personal information, thereby helping to reduce the uncertainty in interpersonal relationships. Such disclosure is voluntary rather than coerced, and this sharing of information can facilitate the development of relationships between individuals (Towner et al., 2022 ). Furthermore, individuals who actively engage in social media interactions (such as liking, sharing, and commenting on others’ content) often exhibit higher levels of self-disclosure (Chu et al., 2023 ); additional research indicates a positive correlation between self-disclosure and online engagement behaviors (Lee et al., 2023 ). Taking the context of the current study, the autonomous self-disclosure willingness can incline social media users to read advertising content more attentively and share information with others, and even create evaluative content. Therefore, this paper proposes the following research hypothesis:

H1a: The self-disclosure willingness is positively correlated with content consumption in consumer engagement behavior.

H1b: The self-disclosure willingness is positively correlated with content contribution in consumer engagement behavior.

H1c: The self-disclosure willingness is positively correlated with content creation in consumer engagement behavior.

Innovativeness and consumer engagement behavior

Innovativeness represents an individual’s propensity to favor new technologies and the motivation to use new products, associated with the cognitive perception of one’s self-competence. Individuals with a need for self-competence recognition often exhibit higher innovativeness (Kelley & Alden, 2016 ). Existing research indicates that users with higher levels of innovativeness are more inclined to accept new product information and share their experiences and discoveries with others in their social networks (Yusuf & Busalim, 2018 ). Similarly, in the context of this study, individuals, as followers of influencers, signify an endorsement of the influencer. Driven by innovativeness, they may be more eager to actively receive information from influencers. If they find the information valuable, they are likely to share it and even engage in active content re-creation to meet their expectations of self-image. Therefore, this paper proposes the following research hypotheses:

H2a: The innovativeness of social media users is positively correlated with content consumption in consumer engagement behavior.

H2b: The innovativeness of social media users is positively correlated with content contribution in consumer engagement behavior.

H2c: The innovativeness of social media users is positively correlated with content creation in consumer engagement behavior.

Information trust and consumer engagement

Trust refers to an individual’s willingness to rely on the statements and opinions of a target object (Moorman et al., 1993 ). Extensive research indicates that trust positively impacts information dissemination and content sharing in interpersonal communication environments (Majerczak & Strzelecki, 2022 ); when trust is established, individuals are more willing to share their resources and less suspicious of being exploited. Trust has also been shown to influence consumers’ participation in community building and content sharing on social media, demonstrating cross-cultural universality (Anaya-Sánchez et al., 2020 ).

Trust in influencer advertising information is also a key predictor of consumers’ information exchange online. With many social media users now operating under real-name policies, there is an increased inclination to trust information shared on social media over that posted by corporate accounts or anonymously. Additionally, as users’ social networks partially overlap with their real-life interpersonal networks, extensive research shows that more consumers increasingly rely on information posted and shared on social networks when making purchase decisions (Wang et al., 2016 ). This aligns with the effectiveness goals of influencer marketing advertisements and the characteristics of consumer engagement. Trust in the content posted by influencers is considered a manifestation of a strong relationship between fans and influencers, central to relationship marketing (Kim & Kim, 2021 ). Based on trust in the influencer, which then extends to trust in their content, people are more inclined to browse information posted by influencers, share this information with others, and even create their own content without fear of exploitation or negative consequences. Therefore, this paper proposes the following research hypotheses:

H3a: Information trust is positively correlated with content consumption in consumer engagement behavior.

H3b: Information trust is positively correlated with content contribution in consumer engagement behavior.

H3c: Information trust is positively correlated with content creation in consumer engagement behavior.

Construction of the path from stimulus to organism: influencer factors, advertising information factors, social factors, and self-determination internal factors

Having established the logical connection from Organism (O) to Response (R), we further construct the influence path from Stimulus (S) to Organism (O). Revisiting the definition of influencer advertising in social media, companies, and brands leverage influencers on social media platforms to disseminate advertising content, utilizing the influencers’ relationships and influence over consumers for marketing purposes. In addition to consumer’s internal factors, elements such as companies, brands, influencers, and the advertisements themselves also impact consumer behavior. Although factors like the brand image perception of companies may influence consumer behavior, considering that in influencer marketing, companies and brands do not directly interact with consumers, this study prioritizes the dimensions of influencers and advertisements. Furthermore, the impact of social factors on individual cognition and behavior is significant, thus, the current study integrates influencers, advertisements, and social dimensions as the Stimulus (S) component.

Influencer factors: parasocial identification

Self-determination theory posits that relationships are one of the key motivators influencing individual behavior. In the context of social media research, users anticipate establishing a parasocial relationship with influencers, resembling real-life relationships. Hence, we consider the parasocial identification arising from users’ parasocial interactions with influencers as the relational motivator. Parasocial interaction refers to the one-sided personal relationship that individuals develop with media characters (Donald & Richard, 1956 ). During this process, individuals believe that the media character is directly communicating with them, creating a sense of positive intimacy (Giles, 2002 ). Over time, through repeated unilateral interactions with media characters, individuals develop a parasocial relationship, leading to parasocial identification. However, parasocial identification should not be directly equated with the concept of social identification in social identity theory. Social identification occurs when individuals psychologically de-individualize themselves, perceiving the characteristics of their social group as their own, upon identifying themselves as part of that group. In contrast, parasocial identification refers to the one-sided interactional identification with media characters (such as celebrities or influencers) over time (Chen et al., 2021 ). Particularly when individuals’ needs for interpersonal interaction are not met in their daily lives, they turn to parasocial interactions to fulfill these needs (Shan et al., 2020 ). Especially on social media, which is characterized by its high visibility and interactivity, users can easily develop a strong parasocial identification with the influencers they follow (Wei et al., 2022 ).

