graduate research papers

Research and Writing at Graduate Level

Any program leading to the Master of Arts fosters the student’s transition into a profession. Students learn how to discuss ideas in a particular discipline as professionals among professionals. To attain this goal, graduate students routinely engage in research and writing where correct documentation of sources signifies much more than the avoidance of plagiarism. Research and writing about scholarly discoveries signal the graduate student’s membership in a professional community.

Thus research papers written for graduate courses will differ from those written for undergraduate courses. The graduate student’s research paper will sustain deeper analysis of a topic at greater length and with narrower focus than the undergraduate paper. Graduate research papers will employ a significant scope of sources that are current, authoritative, and recognized within a particular area of study. Additionally, the graduate research paper demonstrates the student’s ability to identify appropriate topics related to course material and to exercise independence in both research and writing.

Graduate-level papers will also demonstrate the student’s ability to document all sources accurately and to edit carefully for standard American English. Students should refer to  The MLA Handbook for Writers of Research Papers , 8th Edition (ISBN 978-1-60329-262-7), if they have questions about documentation, though some courses may ask students to follow the Chicago Manual of Style or the Publication Manual of the American Psychological Association .

To prepare students for the level of research and writing required in graduate courses, professors incorporate into their classes instruction in bibliography and methodology appropriate to course content. Professors will assist students to access and learn how to access and evaluate scholarly materials. Professors may further provide rubrics or specific requirements about the nature and originality of the research and writing expected in fulfillment of a particular assignment.

For information on academic misconduct and plagiarism, see the Honor Code section of the Graduate Student Handbook.

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Here we present four vidcasts that offer a broad introductory overview of graduate writing. In this context, it is helpful to think about writing as a conversation , a process , a social endeavor , and a disciplinary undertaking . Stay tuned as we continue to publish these vidcasts!

Writing at the graduate level is quite different from writing at the undergraduate level. As emerging scholars, graduate writers will need to become well-versed in the scholarly conversations taking place in the journals and at the conferences within their field. Where undergraduate writers may find themselves primarily writing for their professor as audience and to show mastery of subject matter as a purpose, graduate writers’ audience will be their colleagues in the field, and their purpose will be to engage in conversation with and to disseminate new research to those colleagues. A graduate writer’s identity as scholar requires a concurrent identity as writer.

Materials in this section cover a range of topics relevant to graduate-level writing and to the process of becoming a scholarly writer within a particular field. Two sets of vidcasts fall in the category of Intensive Writing Experience (IWE). An IWE is a concentrated program aimed at a particular group of graduate students (e.g., those new to graduate writing or those writing theses and dissertations). These programs ask writers to learn about and engage with information about and strategies to apply to writing that they can then use in their own work. The Introduction to Graduate Writing vidcast series explores how writing is a conversation, a process, a social endeavor, and discipline specific. The IWE for Thesis and Dissertation writers offers material on how to set goals for and remain motivated during a long-term project. It covers topics relevant to drafting and revising documents, such as reverse outlining, sentence concision, and flow in scholarly writing.

In addition to the vidcasts, this section of the OWL houses a number of handouts specific to graduate writing on topics such as style or organization and on genres such as literature reviews and conference proposals. These materials offer explanations and samples of the particular topic or genre being covered in the handout.

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How to Write Excellent Graduate-Level Papers

“How to Write Excellent Graduate-Level Papers” brought to you by the Student Academic Success Center (SASC) at UNE.

Becoming a better writer – the process

Breaking a writing project down into phases helps with motivation as well as managing your time and workload effectively. The phases of the process – prewriting, drafting, revision, and editing – are described below. Each step allows you to focus your energy in a particular way, with it all adding up to a more thoughtful, clear piece of writing.

The phases don’t have to be done in a set, linear order, if that’s not effective for you. If you like to write some rough draft paragraphs first, then go back and do a post-draft outline or revise those paragraphs before continuing, that’s fine. The key is to make sure each part of the process is done thoroughly before you consider your paper finished.

Let’s start with using prewriting to get the process rolling:

Using various prewriting strategies can help you avoid procrastinating and start a draft on the right track. You aren’t under pressure to develop a paper yet – this is about unlocking the flow of ideas. Play around with some of these strategies to find ones that work best for you:

• Tap into your curiosity

When you’re faced with an assignment, spend some time simply wondering about the topic. What intrigues you? Why should you and others in your profession care about it? Come up with a couple of relevant questions that you want to explore. Then consider which questions are most meaningful to you personally and professionally—and why? This can be done on paper, in conversation with someone else, or internally.

• Relate the assignment to your profession

Think about why the assignment is important to your field of study and work as a health professional, a social worker, an educator, etc. Making your assignment as personally and professionally relevant as possible helps with generating the motivation to start writing and keeping the momentum through the process. View this as an opportunity to learn useful information.

• Use the assignment itself as an outline

Copy the assignment and paste it into a new document. Break it apart visually by adding line spaces and/or tabs. This will help you more easily identify key concepts which need to be explained and verbs that indicate critical thinking is required (e.g., analyze, compare, evaluate). Create a rough outline using parts of the assignment as headings for different sections of the paper.

Similarly, you could annotate the assignment by marking up the key words and concepts and making little notes in the margins about what to add or how sections or ideas might tie together.

• Leverage what you already know, and then research with a purpose

Another very helpful strategy is to identify key concepts in the assignment description, then brainstorm what you already know about them based on the class readings or videos. Next, make a list of questions you still have about the concepts and overall topic. These will help drive the additional research needed to fill in your gaps of knowledge and locate credible evidence to support your explanations.

Having those questions makes researching more efficient because you have a purpose for reading: you’re looking for pieces of information rather than simply reading articles.

Read more: Faculty Spotlight: Lori Rand, Writing Specialist at SASC

The drafting phase involves determining your focus and starting to develop paragraph ideas within a structure. Keep a copy of the assignment on your draft as you write. Clarify the point of your paper – what is the main question that the assignment asking you to answer?

Think of a draft as packaging ideas into paragraphs that all relate to the paper’s main focus, as summed up in the thesis statement. For clarity, try to keep each paragraph focused on one idea at a time. However, because this phase is about getting thoughts down, and thoughts often jump around, drafting tends to be messy. That’s okay! The next step, revision, is where you really improve the writing.

In this phase, you can work on improving how you are guiding your reader through your thinking. Your reader will understand your ideas more easily if they are clearly focused, well-developed with specific evidence (correctly cited), and nicely organized.

Two strategies to guide you through revision include SASC’s Revision Checklist and Post-draft Outline, found here under Writing Resources. A writing appointment is also a great way to learn about and practice revision skills.

Editing is the final, polishing phase; it involves correcting sentence-level issues and technical aspects, such as word choice and grammar. Readers pick up these issues quickly because they can be the most obvious. Carelessness with grammar or word choice can lead to misunderstandings and make your writing seem unprofessional.

Trust the process

As mentioned earlier, the writing process is not necessarily a linear, step-by-step approach; it’s recursive, so it’s highly likely you’ll move back and forth between phases as you figure out your focus and organization of ideas.

Using this process gets easier with practice, and it works well in any writing situations, not just for graduate school assignments and scholarly papers.

Once you develop the most efficient method for your learning style, not only will you get faster, you will produce better academic papers.

Book an appointment

The SASC can help with all phases of the writing process via an Online Writing Support Appointment.  Visit the Online Student page for more details about writing support and resources.

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Research paper writing.

Graduate courses will challenge you to write at a professional academic level through seminar papers, major research papers, and reading responses. Learn how to improve and supplement your research and writing skills using the Graduate Writing Lab’s resources and services.

A successful research paper is more than just writing, and the Graduate Writing Lab can help you with any and all of the steps along the way:

• Reading primary and secondary sources effectively
• Note-taking strategies
• Managing sources
• Forming your argument
• Creating an outline
• Analysis and structure
• Editing and revision strategies

Research Paper Writing in the Sciences

• Writing an APA-Style Empirical Paper
• Research Paper Writing in the Natural Sciences
• Figure Making in the Natural Sciences
• Research Paper Writing in the Humanities
• From Note-Taking to Outlining: Beginning the Writing Process in Humanities Research Papers

For help with your research paper in progress, please take advantage of our Individual Writing Consultations and our Workshops . For additional support, you can join one of our research paper Peer-Review Groups .

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Undergrads can get help with every kind of writing.

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For graduate students looking for expert advice on planning, drafting, and revising their research paper, dissertation, presentation, or any other writing project.

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APA Writing Guide: Formatting for Graduate Students

• Formatting for Undergraduates
• Formatting for Graduate Students
• In-text Citations
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Writing Center

The Liberty University Writing Center is available to provide writing coaching to students. Residential students should contact the  On-Campus Writing Center  for assistance. Online students should contact the  Online Writing Center  for assistance.

General Rules

Liberty University has determined that graduate students will use APA 7’s formatting guidelines for professional papers. To assist you, Liberty University's Writing Center provides a template paper and a  sample paper .

For professional papers, the following four sections are required: 

• Title Page with Running Head
• Abstract with Keywords
• Reference List

Here are a few things to keep in mind as you format your paper:

• Fonts  - LU recommends that papers be typed in 12-point Times New Roman or 11-point Calibri fonts.  
• Use only one space at the end of each sentence in the body of your paper.
• In general, APA papers should be double spaced throughout. A list of exceptions can be found here.
• To make sure that your paper is double spaced throughout,  select the text ,  right click , select ' Paragraph ,' and look under the section ' Line Spacing ' as shown below:

• Margins/Alignment  - Your paper should use 1-inch margins on standard-sized paper (8.5' X 11'). Make sure that you use  Align Left  (CTRL + L) on the paper, except for the title page.  
•   Indentation – The first sentence in each new paragraph in the body of the paper should be indented a half inch. The abstract, however, should not be indented. References use hanging indentation .  
• Headings:   Please note that all headings are in title case. Level 1 headings should be centered (and in bold), and Level 2 and 3 headings should be left-aligned (and in bold or bold italic, respectively). Level 4 and 5 headings are indented like regular paragraphs. An example of formatting headings in a paper is available here

Title Page: When setting up the professional title page, please note the following elements should be present on the page:

• There is no limit to the number of words in the title.
• Add an extra blank double-spaced line between the title and author’s name.
• Name of each author (centered)
• Name of department and institution/affiliation (centered)
• Place the author note in the bottom half of the title page. Center and bold the label “Author Note.” Align the paragraphs of the author note to the left. For an example, see the LU Writing Center template for graduate students here .
• Page number in top right corner of the header, starting with page 1 on the title page
• The running head is an abbreviated version of the title of your paper (or the full title if the title is already short).
• Type the running head in all-capital letters.
• Ensure the running head is no more than 50 characters, including spaces and punctuation.
• The running head appears in the same format on every page, including the first page.
• Do not use the label “Running head:” before the running head.
• Align the running head to the left margin of the page header, across from the right-aligned page number.

Abstract Page: The abstract page includes the abstract and related keywords.

