how to write research implications

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How to Write an “Implications of Research” Section

4-minute read

• 24th October 2022

When writing research papers , theses, journal articles, or dissertations, one cannot ignore the importance of research. You’re not only the writer of your paper but also the researcher ! Moreover, it’s not just about researching your topic, filling your paper with abundant citations, and topping it off with a reference list. You need to dig deep into your research and provide related literature on your topic. You must also discuss the implications of your research.

Interested in learning more about implications of research? Read on! This post will define these implications, why they’re essential, and most importantly, how to write them. If you’re a visual learner, you might enjoy this video .

What Are Implications of Research?

Implications are potential questions from your research that justify further exploration. They state how your research findings could affect policies, theories, and/or practices.

Implications can either be practical or theoretical. The former is the direct impact of your findings on related practices, whereas the latter is the impact on the theories you have chosen in your study.

Example of a practical implication: If you’re researching a teaching method, the implication would be how teachers can use that method based on your findings.

Example of a theoretical implication: You added a new variable to Theory A so that it could cover a broader perspective.

Finally, implications aren’t the same as recommendations, and it’s important to know the difference between them .

Questions you should consider when developing the implications section:

●  What is the significance of your findings?

●  How do the findings of your study fit with or contradict existing research on this topic?

●  Do your results support or challenge existing theories? If they support them, what new information do they contribute? If they challenge them, why do you think that is?

Why Are Implications Important?

You need implications for the following reasons:

● To reflect on what you set out to accomplish in the first place

● To see if there’s a change to the initial perspective, now that you’ve collected the data

● To inform your audience, who might be curious about the impact of your research

How to Write an Implications Section

Usually, you write your research implications in the discussion section of your paper. This is the section before the conclusion when you discuss all the hard work you did. Additionally, you’ll write the implications section before making recommendations for future research.

Implications should begin with what you discovered in your study, which differs from what previous studies found, and then you can discuss the implications of your findings.

Your implications need to be specific, meaning you should show the exact contributions of your research and why they’re essential. They should also begin with a specific sentence structure.

Examples of starting implication sentences:

●  These results build on existing evidence of…

●  These findings suggest that…

●  These results should be considered when…

●  While previous research has focused on x , these results show that y …

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You should write your implications after you’ve stated the results of your research. In other words, summarize your findings and put them into context.

The result : One study found that young learners enjoy short activities when learning a foreign language.

The implications : This result suggests that foreign language teachers use short activities when teaching young learners, as they positively affect learning.

 Example 2

The result : One study found that people who listen to calming music just before going to bed sleep better than those who watch TV.

The implications : These findings suggest that listening to calming music aids sleep quality, whereas watching TV does not.

To summarize, remember these key pointers:

●  Implications are the impact of your findings on the field of study.

●  They serve as a reflection of the research you’ve conducted.              

●  They show the specific contributions of your findings and why the audience should care.

●  They can be practical or theoretical.

●  They aren’t the same as recommendations.

●  You write them in the discussion section of the paper.

●  State the results first, and then state their implications.

Are you currently working on a thesis or dissertation? Once you’ve finished your paper (implications included), our proofreading team can help ensure that your spelling, punctuation, and grammar are perfect. Consider submitting a 500-word document for free.

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• Manuscript Preparation

What are Implications in Research?

• 3 minute read
• 105.1K views

Table of Contents

Manuscripts that do not mention the implications of the study are often desk-rejected by journals. What constitutes the ‘implications’ of research, and why is it important to include research implications in your manuscript?

Research implications: An overview

Once you have laid out the key findings in your paper, you have to discuss how they will likely impact the world. What is the significance of your study to policymakers, the lay person, or other researchers? This speculation, made in good faith, constitutes your study’ implications.

A research paper that does not explain the study’s importance in light of its findings exists in a vacuum. The paper may be relevant to you, the author, and some of your co-workers. But it is unclear how others will benefit from reading it.

How can the findings of your study help create a better world? What can we infer from your conclusion about the current state of research in your field or the quality of methods you employed? These are all important implications of your study.

You cannot predict how your study will influence the world or research in the future. You can only make reasonable speculations. In order to ensure that the implications are reasonable, you have to be mindful of the limitations of your study.

In the research context, only speculations supported by data count as valid implications. If the implications you draw do not logically follow the key findings of your study, they may sound overblown or outright preposterous.

Suppose your study evaluated the effects of a new drug in the adult population. In that case, you could not honestly speculate on how the drug will impact paediatric care. Thus, the implications you draw from your study cannot exceed its scope.

Practical implications

Imagine that your study found a popular type of cognitive therapy to be ineffective in treating insomnia. Your findings imply that psychologists using this type of therapy were not seeing actual results but an expectancy effect. Studies that can potentially impact real-world problems by prompting policy change or change in treatments have practical implications.

It can be helpful to understand the difference between an implication of your study and a recommendation. Suppose your study compares two or more types of therapy, ranks them in the order of effectiveness, and explicitly asks clinicians to follow the most effective type. The suggestion made in the end constitutes a ‘recommendation’ and not an ‘implication’.

Theoretical implications

Are your findings in line with previous research? Did your results validate the methods used in previous research or invalidate them? Has your study discovered a new and helpful way to do experiments? Speculations on how your findings can potentially impact research in your field of study are theoretical implications.

The main difference between practical and theoretical implications is that theoretical implications may not be readily helpful to policymakers or the public.

How to Write Implications in Research

Implications usually form an essential part of the conclusion section of a research paper. As we have mentioned in a previous article, this section starts by summarising your work, but this time emphasises your work’s significance .

While writing the implications, it is helpful to ask, “who will benefit the most from reading my paper?”—policymakers, physicians, the public, or other researchers. Once you know your target population, explain how your findings can help them.

Think about how the findings in your study are similar or dissimilar to the findings of previous studies. Your study may reaffirm or disprove the results of other studies. This is an important implication.

Suggest future directions for research in the subject area in light of your findings or further research to confirm your findings. These are also crucial implications.

Do not try to exaggerate your results, and make sure your tone reflects the strength of your findings. If the implications mentioned in your paper are convincing, it can improve visibility for your work and spur similar studies in your field.

For more information on the importance of implications in research, and guidance on how to include them in your manuscript, visit Elsevier Author Services now!

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Implications in research: A quick guide

Last updated

11 January 2024

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Short on time? Get an AI generated summary of this article instead

Implications are a bridge between data and action, giving insight into the effects of the research and what it means. It's a chance for researchers to explain the  why  behind the research. 

When writing a research paper , reviewers will want to see you clearly state the implications of your research. If it's missing, they’ll likely reject your article. 

Let's explore what research implications are, why they matter, and how to include them in your next article or research paper. 

• What are implications in research?

Research implications are the consequences of research findings. They go beyond results and explore your research’s ramifications. 

Researchers can connect their research to the real-world impact by identifying the implications. These can inform further research, shape policy, or spark new solutions to old problems. 

Always clearly state your implications so they’re obvious to the reader. Never leave the reader to guess why your research matters. While it might seem obvious to you, it may not be evident to someone who isn't a subject matter expert. 

For example, you may do important sociological research with political implications. If a policymaker can't understand or connect those implications logically with your research, it reduces your impact.

• What are the key features of implications?

When writing your implications, ensure they have these key features: 

Implications should be clear, concise, and easily understood by a broad audience. You'll want to avoid overly technical language or jargon. Clearly stating your implications increases their impact and accessibility. 

Implications should link to specific results within your research to ensure they’re grounded in reality. You want them to demonstrate an impact on a particular field or research topic . 

Evidence-based

Give your implications a solid foundation of evidence. They need to be rational and based on data from your research, not conjecture. An evidence-based approach to implications will lend credibility and validity to your work.

Implications should take a balanced approach, considering the research's potential positive and negative consequences. A balanced perspective acknowledges the challenges and limitations of research and their impact on stakeholders. 

Future-oriented

Don't confine your implications to their immediate outcomes. You can explore the long-term effects of the research, including the impact on future research, policy decisions, and societal changes. Looking beyond the immediate adds more relevance to your research. 

When your implications capture these key characteristics, your research becomes more meaningful, impactful, and engaging. 

• Types of implications in research

The implications of your research will largely depend on what you are researching. 

However, we can broadly categorize the implications of research into two types: 

Practical: These implications focus on real-world applications and could improve policies and practices.

Theoretical: These implications are broader and might suggest changes to existing theories of models of the world. 

You'll first consider your research's implications in these two broad categories. Will your key findings have a real-world impact? Or are they challenging existing theories? 

Once you've established whether the implications are theoretical or practical, you can break your implication into more specific types. This might include: 

Political implications: How findings influence governance, policies, or political decisions

Social implications: Effects on societal norms, behaviors, or cultural practices

Technological implications: Impact on technological advancements or innovation

Clinical implications: Effects on healthcare, treatments, or medical practices

Commercial or business-relevant implications: Possible strategic paths or actions

Implications for future research: Guidance for future research, such as new avenues of study or refining the study methods

When thinking about the implications of your research, keep them clear and relevant. Consider the limitations and context of your research. 

For example, if your study focuses on a specific population in South America, you may not be able to claim the research has the same impact on the global population. The implication may be that we need further research on other population groups. 

• Understanding recommendations vs. implications

While "recommendations" and "implications" may be interchangeable, they have distinct roles within research.

Recommendations suggest action. They are specific, actionable suggestions you could take based on the research. Recommendations may be a part of the larger implication. 

Implications explain consequences. They are broader statements about how the research impacts specific fields, industries, institutions, or societies. 

Within a paper, you should always identify your implications before making recommendations. 

While every good research paper will include implications of research, it's not always necessary to include recommendations. Some research could have an extraordinary impact without real-world recommendations. 

• How to write implications in research

Including implications of research in your article or journal submission is essential. You need to clearly state your implications to tell the reviewer or reader why your research matters. 

Because implications are so important, writing them can feel overwhelming.