Parasocial identification and self-disclosure willingness

Theories like uncertainty reduction, personal construct, and social exchange are often applied to explain the emergence of parasocial identification. Social media, with its convenient and interactive modes of information dissemination, enables consumers to easily follow influencers on media platforms. They can perceive the personality of influencers through their online content, viewing them as familiar individuals or even friends. Once parasocial identification develops, this pleasurable experience can significantly influence consumers’ cognitions and thus their behavioral responses. Research has explored the impact of parasocial identification on consumer behavior. For instance, Bond et al. found that on Twitter, the intensity of users’ parasocial identification with influencers positively correlates with their continuous monitoring of these influencers’ activities (Bond, 2016 ). Analogous to real life, where we tend to pay more attention to our friends in our social networks, a similar phenomenon occurs in the relationship between consumers and brands. This type of parasocial identification not only makes consumers willing to follow brand pages but also more inclined to voluntarily provide personal information (Chen et al., 2021 ). Based on this logic, we speculate that a similar relationship may exist between social media influencers and their fans. Fans develop parasocial identification with influencers through social media interactions, making them more willing to disclose their information, opinions, and views in the comment sections of the influencers they follow, engaging in more frequent social interactions (Chung & Cho, 2017 ), even if the content at times may be brand or company-embedded marketing advertisements. In other words, in the presence of influencers with whom they have established parasocial relationships, they are more inclined to disclose personal information, thereby promoting consumer engagement behavior. Therefore, we propose the following research hypotheses:

H4: Parasocial identification is positively correlated with consumer self-disclosure willingness.

H4a: Self-disclosure willingness mediates the impact of parasocial identification on content consumption in consumer engagement behavior.

H4b: Self-disclosure willingness mediates the impact of parasocial identification on content contribution in consumer engagement behavior.

H4c: Self-disclosure willingness mediates the impact of parasocial identification on content creation in consumer engagement behavior.

Parasocial identification and information trust

Information Trust refers to consumers’ willingness to trust the information contained in advertisements and to place themselves at risk. These risks include purchasing products inconsistent with the advertised information and the negative social consequences of erroneously spreading this information to others, leading to unpleasant consumption experiences (Minton, 2015 ). In advertising marketing, gaining consumers’ trust in advertising information is crucial. In the context of influencer marketing on social media, companies, and brands leverage the social connection between influencers and their fans. According to cognitive empathy theory, consumers project their trust in influencers onto the products endorsed, explaining the phenomenon of ‘loving the house for the crow on its roof.’ Research indicates that parasocial identification with influencers is a necessary condition for trust development. Consumers engage in parasocial interactions with influencers on social media, leading to parasocial identification (Jin et al., 2021 ). Consumers tend to reduce their cognitive load and simplify their decision-making processes, thus naturally adopting a positive attitude and trust towards advertising information disseminated by influencers with whom they have established parasocial identification. This forms the core logic behind the success of influencer marketing advertisements (Breves et al., 2021 ); furthermore, as mentioned earlier, because consumers trust these advertisements, they are also willing to share this information with friends and family and even engage in content re-creation. Therefore, we propose the following research hypotheses:

H5: Parasocial identification is positively correlated with information trust.

H5a: Information trust mediates the impact of parasocial identification on content consumption in consumer engagement behavior.

H5b: Information trust mediates the impact of parasocial identification on content contribution in consumer engagement behavior.

H5c: Information trust mediates the impact of parasocial identification on content creation in consumer engagement behavior.

Influencer factors: source credibility

Source credibility refers to the degree of trust consumers place in the influencer as a source, based on the influencer’s reliability and expertise. Numerous studies have validated the effectiveness of the endorsement effect in advertising (Schouten et al., 2021 ). The Source Credibility Model, proposed by the renowned American communication scholar Hovland and the “Yale School,” posits that in the process of information dissemination, the credibility of the source can influence the audience’s decision to accept the information. The credibility of the information is determined by two aspects of the source: reliability and expertise. Reliability refers to the audience’s trust in the “communicator’s objective and honest approach to providing information,” while expertise refers to the audience’s trust in the “communicator being perceived as an effective source of information” (Hovland et al., 1953 ). Hovland’s definitions reveal that the interpretation of source credibility is not about the inherent traits of the source itself but rather the audience’s perception of the source (Jang et al., 2021 ). This differs from trust and serves as a precursor to the development of trust. Specifically, reliability and expertise are based on the audience’s perception; thus, this aligns closely with the audience’s perception of influencers (Kim & Kim, 2021 ). This credibility is a cognitive statement about the source of information.

Source credibility and self-disclosure willingness

Some studies have confirmed the positive impact of an influencer’s self-disclosure on their credibility as a source (Leite & Baptista, 2022 ). However, few have explored the impact of an influencer’s credibility, as a source, on consumers’ self-disclosure willingness. Undoubtedly, an impact exists; self-disclosure is considered a method to attempt to increase intimacy with others (Leite et al., 2022 ). According to social exchange theory, people promote relationships through the exchange of information in interpersonal communication to gain benefits (Cropanzano & Mitchell, 2005 ). Credibility, deriving from an influencer’s expertise and reliability, means that a highly credible influencer may provide more valuable information to consumers. Therefore, based on the social exchange theory’s logic of reciprocal benefits, consumers might be more willing to disclose their information to trustworthy influencers, potentially even expanding social interactions through further consumer engagement behaviors. Thus, we propose the following research hypotheses:

H6: Source credibility is positively correlated with self-disclosure willingness.