The abstract is a brief but comprehensive summary of your paper. Here are guidelines for formatting the abstract:

• It should be the second page of a professional (graduate level) paper.
• The first line should say “Abstract” centered and in bold.
• The abstract should start one line below the section label.
• It should be a single paragraph and should not be indented.
• It should not exceed 250 words.

Keywords are used for indexing in databases and as search terms. Your keywords should capture the most important aspects of your paper in three to five words, phrases, or acronyms. Here are formatting guidelines:

• Label “ Keywords ” one line below the abstract, indented and in italics (not bolded).
• The keywords should be written on the same line as and one space after the label “ Keywords ”.
• The keywords should be lowercase (but capitalize proper nouns) and not italic or bold.
• Each keyword should be separated by a comma and a space and followed by a colon.
• There should be no ending punctuation.
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• Next: In-text Citations >>
• Last Updated: Aug 29, 2023 11:29 AM
• URL: https://libguides.liberty.edu/APAguide

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How to Read Research Papers: A Cheat Sheet for Graduate Students

• August 4, 2022
• PRODUCTIVITY

It is crucial to stay on top of the scientific literature in your field of interest. This will help you shape and guide your experimental plans and keep you informed about what your competitors are working on.

To get the most out of your literature reading time, you need to learn how to read scientific papers efficiently. The problem is that we simply don’t have enough time to read new scientific papers in our results-driven world. 

It takes a great deal of time for researchers to learn how to read research papers. Unfortunately, this skill is rarely taught.

I wasted a lot of time reading unnecessary papers in the past since I didn’t have an appropriate workflow to follow. In particular, I needed a way to determine if a paper would interest me before I read it from start to finish.

So, what’s the solution?

This is where I came across the Three-pass method for reading research papers. 

Here’s what I’ve learned from using the three pass methods and what tweaks I’ve made to my workflow to make it more personalized.

Build time into your schedule 

Before you read anything, you should set aside a set amount of time to read research papers. It will be very hard to read research papers if you do not have a schedule because you will only try to read them for a week or two, and then you will feel frustrated. An organized schedule reduces procrastination significantly.

 For example, I take 30-40 minutes each weekday morning to read a research paper I come across.

After you have determined a time “only” to read research papers, you have to have a proper workflow.

Develop a workflow

For example, I follow a customized version of the popular workflow, the “Three-pass method”. 

When you are beginning, you may follow the method exactly as described, but as you get more experienced, you can make some changes down the road.

Why you shouldn’t read the entire paper at once?

Oftentimes, the papers you think are so important and that you should read every single word are actually worth only 10 minutes of your time.

Unlike reading an article about science in a blog or newspaper, reading research papers is an entirely different experience. In addition to reading the sections in a different order, you must take notes, read them several times, and probably look up other papers for details. 

It may take you a long time to read one paper at first. But that’s okay because you are investing yourself in the process.

However, you’re wasting your time if you don’t have a proper workflow. 

Oftentimes, reading a whole paper might not be necessary to get the specific information you need.

The Three-pass concept

The key idea is to read the paper in up to three passes rather than starting at the beginning and plowing through it. With each pass, you accomplish specific goals and build upon the previous one.

The first pass gives you a general idea of the paper. A second pass will allow you to understand the content of the paper, but not its details. A third pass helps you understand the paper more deeply.

The first pass (Maximum: 10 minutes)

The paper is scanned quickly in the first pass to get an overview. Also, you can decide if any more passes are needed. It should take about five to ten minutes to complete this pass.

Carefully read the title, abstract, and introduction

You should be able to tell from the title what the paper is about. In addition, it is a good idea to look at the authors and their affiliations, which may be valuable for various reasons, such as future reference, employment, guidance, and determining the reliability of the research.

The abstract should provide a high-level overview of the paper. You may ask, What are the main goals of the author(s) and what are the high-level results? There are usually some clues in the abstract about the paper’s purpose. You can think of the abstract as a marketing piece.

As you read the introduction, make sure you only focus on the topic sentences, and you can loosely focus on the other content.

What is a topic sentence?

Topic sentences introduce a paragraph by introducing the one topic that will be the focus of that paragraph. 

The structure of a paragraph should match the organization of a paper. At the paragraph level, the topic sentence gives the paper’s main idea, just as the thesis statement does at the essay level. After that, the rest of the paragraph supports the topic.

In the beginning, I read the whole paragraph, and it took me more than 30 minutes to complete the first pass. By identifying topic sentences, I have revolutionized my reading game, as I am now only reading the summary of the paragraph, saving me a lot of time during the second and third passes.

Read the section and sub-section headings, but ignore everything else 

Regarding methods and discussions, do not attempt to read even topic sentences because you are trying to decide whether this article is useful to you.

Reading the headings and subheadings is the best practice. It allows you to get a feel for the paper without taking up a lot of time.

Read the conclusions

It is standard for good writers to present the foundations of their experiment at the beginning and summarize their findings at the end of their paper.

Therefore, you are well prepared to read and understand the conclusion after reading the abstract and introduction.

Many people overlook the importance of the first pass. In adopting the three-pass method into my workflow, I realized that many papers that I thought had high relevance did not require me to spend more time reading. 

Therefore, after the first pass, I can decide not to read it further, saving me a lot of time.

Glance over the references

You can mentally check off the ones you’ve already read.

As you read through the references, you will better understand what has been studied previously in the field of research.

First pass objectives

At the end of the first pass, you should be able to answer these questions: 

• What is the  category  of this paper? Is it an analytical paper? Is it only an “introductory” paper? (if this is the case, probably, you might not want to read further, but it depends on the information you are after)or is it an argumentative research paper?
• Does the  context  of the paper serve the purpose for what you are looking for? If not, this paper might not be worth passing on to the second stage of this method.
• Does the basic logic of the paper seem to be valid? How do you comment on the  correctness  of the paper?
• What is the main  output  of the paper, or is there output at all?
• Is the paper well written? How do you comment on the  clarity  of the paper?

After the first pass, you should have a good idea whether you want to continue reading the research paper.

Maybe the paper doesn’t interest you, you don’t understand the area enough, or the authors make an incorrect assumption. 

In the first pass, you should be able to identify papers that are not related to your area of research but may be useful someday. 

You can store your paper with relevant tags in your reference manager, as discussed in the previous blog post in the  Bulletproof Literature Management System  series.

This is the third post of the four-part blog series:  The Bulletproof Literature Management System . Follow the links below to read the other posts in the series:

• How to How to find Research Papers
• How to Manage Research Papers
• How to Read Research Papers (You are here)
• How to Organize Research Papers

The second pass (Maximum: 60 minutes)

You are now ready to make a second pass through the paper if you decide it is worth reading more.

You should now begin taking some high-level notes because there will be words and ideas that are unfamiliar to you. 

Most reference managers come with an in-built PDF reader. In this case, taking notes and highlighting notes in the built-in pdf reader is the best practice. This method will prevent you from losing your notes and allow you to revise them easily.

Don’t be discouraged by everything that does not make sense. You can just mark it and move on. It is recommended that you only spend about an hour working on the paper in the second pass. 

In the second pass:

• Start with the abstract, skim through the introduction, and give the methods section a thorough look. 
• Make sure you pay close attention to the figures, diagrams, and other illustrations on the paper. By just looking at the captions of the figures and tables in a well-written paper, you can grasp 90 percent of the information. 
• It is important to pay attention to the overall methodology . There is a lot of detail in the methods section. At this point, you do not need to examine every part. 
• Read the results and discussion sections to better understand the key findings.
• Make sure you mark the relevant references in the paper so you can find them later.

Objectives of the second pass

You should be able to understand the paper’s content. Sometimes, it may be okay if you cannot comprehend some details. However, you should now be able to see the main idea of the paper. Otherwise, it might be better to rest and go through the second pass without entering the third. 

This is a good time to summarize the paper. During your reading, make sure to make notes.

After the second pass, you can: 

• Return to the paper later(If you did not understand the basic idea of the paper)
• Move onto the thirst pass.

The third pass (Maximum: four hours)

You should go to the third stage (the third pass) for a complete understanding of the paper. It may take you a few hours this time to read the paper. However, you may want to avoid reading a single paper for longer than four hours, even at the third pass.

A great deal of attention to detail is required for this pass. Every statement should be challenged, and every assumption should be identified.

By the third pass, you will be able to summarize the paper so that not only do you understand the content, but you can also comment on limitations and potential future developments.

Color coding when reading research papers

Highlighting is one way I help myself learn the material when I read research papers. It is especially helpful to highlight an article when you return to it later. 

Therefore, I use different colors for different segments. To manage my references, I use Zotero. There is an inbuilt PDF reader in Zotero. I use the highlighting colors offered by this software. The most important thing is the concept or phrase I want to color code, not the color itself.

Here is my color coding system.

• Problem statement: Violet
• Questions to ask: Red (I highlight in red where I want additional questions to be asked or if I am unfamiliar with the concept)
• Conclusions: Green (in the discussion section, authors draw conclusions based on their data. I prefer to highlight these in the discussion section rather than in the conclusion section since I can easily locate the evidence there)
• Keywords: Blue
• General highlights and notes: Yellow

Minimize distractions

Even though I’m not a morning person, I forced myself to read papers in the morning just to get rid of distractions. In order to follow through with this process (at least when you are starting out), you must have minimum to no distractions because research papers contain a great deal of highly packed information.

It doesn’t mean you can’t have fun doing it, though. Make a cup of coffee and enjoy reading!

Images courtesy : Online working vector created by storyset – www.freepik.com

Aruna Kumarasiri

Founder at Proactive Grad, Materials Engineer, Researcher, and turned author. In 2019, he started his professional carrier as a materials engineer with the continuation of his research studies. His exposure to both academic and industrial worlds has provided many opportunities for him to give back to young professionals.

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1000+ FREE Research Topics & Title Ideas

Select your area of interest to view a collection of potential research topics and ideas.

Or grab the full list 📋 (for free)

PS – You can also check out our free topic ideation webinar for more ideas

How To Find A Research Topic

If you’re struggling to get started, this step-by-step video tutorial will help you find the perfect research topic.

Research Topic FAQs

What (exactly) is a research topic.

A research topic is the subject of a research project or study – for example, a dissertation or thesis. A research topic typically takes the form of a problem to be solved, or a question to be answered.

A good research topic should be specific enough to allow for focused research and analysis. For example, if you are interested in studying the effects of climate change on agriculture, your research topic could focus on how rising temperatures have impacted crop yields in certain regions over time.

To learn more about the basics of developing a research topic, consider our free research topic ideation webinar.

What constitutes a good research topic?

A strong research topic comprises three important qualities : originality, value and feasibility.

• Originality – a good topic explores an original area or takes a novel angle on an existing area of study.
• Value – a strong research topic provides value and makes a contribution, either academically or practically.
• Feasibility – a good research topic needs to be practical and manageable, given the resource constraints you face.

To learn more about what makes for a high-quality research topic, check out this post .