Here’s our step-by-step guide to make the process more manageable:

1. Summarize your key findings

Start by summarizing your research and highlighting the key discoveries or emerging patterns. This summary will become the foundation of your implications. 

2. Identify the implications

Think critically about the potential impact of your key findings. Consider how your research could influence practices, policies, theories, or societal norms. 

Address the positive and negative implications, and acknowledge the limitations and challenges of your research. 

If you still need to figure out the implications of your research, reread your introduction. Your introduction should include why you’re researching the subject and who might be interested in the results. This can help you consider the implications of your final research. 

3. Consider the larger impact

Go beyond the immediate impact and explore the implications on stakeholders outside your research group. You might include policymakers, practitioners, or other researchers.

4. Support with evidence

Cite specific findings from your research that support the implications. Connect them to your original thesis statement. 

You may have included why this research matters in your introduction, but now you'll want to support that implication with evidence from your research. 

Your evidence may result in implications that differ from the expected impact you cited in the introduction of your paper or your thesis statement. 

5. Review for clarity

Review your implications to ensure they are clear, concise, and jargon-free. Double-check that your implications link directly to your research findings and original thesis statement. 

Following these steps communicates your research implications effectively, boosting its long-term impact. 

Where do implications go in your research paper?

Implications often appear in the discussion section of a research paper between the presentation of findings and the conclusion. 

Putting them here allows you to naturally transition from the key findings to why the research matters. You'll be able to convey the larger impact of your research and transition to a conclusion.

• Examples of research implications

Thinking about and writing research implications can be tricky. 

To spark your critical thinking skills and articulate implications for your research, here are a few hypothetical examples of research implications: 

Teaching strategies

A study investigating the effectiveness of a new teaching method might have practical implications for educators. 

The research might suggest modifying current teaching strategies or changing the curriculum’s design. 

There may be an implication for further research into effective teaching methods and their impact on student testing scores. 

Social media impact

A research paper examines the impact of social media on teen mental health. 

Researchers find that spending over an hour on social media daily has significantly worse mental health effects than 15 minutes. 

There could be theoretical implications around the relationship between technology and human behavior. There could also be practical implications in writing responsible social media usage guidelines. 

Disease prevalence

A study analyzes the prevalence of a particular disease in a specific population. 

The researchers find this disease occurs in higher numbers in mountain communities. This could have practical implications on policy for healthcare allocation and resource distribution. 

There may be an implication for further research into why the disease appears in higher numbers at higher altitudes.

These examples demonstrate the considerable range of implications that research can generate.

Clearly articulating the implications of research allows you to enhance the impact and visibility of your work as a researcher. It also enables you to contribute to societal advancements by sharing your knowledge.

The implications of your work could make positive changes in the world around us.

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Research Implications & Recommendations

A Plain-Language Explainer With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | May 2024

The research implications and recommendations are closely related but distinctly different concepts that often trip students up. Here, we’ll unpack them using plain language and loads of examples , so that you can approach your project with confidence.

Overview: Implications & Recommendations

• What are research implications ?
• What are research recommendations ?
• Examples of implications and recommendations
• The “ Big 3 ” categories
• How to write the implications and recommendations
• Template sentences for both sections
• Key takeaways

Implications & Recommendations 101

Let’s start with the basics and define our terms.

At the simplest level, research implications refer to the possible effects or outcomes of a study’s findings. More specifically, they answer the question, “ What do these findings mean?” . In other words, the implications section is where you discuss the broader impact of your study’s findings on theory, practice and future research.

This discussion leads us to the recommendations section , which is where you’ll propose specific actions based on your study’s findings and answer the question, “ What should be done next?” . In other words, the recommendations are practical steps that stakeholders can take to address the key issues identified by your study.

In a nutshell, then, the research implications discuss the broader impact and significance of a study’s findings, while recommendations provide specific actions to take, based on those findings. So, while both of these components are deeply rooted in the findings of the study, they serve different functions within the write up.

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Examples: Implications & Recommendations

The distinction between research implications and research recommendations might still feel a bit conceptual, so let’s look at one or two practical examples:

Let’s assume that your study finds that interactive learning methods significantly improve student engagement compared to traditional lectures. In this case, one of your recommendations could be that schools incorporate more interactive learning techniques into their curriculums to enhance student engagement.

Let’s imagine that your study finds that patients who receive personalised care plans have better health outcomes than those with standard care plans. One of your recommendations might be that healthcare providers develop and implement personalised care plans for their patients.

Now, these are admittedly quite simplistic examples, but they demonstrate the difference (and connection ) between the research implications and the recommendations. Simply put, the implications are about the impact of the findings, while the recommendations are about proposed actions, based on the findings.

The “Big 3” Categories

Now that we’ve defined our terms, let’s dig a little deeper into the implications – specifically, the different types or categories of research implications that exist.

Broadly speaking, implications can be divided into three categories – theoretical implications, practical implications and implications for future research .

Theoretical implications relate to how your study’s findings contribute to or challenge existing theories. For example, if a study on social behaviour uncovers new patterns, it might suggest that modifications to current psychological theories are necessary.

Practical implications , on the other hand, focus on how your study’s findings can be applied in real-world settings. For example, if your study demonstrated the effectiveness of a new teaching method, this would imply that educators should consider adopting this method to improve learning outcomes.

Practical implications can also involve policy reconsiderations . For example, if a study reveals significant health benefits from a particular diet, an implication might be that public health guidelines be re-evaluated.

Last but not least, there are the implications for future research . As the name suggests, this category of implications highlights the research gaps or new questions raised by your study. For example, if your study finds mixed results regarding a relationship between two variables, it might imply the need for further investigation to clarify these findings.

To recap then, the three types of implications are the theoretical, the practical and the implications on future research. Regardless of the category, these implications feed into and shape the recommendations , laying the foundation for the actions you’ll propose.

How To Write The  Sections

Now that we’ve laid the foundations, it’s time to explore how to write up the implications and recommendations sections respectively.

Let’s start with the “ where ” before digging into the “ how ”. Typically, the implications will feature in the discussion section of your document, while the recommendations will be located in the conclusion . That said, layouts can vary between disciplines and institutions, so be sure to check with your university what their preferences are.

For the implications section, a common approach is to structure the write-up based on the three categories we looked at earlier – theoretical, practical and future research implications. In practical terms, this discussion will usually follow a fairly formulaic sentence structure – for example:

This research provides new insights into [theoretical aspect], indicating that…

The study’s outcomes highlight the potential benefits of adopting [specific practice] in..

This study raises several questions that warrant further investigation, such as…

Moving onto the recommendations section, you could again structure your recommendations using the three categories. Alternatively, you could structure the discussion per stakeholder group – for example, policymakers, organisations, researchers, etc.

Again, you’ll likely use a fairly formulaic sentence structure for this section. Here are some examples for your inspiration: 

Based on the findings, [specific group] should consider adopting [new method] to improve…

To address the issues identified, it is recommended that legislation should be introduced to…

Researchers should consider examining [specific variable] to build on the current study’s findings.

Remember, you can grab a copy of our tried and tested templates for both the discussion and conclusion sections over on the Grad Coach blog. You can find the links to those, as well as loads of other free resources, in the description 🙂

FAQs: Implications & Recommendations

How do i determine the implications of my study.

To do this, you’ll need to consider how your findings address gaps in the existing literature, how they could influence theory, practice, or policy, and the potential societal or economic impacts.

When thinking about your findings, it’s also a good idea to revisit your introduction chapter, where you would have discussed the potential significance of your study more broadly. This section can help spark some additional ideas about what your findings mean in relation to your original research aims. 

Should I discuss both positive and negative implications?

Absolutely. You’ll need to discuss both the positive and negative implications to provide a balanced view of how your findings affect the field and any limitations or potential downsides.

Can my research implications be speculative?

Yes and no. While implications are somewhat more speculative than recommendations and can suggest potential future outcomes, they should be grounded in your data and analysis. So, be careful to avoid overly speculative claims.

How do I formulate recommendations?

Ideally, you should base your recommendations on the limitations and implications of your study’s findings. So, consider what further research is needed, how policies could be adapted, or how practices could be improved – and make proposals in this respect.

How specific should my recommendations be?

Your recommendations should be as specific as possible, providing clear guidance on what actions or research should be taken next. As mentioned earlier, the implications can be relatively broad, but the recommendations should be very specific and actionable. Ideally, you should apply the SMART framework to your recommendations.

Can I recommend future research in my recommendations?

Absolutely. Highlighting areas where further research is needed is a key aspect of the recommendations section. Naturally, these recommendations should link to the respective section of your implications (i.e., implications for future research).

Wrapping Up: Key Takeaways

We’ve covered quite a bit of ground here, so let’s quickly recap.

• Research implications refer to the possible effects or outcomes of a study’s findings.
• The recommendations section, on the other hand, is where you’ll propose specific actions based on those findings.
• You can structure your implications section based on the three overarching categories – theoretical, practical and future research implications.
• You can carry this structure through to the recommendations as well, or you can group your recommendations by stakeholder.

Remember to grab a copy of our tried and tested free dissertation template, which covers both the implications and recommendations sections. If you’d like 1:1 help with your research project, be sure to check out our private coaching service, where we hold your hand throughout the research journey, step by step.

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What are Implications and Recommendations in Research? How to Write It, with Examples

Highly cited research articles often contain both implications and recommendations , but there is often some confusion around the difference between implications and recommendations in research. Implications of a study are the impact your research makes in your chosen area; they discuss how the findings of the study may be important to justify further exploration of your research topic. Research recommendations suggest future actions or subsequent steps supported by your research findings. It helps to improve your field of research or cross-disciplinary fields through future research or provides frameworks for decision-makers or policymakers. Recommendations are the action plan you propose based on the outcome.