H6a: Self-disclosure willingness mediates the impact of Source credibility on content consumption in consumer engagement behavior.

H6b: Self-disclosure willingness mediates the impact of Source credibility on content contribution in consumer engagement behavior.

H6c: Self-disclosure willingness mediates the impact of Source credibility on content creation in consumer engagement behavior.

Source credibility and information trust

Based on the Source Credibility Model, the credibility of an endorser as an information source can significantly influence consumers’ acceptance of the information (Shan et al., 2020 ). Existing research has demonstrated the positive impact of source credibility on consumers. Djafarova, in a study based on Instagram, noted through in-depth interviews with 18 users that an influencer’s credibility significantly affects respondents’ trust in the information they post. This credibility is composed of expertise and relevance to consumers, and influencers on social media are considered more trustworthy than traditional celebrities (Djafarova & Rushworth, 2017 ). Subsequently, Bao and colleagues validated in the Chinese consumer context, based on the ELM model and commitment-trust theory, that the credibility of brand pages on Weibo effectively fosters consumer trust in the brand, encouraging participation in marketing activities (Bao & Wang, 2021 ). Moreover, Hsieh et al. found that in e-commerce contexts, the credibility of the source is a significant factor influencing consumers’ trust in advertising information (Hsieh & Li, 2020 ). In summary, existing research has proven that the credibility of the source can promote consumer trust. Influencer credibility is a significant antecedent affecting consumers’ trust in the advertised content they publish. In brand communities, trust can foster consumer engagement behaviors (Habibi et al., 2014 ). Specifically, consumers are more likely to trust the advertising content published by influencers with higher credibility (more expertise and reliability), and as previously mentioned, consumer engagement behavior is more likely to occur. Based on this, the study proposes the following research hypotheses:

H7: Source credibility is positively correlated with information trust.

H7a: Information trust mediates the impact of source credibility on content consumption in consumer engagement behavior.

H7b: Information trust mediates the impact of source credibility on content contribution in consumer engagement behavior.

H7c: Information trust mediates the impact of source credibility on content creation in consumer engagement behavior.

Advertising information factors: informative value

Advertising value refers to “the relative utility value of advertising information to consumers and is a subjective evaluation by consumers.” In his research, Ducoffe pointed out that in the context of online advertising, the informative value of advertising is a significant component of advertising value (Ducoffe, 1995 ). Subsequent studies have proven that consumers’ perception of advertising value can effectively promote their behavioral response to advertisements (Van-Tien Dao et al., 2014 ). Informative value of advertising refers to “the information about products needed by consumers provided by the advertisement and its ability to enhance consumer purchase satisfaction.” From the perspective of information dissemination, valuable advertising information should help consumers make better purchasing decisions and reduce the effort spent searching for product information. The informational aspect of advertising has been proven to effectively influence consumers’ cognition and, in turn, their behavior (Haida & Rahim, 2015 ).

Informative value and innovativeness

As previously discussed, consumers’ innovativeness refers to their psychological trait of favoring new things. Studies have shown that consumers with high innovativeness prefer novel and valuable product information, as it satisfies their need for newness and information about new products, making it an important factor in social media advertising engagement (Shi, 2018 ). This paper also hypothesizes that advertisements with high informative value can activate consumers’ innovativeness, as the novelty of information is one of the measures of informative value (León et al., 2009 ). Acquiring valuable information can make individuals feel good about themselves and fulfill their perception of a “novel image.” According to social exchange theory, consumers can gain social capital in interpersonal interactions (such as social recognition) by sharing information about these new products they perceive as valuable. Therefore, the current study proposes the following research hypothesis:

H8: Informative value is positively correlated with innovativeness.

H8a: Innovativeness mediates the impact of informative value on content consumption in consumer engagement behavior.

H8b: Innovativeness mediates the impact of informative value on content contribution in consumer engagement behavior.

H8c: Innovativeness mediates the impact of informative value on content creation in consumer engagement behavior.

Informative value and information trust

Trust is a multi-layered concept explored across various disciplines, including communication, marketing, sociology, and psychology. For the purposes of this paper, a deep analysis of different levels of trust is not undertaken. Here, trust specifically refers to the trust in influencer advertising information within the context of social media marketing, denoting consumers’ belief in and reliance on the advertising information endorsed by influencers. Racherla et al. investigated the factors influencing consumers’ trust in online reviews, suggesting that information quality and value contribute to increasing trust (Racherla et al., 2012 ). Similarly, Luo and Yuan, in a study based on social media marketing, also confirmed that the value of advertising information posted on brand pages can foster consumer trust in the content (Lou & Yuan, 2019 ). Therefore, by analogy, this paper posits that the informative value of influencer-endorsed advertising can also promote consumer trust in that advertising information. The relationship between trust in advertising information and consumer engagement behavior has been discussed earlier. Thus, the current study proposes the following research hypotheses:

H9: Informative value is positively correlated with information trust.

H9a: Information trust mediates the impact of informative value on content consumption in consumer engagement behavior.

H9b: Information trust mediates the impact of informative value on content contribution in consumer engagement behavior.

H9c: Information trust mediates the impact of informative value on content creation in consumer engagement behavior.