What's the difference between a research topic and research problem?

A research topic and a research problem are two distinct concepts that are often confused. A research topic is a broader label that indicates the focus of the study , while a research problem is an issue or gap in knowledge within the broader field that needs to be addressed.

To illustrate this distinction, consider a student who has chosen “teenage pregnancy in the United Kingdom” as their research topic. This research topic could encompass any number of issues related to teenage pregnancy such as causes, prevention strategies, health outcomes for mothers and babies, etc.

Within this broad category (the research topic) lies potential areas of inquiry that can be explored further – these become the research problems . For example:

• What factors contribute to higher rates of teenage pregnancy in certain communities?
• How do different types of parenting styles affect teen pregnancy rates?
• What interventions have been successful in reducing teenage pregnancies?

Simply put, a key difference between a research topic and a research problem is scope ; the research topic provides an umbrella under which multiple questions can be asked, while the research problem focuses on one specific question or set of questions within that larger context.

How can I find potential research topics for my project?

There are many steps involved in the process of finding and choosing a high-quality research topic for a dissertation or thesis. We cover these steps in detail in this video (also accessible below).

How can I find quality sources for my research topic?

Finding quality sources is an essential step in the topic ideation process. To do this, you should start by researching scholarly journals, books, and other academic publications related to your topic. These sources can provide reliable information on a wide range of topics. Additionally, they may contain data or statistics that can help support your argument or conclusions.

Identifying Relevant Sources

When searching for relevant sources, it’s important to look beyond just published material; try using online databases such as Google Scholar or JSTOR to find articles from reputable journals that have been peer-reviewed by experts in the field.

You can also use search engines like Google or Bing to locate websites with useful information about your topic. However, be sure to evaluate any website before citing it as a source—look for evidence of authorship (such as an “About Us” page) and make sure the content is up-to-date and accurate before relying on it.

Evaluating Sources

Once you’ve identified potential sources for your research project, take some time to evaluate them thoroughly before deciding which ones will best serve your purpose. Consider factors such as author credibility (are they an expert in their field?), publication date (is the source current?), objectivity (does the author present both sides of an issue?) and relevance (how closely does this source relate to my specific topic?).

By researching the current literature on your topic, you can identify potential sources that will help to provide quality information. Once you’ve identified these sources, it’s time to look for a gap in the research and determine what new knowledge could be gained from further study.

How can I find a good research gap?

Finding a strong gap in the literature is an essential step when looking for potential research topics. We explain what research gaps are and how to find them in this post.

How should I evaluate potential research topics/ideas?

When evaluating potential research topics, it is important to consider the factors that make for a strong topic (we discussed these earlier). Specifically:

• Originality
• Feasibility

So, when you have a list of potential topics or ideas, assess each of them in terms of these three criteria. A good topic should take a unique angle, provide value (either to academia or practitioners), and be practical enough for you to pull off, given your limited resources.

Finally, you should also assess whether this project could lead to potential career opportunities such as internships or job offers down the line. Make sure that you are researching something that is relevant enough so that it can benefit your professional development in some way. Additionally, consider how each research topic aligns with your career goals and interests; researching something that you are passionate about can help keep motivation high throughout the process.

How can I assess the feasibility of a research topic?

When evaluating the feasibility and practicality of a research topic, it is important to consider several factors.

First, you should assess whether or not the research topic is within your area of competence. Of course, when you start out, you are not expected to be the world’s leading expert, but do should at least have some foundational knowledge.

Time commitment

When considering a research topic, you should think about how much time will be required for completion. Depending on your field of study, some topics may require more time than others due to their complexity or scope.

Additionally, if you plan on collaborating with other researchers or institutions in order to complete your project, additional considerations must be taken into account such as coordinating schedules and ensuring that all parties involved have adequate resources available.

Resources needed

It’s also critically important to consider what type of resources are necessary in order to conduct the research successfully. This includes physical materials such as lab equipment and chemicals but can also include intangible items like access to certain databases or software programs which may be necessary depending on the nature of your work. Additionally, if there are costs associated with obtaining these materials then this must also be factored into your evaluation process.

Potential risks

It’s important to consider the inherent potential risks for each potential research topic. These can include ethical risks (challenges getting ethical approval), data risks (not being able to access the data you’ll need), technical risks relating to the equipment you’ll use and funding risks (not securing the necessary financial back to undertake the research).

Need hands-on help?

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Graduate-level writing

When you're an undergraduate, writing at the graduate level may seem intimidating. Maybe your upper-level course professors say they expect graduate-level writing, or maybe you're planning to go to grad school, and you want to know what to expect. Ultimately, however, learning to write at the graduate level, no matter where you are in your academic career, will help you improve your writing skills.

Undergraduate vs graduate expectations

Undergraduate and graduate level writing have a number of differences, but your undergraduate writing experience serves as a foundation for moving on to the graduate level.

Undergraduate

• Writing to prompts
• Presents what others have said
• Some exploratory research
• Some synthesis of sources
• General academic audience/professor
• Basic academic essay structure
• Some revision expected
• Writing done as an assessment
• Coming up with your own research question
• Enters the conversation with your own contribution
• Extensive and comprehensive research
• Extensive synthesis of many sources
• Audience of other scholars and professionals in the field
• Formatting specific to research papers or the field
• Multiple extensive revisions expected
• Writing done to contribute to the field

Overall purpose

There are two main paths for a graduate degree: professional and research. Professional graduate degrees (like a law degree, master's in social work or master's in business administration) prepare you for what is expected in a workplace in your field. Research graduate degrees (especially Ph.D.s) are generally meant for academia and participating in scholarly conversation.

Professional

• Case studies, memos, etc.
• For example, a social work or psychology professional degree will likely involve a lot of case studies. A law degree will involve legal memos and briefs.
• Each kind of writing will have its own specific requirements that you will need to understand.
• You will be able to find examples from your field to use as models for your own writing.
• Even professional degrees will still expect you to do some research.
• Research papers, proposals, conference papers, etc.
• The main point of a research degree is participating in your field as an academic rather than a practitioner (though you may do both).
• This will usually involve some sort of research paper, which may be more involved and in-depth than any you wrote as an undergrad.
• You may write research papers specifically to get them published in academic journals.
• You may write research proposals to ask to get your research funded.
• You may write conference papers to present at academic conferences.

Elements of graduate-level writing

At the graduate level your professors will generally expect you to demonstrate expertise, competence, and professionalism.

This will vary at least somewhat between programs, but most of the time, you can expect to write longer papers in grad school. Many master's degree course papers are supposed to be between 15 and 20 pages. Many graduate programs will ask you to write a thesis or capstone paper, which are going to be even longer.

The reason graduate papers tend to be longer is that they are expected to have greater depth . This will require a lot more knowledge and use of background material.

• For instance, you may remember a Core Humanities class where you wrote a paper about the Epic of Gilgamesh . If you go on to a history or literature graduate degree and write another paper about Gilgamesh, you won't just be expected to draw from the Epic of Gilgamesh . You'll need to know about ancient Mesopotamia and how the epic fits into the society, and you'll need to know about other similar poems or literature to engage in academic writing.

Basically, you will need to be able to draw a lot of knowledge and detail from many more sources.

Synthesizing outside sources

A lot of the depth required for research papers comes from synthesizing information from a lot of different sources. In graduate writing using 10 sources is considered a minimum, but you may find that the research you're doing requires more.

Synthesis asks how your sources work together. How are they in conversation with each other? What information can you draw out from multiple sources to draw a conclusion of your own?

• Returning to the Epic of Gilgamesh example—maybe you want to write about how well the roles of women in the Epic of Gilgamesh reflected societal expectations. Maybe you've found books and articles describing women's roles in ancient Mesopotamia. If one source talks about how the religion treats women and another talks about the household roles, you might discuss those together in terms of how the religion reflects household roles.

Reading and evaluating scholarly articles

Like synthesis, you may have some experience reading and evaluating scholarly articles, but graduate school will require even more. Specifically, you will need to develop a better understanding of how to evaluate and critique scholarly articles. It's important to be able to critique articles for multiple reasons:

• If you can identify gaps in the author's research, that might be an opportunity for you to fill that gap yourself with your own research.
• If the article has something that makes it less credible (for instance, less reliable or generalizable), then you want to know that, so you can use and contextualize the article properly in your own discussion.

Critical thinking

This was probably implied by all the previous elements, but graduate writing will stretch and develop your critical thinking skills. Critically thinking about your topic will allow you to write about your topic with length and depth, while synthesizing and critiquing your sources.

Logic and organization

Your paper as a whole will need to be logically organized. Because graduate papers tend to be long, they are often broken up into sections. These sections should connect logically and build on each other.

• For instance, a research paper often has the following sections in this order: introduction, literature review, methods, results, discussion and conclusion.

They go in that order because each of the previous sections provides context and information for the next.

• Develop an order that makes logical sense to you based on your goals. As long as each section builds on the previous, your readers will likely still be able to follow it.

Your arguments will also need to be logically organized. This means that each step of the logic chain is explained and also builds on each other.

• You need to be able to explain the logic forwards and backwards—this leads to this, which leads to this, that is because of that, which is because of that.

Try not to skip steps in the logic chain because that creates weak points in your argument.

Use of language

Your diction (word choice) should be professional, rather than casual or overdone. This usually requires an extensive vocabulary because part of being professional means choosing the right word to explain your concept. Do not just go to a thesaurus to find a fancy-sounding synonym. Words have nuance, and often the synonyms listed in a thesaurus have meanings that are just slightly different.

• Some fields have specific guidelines for usage, such as person-first language (e.g. “person with a disability” rather than “disabled person”).
• Understand usage in your field in order to appropriately discuss your topic.
• Sciences often expect the use of passive voice, while the humanities prefer active.
• Instead of  "What did ancient Mesopotamia believe about the roles of women?" state "Ancient Mesopotamia believed the roles of women were…".
• Avoid qualifiers like "I think" and "I believe," which soften your statement by introducing the idea that you might be wrong.
• You are making an argument and trying to present yourself as an authority, you want to show why your argument is credible.
• Figurative language can soften your authority by compromising your professionalism (even slightly).

Spelling, grammar and punctuation

Your undergraduate professors will likely have also expected excellent spelling, grammar, and punctuation, but those expectations will be heightened in graduate school. There are two major reasons for this.

• The first is professionalism because correct spelling, grammar and punctuation show that you took care with your writing.
• The second is that spelling, grammar and punctuation are all meant to facilitate clear communication, so incorrect use can muddle your meaning.

Sentence variety

Higher levels of writing require variation in sentence structure. This means understanding when to use shorter sentences, when to use longer sentences, and how to use longer sentences. Sentence variety helps keep readers engaged by avoiding the potential monotony of one kind of sentence; it also helps you decide how to communicate your point.