In this article, we aim to simplify these concepts for researchers by providing key insights on the following:  

• what are implications in research 
• what is recommendation in research 
• differences between implications and recommendations 
• how to write implications in research 
• how to write recommendation in research 
• sample recommendation in research 

Table of Contents

What are implications in research

The implications in research explain what the findings of the study mean to researchers or to certain subgroups or populations beyond the basic interpretation of results. Even if your findings fail to bring radical or disruptive changes to existing ways of doing things, they might have important implications for future research studies. For example, your proposed method for operating remote-controlled robots could be more precise, efficient, or cheaper than existing methods, or the remote-controlled robot could be used in other application areas. This could enable more researchers to study a specific problem or open up new research opportunities.   

Implications in research inform how the findings, drawn from your results, may be important for and impact policy, practice, theory, and subsequent research. Implications may be theoretical or practical. 1  

• Practical implications are potential values of the study with practical or real outcomes . Determining the practical implications of several solutions can aid in identifying optimal solution results. For example, clinical research or research on classroom learning mostly has practical implications in research . If you developed a new teaching method, the implication would be how teachers can use that method based on your findings.  
• Theoretical implications in research constitute additions to existing theories or establish new theories. These types of implications in research characterize the ability of research to influence society in apparent ways. It is, at most, an educated guess (theoretical) about the possible implication of action and need not be as absolute as practical implications in research . If your study supported the tested theory, the theoretical implication would be that the theory can explain the investigated phenomenon. Else, your study may serve as a basis for modifying the theory. Theories may be partially supported as well, implying further study of the theory or necessary modifications are required.  

What are recommendations in research?

Recommendations in research can be considered an important segment of the analysis phase. Recommendations allow you to suggest specific interventions or strategies to address the issues and constraints identified through your study. It responds to key findings arrived at through data collection and analysis. A process of prioritization can help you narrow down important findings for which recommendations are developed.  

Recommendations in research examples

Recommendations in research may vary depending on the purpose or beneficiary as seen in the table below.  

Table: Recommendations in research examples based on purpose and beneficiary  

If you’re wondering how to make recommendations in research . You can use the simple  recommendation in research example below as a handy template.  

Table: Sample recommendation in research template  

Basic differences between implications and recommendations in research

Implications and recommendations in research are two important aspects of a research paper or your thesis or dissertation. Implications discuss the importance of the research findings, while recommendations offer specific actions to solve a problem. So, the basic difference between the two is in their function and the questions asked to achieve it. The following table highlights the main differences between implications and recommendations in research .  

Table: Differences between implications and recommendations in research  

Where do implications go in your research paper

Because the implications and recommendations of the research are based on study findings, both are usually written after the completion of a study. There is no specific section dedicated to implications in research ; they are usually integrated into the discussion section adding evidence as to why the results are meaningful and what they add to the field. Implications can be written after summarizing your main findings and before the recommendations and conclusion.   

Implications can also be presented in the conclusion section after a short summary of the study results.   

How to write implications in research

Implication means something that is inferred. The implications of your research are derived from the importance of your work and how it will impact future research. It is based on how previous studies have advanced your field and how your study can add to that.   

When figuring out how to write implications in research , a good strategy is to separate it into the different types of implications in research , such as social, political, technological, policy-related, or others. As mentioned earlier, the most frequently used are the theoretical and practical implications.   

Next, you need to ask, “Who will benefit the most from reading my paper?” Is it policymakers, physicians, the public, or other researchers? Once you know your target population, explain how your findings can help them.  

The implication section can include a paragraph or two that asserts the practical or managerial implications and links it to the study findings. A discussion can then follow, demonstrating that the findings can be practically implemented or how they will benefit a specific audience. The writer is given a specific degree of freedom when writing research implications , depending on the type of implication in research you want to discuss: practical or theoretical. Each is discussed differently, using different words or in separate sections. The implications can be based on how the findings in your study are similar or dissimilar to that in previous studies. Your study may reaffirm or disprove the results of other studies, which has important implications in research . You can also suggest future research directions in the light of your findings or require further research to confirm your findings, which are all crucial implications. Most importantly, ensure the implications in research are specific and that your tone reflects the strength of your findings without exaggerating your results.   

Implications in research can begin with the following specific sentence structures:  

• These findings suggest that…
• These results build on existing body of evidence of…
• These results should be considered when…
• While previous research focused on x, our results show that y…

What should recommendations in research look like?

Recommendations for future research should be:  

• Directly related to your research question or findings  
• Concrete and specific  
• Supported by a clear reasoning  

The recommendations in research can be based on the following factors:  

1. Beneficiary: A paper’s research contribution may be aimed at single or multiple beneficiaries, based on which recommendations can vary. For instance, if your research is about the quality of care in hospitals, the research recommendation to different beneficiaries might be as follows:  

• Nursing staff: Staff should undergo training to enhance their understanding of what quality of care entails.  
• Health science educators: Educators must design training modules that address quality-related issues in the hospital.  
• Hospital management: Develop policies that will increase staff participation in training related to health science.  

2. Limitations: The best way to figure out what to include in your research recommendations is to understand the limitations of your study. It could be based on factors that you have overlooked or could not consider in your present study. Accordingly, the researcher can recommend that other researchers approach the problem from a different perspective, dimension, or methodology. For example, research into the quality of care in hospitals can be based on quantitative data. The researcher can then recommend a qualitative study of factors influencing the quality of care, or they can suggest investigating the problem from the perspective of patients rather than the healthcare providers.   

3. Theory or Practice: Your recommendations in research could be implementation-oriented or further research-oriented.   

4. Your research: Research recommendations can be based on your topic, research objectives, literature review, and analysis, or evidence collected. For example, if your data points to the role of faculty involvement in developing effective programs, recommendations in research can include developing policies to increase faculty participation. Take a look at the evidence-based recommendation in research example s provided below.   

Table: Example of evidence-based research recommendation  

Avoid making the following mistakes when writing research recommendations :  

• Don’t undermine your own work: Recommendations in research should offer suggestions on how future studies can be built upon the current study as a natural extension of your work and not as an entirely new field of research.  
• Support your study arguments: Ensure that your research findings stand alone on their own merits to showcase the strength of your research paper.   

How to write recommendations in research

When writing research recommendations , your focus should be on highlighting what additional work can be done in that field. It gives direction to researchers, industries, or governments about changes or developments possible in this field. For example, recommendations in research can include practical and obtainable strategies offering suggestions to academia to address problems. It can also be a framework that helps government agencies in developing strategic or long-term plans for timely actions against disasters or aid nation-building.  

There are a few SMART 2 things to remember when writing recommendations in research. Your recommendations must be: 

• S pecific: Clearly state how challenges can be addressed for better outcomes and include an action plan that shows what can be achieved. 
• M easurable: Use verbs denoting measurable outcomes, such as identify, analyze, design, compute, assess, evaluate, revise, plan, etc., to strengthen recommendations in research .   
• A ttainable: Recommendations should offer a solution-oriented approach to problem-solving and must be written in a way that is easy to follow.  
• R elevant: Research recommendations should be reasonable, realistic, and result-based. Make sure to suggest future possibilities for your research field.  
• T imely: Time-based or time-sensitive recommendations in research help divide the action plan into long-term or short-term (immediate) goals. A timeline can also inform potential readers of what developments should occur over time.  

If you are wondering how many words to include in your research recommendation , a general rule of thumb would be to set aside 5% of the total word count for writing research recommendations . Finally, when writing the research implications and recommendations , stick to the facts and avoid overstating or over-generalizing the study findings. Both should be supported by evidence gathered through your data analysis.  

References:  

• Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings.  Psychological bulletin ,  124 (2), 262.
• Doran, G. T. (1981). There’s a S.M.A.R.T. way to write management’s goals and objectives.  Manag Rev ,  70 (11), 35-36.

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What is Research? Definition, Types, Methods, and Examples

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What Are Implications in Research? | Examples & Tips

As a researcher, you know you need to provide a background for your study and a clear rationale and to formulate the statement of the problem in a way that leaves no doubt that your work is relevant and important. You also need to guide the reader carefully through your story from beginning to end without leaving any methodological questions unanswered. 

But many authors, when arriving at the end of their paper, run out of steam or lose the thread a bit and struggle with finding an ending for their work. Something can then appear missing, even if the discussion section summarizes the findings clearly, relates them back to the questions raised in the introduction section , and discusses them in the context of earlier works. A tired author who just made it to the end can often not see these missing elements and may finish off their paper with a conclusion section that is more or less a repetition of what has already been stated. After all, what more is there to be said? 

But as sure as the sun will rise again the day after you finally submitted, you will get your paper back from your supervisor or the reviewers with a comment that says, “implications are missing.” For a reader who is not as invested in every little detail of your design and analyses, the main questions that a paper has to answer are “why was this study necessary?” and “why are the findings of this study significant, and for whom, and what are we supposed to do with them now?” The latter are the implications of your work. 

Didn’t I explain the implications in my introduction section?

You will hopefully have already explained why and for whom your study is important. But you now also need to clearly state how you think your actual findings (which might differ from what you expected to find at the beginning) may be relevant and/or can be used in practical or theoretical ways, for future research, or by policymakers. These implications need to be based on your study’s parameters and results, and potential limitations of your methodology or sample should be taken into account to avoid overgeneralization. 

If you make the reader guess what the significance of your work might be or let them assume you don’t think that your work will be important for anyone except yourself and your colleagues who share your enthusiasm because they are working on the same topic, then an editor or reviewer might easily see that as a reason for a desk-reject. To avoid this, in the following, we will give you an overview of the different types of implications that research findings can have, provide some examples for your inspiration, and clarify where your implications should go in your paper. 

Table of Contents:

• Types of Implications in Research

Recommendations Versus Implications 

• Research Implications Examples 
• Where Do the Implications Go in Your paper?

Types of Implications in Research 

Depending on the type of research you are doing (clinical, philosophical, political…) the implications of your findings can likewise be clinical, philosophical, political, social, ethical—you name it. The most important distinction, however, is the one between practical implications and theoretical implications, and what many reviewers immediately notice and flag as an issue is when there is no mention of any kind of practical contribution of the work described in a paper. 