Advertising information factors: ad targeting accuracy

Ad targeting accuracy refers to the degree of match between the substantive information contained in advertising content and consumer needs. Advertisements containing precise information often yield good advertising outcomes. In marketing practice, advertisers frequently use information technology to analyze the characteristics of different consumer groups in the target market and then target their advertisements accordingly to achieve precise dissemination and, consequently, effective advertising results. The utility of ad targeting accuracy has been confirmed by many studies. For instance, in the research by Qiu and Chen, using a modified UTAUT model, it was demonstrated that the accuracy of advertising effectively promotes consumer acceptance of advertisements in WeChat Moments (Qiu & Chen, 2018 ). Although some studies on targeted advertising also indicate that overly precise ads may raise concerns about personal privacy (Zhang et al., 2019 ), overall, the accuracy of advertising information is effective in enhancing advertising outcomes and is a key element in the success of targeted advertising.

Ad targeting accuracy and information trust

In influencer marketing advertisements, due to the special relationship recognition between consumers and influencers, the privacy concerns associated with ad targeting accuracy are alleviated (Vrontis et al., 2021 ). Meanwhile, the informative value brought by targeting accuracy is highlighted. More precise advertising content implies higher informative value and also signifies that the advertising content is more worthy of consumer trust (Della Vigna, Gentzkow, 2010 ). As previously discussed, people are more inclined to read and engage with advertising content they trust and recognize. Therefore, the current study proposes the following research hypotheses:

H10: Ad targeting accuracy is positively correlated with information trust.

H10a: Information trust mediates the impact of ad targeting accuracy on content consumption in consumer engagement behavior.

H10b: Information trust mediates the impact of ad targeting accuracy on content contribution in consumer engagement behavior.

H10c: Information trust mediates the impact of ad targeting accuracy on content creation in consumer engagement behavior.

Social factors: subjective norm

The Theory of Planned Behavior, proposed by Ajzen ( 1991 ), suggests that individuals’ actions are preceded by conscious choices and are underlain by plans. TPB has been widely used by scholars in studying personal online behaviors, these studies collectively validate the applicability of TPB in the context of social media for researching online behaviors (Huang, 2023 ). Additionally, the self-determination theory, which underpins this chapter’s research, also supports the notion that individuals’ behavioral decisions are based on internal cognitions, aligning with TPB’s assertions. Therefore, this paper intends to select subjective norms from TPB as a factor of social influence. Subjective norm refers to an individual’s perception of the expectations of significant others in their social relationships regarding their behavior. Empirical research in the consumption field has demonstrated the significant impact of subjective norms on individual psychological cognition (Yang & Jolly, 2009 ). A meta-analysis by Hagger, Chatzisarantis ( 2009 ) even highlighted the statistically significant association between subjective norms and self-determination factors. Consequently, this study further explores its application in the context of influencer marketing advertisements on social media.

Subjective norm and self-disclosure willingness

In numerous studies on social media privacy, subjective norms significantly influence an individual’s self-disclosure willingness. Wirth et al. ( 2019 ) based on the privacy calculus theory, surveyed 1,466 participants and found that personal self-disclosure on social media is influenced by the behavioral expectations of other significant reference groups around them. Their research confirmed that subjective norms positively influence self-disclosure of information and highlighted that individuals’ cognitions and behaviors cannot ignore social and environmental factors. Heirman et al. ( 2013 ) in an experiment with Instagram users, also noted that subjective norms could promote positive consumer behavioral responses. Specifically, when important family members and friends highly regard social media influencers as trustworthy, we may also be more inclined to disclose our information to influencers and share this information with our surrounding family and friends without fear of disapproval. In our subjective norms, this is considered a positive and valuable interactive behavior, leading us to exhibit engagement behaviors. Based on this logic, we propose the following research hypotheses:

H11: Subjective norms are positively correlated with self-disclosure willingness.

H11a: Self-disclosure willingness mediates the impact of subjective norms on content consumption in consumer engagement behavior.

H11b: Self-disclosure willingness mediates the impact of subjective norms on content contribution in consumer engagement behavior.

H11c: Self-disclosure willingness mediates the impact of subjective norms on content creation in consumer engagement behavior.

Subjective norm and information trust

Numerous studies have indicated that subjective norms significantly influence trust (Roh et al., 2022 ). This can be explained by reference group theory, suggesting people tend to minimize the effort expended in decision-making processes, often looking to the behaviors or attitudes of others as a point of reference; for instance, subjective norms can foster acceptance of technology by enhancing trust (Gupta et al., 2021 ). Analogously, if a consumer’s social network generally holds positive attitudes toward influencer advertising, they are also more likely to trust the endorsed advertisement information, as it conserves the extensive effort required in gathering product information (Chetioui et al., 2020 ). Therefore, this paper proposes the following research hypotheses:

H12: Subjective norms are positively correlated with information trust.

H12a: Information trust mediates the impact of subjective norms on content consumption in consumer engagement behavior.

H12b: Information trust mediates the impact of subjective norms on content contribution in consumer engagement behavior.

H12c: Information trust mediates the impact of subjective norms on content creation in consumer engagement behavior.

Conceptual model

In summary, based on the Stimulus (S)-Organism (O)-Response (R) framework, this study constructs the external stimulus factors (S) from three dimensions: influencer factors (parasocial identification, source credibility), advertising information factors (informative value, Ad targeting accuracy), and social influence factors (subjective norms). This is grounded in social capital theory and the theory of planned behavior. drawing on self-determination theory, the current study constructs the individual psychological factors (O) using self-disclosure willingness, innovativeness, and information trust. Finally, the behavioral response (R) is constructed using consumer engagement, which includes content consumption, content contribution, and content creation, as illustrated in Fig. 1 .

Consumer engagement behavior impact model based on SOR framework.

Materials and methods

Participants and procedures.