• Short sentences are punchy. They make your point quickly. They emphasize the point by letting it stand on its own.
• Long sentences connect multiple thoughts together, and they should therefore be used when you need to connect thoughts and ideas. Not all thoughts need to be connected, which is when short sentences are appropriate; however, when you want to demonstrate that your ideas should be connected closely, making them part of the same sentence shows that.

Concision is using only the words necessary to convey your idea, eliminating redundancy and removes extra words that might muddle your idea. Writing concisely will improve the clarity of your writing and allow you to communicate your thoughts more understandably.

If you have a graduate professor with a page or word count requirement, and you're not sure you'll be able to meet it, add more depth rather than more words . This can be done by doing more research or expanding your research question.

• You may be used to "padding" undergraduate papers. Maybe sometimes your professor gave you a page or word count requirement and you were concerned about being able to meet it, so perhaps you tried to explain things in multiple ways or tried to find other, not necessarily relevant, things to add. This is discouraged in graduate-level writing.

Correct and thorough citation

Academics really care about correct attribution. They care that authors are given credit where credit is due. This is why plagiarism is taken so seriously in academia, and why anyone who wants to contribute to scholarly conversations must ensure they are providing that credit.

You should cite any time an idea does not come purely from you.

• If you have an idea, but it was derived from an article you read, cite the article. If you are bringing up a concept you learned from an article, cite the article. Definitely, if you are discussing or quoting an outside source, cite the source. It is better to over-cite than under-cite.

Whatever citation style is used most commonly in your field, you will come to know very well. It may even be helpful to get your own copy of the citation manual. Graduate research will often require the study of some uncommon sources that have their own particular citation requirements.

Time management

Do not expect to write papers a day or two before.

• You will need time to do extensive research, write and revise.
• For a regular class assignment, you might want anywhere from a few days to a few weeks to revise
• For bigger projects like a thesis, a dissertation or a paper you're submitting to an academic journal, you will likely need months to revise.
• Make sure to plan that kind of time.

Davenport, D. (n.d.) Graduate Level Writing Tips: Definitions, Do's, and Don'ts. Purdue Online. https://online.purdue.edu/blog/communication/graduate-level-writing-tips

Graduate Level Writing . (n.d.) University of Maryland. https://www.umaryland.edu/media/umb/oaa/campus-life/writing-center/documents/Graduate-level-Writing.pdf

Heady, E. (2007). Introduction to Graduate Writing. Liberty University Graduate Writing Center. https://www.liberty.edu/media/1136/Introduction%20to%20Graduate%20Writing%20(full%20text).pdf

 Undergraduate vs. Graduate Writing . (n.d.) Bridgepoint Education. https://content.bridgepointeducation.com/curriculum/file/7ebeeaa0-dd79-4265-8c35-e44f93bb09a4/1/Undergraduate%20vs%20Graduate%20Writing.pdf

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5 Tips for Writing a Successful Graduate-Level Paper

Writing is a challenge even for the best of writers, and for many graduate students it is their most daunting task. However, writing is a powerful tool in the learning process because it requires us to explore ideas, to think critically, and to apply what we have learned in new and meaningful ways.

Tip # 1: “Be proactive” and “Begin with the end in mind”

These concepts from Stephen Covey’s (1989) Seven Habits of Highly effective People are applicable to the writing process. Good writing begins with good thinking. Before you can begin to write, you have to understand the assignment, the instructor’s expectations, and the topic you plan to write about. Begin the project on the day it is assigned; break it down into its various components, and come up with a plan for how and when to complete each part.

“Be Proactive”

• Understand the assignment. Get clarification from the instructor about process and expectations. Be sure you understand the requirements and follow directions.
• Identify audience and purpose. Is the assignment formal or informal? Who will be reading the assignment? What is its purpose? Are you writing to inform, to explain a process, or to present an argument?
• Plan ahead. Do not wait until just before the due date to begin writing.
• Remember that writing is a recursive process and as you find information, you may find you have more questions; or different questions; or you may find you have gone in one direction only to find you have to backtrack to take a different position.
• Have the tools you need – an APA Style Manual, access to library databases; word processing.

“Begin with the end in mind”

• Think about the topic; let ideas ruminate in your head; think when you shower, walk, or drive, when you are lying in bed trying to fall asleep. Dream about the topic! Talk to others about your ideas or thoughts on the subject.
• Begin with a research question – what do you want to know, what do you need to know?
• Draw up a schedule for when you will work on each part of the writing process. Remember, you may have to adjust your plan as you go along.
• Get information – research. Question what you read. Annotate and take notes. Talk to others about what you read.
• Evaluate sources and keep an open mind. Look for sources on both sides of an issue. Do not dismiss an article just because you disagree with its premise.

Tip # 2 Organize and Draft

• Once you have analyzed and thought about the information, formulate a plan to present the ideas. Then begin writing.
• Write a thesis. Make a claim. Understand that you may have to adjust or change it as you write.
• Organize: group related information. Create an outline or graphic organizer to see how ideas relate to one another.
• Decide on order– will you present the most important ideas first or will you save them for last and build up to them?
• Write a rough draft.
• Clear your mind. Put the draft away for a day.

Tip # 3 Revise, revise, revise

This step is one of the most important in the writing process, and the most difficult because you have to be willing to make big changes or to let material and ideas you have become attached to, go; you may have to cut sentences and paragraphs you have worked so hard to construct; or you may have to eliminate quotes you love but that really do not support your claim. Approach this part of the process with a clear and critical mind. Ask yourself some basic questions: Have I proven my claim? Have I presented enough evidence in support of that claim? Is there anything here that does not directly relate to my claim?

Look at the big picture.

• Have you proven your claim with logic and solid evidence? Do you need to add more specific examples or evidence? If you are writing an argument, have you included an opposing view and rebuttal?
• Look for sentences and ideas that do not support the claim and delete them.
• Begin each paragraph with a topic sentence that relates to the thesis and which tells the reader what the paragraph will be about.
• Does the introduction provide enough background information about the topic? Does it explain the problem or provide context for the claim?
• Does the conclusion offer a new perspective or insight on the topic? Does it offer an expanded thought and does it reiterate the key points of your argument without being repetitive?

Look at the smaller details

• Have you included transition words, phrases, or sentences to link ideas and paragraphs?
• Are the sentences clearly worded? If you have to read them more than once, they will probably be unclear to your reader.
• Check for sentence fragments, comma splices, and run-ons.
• Check sentences for conciseness. Eliminate unnecessary words, jargon, biased language or repetitive sentences.
• Check for sentence variety; use a good mix of simple, compound, and complex sentences.
• Check verbs – use active voice; substitute strong action verbs for weaker verbs.

Tip # 4 Use your resources

It is always helpful to get another perspective on something you have written. A fresh set of eyes can see things you may not be able to see because you are so close the material. You know what you want to say and what you are thinking, and you know what the research says on your topic, but the reader does not. Your writing has to be crystal clear, so it helps to have someone else read your work.

• Have a friend or spouse read the paper to check for any unclear sentences or ideas.
• Send your paper to the writing tutors at Smarthinking to get feedback.
• Consult with librarians for help with research or APA formatting.

Tip 5 # Edit and proofread

As a final step, always edit the paper for grammar, punctuation, and mechanics; then proofread for missing or wrong words or misplaced commas. Check to see that you have met the requirements of the assignment. Check word count/page length; correct type and number of sources; in-text citations; references, cover page or other format requirements.

Check for some of these common errors:

• Subject-verb agreement
• Tense shifts
• Incorrect pronoun use
• Mixed constructions or dangling modifiers

Punctuation

• Colons and semi-colons
• Quotation marks
• Capitalization

Some final hints

• Read the paper out loud to catch those mistakes your mind corrects automatically.
• Try reading the paper backwards line by line to catch odd or incorrect words.
• Take a break when revising and editing – step away – clear your mind; rest your eyes.

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Harvard University Theses, Dissertations, and Prize Papers

The Harvard University Archives ’ collection of theses, dissertations, and prize papers document the wide range of academic research undertaken by Harvard students over the course of the University’s history.

Beyond their value as pieces of original research, these collections document the history of American higher education, chronicling both the growth of Harvard as a major research institution as well as the development of numerous academic fields. They are also an important source of biographical information, offering insight into the academic careers of the authors.

Spanning from the ‘theses and quaestiones’ of the 17th and 18th centuries to the current yearly output of student research, they include both the first Harvard Ph.D. dissertation (by William Byerly, Ph.D . 1873) and the dissertation of the first woman to earn a doctorate from Harvard ( Lorna Myrtle Hodgkinson , Ed.D. 1922).

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• The 1895 Ph.D. dissertation of W.E.B. Du Bois, The suppression of the African slave trade in the United States, 1638-1871
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If you're a Harvard undergraduate writing your own thesis, it can be helpful to review recent prize-winning theses. The Harvard University Archives has made available for digital lending all of the Thomas Hoopes Prize winners from the 2019-2021 academic years.

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Methodology

• How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

• Search for relevant literature
• Evaluate sources
• Identify themes, debates, and gaps
• Outline the structure
• Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

• Quick Run-through
• Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

• Demonstrate your familiarity with the topic and its scholarly context
• Develop a theoretical framework and methodology for your research
• Position your work in relation to other researchers and theorists
• Show how your research addresses a gap or contributes to a debate
• Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

• Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
• Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
• Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
• Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

• Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
• Body image, self-perception, self-esteem, mental health
• Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

• Your university’s library catalogue
• Google Scholar
• Project Muse (humanities and social sciences)
• Medline (life sciences and biomedicine)
• EconLit (economics)
• Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

• What question or problem is the author addressing?
• What are the key concepts and how are they defined?
• What are the key theories, models, and methods?
• Does the research use established frameworks or take an innovative approach?
• What are the results and conclusions of the study?
• How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
• What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

• Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
• Themes: what questions or concepts recur across the literature?
• Debates, conflicts and contradictions: where do sources disagree?
• Pivotal publications: are there any influential theories or studies that changed the direction of the field?
• Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

• Most research has focused on young women.
• There is an increasing interest in the visual aspects of social media.
• But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

• Look at what results have emerged in qualitative versus quantitative research
• Discuss how the topic has been approached by empirical versus theoretical scholarship
• Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

• Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
• Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
• Critically evaluate: mention the strengths and weaknesses of your sources
• Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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

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

 Statistics

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

Research bias

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

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarize yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

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Since 2001, the mack institute has provided over $4.5 million in funding toward more than 600 projects that advance our four research priorities . the result is a cross-industry body of research covering paradigm-shifting technologies and innovation strategy. we invite you to browse our archive of research below., search all papers.

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Latest research, research spotlight: david hsu on effective industry-university collaboration.