Of course, if you study a mathematical theory, then your findings might simply lead to the debunking of another theory as false, and you might need to do some mental gymnastics if you really wanted to apply that to a real-world problem. But chances are, in that case, your reviewers and readers won’t ask for a real-world implication. In most other cases, however, if you really want to convince your audience that your work deserves attention, publication, prizes, and whatnot, then you need to link whatever you did in the lab or found in the library to real life and highlight how your findings might have a lasting effect on your field (for example, methodologically), common practices (e.g., patient treatment or teaching standards), society at large (maybe the way we communicate), or ethical standards (e.g., in animal research). 

The question is not whether your findings will change the world, but whether they could if they were publicized and implemented—according to the Merriam-Webster online dictionary , the essential meaning of implication is a “possible future effect or result”. This possible result is what you have to identify and describe. And while being creative is certainly allowed, make sure your assumptions stay within realistic expectations, and don’t forget to take the limitations of your methodology or your sample into account. 

If you studied the genetic basis of a disease in some animal model, then make sure you have good reason to draw conclusions about the treatment of the same disease in humans if you don’t want to put off the editor who decides whether to even send your manuscript out for review. Likewise, if you explored the effects of the Covid-19 pandemic on higher education institutions in your country, then make sure the conclusions you draw hold in the context of other countries’ pandemic situations and restrictions and differences across education systems before you claim that they are relevant in a global context. 

Implications, as we already explored, state the importance of your study and how your findings may be relevant for the fine-tuning of certain practices, theoretical models, policymaking, or future research studies. As stated earlier, that does not necessarily mean that you believe your findings will change the world tomorrow, but that you have reason to believe they could have an impact in a specific way. Recommendations, on the other hand, are specific suggestions regarding the best course of action in a certain situation based on your findings. If, for example, you used three different established methods in your field to tackle the same problem, compared the outcomes, and concluded that one of these methods is, in fact, insufficient and should not be used anymore, then that is a recommendation for future research. 

Or if you analyzed how a monetary “Corona support program” in your country affected the local economy and found that most of the money the government provided went to Amazon and not to local businesses, then you can recommend that your government come up with a better plan next time. Such specific recommendations should usually follow the implications, not the other way around, because you always need to identify the implications of your work, but not every study allows the author to make practical suggestions or real-world recommendations.

Research Implications Examples

Clinical implications  .

Let’s say you discovered a new antibiotic that could eliminate a specific pathogen effectively without generating resistance (the main problem with antibiotics). The clinical implications of your findings would then be that infections with this pathogen could be more rapidly treated than before (without you predicting or suggesting any specific action to happen as a result of your findings). A recommendation would be that doctors should start using this new antibiotic, that it should be included in the official treatment guidelines, that it should be covered by the national health insurance of your country, etc.—but depending on how conclusive your findings are or how much more research or development might be needed to get from your findings to the actual medication, such recommendations might be a big stretch. The implications, however, since they state the potential of your findings, are valid in any case and should not be missing from your discussion section, even if your findings are just one small step along the way.

Social implications 

The social implications of the study are defined as the ability or potential of research to impact society in visible ways. One of the obvious fields of research that strives for a social impact through the implementation of evidence that increases the overall quality of people’s lives is psychology. Whether your research explores the new work-life-balance movement and its effect on mental well-being, psychological interventions at schools to compensate for the stress many children are experiencing since the beginning of the Covid-19 pandemic, or how work from home is changing family dynamics, you can most likely draw conclusions that go beyond just your study sample and describe potential (theoretical or practical) effects of your findings in the real world. Be careful, however, that you don’t overgeneralize from your sample or your data to the general population without having solid reasons to do so (and explain those reasons).

Implications for future research

Even if your findings are not going to lead to societal changes, new educational policies, or an overhaul of the national pension system, they might have important implications for future research studies. Maybe you used a new technique that is more precise or more efficient or way cheaper than existing methods and this could enable more labs around the world to study a specific problem. Or maybe you found that a gene that is known to be involved in one disease might also be involved in another disease, which opens up new avenues for research and treatment options. As stated earlier, make sure you don’t confuse recommendations (which you might not be able to make, based on your findings, and don’t necessarily have to) with implications, which are the potential effect that your findings could have—independently of whether you have any influence on that. 

Where Do the Implications Go in Your Paper? 

The implications are part of your discussion section, where you summarize your findings and then put them into context—this context being earlier research but also the potential effect your findings could have in the real world, in whatever scenario you think might be relevant. There is no “implication section” and no rule as to where in the discussion section you need to include these details because the order of information depends on how you structured your methods and your results section and how your findings turned out to prove or disprove your hypotheses. You simply need to work the potential effects of your findings into your discussion section in a logical way.

But the order of information is relevant when it comes to your conclusion at the very end of your discussion section: Here, you start with a very short summary of your study and results, then provide the (theoretical, practical, ethical, social, technological…) implications of your work, and end with a specific recommendation if (and only if) your findings call for that. If you have not paid attention to the importance of your implications while writing your discussion section, then this is your chance to fix that before you finalize and submit your paper and let an editor and reviewers judge the relevance of your work. 

Make sure you do not suddenly come up with practical ideas that look like they were plucked out of the air because someone reminded you to “add some implications” at the last minute. If you don’t know where to start, then go back to your introduction section, look at your rationale and research questions, look at how your findings answered those questions, and ask yourself who else could benefit from knowing what you know now.

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For more advice on how to write all the different parts of your research paper , on how to make a research paper outline if you are struggling with putting everything you did together, or on how to write the best cover letter that will convince an editor to send your manuscript out for review, head over to the Wordvice academic resources pages, where we have dozens of helpful articles and videos on research writing and publications.

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• How to Write Discussions and Conclusions

The discussion section contains the results and outcomes of a study. An effective discussion informs readers what can be learned from your experiment and provides context for the results.

What makes an effective discussion?

When you’re ready to write your discussion, you’ve already introduced the purpose of your study and provided an in-depth description of the methodology. The discussion informs readers about the larger implications of your study based on the results. Highlighting these implications while not overstating the findings can be challenging, especially when you’re submitting to a journal that selects articles based on novelty or potential impact. Regardless of what journal you are submitting to, the discussion section always serves the same purpose: concluding what your study results actually mean.

A successful discussion section puts your findings in context. It should include:

• the results of your research,
• a discussion of related research, and
• a comparison between your results and initial hypothesis.

Tip: Not all journals share the same naming conventions.

You can apply the advice in this article to the conclusion, results or discussion sections of your manuscript.

Our Early Career Researcher community tells us that the conclusion is often considered the most difficult aspect of a manuscript to write. To help, this guide provides questions to ask yourself, a basic structure to model your discussion off of and examples from published manuscripts. 

Questions to ask yourself:

• Was my hypothesis correct?
• If my hypothesis is partially correct or entirely different, what can be learned from the results? 
• How do the conclusions reshape or add onto the existing knowledge in the field? What does previous research say about the topic? 
• Why are the results important or relevant to your audience? Do they add further evidence to a scientific consensus or disprove prior studies? 
• How can future research build on these observations? What are the key experiments that must be done? 
• What is the “take-home” message you want your reader to leave with?

How to structure a discussion

Trying to fit a complete discussion into a single paragraph can add unnecessary stress to the writing process. If possible, you’ll want to give yourself two or three paragraphs to give the reader a comprehensive understanding of your study as a whole. Here’s one way to structure an effective discussion:

Writing Tips

While the above sections can help you brainstorm and structure your discussion, there are many common mistakes that writers revert to when having difficulties with their paper. Writing a discussion can be a delicate balance between summarizing your results, providing proper context for your research and avoiding introducing new information. Remember that your paper should be both confident and honest about the results! 

• Read the journal’s guidelines on the discussion and conclusion sections. If possible, learn about the guidelines before writing the discussion to ensure you’re writing to meet their expectations. 
• Begin with a clear statement of the principal findings. This will reinforce the main take-away for the reader and set up the rest of the discussion. 
• Explain why the outcomes of your study are important to the reader. Discuss the implications of your findings realistically based on previous literature, highlighting both the strengths and limitations of the research. 
• State whether the results prove or disprove your hypothesis. If your hypothesis was disproved, what might be the reasons? 
• Introduce new or expanded ways to think about the research question. Indicate what next steps can be taken to further pursue any unresolved questions. 
• If dealing with a contemporary or ongoing problem, such as climate change, discuss possible consequences if the problem is avoided. 
• Be concise. Adding unnecessary detail can distract from the main findings. 

Don’t

• Rewrite your abstract. Statements with “we investigated” or “we studied” generally do not belong in the discussion. 
• Include new arguments or evidence not previously discussed. Necessary information and evidence should be introduced in the main body of the paper. 
• Apologize. Even if your research contains significant limitations, don’t undermine your authority by including statements that doubt your methodology or execution. 
• Shy away from speaking on limitations or negative results. Including limitations and negative results will give readers a complete understanding of the presented research. Potential limitations include sources of potential bias, threats to internal or external validity, barriers to implementing an intervention and other issues inherent to the study design. 
• Overstate the importance of your findings. Making grand statements about how a study will fully resolve large questions can lead readers to doubt the success of the research. 

Snippets of Effective Discussions:

Consumer-based actions to reduce plastic pollution in rivers: A multi-criteria decision analysis approach

Identifying reliable indicators of fitness in polar bears

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How to Write Limitations of the Study (with examples)

This blog emphasizes the importance of recognizing and effectively writing about limitations in research. It discusses the types of limitations, their significance, and provides guidelines for writing about them, highlighting their role in advancing scholarly research.

Updated on August 24, 2023

No matter how well thought out, every research endeavor encounters challenges. There is simply no way to predict all possible variances throughout the process.

These uncharted boundaries and abrupt constraints are known as limitations in research . Identifying and acknowledging limitations is crucial for conducting rigorous studies. Limitations provide context and shed light on gaps in the prevailing inquiry and literature.

This article explores the importance of recognizing limitations and discusses how to write them effectively. By interpreting limitations in research and considering prevalent examples, we aim to reframe the perception from shameful mistakes to respectable revelations.