The current study conducted a survey through the Wenjuanxing platform to collect data. Participants were recruited through social media platforms such as WeChat, Douyin, Weibo et al., as samples drawn from social media users better align with the research purpose of our research and ensure the validity of the sample. Before the survey commenced, all participants were explicitly informed about the purpose of this study, and it was made clear that volunteers could withdraw from the survey at any time. Initially, 600 questionnaires were collected, with 78 invalid responses excluded. The criteria for valid questionnaires were as follows: (1) Respondents must have answered “Yes” to the question, “Do you follow any influencers (internet celebrities) on social media platforms?” as samples not using social media or not following influencers do not meet the study’s objective, making this question a prerequisite for continuing the survey; (2) Respondents had to correctly answer two hidden screening questions within the questionnaire to ensure that they did not randomly select scores; (3) The total time taken to complete the questionnaire had to exceed one minute, ensuring that respondents had sufficient time to understand and thoughtfully answer each question; (4) Respondents were not allowed to choose the same score for eight consecutive questions. Ultimately, 522 valid questionnaires were obtained, with an effective rate of 87.00%, meeting the basic sample size requirements for research models (Gefen et al., 2011 ). Detailed demographic information of the study participants is presented in Table 1 .

Measurements

To ensure the validity and reliability of the data analysis results in this study, the measurement tools and scales used in this chapter were designed with reference to existing established research. The main variables in the survey questionnaire include parasocial identification, source credibility, informative value, ad targeting accuracy, subjective norms, self-disclosure willingness, innovativeness, information trust, content consumption, content contribution, and content creation. The measurement scale for parasocial identification was adapted from the research of Schramm and Hartmann, comprising 6 items (Schramm & Hartmann, 2008 ). The source credibility scale was combined from the studies of Cheung et al. and Luo & Yuan’s research in the context of social media influencer marketing, including 4 items (Cheung et al., 2009 ; Lou & Yuan, 2019 ). The scale for informative value was modified based on Voss et al.‘s research, consisting of 4 items (Voss et al., 2003 ). The ad targeting accuracy scale was derived from the research by Qiu Aimei et al., 2018 ) including 3 items. The subjective norm scale was adapted from Ajzen’s original scale, comprising 3 items (Ajzen, 2002 ). The self-disclosure willingness scale was developed based on Chu and Kim’s research, including 3 items (Chu & Kim, 2011 ). The innovativeness scale was formulated following the study by Sun et al., comprising 4 items (Sun et al., 2006 ). The information trust scale was created in reference to Chu and Choi’s research, including 3 items (Chu & Choi, 2011 ). The scales for the three components of social media consumer engagement—content consumption, content contribution, and content creation—were sourced from the research by Buzeta et al., encompassing 8 items in total (Buzeta et al., 2020 ).

All scales were appropriately revised for the context of social media influencer marketing. To avoid issues with scoring neutral attitudes, a uniform Likert seven-point scale was used for each measurement item (ranging from 1 to 7, representing a spectrum from ‘strongly disagree’ to ‘strongly agree’). After the overall design of the questionnaire was completed, a pre-test was conducted with 30 social media users to ensure that potential respondents could clearly understand the meaning of each question and that there were no obstacles to answering. This pre-test aimed to prevent any difficulties or misunderstandings in the questionnaire items. The final version of the questionnaire is presented in Table 2 .

Data analysis

Since the model framework of the current study is derived from theoretical deductions of existing research and, while logically constructed, does not originate from an existing research model, this study still falls under the category of exploratory research. According to the analysis suggestions of Hair and other scholars, in cases of exploratory research model frameworks, it is more appropriate to choose Smart PLS for Partial Least Squares Path Analysis (PLS) to conduct data analysis and testing of the research model (Hair et al., 2012 ).

Measurement of model

In this study, careful data collection and management resulted in no missing values in the dataset. This ensured the integrity and reliability of the subsequent data analysis. As shown in Table 3 , after deleting measurement items with factor loadings below 0.5, the final factor loadings of the measurement items in this study range from 0.730 to 0.964. This indicates that all measurement items meet the retention criteria. Additionally, the Cronbach’s α values of the latent variables range from 0.805 to 0.924, and all latent variables have Composite Reliability (CR) values greater than the acceptable value of 0.7, demonstrating that the scales of this study have passed the reliability test requirements (Hair et al., 2019 ). All latent variables in this study have Average Variance Extracted (AVE) values greater than the standard acceptance value of 0.5, indicating that the convergent validity of the variables also meets the standard (Fornell & Larcker, 1981 ). Furthermore, the results show that the Variance Inflation Factor (VIF) values for each factor are below 10, indicating that there are no multicollinearity issues with the scales in this study (Hair, 2009 ).

The current study then further verified the discriminant validity of the variables, with specific results shown in Table 4 . The square roots of the average variance extracted (AVE) values for all variables (bolded on the diagonal) are greater than the Pearson correlation coefficients between the variables, indicating that the discriminant validity of the scales in this study meets the required standards (Fornell & Larcker, 1981 ). Additionally, a single-factor test method was employed to examine common method bias in the data. The first unrotated factor accounted for 29.71% of the variance, which is less than the critical threshold of 40%. Therefore, the study passed the test and did not exhibit serious common method bias (Podsakoff et al., 2003 ).