Collaboration between industry and academia drives innovation forward, but creating a successful partnership—and measuring its impact—is more challenging than it might appear. We spoke to Wharton’s David Hsu about his new paper, forthcoming in Management Science, on what makes industry-university collaboration successful, the importance of viewing innovation as a long-term investment, and why you can ... Read More

The Role of Large Language Models in Educational Simulations

Mack Institute Research Assistant Lennart Meincke and Wharton Associate Professor of Management Andrew Carton have released a new working paper in our series of working papers on ChatGPT spearheaded by Mack Faculty Director Christian Terwiesch. The new paper, entitled “Beyond Multiple Choice: The Role of Large Language Models in Educational Simulations,” compares feedback on student ... Read More

Increasing AI Idea Variance

Mack Institute Research Assistant Lennart Meincke, Wharton Professor Ethan Mollick and Mack Institute Co-Director and Wharton Professor Christian Terwiesch have published the next in Terwiesch’s series of working papers on ChatGPT. The new paper evaluates how LLMs can be used for idea generation and explores methods to increase the novelty, quality and dispersion of AI-generated ... Read More

Consumer Preferences and Firm Technology Choice

Advances in technology change the way consumers search and shop for products. Emerging is the trend of home-shopping devices such as Amazon’s Alexa and Google Home, which allow consumers to search or order products. We investigate how consumer brand and technology preferences may interact with the functionalities of technology-enabled shopping (TES) devices to determine the ... Read More

Can AI Provide Ethical Advice?

Christian Terwiesch, Mack Institute co-director and Wharton Professor of Operations, Information and Decisions, continues his exploration of Generative AI with a new paper entitled “Can AI Provide Ethical Advice?” Co-authored with Lennart Meincke, the paper details an experiment that pits advice from the New York Times famous “The Ethicist” column against advice generated by ChatGPT. The ... Read More

Preparing Organizations for Greater Turbulence

Vigilant organizations excel at seeing looming threats and embryonic opportunities sooner than rivals, which prepares them to act faster when needed. Four drivers distinguish vigilant from vulnerable organizations, which can be used to design a roadmap to improve organizational acuity and preparedness. Read More

Private Equity as an Intermediary in the Market for Corporate Assets

We examine the role of non-venture private equity (PE) firms as intermediaries in the market for corporate assets. We argue that in order to create and capture value by acquiring established businesses and selling them to corporate buyers, PE firms must possess at least one of three potential advantages: they must be able to identify ... Read More

Examining Effects of Company Pages on Job Ad Effectiveness

In this study, we aim to quantify the impact of information provision on jobseeker attention and applications. We explore how firms may improve job ad effectiveness through obtaining and maintaining a “company page” on an online job search platform. We study the implications of these firm actions on job ad performance and for jobseekers’ search. ... Read More

Algorithmic Governance: The Case of Decentralized Exchanges on Blockchains

This project studies how algorithmic governance affect economic coordination in the context of blockchain-based organizations. Specifically, the project studies the algorithmic governance structures adopted among decentralized exchange protocols deployed on blockchains. The project documents and develops frameworks to understand variation in the kinds of structures adopted. In addition, the project examines how the adoption of ... Read More

Cash or Equity? Employees’ Compensation and the Gender of the Startup Founder

We extend recent studies on how gender shapes subordinate-supervisor interactions by documenting that employees may, under some conditions, negatively stereotype female supervisors in ways that make them more risk averse when choosing the form of compensation. we use employer-employee matched data from Sweden for the period 1991-2021 to assess whether an employee’s chosen compensation in ... Read More

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Research explores perception versus reality around parental alienation

By CSU MarComm Staff

Researchers at Colorado State University have published findings in the International Journal of Social Welfare that explore the public perception that courts often dismiss mothers’ allegations of domestic violence and child abuse when fathers claim parental alienation by the mother.

Graduate student Hesam Varavei was the first author on the paper and is a part of Associate Professor Jennifer Harman ’s group in the Department of Psychology. Harman’s team has studied parental alienation in multiple contexts for years, and the new paper expands that field of research. Parental alienation refers to a situation in which one parent intentionally manipulates a child to reject the other parent without justification. This behavior often occurs in the context of high-conflict divorces or custody battles.

To better understand how this phenomenon plays out in courtroom settings, the researchers analyzed 200 family court cases in Canada where fathers alleged parental alienation and were themselves accused of abuse. The findings show that the courts ultimately do not favor fathers accused of abuse when they allege parental alienation – despite broad perception otherwise.

We asked Varavei about the research, why he came to CSU and where the work goes from here:

What is your area of study at CSU, and why did you choose to come here for graduate school?

I am a third-year graduate student in the Applied Social and Health Program within the Department of Psychology. I am currently pursuing both my master’s and Ph.D. in psychology with a particular interest in parental alienation and social relationships. I came to CSU because of the great psychology program – especially when it comes to applied and social Psychology. I also wanted to study with Jennifer Harman as her work was very intriguing to me and fit the research interests that I had developed throughout my undergraduate studies.

What is parental alienation, and how does it fit with the research in this new paper?

Parental alienation is the refusal of a child to have a relationship with a specific parent due to untrue or illogical reasons that are influenced onto them by the other parent. This concept is integral to the paper, as we are testing whether claims that parental alienation allegations made by fathers are being used to nullify abuse allegations made by mothers. We wanted to test whether there are many court cases that reflect this idea, and if those court cases result in the mother losing custody of their child or children. There are arguments made that parental alienation is not a real scientific concept, but rather a manipulative tool used by abusive parents in court. This study aims to see if this claim can be found within existing court cases.

The paper also deals with the idea of “illusory correlation.” What is that concept, and how does it fit into this research?

An illusory correlation is the report of a relationship between two items that are either not actually statistically related or are only connected to a lesser extent. Here, we wanted to see if the claim that parental alienation is used to nullify abuse allegations is an illusory correlation – a perceived association between two events that is not supported by actual data.

Our findings show that the belief that courts favor fathers accused of abuse when they allege parental alienation does not reflect the reality when reviewing the outcomes of court cases. The study indicates that mothers are generally not losing custody to fathers accused of abuse in these cases.

Why did you use data from Canada? Could that be limiting on the application to other countries and situations?

We used data from Canadian court cases because they were publicly accessible, and because the courts within the United States are not required to publish trial-level decisions. Due to this paper responding to claims within the United States, we wanted to focus on similar court proceedings. A future consideration could be to replicate this study in other countries.

What approach did you take to organizing and working with data from the Canadian courts? What were some of the challenges?

We first narrowed the court cases down to those that fit the criteria for our sample size. Myself and two research assistants then worked on coding the data, which consisted of looking through the court cases to verify if parental alienation had been substantiated or unsubstantiated and then using a custom-made abuse allegation form to note if abuse had been substantiated or unsubstantiated, as well as the details surrounding the investigation and court findings. The data itself was very simple to handle as it was mainly binary entries (e.g., yes/no). We then used a chi-square analysis and logistic regression to analyze the data. To maintain our open access approach: the forms, court cases, etc. are included in the paper via Open Science Framework.

I would say that the only challenge that we faced was the amount of time it took. As previously mentioned, the next logical step for this research could be to replicate it in other countries. One key difference to study would be whether that country legally recognizes parental alienation versus places where it is not legally recognized.

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• Published: 09 September 2024

Navigating post-pandemic challenges through institutional research networks and talent management

• Muhammad Zada   ORCID: orcid.org/0000-0003-0466-4229 1 , 2 ,
• Imran Saeed 3 ,
• Jawad Khan   ORCID: orcid.org/0000-0002-6673-7617 4 &
• Shagufta Zada 5 , 6  

Humanities and Social Sciences Communications volume  11 , Article number:  1164 ( 2024 ) Cite this article

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Institutions actively seek global talent to foster innovation in the contemporary landscape of scientific research, education, and technological progress. The COVID-19 pandemic underscored the importance of international collaboration as researchers and academicians faced limitations in accessing labs and conducting research experiments. This study uses a research collaboration system to examine the relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance. Further, this study underscores the moderating role of top management support. Using a time-lagged study design, data were collected from 363 participants in academic and research institutions. The results show a positive relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance using a research collaboration system. Moreover, top management support positively moderates the study’s hypothesized relationships. The study’s findings contribute significantly to existing knowledge in this field, with implications for academia, researchers, and government focused on technology transmission, talent management, research creative collaboration, supporting innovation, scientific research, technological progress, and preparing for future challenges.

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Introduction.

Global talent management and the talent hunt within research and educational institutions have become extensively discussed topics in international human resource management (HRM) (Al et al., 2022 ). Global talent management is intricately connected to the notion of finding, managing, and facilitating the fetch of research, skills, techniques, and knowledge among team members and progress in education and technology (Kwok, 2022 ; Sommer et al., 2017 ). This topic assumes a greater position when it is looked at through the lens of research, academicians, and educational institutions serving as a means of achieving scientific and technological advancement and performance (Kaliannan et al., 2023 ; Patnaik et al., 2022 ). Effective knowledge management and transfer occur between teams engaged in cross-border research collaborations (Davenport et al., 2002 ; Fasi, 2022 ). Effective team management, global talent recruitment, and the exchange of scientific knowledge across national boundaries face different challenges due to the swift growth of economic and political fanaticism. This is particularly evident in advanced economies that rely heavily on knowledge-based industries (Vaiman et al., 2018 ). Research and educational sectors are encountering significant challenges in effectively hunting and managing international talent, particularly in the aftermath of the COVID-19 pandemic, during which approximately half of the global workforce faced the possibility of job loss (Almeida et al., 2020 ; Radhamani et al., 2021 ). Due to the implementation of lockdown measures by governments, many research intuitions are facing significant issues, and the pandemic has changed the situation; work was stuck, and scientists around the globe are thinking to be prepared for this kind of situation, which is possible through the use scientific research collaboration platforms. These platforms serve as a means to exchange research and knowledge, which is crucial in the talent hunt and management (Haak-Saheem, 2020 ). In the situation above, wherein limitations exist regarding the exchange of research and knowledge within the institutions, it becomes imperative for the top management of institutions to incentivize employees to engage the team in knowledge sharing actively and achieve team-level scientific and technological advancement. It can be achieved by implementing a research collaboration system that facilitates knowledge exchange and contributes to effective talent hunt and management (Haider et al., 2022 ; Xu et al., 2024 ).

A research collaboration network is a tool for scientific and technological advancement and talent management encompassing various processes and practices to facilitate the sharing, integration, translation, and transformation of scientific knowledge (Biondi & Russo, 2022 ). During and after the COVID-19 era characterized by travel restrictions, research networking platforms serve as valuable tools for students and researchers located in variance regions to engage in the exchange of research knowledge and achieve team-level scientific and technological advancement (Yang et al., 2024 ). Enhancing intellectual capital (IC) within the organizations is imperative within this framework (Pellegrini et al., 2022 ; Vătămănescu et al., 2023 ). Intellectual capital (IC) is the intangible assets owned by an organization that has the potential to generate value (Stewart, 1991 ). An organization’s intellectual capital (IC) includes human and structural capital (Marinelli et al., 2022 ). According to Vătămănescu et al. ( 2023 ), the organization can effectively manage the skills and abilities of its team members across different countries by properly utilizing both human and structural capital and establishing a strong research collaboration system with the help of top management support. This capability remains intact even during and after the COVID-19 pandemic. This study emphasizes the importance of talent hunt and management within research and educational institutions in the post-COVID-19 pandemic because of every country’s following implementation of lockdown measures. Our study focuses on the implication of facilitating the exchange of research, knowledge, and techniques among team members during and after this period. The effective way to share research expertise and techniques in such a scenario is through a research collaboration network (O’Dwyer et al., 2023 ).