What are limitations in research?

In the clearest terms, research limitations are the practical or theoretical shortcomings of a study that are often outside of the researcher’s control . While these weaknesses limit the generalizability of a study’s conclusions, they also present a foundation for future research.

Sometimes limitations arise from tangible circumstances like time and funding constraints, or equipment and participant availability. Other times the rationale is more obscure and buried within the research design. Common types of limitations and their ramifications include:

• Theoretical: limits the scope, depth, or applicability of a study.
• Methodological: limits the quality, quantity, or diversity of the data.
• Empirical: limits the representativeness, validity, or reliability of the data.
• Analytical: limits the accuracy, completeness, or significance of the findings.
• Ethical: limits the access, consent, or confidentiality of the data.

Regardless of how, when, or why they arise, limitations are a natural part of the research process and should never be ignored . Like all other aspects, they are vital in their own purpose.

Why is identifying limitations important?

Whether to seek acceptance or avoid struggle, humans often instinctively hide flaws and mistakes. Merging this thought process into research by attempting to hide limitations, however, is a bad idea. It has the potential to negate the validity of outcomes and damage the reputation of scholars.

By identifying and addressing limitations throughout a project, researchers strengthen their arguments and curtail the chance of peer censure based on overlooked mistakes. Pointing out these flaws shows an understanding of variable limits and a scrupulous research process.

Showing awareness of and taking responsibility for a project’s boundaries and challenges validates the integrity and transparency of a researcher. It further demonstrates the researchers understand the applicable literature and have thoroughly evaluated their chosen research methods.

Presenting limitations also benefits the readers by providing context for research findings. It guides them to interpret the project’s conclusions only within the scope of very specific conditions. By allowing for an appropriate generalization of the findings that is accurately confined by research boundaries and is not too broad, limitations boost a study’s credibility .

Limitations are true assets to the research process. They highlight opportunities for future research. When researchers identify the limitations of their particular approach to a study question, they enable precise transferability and improve chances for reproducibility. 

Simply stating a project’s limitations is not adequate for spurring further research, though. To spark the interest of other researchers, these acknowledgements must come with thorough explanations regarding how the limitations affected the current study and how they can potentially be overcome with amended methods.

How to write limitations

Typically, the information about a study’s limitations is situated either at the beginning of the discussion section to provide context for readers or at the conclusion of the discussion section to acknowledge the need for further research. However, it varies depending upon the target journal or publication guidelines. 

Don’t hide your limitations

It is also important to not bury a limitation in the body of the paper unless it has a unique connection to a topic in that section. If so, it needs to be reiterated with the other limitations or at the conclusion of the discussion section. Wherever it is included in the manuscript, ensure that the limitations section is prominently positioned and clearly introduced.

While maintaining transparency by disclosing limitations means taking a comprehensive approach, it is not necessary to discuss everything that could have potentially gone wrong during the research study. If there is no commitment to investigation in the introduction, it is unnecessary to consider the issue a limitation to the research. Wholly consider the term ‘limitations’ and ask, “Did it significantly change or limit the possible outcomes?” Then, qualify the occurrence as either a limitation to include in the current manuscript or as an idea to note for other projects. 

Writing limitations

Once the limitations are concretely identified and it is decided where they will be included in the paper, researchers are ready for the writing task. Including only what is pertinent, keeping explanations detailed but concise, and employing the following guidelines is key for crafting valuable limitations:

1) Identify and describe the limitations : Clearly introduce the limitation by classifying its form and specifying its origin. For example:

• An unintentional bias encountered during data collection
• An intentional use of unplanned post-hoc data analysis

2) Explain the implications : Describe how the limitation potentially influences the study’s findings and how the validity and generalizability are subsequently impacted. Provide examples and evidence to support claims of the limitations’ effects without making excuses or exaggerating their impact. Overall, be transparent and objective in presenting the limitations, without undermining the significance of the research. 

3) Provide alternative approaches for future studies : Offer specific suggestions for potential improvements or avenues for further investigation. Demonstrate a proactive approach by encouraging future research that addresses the identified gaps and, therefore, expands the knowledge base.

Whether presenting limitations as an individual section within the manuscript or as a subtopic in the discussion area, authors should use clear headings and straightforward language to facilitate readability. There is no need to complicate limitations with jargon, computations, or complex datasets.

Examples of common limitations

Limitations are generally grouped into two categories , methodology and research process .

Methodology limitations

Methodology may include limitations due to:

• Sample size
• Lack of available or reliable data
• Lack of prior research studies on the topic
• Measure used to collect the data
• Self-reported data

The researcher is addressing how the large sample size requires a reassessment of the measures used to collect and analyze the data.

Research process limitations

Limitations during the research process may arise from:

• Access to information
• Longitudinal effects
• Cultural and other biases
• Language fluency
• Time constraints

The author is pointing out that the model’s estimates are based on potentially biased observational studies.

Final thoughts

Successfully proving theories and touting great achievements are only two very narrow goals of scholarly research. The true passion and greatest efforts of researchers comes more in the form of confronting assumptions and exploring the obscure.

In many ways, recognizing and sharing the limitations of a research study both allows for and encourages this type of discovery that continuously pushes research forward. By using limitations to provide a transparent account of the project's boundaries and to contextualize the findings, researchers pave the way for even more robust and impactful research in the future.

Charla Viera, MS

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

Published on October 30, 2022 by Jack Caulfield . Revised on April 13, 2023.

• Restate the problem statement addressed in the paper
• Summarize your overall arguments or findings
• Suggest the key takeaways from your paper

The content of the conclusion varies depending on whether your paper presents the results of original empirical research or constructs an argument through engagement with sources .

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Table of contents

Step 1: restate the problem, step 2: sum up the paper, step 3: discuss the implications, research paper conclusion examples, frequently asked questions about research paper conclusions.

The first task of your conclusion is to remind the reader of your research problem . You will have discussed this problem in depth throughout the body, but now the point is to zoom back out from the details to the bigger picture.

While you are restating a problem you’ve already introduced, you should avoid phrasing it identically to how it appeared in the introduction . Ideally, you’ll find a novel way to circle back to the problem from the more detailed ideas discussed in the body.

For example, an argumentative paper advocating new measures to reduce the environmental impact of agriculture might restate its problem as follows:

Meanwhile, an empirical paper studying the relationship of Instagram use with body image issues might present its problem like this:

“In conclusion …”

Avoid starting your conclusion with phrases like “In conclusion” or “To conclude,” as this can come across as too obvious and make your writing seem unsophisticated. The content and placement of your conclusion should make its function clear without the need for additional signposting.

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Having zoomed back in on the problem, it’s time to summarize how the body of the paper went about addressing it, and what conclusions this approach led to.

Depending on the nature of your research paper, this might mean restating your thesis and arguments, or summarizing your overall findings.

Argumentative paper: Restate your thesis and arguments

In an argumentative paper, you will have presented a thesis statement in your introduction, expressing the overall claim your paper argues for. In the conclusion, you should restate the thesis and show how it has been developed through the body of the paper.

Briefly summarize the key arguments made in the body, showing how each of them contributes to proving your thesis. You may also mention any counterarguments you addressed, emphasizing why your thesis holds up against them, particularly if your argument is a controversial one.

Don’t go into the details of your evidence or present new ideas; focus on outlining in broad strokes the argument you have made.

Empirical paper: Summarize your findings

In an empirical paper, this is the time to summarize your key findings. Don’t go into great detail here (you will have presented your in-depth results and discussion already), but do clearly express the answers to the research questions you investigated.

Describe your main findings, even if they weren’t necessarily the ones you expected or hoped for, and explain the overall conclusion they led you to.

Having summed up your key arguments or findings, the conclusion ends by considering the broader implications of your research. This means expressing the key takeaways, practical or theoretical, from your paper—often in the form of a call for action or suggestions for future research.

Argumentative paper: Strong closing statement

An argumentative paper generally ends with a strong closing statement. In the case of a practical argument, make a call for action: What actions do you think should be taken by the people or organizations concerned in response to your argument?

If your topic is more theoretical and unsuitable for a call for action, your closing statement should express the significance of your argument—for example, in proposing a new understanding of a topic or laying the groundwork for future research.

Empirical paper: Future research directions

In a more empirical paper, you can close by either making recommendations for practice (for example, in clinical or policy papers), or suggesting directions for future research.

Whatever the scope of your own research, there will always be room for further investigation of related topics, and you’ll often discover new questions and problems during the research process .

Finish your paper on a forward-looking note by suggesting how you or other researchers might build on this topic in the future and address any limitations of the current paper.

Full examples of research paper conclusions are shown in the tabs below: one for an argumentative paper, the other for an empirical paper.

• Argumentative paper
• Empirical paper

While the role of cattle in climate change is by now common knowledge, countries like the Netherlands continually fail to confront this issue with the urgency it deserves. The evidence is clear: To create a truly futureproof agricultural sector, Dutch farmers must be incentivized to transition from livestock farming to sustainable vegetable farming. As well as dramatically lowering emissions, plant-based agriculture, if approached in the right way, can produce more food with less land, providing opportunities for nature regeneration areas that will themselves contribute to climate targets. Although this approach would have economic ramifications, from a long-term perspective, it would represent a significant step towards a more sustainable and resilient national economy. Transitioning to sustainable vegetable farming will make the Netherlands greener and healthier, setting an example for other European governments. Farmers, policymakers, and consumers must focus on the future, not just on their own short-term interests, and work to implement this transition now.