To ensure the robustness and appropriateness of our structural equation model, we also conducted a thorough evaluation of the model fit. Initially, through PLS Algorithm calculations, the R 2 values of each variable were greater than the standard acceptance value of 0.1, indicating good predictive accuracy of the model. Subsequently, Blindfolding calculations were performed, and the results showed that the Stone-Geisser Q 2 values of each variable were greater than 0, demonstrating that the model of this study effectively predicts the relationships between variables (Dijkstra & Henseler, 2015 ). In addition, through CFA, we also obtained some indicator values, specifically, χ 2 /df = 2.528 < 0.3, RMSEA = 0.059 < 0.06, SRMR = 0.055 < 0.08. Given its sensitivity to sample size, we primarily focused on the CFI, TLI, and NFI values, CFI = 0.953 > 0.9, TLI = 0.942 > 0.9, and NFI = 0.923 > 0.9 indicating a good fit. Additionally, RMSEA values below 0.06 and SRMR values below 0.08 were considered indicative of a good model fit. These indices collectively suggested that our model demonstrates a satisfactory fit with the data, thereby reinforcing the validity of our findings.

Research hypothesis testing

The current study employed a Bootstrapping test with a sample size of 5000 on the collected raw data to explore the coefficients and significance of the paths in the research model. The final test data results of this study’s model are presented in Table 5 .

The current study employs S-O-R model as the framework, grounded in theories such as self-determination theory and theory of planned behavior, to construct an influence model of consumer engagement behavior in the context of social media influencer marketing. It examines how influencer factors, advertisement information factors, and social influence factors affect consumer engagement behavior by impacting consumers’ psychological cognitions. Using structural equation modeling to analyze collected data ( N = 522), it was found that self-disclosure willingness, innovativeness, and information trust positively influence consumer engagement behavior, with innovativeness having the largest impact on higher levels of engagement. Influencer factors, advertisement information factors, and social factors serve as effective external stimuli, influencing psychological motivators and, consequently, consumer engagement behavior. The specific research results are illustrated in Fig. 2 .

Tested structural model of consumer engagement behavior.

The impact of psychological motivators on different levels of consumer engagement: self-disclosure willingness, innovativeness, and information trust

The research analysis indicates that self-disclosure willingness and information trust are key drivers for content consumption (H1a, H2a validated). This aligns with previous findings that individuals with a higher willingness to disclose themselves show greater levels of engagement behavior (Chu et al., 2023 ); likewise, individuals who trust advertisement information are more inclined to engage with advertisement content (Kim, Kim, 2021 ). Moreover, our study finds that information trust has a stronger impact on content consumption, underscoring the importance of trust in the dissemination of advertisement information. However, no significant association was found between individual innovativeness and content consumption (H3a not validated).

Regarding the dimension of content contribution in consumer engagement, self-disclosure willingness, information trust, and innovativeness all positively impact it (H1b, H2b, and H3b all validated). This is consistent with earlier research findings that individuals with higher self-disclosure willingness are more likely to like, comment on, or share content posted by influencers on social media platforms (Towner et al., 2022 ); the conclusions of this paper also support that innovativeness is an important psychological driver for active participation in social media interactions (Kamboj & Sharma, 2023 ). However, at the level of consumer engagement in content contribution, while information trust also exerts a positive effect, its impact is the weakest, although information trust has the strongest impact on content consumption.

In social media advertising, the ideal outcome is the highest level of consumer engagement, i.e., content creation, meaning consumers actively join in brand content creation, seeing themselves as co-creators with the brand (Nadeem et al., 2021 ). Our findings reveal that self-disclosure willingness, innovativeness, and information trust all positively influence content creation (H1c, H2c, and H3c all validated). The analysis found that similar to the impact on content contribution, innovativeness has the most significant effect on encouraging individual content creation, followed by self-disclosure willingness, with information trust having the least impact.

In summary, while some previous studies have shown that self-disclosure willingness, innovativeness, and information trust are important factors in promoting consumer engagement (Chu et al., 2023 ; Nadeem et al., 2021 ; Geng et al., 2021 ), this study goes further by integrating and comparing all three within the same research framework. It was found that to trigger higher levels of consumer engagement behavior, trust is not the most crucial psychological motivator; rather, the most effective method is to stimulate consumers’ innovativeness, thus complementing previous research. Subsequently, this study further explores the impact of different stimulus factors on various psychological motivators.

The influence of external stimulus factors on psychological motivators: influencer factors, advertisement information factors, and social factors

The current findings indicate that influencer factors, such as parasocial identification and source credibility, effectively enhance consumer engagement by influencing self-disclosure willingness and information trust. This aligns with prior research highlighting the significance of parasocial identification (Shan et al., 2020 ). Studies suggest parasocial identification positively impacts consumer engagement by boosting self-disclosure willingness and information trust (validated H4a, H4b, H4c, and H5a), but not content contribution or creation through information trust (H5b, H5c not validated). Source credibility’s influence on self-disclosure willingness was not significant (H6 not validated), thus negating the mediating effect of self-disclosure willingness (H6a, H6b, H6c not validated). Influencer credibility mainly affects engagement through information trust (H7a, H7b, H7c validated), supporting previous findings (Shan et al., 2020 ).

Advertisement factors (informative value and ad targeting accuracy) promote engagement through innovativeness and information trust. Informative value significantly impacts higher-level content contribution and creation through innovativeness (H8b, H8c validated), while ad targeting accuracy influences consumer engagement at all levels mainly through information trust (H10a, H10b, H10c validated).

Social factors (subjective norms) enhance self-disclosure willingness and information trust, consistent with previous research (Wirth et al., 2019 ; Gupta et al., 2021 ), and further promote consumer engagement across all levels (H11a, H11b, H11c, H12a, H12b, and H12c all validated).