While previous research has extensively explored talent management in various industries (Al Ariss, Cascio, & Paauwe, 2014 ; Susanto, Sawitri, Ali, & Rony, 2023 ), a noticeable gap exists in the body of knowledge regarding the discussion of global talent acquisition and management within research and academic institutions, particularly within volatile environments and about scientific and technological advancements (Harsch & Festing, 2020 ). The objective of this research is to fill this research gap.1) To investigate the strategies of how research and educational institutions hunt and manage gobble talent. 2)To analyze the impact of human and structural capital and team scientific and technological performance using a research collaboration system. 3) To examine the moderating effect of top management support on the IC to use the research collation network among institution research teams and scientific and technological performance.

In addition, current research contributes significantly to the literature by elucidating the pivotal role of organizational intellectual capital in strengthening scientific and technological performance through research collaborative networks. This study advances our grip on how internal resources drive innovation and research outcomes by empirically demonstrating the positive association between human and structural capital and team-level scientific and technological performance. Furthermore, the current study highlights the moderating effect of top management support, suggesting that management commitment can amplify the benefits of intellectual capital (human and structural capital). These results show a subtle perspective on how organizations can influence their intellectual assets to foster higher levels of productivity and innovation. The study’s theoretical contributions lie in integrating resource-based views and organizational theory with performance metrics, while its practical implications provide actionable insights for institutions aiming to optimize their intellectual resources and management practices. This research also sets the stage for future inquiries into the dynamics of intellectual capital and management support in various collaborative contexts.

Research theories, literature review, and hypotheses development

Research theories.

The focus of the current study pertains to the challenges surrounding talent management within institutions during and after the COVID-19 pandemic(Fernandes et al., 2023 ). Global talent management is intently linked to the objective of enhancing the intellectual capital of the organization (Zada et al., 2023 ). Considering the COVID-19 pandemic, which raised much more attention toward scientific and technological advancement, the academic sector has noticed an observable shift towards utilizing research collaboration platforms to share scientific knowledge effectively and achieve scientific and technological performance. Intellectual capital encompasses five distinct resource categories, as identified by Roos and Roos ( 1997 ), comprising three immaterial and two touchable resources. Intangible resources such as human capital, structural capital, and customer capital are complemented by tangible resources, encompassing monetary and physical assets. Global talent management encompasses human and structural capital management (Felin & Hesterly, 2007 ). The enhancement of talent management capabilities within the institution can be achieved by cultivating institution-specific competencies in both human and structural capital (Al Ariss et al., 2014 ). This concept lines up with the theoretical background of the resource-based view (RBV) theory presented by Barney ( 1991 ). According to this theory, organizations should prioritize examining their core resources to recognize valuable assets, competencies, and capabilities that can contribute to attaining a sustainable competitive advantage (Barney, 1991 ).

During and after the COVID-19 scenario, virtual platforms are utilized by institutions to engage students and staff abroad in research and knowledge exchange, which is part of global talent management. Staff possessing adequate knowledge repositories will likely participate in knowledge exchange activities. Therefore, organizations must improve their internal resources to enhance talent management, as per the fundamental principle of the RBV theory (Barney, 1991 ). Enhancing internal resources entails strengthening an organization’s human capital, which refers to its staff’s scientific research and technical skills and knowledge and structural capital. Strengthening these two resources can facilitate the institution in effectively sharing knowledge through a research collaboration platform, consequently enhancing their global talent management endeavors and contributing to the team’s scientific and technological performance.

In this research, we also utilize institutional theory (Oliver, 1997 ) and Scott ( 2008 ) as a framework to examine the utilization of research collaboration social platforms by faculty of institutions. Our focus is on exchanging research and technical knowledge within the climate of global talent management during and after the COVID-19 epidemic. According to Scott ( 2008 ), “Institutional theory is a widely recognized theoretical framework emphasizing rational myths, isomorphism, and legitimacy (p. 78)”. For electronic data interchange, the theory has been utilized in technology adoption research (Damsgaard, Lyytinen ( 2001 )) and educational institutes (J. et al., 2007 ). In the pandemic situation, institutional theory provides researchers with a framework to analyze the motivations of employees within institutions to engage in teams to achieve team-level scientific and technological performance through a research collaboration system. According to institutional theory, organizations should utilize a research collaboration network to ensure that their staff do not need to compromise their established norms, values, and expectations. During the COVID-19 pandemic, numerous countries implemented limitations on international movement as a preventive measure. Consequently, there has been a growing identification of the potential importance of utilizing an institutional research collaboration platform for facilitating the online exchange of knowledge, skills, research techniques, and global talent management among employees of institutions operating across various countries. The active support of staff by the top management of an institution can play a key role in expediting the implementation of social networks for research collaboration within the institution (Zada et al., 2023 ).

Literature review

An institution’s scientific and technological advancement is contingent upon optimal resource utilization (Muñoz et al., 2022 ). Global talent hunt and management encompasses utilizing information and communication technologies (ICT) to provide a way for the exchange of research knowledge and techniques, thereby enabling the implementation of knowledge-based strategies (Muñoz et al., 2022 ). In a high research-level turbulent environment, it becomes imperative to effectively manage human capital (HUC) to facilitate the appropriate exchange of research knowledge and techniques (Salamzadeh, Tajpour, Hosseini, & Brahmi, 2023 ). Research shows that transferring research knowledge and techniques across national boundaries, exchanging best practices, and cultivating faculty skills are crucial factors in maintaining competitiveness (Farahian, Parhamnia, & Maleki, 2022 ; Shao & Ariss, 2020 ).

It is widely acknowledged in scholarly literature that there is a prevailing belief among individuals that talent possesses movability and that research knowledge and techniques can be readily transferred (Bakhsh et al., 2022 ; Council, 2012 ). However, it is essential to note that the matter is more complex than it may initially appear (Biondi & Russo, 2022 ). The proliferation of political and economic nationalism in developed knowledge-based economies poses a significant risk to exchanging research knowledge and techniques among faculty members in research and educational institutions worldwide (Arocena & Sutz, 2021 ). During and after COVID-19, knowledge transfer can be effectively facilitated by utilizing a research collaboration network platform (Duan & Li, 2023 ; Sulaiman et al., 2022 ). This circumstance is noticeable within the domain of international research and development, wherein academic professionals have the opportunity to utilize research collaboration platforms as a means of disseminating valuable research knowledge and techniques to their counterparts in various nations (Jain et al., 2022 ).

The scientific and technological advancement of institutions linked by intuition research and development level and research and development depend on the intuition’s quality of research, knowledge, and management (Anshari & Hamdan, 2022 ). However, there is a need to enhance the research team’s capacity to learn and transfer research knowledge and techniques effectively. Research suggests that institutional human capital (HUC) is critical in managing existing resources and hunting international talent, particularly after the COVID-19 pandemic (Sigala, Ren, Li, & Dioko, 2023 ). Human capital refers to the combined implicit and crystal clear knowledge of employees within an institution and their techniques and capabilities to effectively apply this knowledge to achieve scientific and technological advancements (Al-Tit et al., 2022 ). According to Baron and Armstrong ( 2007 ) Human capital refers to the abilities, knowledge, techniques, skills, and expertise of individuals, particularly research team members, that are relevant to the current task.

Furthermore, HUC encompasses the scope of individuals who can contribute to this reservoir of research knowledge, techniques, and expertise through individual learning. As the literature shows, the concept of IC encompasses the inclusion of structural capital (STC), which requires fortification through the implementation of a proper global talent acquisition and management system (Pak et al., 2023 ; Phan et al., 2020 ). STC encompasses various mechanisms to enhance an institution’s performance and productivity (Barpanda, 2021 ). STC is extensively acknowledged as an expedited framework for HUC, as discussed by Bontis ( 1998 ) and further explored by Gogan, Duran, and Draghici ( 2015 ). During and after the COVID-19 epidemic, a practical approach to global talent management involves leveraging research collaboration network platforms to facilitate knowledge exchange among research teams (Arslan et al., 2021 ). However, the crucial involvement of top management support is imperative to effectively manage talent by utilizing research collaboration network platforms for knowledge transfer (Zada et al., 2023 ). Nevertheless, the existing body of knowledge needs to adequately explore the topic of talent management about knowledge transfer on research collaboration platforms, particularly in the context of institution-active management support (Tan & Md. Noor, 2013 ).

Conceptual model and research hypothesis

By analyzing pertinent literature and theoretical frameworks, we have identified the factors influencing staff intention in research and academic institutions to utilize research collaboration networks after the COVID-19 pandemic and achieve scientific and technical performance. This study aims to explain the determinants. Additionally, this study has considered the potential influence of top management support as a moderator on the associations between education and research institution staff intention on IC to utilize research collaboration platforms in the post-COVID-19 era and predictors. Through this discourse, we shall generate several hypotheses to serve as the basis for constructing a conceptual model (see Fig. 1 ).

Relationships between study variables: human capital, structural capital, top management support, and team scientific and technological performance. Source: authors’ development.

Human capital and team scientific and technological performance

According to Dess and Picken ( 2000 ), HUC encompasses individuals’ capabilities, knowledge, skills, research techniques, and experience, including staff and supervisors, relevant to the specific task. Human capital also refers to the ability to pay to this reservoir of knowledge, techniques, and expertize through individual learning (Dess & Picken, 2000 ). HUC refers to the combinations of characteristics staff possess, including but not limited to research proficiency, technical aptitude, business acumen, process comprehension, and other similar competencies (Kallmuenzer et al., 2021 ). The HUC is considered an institutional repository of knowledge, as Bontis and Fitz‐enz ( 2002 ) indicated, with its employees serving as representatives. The concept of HUC refers to the combined abilities, research proficiency, and competencies that individuals possess to address and resolve operational challenges within an institutional setting (Barpanda, 2021 ; Yang & Xiangming, 2024 ). The human capital possessed by institutions includes crucial attributes that allow organizations to acquire significant internal resources that are valuable, difficult to replicate, scarce, and cannot be substituted. It aligns with the theoretical framework of the RBV theory, as suggested by Barney ( 1991 ). IC is extensively recognized as a main factor in revitalizing organizational strategy and promoting creativity and innovation. It is crucial to enable organizations to acquire and effectively disseminate knowledge among their employees, contribute to talent management endeavors, and achieve scientific and technological performance (Alrowwad et al., 2020 ; He et al., 2023 ). Human capital is linked to intrinsic aptitude, cognitive capabilities, creative problem-solving, exceptional talent, and the capacity for originality (Bontis & Fitz‐enz, 2002 ). In talent management, there is a focus on enhancing scientific and technological performance and development. According to Shao and Ariss ( 2020 ), HUC is expected to strengthen employee motivation to utilize research collaboration networks for scientific knowledge-sharing endeavors. Based on these arguments, we proposed that.