As social media becomes increasingly central to young people’s everyday lives, it is important to understand how different platforms affect their developing self-conception. By testing the effect of daily Instagram use among teenage girls, this study established that highly visual social media does indeed have a significant effect on body image concerns, with a strong correlation between the amount of time spent on the platform and participants’ self-reported dissatisfaction with their appearance. However, the strength of this effect was moderated by pre-test self-esteem ratings: Participants with higher self-esteem were less likely to experience an increase in body image concerns after using Instagram. This suggests that, while Instagram does impact body image, it is also important to consider the wider social and psychological context in which this usage occurs: Teenagers who are already predisposed to self-esteem issues may be at greater risk of experiencing negative effects. Future research into Instagram and other highly visual social media should focus on establishing a clearer picture of how self-esteem and related constructs influence young people’s experiences of these platforms. Furthermore, while this experiment measured Instagram usage in terms of time spent on the platform, observational studies are required to gain more insight into different patterns of usage—to investigate, for instance, whether active posting is associated with different effects than passive consumption of social media content.

If you’re unsure about the conclusion, it can be helpful to ask a friend or fellow student to read your conclusion and summarize the main takeaways.

• Do they understand from your conclusion what your research was about?
• Are they able to summarize the implications of your findings?
• Can they answer your research question based on your conclusion?

You can also get an expert to proofread and feedback your paper with a paper editing service .

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The conclusion of a research paper has several key elements you should make sure to include:

• A restatement of the research problem
• A summary of your key arguments and/or findings
• A short discussion of the implications of your research

No, it’s not appropriate to present new arguments or evidence in the conclusion . While you might be tempted to save a striking argument for last, research papers follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the results and discussion sections if you are following a scientific structure). The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

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Implications and Recommendations in Research

In academic research, recommendations and implications play a crucial role in translating research findings into actionable insights, practical applications, and informed decision-making. In this post, we’ll explore their definition, discuss how to write them effectively, and provide examples to illustrate their significance in research.

Understanding Implications and Recommendations:

• Implications: Implications refer to the potential consequences, significance, or applications of research findings for theory, practice, policy, or future research. They answer the question: “What are the broader implications of the study?”
• Recommendations: Recommendations are actionable suggestions, strategies, or proposals based on research findings that aim to address challenges, improve practices, or guide decision-making. They answer the question: “What specific actions or steps should be taken based on the study’s findings?”

How to Write Implications and Recommendations:

Summarize Key Findings:

• Begin by summarizing the key findings and outcomes of your research study to provide context for the implications and recommendations.

Identify Implications:

• Consider the potential implications of your findings for theory, practice, policy, or future research.
• Discuss how your research contributes to knowledge advancement, understanding of phenomena, or addressing gaps in the literature.

Provide Actionable Recommendations:

• Based on your findings, propose actionable recommendations that stakeholders, practitioners, or policymakers can implement.
• Ensure that recommendations are specific, feasible, and aligned with the research objectives and outcomes.

Consider Different Stakeholders :

• Tailor implications and recommendations to different stakeholders, such as academic researchers, practitioners, policymakers, or industry professionals.
• Address the needs, interests, and perspectives of diverse stakeholders in your suggestions.

Link Implications with Recommendations:

• Establish a clear link between the implications derived from your findings and the recommendations proposed for addressing identified issues or opportunities.
• Highlight how implementing the recommendations can lead to desired outcomes or improvements based on the study’s implications.

Be Evidence-Based and Justified:

• Support your implications and recommendations with evidence, data, or logical reasoning derived from the research findings.
• Justify why each recommendation is necessary, relevant, and beneficial based on the study’s results and implications.

Examples of Implications and Recommendations:

Implications Example (Healthcare Study):

• Implication: “The study’s findings highlight the importance of early intervention programs for mental health promotion among adolescents.”
• Justification: “Implementing school-based mental health education and support programs can contribute to early identification and prevention of mental health issues.”

Example (Environmental Study):

• Recommendation: “Develop policies and incentives to promote sustainable practices in waste management and recycling.”
• Justification: “Enhancing public awareness, providing incentives for recycling, and implementing stricter waste management regulations can reduce environmental impact and promote sustainability.”

Example (Educational Research):

• Implication: “The study underscores the significance of personalized learning approaches in improving student engagement and academic performance.”
• Recommendation: “Schools should invest in technology-enabled personalized learning platforms and training for educators to tailor instruction to individual student needs.”
• Justification: “Personalized learning has shown positive outcomes in enhancing student motivation, comprehension, and retention, leading to improved learning outcomes.”

Conclusion:

Implications and recommendations serve as essential components of research that bridge the gap between theory and practice, generating actionable insights and guiding decision-making. By articulating the broader implications of research findings and proposing specific recommendations for addressing challenges or opportunities, researchers contribute to knowledge translation, innovation, and positive societal impact. When crafting them, researchers should strive for clarity, relevance, evidence-based justification, and alignment with the study’s objectives and outcomes. Ultimately, effective implications and recommendations enhance the utility, relevance, and impact of research in addressing real-world issues and driving positive change.

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What are the Academic Implications of a Research Study?

Gain knowledge about the distinction between academic limitations and recommendations to successfully incorporate them into your research.

If you intend to write a research paper, you should be aware that you must provide a background story that will lead to the rationale behind the research, providing context and assisting in the formulation of the issue statement, aiming to leave no doubt about your work, demonstrating its relevance and importance, and stating all possible methodological questions.

However, it is not uncommon for researchers to lose momentum at the end and struggle to find the correct conclusion for their research. Despite the fact that the discussion properly explains the findings, connects them to the issues raised in the introduction, and investigates them in the context of past research, something may appear to be lacking. This frequently leads to the conclusion of a research that is similar to one that has already been expressed.

This results in a lack of academic implications when readers or reviewers fail to recognize the significance of your research. To avoid this, continue reading this article to learn more about the academic implications .

What are the academic implications?

Implications are the consequences of your research; you must describe exactly why you assume your actual results are relevant and/or might be employed in future research. Most importantly, your implications must be supported by evidence. 

These implications must be based on the details and outcomes of your research, and any limitations of your approach or sample should be recognized in order to avoid gross generalization.

Depending on the type of research you perform, the implications of your findings can be clinical, philosophical, political, social, or ethical. It is crucial to understand that the most essential distinction is between practical implications, theoretical implications and implications for future research.

Practical Implications

The term “practical” literally means “real outcomes.” The reality that would occur if certain circumstances were met is referred to as practical implication. Determining the practical implications of several solutions can aid in determining which ones deliver the intended results.

For example, when doing clinical research, these outcomes are more likely to be practical. Assume you’re doing a trial for a medicine that treats infection without generating organism resistance; the consequences in this situation are that illnesses can be treated more promptly than in the past.

Theoretical Implications

In contrast, the theoretical implication is a newly discovered addition(s) to current theories or establishing elements for new theories. Theory’s role in research is to propose fascinating and potentially promising subjects to focus on.

The ability or possibility of research to affect society in apparent ways is characterized by theoretical implications. For example, research on human relationships and how COVID affects them can theorize that humans are less likely to interact now they’ve been through COVID. 

However, be cautious not to extrapolate your sampling or data to the broader population unless you have compelling reasons for it.

Implications that require future research

If you discover that your findings do not result in social reforms, innovative pedagogical policies or medical changes, they may have vital implications for future research projects. 

This implies that if you discover anything that may have an impact on other research, you should discuss the implications. Just be careful not to mistake an implication as a recommendation.

Implications vs. Recommendations

In a research paper, an implication is a conclusion that can be deduced from the research findings and the significance of these findings; this does not immediately imply that you think your findings will change everything by tomorrow, but that you have reason to expect they could have an impact in a particular way.

Recommendations, on the other hand, are precise ideas based on your findings about the best way to proceed in a certain scenario. For example, if you discovered a better approach to deal with a certain type of data (that may be utilized in other topics), you would recommend they discard the previous method.

Simply defined, an implication is an implicit conclusion of your research, whereas a recommendation is what you recommend based on the facts. 

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How to Present a Research Study’s Limitations

All studies have imperfections, but how to present them without diminishing the value of the work can be tricky..

Nathan Ni holds a PhD from Queens University. He is a science editor for The Scientist’s Creative Services Team who strives to better understand and communicate the relationships between health and disease.

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Scientists work with many different limitations. First and foremost, they navigate informational limitations, work around knowledge gaps when designing studies, formulating hypotheses, and analyzing data. They also handle technical limitations, making the most of what their hands, equipment, and instruments can achieve. Finally, researchers must also manage logistical limitations. Scientists will often experience sample scarcity, financial issues, or simply be unable to access the technology or materials that they want.

All scientific studies have limitations, and no study is perfect. Researchers should not run from this reality, but engage it directly. It is better to directly address the specific limitations of the work in question, and doing so is actually a way to demonstrate an author’s proficiency and aptitude.

Do: Be Transparent

From a practical perspective, being transparent is the main key to directly addressing the specific limitations of a study. Was there an experiment that the researchers wanted to perform but could not, or a sample that existed that the scientists could not obtain? Was there a piece of knowledge that would explain a question raised by the data presented within the current study? If the answer is yes, the authors should mention this and elaborate upon it within the discussion section.

Asking and addressing these questions demonstrates that the authors have knowledge, understanding, and expertise of the subject area beyond what the study directly investigated. It further demonstrates a solid grasp of the existing literature—which means a solid grasp of what others are doing, what techniques they are using, and what limitations impede their own studies. This information helps the authors contextualize where their study fits within what others have discovered, thereby mitigating the perceived effect of a given limitation on the study’s legitimacy. In essence, this strategy turns limitations, often considered weaknesses, into strengths.

For example, in their 2021 Cell Reports study on macrophage polarization mechanisms, dermatologist Alexander Marneros and colleagues wrote the following. 1

A limitation of studying macrophage polarization in vitro is that this approach only partially captures the tissue microenvironment context in which many different factors affect macrophage polarization. However, it is likely that the identified signaling mechanisms that promote polarization in vitro are also critical for polarization mechanisms that occur in vivo. This is supported by our observation that trametinib and panobinostat inhibited M2-type macrophage polarization not only in vitro but also in skin wounds and laser-induced CNV lesions.

This is a very effective structure. In the first sentence ( yellow ), the authors outlined the limitation. In the next sentence ( green ), they offered a rationalization that mitigates the effect of the limitation. Finally, they provided the evidence ( blue ) for this rationalization, using not just information from the literature, but also data that they obtained in their study specifically for this purpose. 