In summary, influencer, advertisement, and social factors impact consumer engagement behavior by influencing psychological motivators, with influencer factors having the greatest effect on content consumption, advertisement content factors significantly raising higher-level consumer engagement through innovativeness, and social factors also influencing engagement through self-disclosure willingness and information trust.

Implication

From a theoretical perspective, current research presents a comprehensive model of consumer engagement within the context of influencer advertising on social media. This model not only expands the research horizon in the fields of social media influencer advertising and consumer engagement but also serves as a bridge between two crucial themes in new media advertising studies. Influencer advertising has become an integral part of social media advertising, and the construction of a macro model aids researchers in understanding consumer psychological processes and behavioral patterns. It also assists advertisers in formulating more effective strategies. Consumer engagement, focusing on the active role of consumers in disseminating information and the long-term impact on advertising effectiveness, aligns more closely with the advertising effectiveness measures in the new media context than traditional advertising metrics. However, the intersection of these two vital themes lacks comprehensive research and a universal model. This study constructs a model that elucidates the effects of various stimuli on consumer psychology and engagement behaviors, exploring the connections and mechanisms through different mediating pathways. By differentiating levels of engagement, the study offers more nuanced conclusions for diverse advertising objectives. Furthermore, this research validates the applicability of self-determination theory in the context of influencer advertising effectiveness. While this psychological theory has been utilized in communication behavior research, its effectiveness in the field of advertising requires further exploration. The current study introduces self-determination theory into the realm of influencer advertising and consumer engagement, thereby expanding its application in the field of advertising communication. It also responds to the call from the advertising and marketing academic community to incorporate more psychological theories to explain the ‘black box’ of consumer psychology. The inclusion of this theory re-emphasizes the people-centric approach of this research and highlights the primary role of individuals in advertising communication studies.

From a practical perspective, this study provides significant insights for adapting marketing strategies to the evolving media landscape and the empowered role of audiences. Firstly, in the face of changes in the communication environment and the empowerment of audience communication capabilities, traditional marketing approaches are becoming inadequate for new media advertising needs. Traditional advertising focuses on direct, point-to-point effects, whereas social media advertising aims for broader, point-to-mass communication, leveraging audience proactivity to facilitate the viral spread of content across online social networks. Secondly, for brands, the general influence model proposed in this study offers guidance for influencer advertising strategy. If the goal is to maximize reach and brand recognition with a substantial advertising budget, partnering with top influencers who have a large following can be an effective strategy. However, if the objective is to maximize cost-effectiveness with a limited budget by leveraging consumer initiative for secondary spread, the focus should be on designing advertising content that stimulates consumer creativity and willingness to innovate. Thirdly, influencers are advised to remain true to their followers. In influencer marketing, influencers attract advertisers through their influence over followers, converting this influence into commercial gain. This influence stems from the trust followers place in the influencer, thus influencers should maintain professional integrity and prioritize the quality of information they share, even when presented with advertising opportunities. Lastly, influencers should assert more control over their relationships with advertisers. In traditional advertising, companies and brands often exert significant control over the content. However, in the social media era, influencers should negotiate more creative freedom in their advertising partnerships, asserting a more equal relationship with advertisers. This approach ensures that content quality remains high, maintaining the trust influencers have built with their followers.

Limitations and future directions

while this study offers valuable insights into the dynamics of influencer marketing and consumer engagement on social media, several limitations should be acknowledged: Firstly, constrained by the research objectives and scope, this study’s proposed general impact model covers three dimensions: influencers, advertisement information, and social factors. However, these dimensions are not limited to the five variables discussed in this paper. Therefore, we call for future research to supplement and explore more crucial factors. Secondly, in the actual communication environment, there may be differences in the impact of communication effectiveness across various social media platforms. Thus, future research could also involve comparative studies and explorations between different social media platforms. Thirdly, the current study primarily examines the direct effects of various factors on consumer engagement. However, the potential interaction effects between these variables (e.g., how influencers’ credibility might interact with advertisement information quality) are not extensively explored. Future research could investigate these complex interrelationships for a more holistic understanding. Lastly, our study, being cross-sectional, offers preliminary insights into the complex and dynamic nature of engagement between social media influencers and consumers, yet it does not incorporate the temporal dimension. The diverse impacts of psychological needs on engagement behaviors hint at an underlying dynamism that merits further investigation. Future research should consider employing longitudinal designs to directly observe how these dynamics evolve over time.

The findings of the current study not only theoretically validate the applicability of self-determination theory in the field of social media influencer marketing advertising research but also broaden the scope of advertising effectiveness research from the perspective of consumer engagement. Moreover, the research framework offers strategic guidance and reference for influencer marketing strategies. The main conclusions of this study can be summarized as follows.

Innovativeness is the key factor in high-level consumer engagement behavior. Content contribution represents a higher level of consumer engagement compared to content consumption, as it not only requires consumers to dedicate attention to viewing advertising content but also to share this information across adjacent nodes within their social networks. This dissemination of information is a pivotal factor in the success of influencer marketing advertisements. Hence, companies and brands prioritize consumers’ content contribution over mere viewing of advertising content (Qiu & Kumar, 2017 ). Compared to content consumption and contribution, content creation is considered the highest level of consumer engagement, where consumers actively create and upload brand-related content, and it represents the most advanced outcome sought by enterprises and brands in advertising campaigns (Cheung et al., 2021 ). The current study posits that to pursue better outcomes in social media influencer advertising marketing, enhancing consumers’ willingness for self-disclosure, innovativeness, and trust in advertising information are effective strategies. However, the crux lies in leveraging the consumer’s subjective initiative, particularly in boosting their innovativeness. If the goal is simply to achieve content consumption rather than higher levels of consumer engagement, the focus should be on fostering trust in advertising information. There is no hierarchy in the efficacy of different strategies; they should align with varying marketing contexts and advertising objectives.