Hypothesis 1 Human capital (HUC) positively impacts team scientific and technological performance using a research collaboration system.

Structural capital and team scientific and technological Performance

According to Mehralian, Nazari, and Ghasemzadeh ( 2018 ) structural capital (STC) encompasses an organization’s formalized knowledge assets. It consists of the structures and mechanisms employed by the institution to enhance its talent management endeavors. The concept of STC is integrated within the framework of institutions’ programs, laboratory settings, and databases (Cavicchi & Vagnoni, 2017 ). The significance of an organization’s structural capital as an internal tangible asset that bolsters its human capital has been recognized by scholars such as Secundo, Massaro, Dumay, and Bagnoli ( 2018 ), and This concept also lines up with the RBV theory (J. Barney, 1991 ). The strategic assets of an organization encompass its capabilities, organizational culture, patents, and trademarks (Gogan et al., 2015 ).

Furthermore, Birasnav, Mittal, and Dalpati ( 2019 ) Suggested that these strategic assets promote high-level organizational performance, commonly called STC. Literature shows that STC encompasses an organization’s collective expertise and essential knowledge that remains intact even when employees depart (Alrowwad et al., 2020 ; Mehralian et al., 2018 ; Sarwar & Mustafa, 2023 ). The institution’s socialization, training, and development process facilitates the transfer of scientific research knowledge, skills, and expertise to its team (Arocena & Sutz, 2021 ; Marchiori et al., 2022 ). The STC is broadly recognized as having important potential and is a highly productive resource for generating great value. STC motivates its team member to share expertise with their counterparts at subordinate organizations by utilizing an institution’s research collaboration network and achieving team-level scientific and technological performance. This method remains effective even in challenging environments where traditional means of data collection, face-to-face meetings, and travel are not feasible (Secundo et al., 2016 ). In light of the above literature and theory, we propose the following hypothesis.

Hypothesis 2: Structural capital (STC) positively impacts team scientific and technological performance using a research collaboration system.

Top management support as a moderator

If the relationship between two constructs is not constant, the existence of a third construct can potentially affect this relationship by enhancing or diminishing its strength. In certain cases, the impact of a third construct can adjust the trajectory of the relationship between two variables. The variable in question is commonly called the “moderating variable.” According to Zada et al. ( 2023 ), top management support to leaders efficiently encourages team members within institutions to share research scientific knowledge with their counterparts in different countries through international research collaboration systems. Similarly, another study shows that the active endorsement of the top management significantly affects the development of direct associations, thereby influencing the team and organization’s overall performance (Biondi & Russo, 2022 ; Phuong et al., 2024 ). Different studies have confirmed that top management support is crucial in fostering a conducive knowledge-sharing environment by offering necessary resources (Ali et al., 2021 ; Lee et al., 2016 ; Zada et al., 2023 ). During and after the COVID-19 epidemic, numerous nations implemented nonessential travel restrictions and lockdown measures. In the given context, utilizing a research collaboration system would effectively facilitate the exchange of research, skills, and knowledge among staff belonging to various subsidiaries of an institution (Rådberg & Löfsten, 2024 ; Rasheed et al., 2024 ). However, it is common for researchers to exhibit resistance to adopting a novel research technique, often citing various justifications for their reluctance. To address the initial hesitance of employees at subsidiary institutes towards utilizing research collaborative networking within the institute, top management must employ strategies that foster motivation, encouragement, and incentives. These measures help create an atmosphere where team members feel empowered to engage with the new system freely. Institutional theory asserts that top management support is crucial for aligning talent management with institutional norms. Human and structural capital, pivotal within the institutional framework, contributes to an institution’s capacity to attract and retain talent, enhancing legitimacy. Adaptation to scientific and technological advancements is imperative for international institutional competitiveness, as institutional theory dictates (Oliver, 1997 ). Grounded on the above discussion, we have hypothesized.

Hypothesis 3a : Top management support moderates the relationship between human capital (HUC) and team scientific and technological performance. Specifically, this relationship will be stronger for those with higher top management support and weaker for those with lower top management support.

Hypothesis 3b : Top management support moderates the relationship between structural capital (STC) and team scientific and technological performance through the use of research collaboration network platforms. Specifically, this relationship will be stronger for those with higher top management support and weaker for those with lower top management support.

Methods data and sample

Sample and procedures.

To test the proposed model, we collected data from respondents in China’s research and academic sector in three phases to mitigate standard method variance (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003 ). In the first phase (T1-phase), respondents rated human capital, structural capital, and demographic information. After one month, respondents rated the team’s scientific and technological performance in the second phase (T2-phase). Following another one-month interval, respondents were asked to rate top management support in the third phase (T3-phase). In the first phase, after contacting 450 respondents, we received 417 usable questionnaires (92.66%). In the second phase, we received 403 usable questionnaires. In the third phase, we received 363 usable questionnaires (90.07%), constituting our final sample for interpreting the results. The sample comprises 63.4% male and 36.6% female respondents. The age distribution of the final sample was as follows: 25–30 years old (6.6%), 31–35 years old (57%), 36–40 years old (19.8%), and above 40 years old (16.5%). Regarding respondents’ experience, 45.7% had 1–5 years, 39.4% had 6–10 years, 11.3% had 11–15 years, and 3.6% had over 16 years. According to the respondents’ levels of education, 4.1% had completed bachelor’s degrees, 11.6% had earned master’s degrees, 78.8% were doctorate (PhD) scholars, and 5.5% were postdoctoral and above.

Measurement

To measure the variables, the current study adopted a questionnaire from previous literature, and age, gender, education, and experience were used as control variables. A five-point Likert scale was used (1 = strongly disagree to 5 = strongly agree). Human capital (HUC) was measured through an eight-item scale adopted by Kim, Atwater, Patel, and Smither ( 2016 ). The sample item is “The extent to which human capital of research and development department is competitive regarding team performance”. The self-reported scale developed by Nezam, Ataffar, Isfahani, and Shahin ( 2013 ) was adopted to measure structural capital. The scale consists of seven items. The sample scale item is “My organization emphasizes IT investment.” In order to measure top management support, a six-item scale was developed by Singh, Gupta, Busso, and Kamboj ( 2021 ), was adopted, and sample item includes “Sufficient incentives were provided by top management (TM) for achieving scientific and technological performance.” Finlay, the self-reported scale developed by Gonzalez-Mulé, Courtright, DeGeest, Seong, and Hong ( 2016 ) was adopted to gauge team scientific and technological performance and scales items are four. The sample item is “This team achieves its goals.”

Assessment of measurement model

In the process of employing AMOS for analysis, the initial step encompasses an assessment of the model to determine the strength and validity of the study variables. The evaluation of variable reliability conventionally revolves around two key aspects, which are indicator scale reliability and internal reliability. More precisely, indicator reliability is deemed to be recognized when factor loadings exceed the threshold of 0.60. In parallel, internal consistency reliability is substantiated by the attainment of values exceeding 0.70 for both Cronbach’s alpha and composite reliability, aligning with well-established and recognized guidelines (Ringle et al., 2020 ).

To gauge the reliability of construct indicators, we utilized two key metrics which are composite reliability (CR) and average variance extracted (AVE). The CR values for all variables were notably high, exceeding 0.70 and falling within the range of 0.882 to 0.955. This signifies a robust level of reliability for the indicators within each construct. Furthermore, the AVE values, which indicate convergent validity, exceeded the minimum threshold of 0.50, with each construct value varying from 0.608 to 0.653, thus affirming the presence of adequate convergent validity.

In addition to assessing convergent validity, we also examined discriminant validity by scrutinizing the cross-loadings of indicators on the corresponding variables and the squared correlations between constructs and AVE values. Our findings indicated that all measures exhibited notably stronger loadings on their intended constructs, thereby underscoring the measurement model’s discriminant validity.

Discriminant validity was recognized by observing average variance extracted (AVE) values that exceeded the squared correlations between constructs, as indicated in Table 1 . In conjunction with the Composite Reliability (CR) and AVE values, an additional discriminant validity assessment was conducted through a Heterotrait-Monotrait Ratio (HTMT) analysis. This analysis entailed a comparison of inter-construct correlations against a predefined upper threshold of 0.85. The results demonstrated that all HTMT values remained significantly below this threshold, affirming satisfactory discriminant validity for each variable (Henseler et al., 2015 ). Every HTMT value recorded was situated beneath the specified threshold, thereby supplying supplementary confirmation regarding the constructs’ discriminant validity. In summary, the results of the outer model assessment indicate that the variables showcased commendable levels of reliability and validity, with the discriminant validity being suitably and convincingly established.

Moreover, correlation Table 2 shows that human capital is significantly and positively correlated with structural capital ( r  = 0.594**), TMS ( r  = 0.456 **), and STP ( r  = 0.517**). Structural capital is also significantly and positively correlated with TMS ( r  = 0.893**) and STP ( r  = 0.853**). Furthermore, TMS is significantly and positively correlated with STP (0.859**).

Confirmatory factor analysis (CFA)

A comprehensive confirmatory factor analysis was estimated by employing the software AMOS version 24 to validate the distinctiveness of the variables. CFA shows the fitness of the hypothesized four factors model, including human capital, structural capital, top management support, and team scientific and technological performance, as delineated in Table 3 ; the results show that the hypothesized four-factor model shows fit and excellent alternative models. Consequently, The study variables demonstrate validity and reliability, which makes the dimension model appropriate for conducting a structural path analysis, as advocated by Hair, Page, and Brunsveld ( 2019 ).

Hypotheses testing

This study used the bootstrapping approach, which involves 5,000 bootstrap samples to test the proposed study model and assess the significance and strength of the structural correlations. Using this approach, bias-corrected confidence intervals and p-values were generated in accordance with Streukens and Leroi-Werelds ( 2016 ) guidelines. First, we did an analysis that entailed checking the path coefficients and their connected significance. The findings, as shown in Table 4 , validate Hypothesis 1, revealing a positive correlation between HUC and STP ( β  = 0.476, p  < 0.001). Additionally, the finding validates Hypothesis 2, highlighting a positive association between structural capital and STP ( β  = 0.877, p  < 0.001). For the moderation analysis, we utilized confidence intervals that do not encompass zero, per the guidelines that Preacher and Hayes ( 2008 ) recommended.

In our analysis, we found support for Hypothesis 3a, which posited that top management support (TMS) moderates the relationship between human capital (HUC) and team scientific and technological performance (STP). The results in Table 4 showed that the moderating role, more precisely, the interaction between HUC and TMS, was substantial and positive ( β  = −0.131, p  = 0.001). These results suggest that TMS enhances the positive association between HUC and STP, as shown in Fig. 2 . Consequently, we draw the conclusion that our data substantiates hypothesis 3a. Furthermore, Hypothesis 3b posited that TMS moderates the relationship between STC and STP. The results indicate that TMS moderates the association between STC and STP ( β  = −0.141, p  = 0.001, as presented in Table 4 and Fig. 3 ).