Don't: Be Defensive

It can feel natural to avoid talking about a study’s limitations. Scientists may believe that mentioning the drawbacks still present in their study will jeopardize their chances of publication. As such, researchers will sometimes skirt around the issue. They will present “boilerplate faults”—generalized concerns about sample size/diversity and time limitations that all researchers face—rather than honestly discussing their own study. Alternatively, they will describe their limitations in a defensive manner, positioning their problems as something that “could not be helped”—as something beyond what science can currently achieve.

However, their audience can see through this, because they are largely peers who understand and have experienced how modern research works. They can tell the difference between global challenges faced by every scientific study and limitations that are specific to a single study. Avoiding these specific limitations can therefore betray a lack of confidence that the study is good enough to withstand problems stemming from legitimate limitations. As such, researchers should actively engage with the greater scientific implications of the limitations that they face. Indeed, doing this is actually a way to demonstrate an author’s proficiency and aptitude.

In an example, neurogeneticist Nancy Bonini and colleagues, in their publication in Nature , discussed a question raised by their data that they have elected not to directly investigate in this study, writing “ Among the intriguing questions raised by these data is how senescent glia promote LDs in other glia. ” To show both the legitimacy of the question and how seriously they have considered it, the authors provided a comprehensive summary of the literature in the following seven sentences, offering two hypotheses backed by a combined eight different sources. 2 Rather than shying away from a limitation, they attacked it as something to be curious about and to discuss. This is not just a very effective way of demonstrating their expertise, but it frames the limitation as something that, when overcome, will build upon the present study rather than something that negatively affects the legitimacy of their current findings.

Striking the Right Balance

Scientists have to navigate the fine line between acknowledging the limitations of their study while also not diminishing the effect and value of their own work. To be aware of legitimate limitations and properly assess and dissect them shows a profound understanding of a field, where the study fits within that field, and what the rest of the scientific community are doing and what challenges they face.

All studies are parts of a greater whole. Pretending otherwise is a disservice to the scientific community.

Looking for more information on scientific writing? Check out  The Scientist’ s  TS SciComm  section. Looking for some help putting together a manuscript, a figure, a poster, or anything else?  The Scientist ’s  Scientific Services  may have the professional help that you need.

• He L, et al. Global characterization of macrophage polarization mechanisms and identification of M2-type polarization inhibitors . Cell Rep . 2021;37(5):109955.
• Byrns CN, et al. Senescent glia link mitochondrial dysfunction and lipid accumulation . Nature . 2024.

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Home » Implications – Definition, Types, and Applications

Implications – Definition, Types, and Applications

Table of Contents

Implications

Definition :

Implications refer to the consequences, outcomes, or effects of a particular action, decision, or event. It involves a careful analysis of the potential effects of something before it happens or after it has occurred. In other words, implications are the logical or practical results of something.

Implications Synonym

Following are synonyms used as implications:

• Consequences
• Ramifications
• Repercussions
• Significance
• Interpretations
• Relationship
• Correlation.

Types of Implications

Types of Implications are as follows:

Material Implication

This is the standard form of implication used in propositional logic. It is often denoted by the symbol “→” and can be read as “if-then.” For example, “If it is raining, then the ground is wet” can be written as “p → q,” where “p” represents “it is raining” and “q” represents “the ground is wet.” Material implication is also used in first-order logic.

Logical Implication

This is a more general type of implication that includes material implication as a special case. In logical implication, the truth of the antecedent implies the truth of the consequent, but the converse may not be true. For example, “All cats are mammals” logically implies “Some mammals are cats,” but the converse is not true. Logical implication is used in predicate logic.

Material Equivalence

This is a type of implication that goes in both directions. It is often denoted by the symbol “↔” and can be read as “if and only if.” For example, “Two lines are perpendicular if and only if their slopes are negative reciprocals” can be written as “p ↔ q,” where “p” represents “two lines are perpendicular” and “q” represents “their slopes are negative reciprocals.”

Causal Implication

This is a type of implication used in causal reasoning. It asserts that if one event (the cause) occurs, then another event (the effect) will necessarily follow. For example, “Smoking causes lung cancer” is a causal implication.

Modal Implication

This is a type of implication used in modal logic, which deals with concepts like possibility and necessity. Modal implication asserts that if something is necessarily true, then something else must also be true. For example, “If it is necessarily true that all bachelors are unmarried, then it is necessarily true that some unmarried men are bachelors.”

Implication in set theory

In set theory, an implication can be defined using set notation. For example, if A and B are sets, then the implication “if x is in A, then x is in B” can be written as A ⊆ B, which means “A is a subset of B.”

Material Conditional Implication

This is a type of implication that is similar to material implication, but with some subtle differences. It is often denoted by the symbol “⊢” and is used in proof theory. For example, “p, q ⊢ r” means that if p and q are true, then r must also be true.

Counterfactual Implication

This is a type of implication that deals with hypothetical or imagined situations. It asserts that if something had been true in the past or if something were different in the present, then something else would necessarily be true. For example, “If I had studied harder, I would have passed the test” is a counterfactual implication.

Psychological Implication

This is a type of implication that deals with the psychological effects of one event on another. For example, “If a child is exposed to violence at a young age, they may be more likely to exhibit violent behavior later in life” is a psychological implication.

Applications of Implications

Implications are used in a variety of fields and applications, including:

• Mathematics: In mathematical logic, implications are used to describe the relationship between propositions. An implication is a statement that connects a hypothesis to a conclusion, such as “If p, then q.” Implications are used extensively in proof writing.
• Computer Science : In computer science, implications are used to describe the behavior of algorithms and systems. Implications are used in programming languages to define logical conditions, and in databases to describe relationships between data.
• Philosophy : In philosophy , implications are used to express necessary and sufficient conditions for certain concepts or beliefs. Implications are often used to form arguments, as they can help to demonstrate the logical consistency or inconsistency of a set of beliefs.
• Law : Implications are used in legal reasoning and analysis, especially in interpreting statutes and legal precedents. Lawyers and judges use implications to determine the scope and meaning of legal concepts, and to assess the validity of legal arguments.
• Science : In science, implications are used to make predictions and test hypotheses. Scientists use implications to describe the expected outcomes of experiments and observations, and to determine whether their findings are consistent with existing theories.
• Business : In business, implications are used to make strategic decisions and assess the potential outcomes of different courses of action. Business analysts use implications to evaluate market trends and customer behavior, and to identify opportunities for growth and innovation.
• Education : In education, implications are used to evaluate the effectiveness of teaching methods and educational programs. Educators use implications to assess the impact of different teaching strategies on student learning outcomes, and to design curricula that are tailored to the needs of different learners.
• Psychology : In psychology , implications are used to study human behavior and cognition. Psychologists use implications to explore the relationships between different variables, such as personality traits, emotions, and social behaviors. Implications are also used to develop and test theories about human development and mental health.
• Marketing : In marketing, implications are used to assess the potential impact of advertising and promotional campaigns on consumer behavior. Marketers use implications to determine the most effective ways to reach and engage with target audiences, and to measure the effectiveness of different marketing strategies.
• Communication : In communication, implications are used to understand the meaning and significance of different forms of communication, such as language, nonverbal cues, and media messages. Communication scholars use implications to explore the ways in which communication shapes social relationships, identities, and cultural values.

How to Write Implications

Writing implications involves identifying the potential consequences or outcomes of a particular action, event, or decision. Here are some steps to follow when writing implications:

• Identify the relevant information: Start by analyzing the information you have and identify the key points or issues. This will help you understand the implications of the decision or action being taken.
• Determine the potential consequences: Think about the potential outcomes of the decision or action. Consider the short-term and long-term effects, as well as the positive and negative consequences.
• Consider different scenarios : Try to anticipate different scenarios that may arise as a result of the decision or action. Consider how different stakeholders may be affected and what their reactions might be.
• Evaluate the implications: Evaluate the potential implications of the decision or action based on the information you have gathered. Consider the impact on individuals, organizations, and society as a whole.
• Present your findings: Present your findings clearly and concisely. Use data and evidence to support your conclusions and provide recommendations for next steps.
• Consider potential solutions: If the implications are negative, consider potential solutions that could mitigate the negative consequences. If the implications are positive, consider how to maximize the benefits.
• Review and revise: Review your implications and make revisions as needed. Ensure that your implications are clear, concise, and supported by evidence.

Importance of Implications

Implications are important because they help us to understand the potential consequences or effects of a particular decision, action, or event. They allow us to anticipate and prepare for possible outcomes, both positive and negative, which can inform our choices and decision-making processes.

Here are some specific reasons why implications are important:

• Decision-making : Implications help us to make better decisions by providing us with a clearer understanding of the potential consequences of our choices. By considering the implications of different options, we can choose the one that is most likely to lead to a positive outcome.
• Planning : Implications are also important in the planning process. By identifying the potential consequences of different scenarios, we can develop more effective plans that take into account the risks and opportunities associated with each option.
• Risk management : Understanding the implications of a particular decision or action can help us to manage risk more effectively. By anticipating possible negative outcomes, we can take steps to minimize or mitigate those risks, and be better prepared to handle any issues that arise.
• Communication: Communicating the implications of a particular decision or action can help to ensure that everyone involved is on the same page. By sharing information about potential consequences, we can ensure that everyone understands the risks and opportunities associated with a particular course of action.

When to use Implications

Implications are useful when you want to describe the consequences or results of a particular action, event, or situation. They are commonly used in academic writing, legal documents, and scientific reports to explain the potential impact of findings, policies, or decisions.

Here are some examples of when to use implications:

• In scientific research , implications are used to explain the potential applications or limitations of the study findings.
• In legal documents , implications are used to describe the possible consequences of a court ruling or decision.
• In business reports , implications are used to explain the potential effects of a new product launch, marketing strategy, or financial decision.
• In academic writing , implications are used to discuss the broader significance of research findings and to suggest future research directions.