The greatest role of social media influencers lies in attracting online traffic. information trust is the core element driving content consumption, and influencer factors mainly affect consumer engagement behaviors through information trust. Therefore, this study suggests that the primary role of influencers in social media advertising is to attract online traffic, i.e., increase consumer behavior regarding ad content consumption (reducing avoidance of ad content), and help brands achieve the initial goal of making consumers “see and complete ads.” However, their impact on further high-level consumer engagement behaviors is limited. This mechanism serves as a reminder to advertisers not to overestimate the effects of influencers in marketing. Currently, top influencers command a significant portion of the ad budget, which could squeeze the budget for other aspects of advertising, potentially affecting the overall effectiveness of the campaign. Businesses and brands should consider deeper strategic implications when planning their advertising campaigns.

Valuing Advertising Information Factors, Content Remains King. Our study posits that in the social media influencer marketing context, the key to enhancing consumer contribution and creation of advertising content lies primarily in the advertising information factors. In other words, while content consumption is important, advertisers should objectively assess the role influencers play in advertising. In the era of social media, content remains ‘king’ in advertising. This view indirectly echoes the points made in the previous paragraph: influencers effectively perform initial ‘online traffic generation’ tasks in social media, but this role should not be overly romanticized or exaggerated. Whether it’s companies, brands, or influencers, providing consumers with advertisements rich in informational value is crucial to achieving better advertising outcomes and potentially converting consumers into stakeholders.

Subjective norm is an unignorable social influence factor. Social media is characterized by its network structure of information dissemination, where a node’s information is visible to adjacent nodes. For instance, if user A likes a piece of content C from influencer I, A’s follower B, who may not follow influencer I, can still see content C via user A’s page. The aim of marketing in the social media era is to influence a node and then spread the information to adjacent nodes, either secondarily or multiple times (Kumar & Panda, 2020 ). According to the Theory of Planned Behavior, an individual’s actions are influenced by significant others in their lives, such as family and friends. Previous studies have proven the effectiveness of the Theory of Planned Behavior in influencing attitudes toward social media advertising (Ranjbarian et al., 2012 ). Current research further confirms that subjective norms also influence consumer engagement behaviors in influencer marketing on social media. Therefore, in advertising practice, brands should not only focus on individual consumers but also invest efforts in groups that can influence consumer decisions. Changing consumer behavior in the era of social media marketing doesn’t solely rely on the company’s efforts.

As communication technology advances, media platforms will further empower individual communicative capabilities, moving beyond the era of the “magic bullet” theory. The distinction between being a recipient and a transmitter of information is increasingly blurred. In an era where everyone is both an audience and an influencer, research confined to the role of the ‘recipient’ falls short of addressing the dynamics of ‘transmission’. Future research in marketing and advertising should thus focus more on the power of individual transmission. Furthermore, as Marshall McLuhan famously said, “the medium is the extension of man.” The evolution of media technology remains human-centric. Accordingly, future marketing research, while paying heed to media transformations, should emphasize the centrality of the ‘human’ element.

Data availability

The datasets generated and/or analyzed during the current study are not publicly available due to privacy issues. Making the full data set publicly available could potentially breach the privacy that was promised to participants when they agreed to take part, and may breach the ethics approval for the study. The data are available from the corresponding author on reasonable request.

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Acknowledgements

The authors thank all the participants of this study. The participants were all informed about the purpose and content of the study and voluntarily agreed to participate. The participants were able to stop participating at any time without penalty. Funding for this study was provided by Minjiang University Research Start-up Funds (No. 324-32404314).

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Conceptualization: CG; methodology: CG and QD; software: CG and QD; validation: CG; formal analysis: CG and QD; investigation: CG and QD; resources: CG; data curation: CG and QD; writing—original draft preparation: CG; writing—review and editing: CG; visualization: CG; project administration: CG. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Chenyu Gu .

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Gu, C., Duan, Q. Exploring the dynamics of consumer engagement in social media influencer marketing: from the self-determination theory perspective. Humanit Soc Sci Commun 11 , 587 (2024). https://doi.org/10.1057/s41599-024-03127-w

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Research Paper Conclusion – Writing Guide and Examples

Research Paper Conclusion

Parts of Research Paper Conclusion

Restatement of the Thesis

Summary of Key Findings

Implications and Significance

Limitations and Recommendations

Concluding Statement

How to Write Research Paper Conclusion

Example of Research Paper Conclusion

Purpose of Research Paper Conclusion

When to Write Research Paper Conclusion

Characteristics of Research Paper Conclusion

Advantages of Research Paper Conclusion

Limitations of Research Paper Conclusion

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Writing a Research Paper Conclusion - Step-by-Step Guide

What is a Research Paper Conclusion?

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How to Write a Research Paper Conclusion: 7 Steps

Step 1: Restate the Research Problem

Step 2: Revisit Your Thesis Statement

Step 3: Summarize Key Points

Step 4: Discuss the Implications

Step 5: Connect with the Introduction

Step 6: Consider the "So What?" Factor

Step 7: End with a Strong Closing Statement:

Research Paper Conclusion Examples

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How to Write a Conclusion for a Research Paper

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Analytical Research Paper Conclusion

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How to write a conclusion for a research paper

1. Remember about the main topic

2. Reaffirm your thesis

3. Sum important points in a summary

4. Emphasize the importance

5. Finish up your argument

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