The moderating effect of top management support (TMS) on the relationship between human capital (HUC) and team scientific and technological performance (STP). Source: authors’ development.

The moderating effect of top management support (TMS) on the relationship between structural capital (SUC) and team scientific and technological performance (STP). Source: authors’ development.

The current study highlights the importance of research and academic institutions effectively enhancing their scientific and technological capabilities to manage their global talent within an international research collaboration framework and meet future challenges. Additionally, it underscores the need for these institutions to facilitate scientific knowledge exchange among their employees and counterparts in different countries. The enhancement of talent management through the exchange of scientific research knowledge can be most effectively accomplished by utilizing a collaborative research system between educational and research institutions (Shofiyyah et al., 2023 ), particularly in the context of the COVID-19 landscape. This study has confirmed that enhancing the higher education and research institutions’ human capital (HUC) and structural capital (STC) could attract and maintain global talent management and lead to more effective scientific and technological progress. The findings indicate that the utilization of human capital (HUC) has a significant and positive effect on scientific and technological term performance (STP) (Hypothesis 1), which is consistent with previous research (Habert & Huc, 2010 ). This study has additionally demonstrated that the implementation of s tructural capital (STC) has a significant and positive effect on team scientific and technological performance (STP), as indicated by hypothesis 2, which is also supported by the previous studies finding in different ways (Sobaih et al., 2022 ). This study has also shown that top management support moderates the association between human capital (HUC) and team scientific and technological performance hypothesis 3a and the association between structural capital (STC) and team scientific and technological performance hypothesis 3b. These hypotheses have garnered support from previous studies’ findings in different domains (Chatterjee et al., 2022 ). The study’s empirical findings also confirm the substantial moderating influence exerted by top management support on the relationships between HUC and STP described in hypothesis 3a and STC and STP described in hypothesis 3b, as evidenced by the results presented in Table 4 . Additionally, graphical representations are conducted to investigate the impacts on hypotheses 3a and 3b resulting from the application of high-top management support (TMS) and weak TMS.

The effect of high-top management support (TMS) and weak TMS on Hypothesis 3a is depicted in Fig. 2 . The solid line illustrates the effects of robust TMS on Hypothesis 3a, while the dashed line shows the effects of weak TMS on Hypothesis 3a. The graphic description validates that, as human capital (HUC) increases, team scientific and technological performance (STP) is more pronounced when influenced by robust TMS than weak TMS. This is evidenced by the steeper slope of the solid line in comparison to the dashed line. This finding suggests that employees within the research and academic sectors are more likely to utilize research collaboration networks when influenced by HUC and receive strong support from the organization’s top management.

The graph in Fig. 3 shows the impact of solid top management support (TMS) and weak TMS on Hypothesis 3b. The dotted lines continuous on the graph correspond to the effects of robust TMS and weak TMS, respectively. Figure 3 illustrates that, with increasing top management support (TMS), scientific and technological performance (STP) increase is more significant for robust TMS than weak TMS. This is evident from the steeper slope of the continuous line compared to the slope of the dotted line. This finding suggests that employees within universities and institutes are more likely to engage in research collaboration systems when they receive strong support from top management despite enhanced structural support.

Theoretical contribution

The current study makes significant contributions to the existing body of knowledge by exploring the intricate dynamics between organizational intellectual capital and team performance within scientific and technological research, especially during the unprecedented times brought about by the COVID-19 pandemic. Through its detailed examination of human and structural capital, alongside the moderating impact of top management support, the study provides a multi-faceted understanding of how these factors interact to enhance team outcomes.

This research enriches the literature on intellectual capital by providing empirical evidence on the positive association between HUC and STC and team performance. HUC, which includes employees’ skills, knowledge, and expertise, is a critical driver of innovation and productivity (Lenihan et al., 2019 ). The study highlights how a team’s collective intelligence and capabilities can lead to superior scientific and technological outputs. This finding aligns with and extends previous research that underscores the importance of skilled HR in achieving organizational success (Luo et al., 2023 ; Salamzadeh et al., 2023 ). Structural capital, encompassing organizational processes, databases, and intellectual property, contributes significantly to team performance(Ling, 2013 ). The study illustrates how well-established structures and systems facilitate knowledge sharing, streamline research processes, and ultimately boost the efficiency and effectiveness of research teams. This aspect of the findings adds depth to the existing literature by demonstrating the tangible benefits of investing in robust organizational infrastructure to support research activities.

Another essential contribution of this study is integrating a research collaboration network as a facilitating factor. This network, including digital platforms and tools that enable seamless communication and collaboration among researchers, has become increasingly vital in remote work and global collaboration (Mitchell, 2023 ). By examining how these systems leverage HUC and STC to enhance team performance, the study provides a practical understanding of the mechanisms through which technology can facilitate team scientific and technological performance.

One of the most novel contributions of this study is its emphasis on the moderating role of top management support. The findings suggest that when top management actively supports research initiatives, provides required resources, and fosters innovation, the positive effects of human and structural capital on team performance are amplified (Zada et al., 2023 ). This aspect of the study addresses a gap in the literature by highlighting the critical influence of top management on the success of intellectual capital investments. It underscores the importance of managerial involvement and strategic vision in driving research excellence and team scientific and technological performance.

Practical implications

The practical implications of the current study are weightage for organizations aiming to enhance their research and innovation capabilities and boost their scientific and technical progress. Organizations should prioritize recruiting, training, and retaining highly skilled and trained researchers and professionals globally. This can be achieved through targeted hiring practices, offering competitive compensation and retention, providing continuous professional development opportunities, and developing proper research collaboration networks. Organizations can leverage their expertize to drive innovative research and technological advancements by nurturing a global, talented workforce. Investing in robust organizational structures, processes, and systems is critical (Joseph & Gaba, 2020 ). This includes developing comprehensive databases, implementing efficient research processes, securing intellectual property, and strengthening collaborations. These factors support efficient knowledge sharing and streamline research activities, leading to higher productivity and quality research outcomes (Azeem et al., 2021 ). Organizations should ensure that their infrastructure is adaptable and can support remote and collaborative work environments.

The current study emphasizes the importance of digital platforms and tools facilitating research collaboration. Organizations should adopt advanced research collaboration networks that enable seamless communication, data sharing, and talent management. These systems are particularly crucial in a globalized research environment where team members may be geographically dispersed. Investing in such technology can significantly enhance research projects’ productivity in a sustainable way (Susanto et al., 2023 ). Top Management plays a vital role in the success of research initiatives and contributes to scientific and technological performance. Top management should actively support research teams by providing required resources, setting clear strategic directions, and fostering a culture of innovation. This includes allocating budgets for organizational research and development, encouraging cross-border collaboration, recognizing and rewarding research achievements, and enhancing overall performance. Effective Management ensures that the intellectual capital within the organization is fully utilized and aligned with organizational developmental goals (Paoloni et al., 2020 ). Organizations should create a working atmosphere that encourages research, creativity, and innovation. This can be done by establishing innovation labs, promoting interdisciplinary research, recruiting international talents, sharing research scholars, and encouraging the sharing of ideas across different departments globally. A research-oriented culture that supports innovation can inspire researchers to pursue groundbreaking work and contribute to the organization’s competitive edge.

Limitations and future research direction

The research presents numerous theoretical and practical implications; however, it has. The potential limitation of common method bias could impact the findings of this study. This concern arises because the data for the study variables were obtained from a single source and relied on self-report measures (Podsakoff, 2003 ). Therefore, it is recommended that future studies be conducted longitudinally to gain additional insights into organizations’ potential to enhance efficiency. Furthermore, it is essential to note that the sample size for this study was limited to 363 respondents who were deemed usable. These respondents were drawn from only ten research and academic institutions explicitly targeting the education and research sector.

Consequently, this restricted sample size may hinder the generalizability of the findings. Future researchers may employ a larger sample size and implement a more systematic approach to the organization to enhance the comprehensiveness and generalizability of findings in the context of global talent management and scientific and technological advancement. Furthermore, in future investigations, researchers may explore alternative boundary conditions to ascertain whether additional factors could enhance the model’s efficacy.

Numerous academic studies have emphasized the significance of examining talent management outcomes in global human resource management (HRM). The continuous international movement of highly qualified individuals is viewed as a driving force behind the development of new technologies, the dissemination of scientific findings, and the collaboration between institutions worldwide. Every organization strives to build a qualified and well-trained team, and the personnel department of the organization focuses on finding ways to transfer knowledge from experienced workers to new hires. This study uses a research collaboration system to examine the relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance. Further, this study underscores the moderating role of top management support. These findings offer a nuanced perspective on how organizations can leverage their intellectual assets to foster higher productivity and innovation, especially in emergencies.

Data availability

Due to respondents’ privacy concerns, data will not be publicly available. However, it can be made available by contacting the corresponding author at a reasonable request.

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School of Economics and Management, Hanjiang Normal University, Shiyan, 442000, China

Muhammad Zada

Facultad de Administración y Negocios, Universidad Autónoma de Chile, Santiago, 8320000, Chile

School of Law, Huazhong University of Science and Technology, Wuhan, Hubie, China

Imran Saeed

College of Management, Shenzhen University, Shenzhen, China

Department of Business Administration, Faculty of Management Sciences, Ilma University, Karachi, Pakistan

Shagufta Zada

Business School Henan University, Kaifeng, Henan, China

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Contributions

Conceptualization: Muhammad Zada and Imran Saeed. Methodology: Jawad Khan. Software: Shagufta Zada. Data collection: Muhammad Zada, Shagufta Zada and Jawad Khan. Formal analysis: Imran Saeed and Jawad Khan. Resources: Muhammad Zada. Writing original draft preparation: Muhammad Zada and Imran Saeed. Writing review and editing: Jawad Khan, Shagufta Zada. All authors have read and agreed to the published version of the paper.

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Correspondence to Muhammad Zada .

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The authors declare no competing interests.

Ethical approval

The author sought and received ethical approval from the Research Ethical Committee School of Economics and Management at Hanjiang Normal University, China, with approval number 2023REC001, and the study complied with ethical standards.

Informed consent statement

Informed consent was obtained from all subjects involved in the study. All the participants were accessed with the support of the HR Department employed in China’s research and academia sector. Response Participants were provided with comprehensive information regarding the study’s purpose and procedures. Confidentiality and privacy were strictly implemented throughout the research process. Using the time lag data collection approach, we collected from 393 employees employed in China’s research and academic sector.

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Zada, M., Saeed, I., Khan, J. et al. Navigating post-pandemic challenges through institutional research networks and talent management. Humanit Soc Sci Commun 11 , 1164 (2024). https://doi.org/10.1057/s41599-024-03697-9

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Received : 28 February 2024

Accepted : 30 August 2024

Published : 09 September 2024

DOI : https://doi.org/10.1057/s41599-024-03697-9

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