Advantages of Implications

Some Advantages of Implications are as follows:

• Clarity : Implications provide a clear and concise statement of what follows from a given premise. By defining the relationship between the premise and the conclusion, they eliminate ambiguity and make the argument easier to understand.
• Rigor : Implications provide a rigorous framework for reasoning. They require that the relationship between the premise and the conclusion be logical and consistent, which helps to avoid fallacious reasoning and ensures that the argument is sound.
• Consistency : Implications help to ensure that arguments are consistent. By defining the relationship between the premise and the conclusion, they ensure that the argument is coherent and that there are no contradictions.
• Predictive power: Implications can be used to make predictions. By defining the relationship between the premise and the conclusion, they allow us to make predictions about what will happen in the future if certain conditions are met.
• Applicability : Implications are widely applicable across a range of domains. They can be used in mathematics, science, philosophy, and many other areas to make logical arguments and draw conclusions based on evidence and reasoning.

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Nicolini D, Powell J, Korica M. Keeping knowledgeable: how NHS chief executive officers mobilise knowledge and information in their daily work. Southampton (UK): NIHR Journals Library; 2014 Aug. (Health Services and Delivery Research, No. 2.26.)

Keeping knowledgeable: how NHS chief executive officers mobilise knowledge and information in their daily work.

Chapter 6 conclusions, implications of the study and directions for future research.

In this study, we have sought to respond to a number of research questions related to how knowledge mobilisation is understood, performed and enacted in everyday working practice of NHS trust CEOs in England. We have asked in particular what are the material practices and organisational arrangements through which NHS trust CEOs make themselves knowledgeable, how different types of ‘evidence’ or information are brought to bear in their daily activities, and whether specific organisational arrangements support or hinder their processes of knowledge mobilisation (i.e. what is the practical influence of context on this process). In this chapter, we conclude by briefly foregrounding some of the study’s implications for practice, and some of the directions for future research that stem from the project.

• Implications for practice

Our main aim in this study was to address the almost total lack of research evidence on what it means to mobilise knowledge when operating at the very top of English NHS organisations. We have done so by directly observing and reporting on the daily work of seven trust CEOs, with special attention to the practices whereby these executives made themselves knowledgeable for all practical purposes, as dictated by their specific job.

Accordingly, the first major practical contribution of the present research is that it provides much needed empirical data on the actual jobs of NHS trust CEOs, their mundane preoccupations, what they do most of the time and with what in mind. This information is important given that the only other comparable study dates back more than 30 years. 104 Recounting in depth the activities of CEOs will allow policy-makers, trainers, consultants and others to design initiatives, tools and actions based on what NHS CEOs actually do and where they are now in terms of their practice (rather than what they think they should be doing). For example, authors of policy documents could take note that that most of the time CEOs will not read them directly and are likely to pass them to one of their immediate collaborators. This will allow them to redesign their documents accordingly. Many others could derive similar implications from most of our findings. Our study thus responds to the call made by, among others, Gabbay and Le May, 7 who highlighted as problematic

the glaring disparity between the policy makers’ methods for trying to promote EBP and what social scientists, philosophers, psychologists – and just about anyone who studied such things – have long told us about the nature of knowledge and how it gets used in the real world.

In this sense, we believe that our research is especially timely in the aftermath of the Francis report, 100 which calls on NHS managers to become more open to scrutiny and challenge. If an inaccurate idea of what it means to be ‘evidence-based’ is adopted as a consequence of this (i.e. one that equates EBP with one of the normative models we criticised above), CEOs and other managers may be driven towards a largely ceremonial adoption of EBP. This may result in a focus on creating audit trails of ‘evidence’ before making decisions, rather than improving the practices through which they make themselves knowledgeable; and may result in excluding, rather than giving more prominence to, ‘mundane’ types of evidence, such as patients’ experience. While this type of information could constitute a critical source of intelligence, the risk is that it is disregarded or not valued enough simply because it does not fit the traditional formal idea of what constitutes ‘evidence’.

A second important implication of our study derives from our finding on the uniqueness of the knowledge and information work carried out by NHS CEOs as part of the TMT. Our findings point to a specific set of capabilities, information sources, decision styles and strategies, and attitudes towards knowledge and evidence that may set apart the work of the CEO from that of other members of the executive team. Although analysing our data with a view to identifying and codifying these skills and behaviours goes beyond the remit of the current project, contacts have already been established with the appropriate institutions (including the NHS Leadership Academy and the Institute of Healthcare Management) to explore how this can be achieved collaboratively in the near future.

A third implication stems from our reframing of the issue of how to nurture and support the knowledgeability of CEOs in developmental, rather than instrumental, ways. Our findings suggest in fact that knowledge mobilisation, understood as a series of practices and tools that support, foster or hamper the continually evolving knowledgeability of a CEO, is a personal and organisational capability that can and needs to be learned and refined as one’s perceived context and tasks change over time. Accordingly, our research suggests that we need to abandon the simplistic instrumental view that asks ‘what knowledge products are more suited to CEOs?’ or ‘what technology should we give to CEOs to make them better decision-makers?’ Instead, the issue of how to nurture and support the knowledgeability of CEOs may need to be addressed in terms of how such a capability could be taught, developed and improved through a reflective and continual monitoring of one’s personal infrastructure of knowledgeability.

In this sense, although our research falls short of developing a fully formed diagnostic tool (given its exploratory nature), it clearly signposts the main dimensions of a framework for reflecting on the personal knowledgeability infrastructure of NHS executives. Such dimensions, which derive from our model summarised in Figure 8 above, suggest that executives critically reflect on the following fundamental questions:

• What kind of a manager/CEO do I wish to be, or need to be at the moment in my context?
• What is the nature of my organisational and institutional context right now?
• What is the nature of my work at present (e.g. pace, structures, people)?
• What personal style do I tend to adopt (i.e. where does the CEO sit on the various continua concerning foci of work, e.g. internal/external, operational/strategic)?
• Do I have the right infrastructure in place (both people and objects, e.g. trusted deputies, live IT performance system, informal ward visits) to allow me to be the kind of manager I wish or need to be? If not, what do I need to change?

The framework, which is graphically summarised in Figure 9 , is premised on the notion that each choice of ‘what works’ is individual to the CEO working in situ, and involves certain advantages and drawbacks, which, if they are pragmatically known and continually reflected on and managed by the CEO, can facilitate crucial processes of capacity building over time. The framework also suggests that we should abandon the idea of a silver bullet or ‘one best way’ to address the issue of knowledge mobilisation and how to make managerial work more ‘evidence-based’. The suggestion instead is to embrace more individual-centred and context-sensitive approaches and solutions.

A signposting framework for reflecting on one’s knowledgeability infrastructure.

Finally, our study provides indications to recruiters regarding a number of desirable and necessary skills that future CEOs may need to have or develop in order to carry out their jobs. Again, contacts have been established between the research team and a number of NHS bodies so that the findings of the present study can be incorporated in the existing and future capability-building frameworks.

• Implications for future research

Our study, being of an exploratory and interpretive nature, raises a number of opportunities for future research, both in terms of theory development and concept validation. More research will in fact be necessary to refine and further elaborate our novel findings.

First, while we have generated a number of new and we believe useful conceptual categories, given the in-depth sampling strategy focused on exploring the work of seven trust CEOs, very little can be said of the nature of information work of the larger population of NHS CEOs in England. Our study could thus be extended in search of statistical, rather than analytical, generalisability, as we have sought here.

Second, our study offers the opportunity to refine and validate the concepts and constructs that emerged from our inductive analysis. For example, the idea of a personal knowledgeability infrastructure will need further refinement and elaboration, in terms of both its component elements and its internal dynamics. One could also ask whether and to what extent it is possible to identify different ideal types of knowledgeable managers, so that a typology of managerial forms of knowledgeability can be constructed.

The model discussed in Figure 9 could also be used to generate a number of hypotheses for further empirical testing using a broader sample and quantitative research methods. Questions could include the following:

• Is there a statistical correlation between the type of personal infrastructure of knowledgeability, its elements, and the personality of the CEO (e.g. in terms of Myers–Briggs indicators)?
• Is there a statistical correlation between practices of knowledge mobilisation and other outcome measures, such as financial performance, regulatory compliance or dimensions captured by the NHS Staff Survey?
• Is there a systematic correlation between the types of organisation and the information work carried out by top managers (i.e. are the distinctions we outlined in this report supported by further evidence)?

The study could also be extended in longitudinal and comparative ways. For example, here we have hypothesised that CEOs will adapt their styles and practices of knowledge mobilisation in relation to career development and experience. Further research could elaborate on this point, providing precious information to selection panels and training bodies. Further research could also take a historical perspective and ask if the work of top NHS executives has significantly changed in the last several decades, including a significant shift in skills and attitude (and if it should have occurred). Again, this would provide valuable information to those tasked with selecting or developing top managers in the NHS. Finally, comparative questions can also be asked with regard to differences between executives in the NHS and other health-care systems (e.g. Canada, New Zealand, the USA and Europe), as well as the NHS and other sectors.

Finally, as discussed in Chapter 3 , Limitations of the study , further work is necessary to examine the practices of knowledge mobilisation and information work at the level of the executive management team, and from the particular perspectives of the individual directors, rather than the CEO alone, as we have done here. Further research can thus shed light on the dynamics of knowledge circulation, sharing and exchange among this particular group of individuals, asking what sort of infrastructure they need, both individually and as a group, to support the knowledgeability of the top team. Such research, which could and should examine the processes whereby information and data are turned into actionable ‘evidence’, could also extend to existing and new supporting structures, such as the Academic Health Science Networks, in order to consider their role in practice.

Included under terms of UK Non-commercial Government License .

• Cite this Page Nicolini D, Powell J, Korica M. Keeping knowledgeable: how NHS chief executive officers mobilise knowledge and information in their daily work. Southampton (UK): NIHR Journals Library; 2014 Aug. (Health Services and Delivery Research, No. 2.26.) Chapter 6, Conclusions, implications of the study and directions for future research.
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