2. To determine the value for undertaking a full systematic review.
3. To summarize and disseminate research findings.
4. To identify research gaps in the existing literature. [[ ] p. 21]
Researchers can undertake a scoping study to examine the extent, range, and nature of research activity, determine the value of undertaking a full systematic review, summarize and disseminate research findings, or identify gaps in the existing literature [ 6 ]. As such, researchers can use scoping studies to clarify a complex concept and refine subsequent research inquiries [ 1 ]. Scoping studies may be particularly relevant to disciplines with emerging evidence, such as rehabilitation science, in which the paucity of randomized controlled trials makes it difficult for researchers to undertake systematic reviews. In these situations, scoping studies are ideal because researchers can incorporate a range of study designs in both published and grey literature, address questions beyond those related to intervention effectiveness, and generate findings that can complement the findings of clinical trials.
In an effort to provide guidance to authors undertaking scoping studies, Arksey and O'Malley [ 6 ] developed a six-stage methodological framework: identifying the research question, searching for relevant studies, selecting studies, charting the data, collating, summarizing, and reporting the results, and consulting with stakeholders to inform or validate study findings (Table (Table2). 2 ). While this framework provided an excellent methodological foundation, published scoping studies continue to lack sufficient methodological description or detail about the data analysis process, making it challenging for readers to understand how study findings were determined [ 1 ]. Arksey and O'Malley [ 6 ] encouraged other authors to refine their framework in order to enhance the methodology.
Overview of the Arksey and O'Malley methodological framework for conducting a scoping study
Arksey and O'Malley Framework Stage | Description |
---|---|
1: Identifying the research question | Identifying the research question provides the roadmap for subsequent stages. Relevant aspects of the question must be clearly defined as they have ramifications for search strategies. Research questions are broad in nature as they seek to provide breadth of coverage. |
2: Identifying relevant studies | This stage involves identifying the relevant studies and developing a decision plan for where to search, which terms to use, which sources are to be searched, time span, and language. Comprehensiveness and breadth is important in the search. Sources include electronic databases, reference lists, hand searching of key journals, and organizations and conferences. Breadth is important; however, practicalities of the search are as well. Time, budget and personnel resources are potential limiting factors and decisions need to be made upfront about how these will impact the search. |
3: Study selection | Study selection involves inclusion and exclusion criteria. These criteria are based on the specifics of the research question and on new familiarity with the subject matter through reading the studies. |
4: Charting the data | A data-charting form is developed and used to extract data from each study. A 'narrative review' or 'descriptive analytical' method is used to extract contextual or process oriented information from each study. |
5: Collating, summarizing, and reporting results | An analytic framework or thematic construction is used to provide an overview of the breadth of the literature but not a synthesis. A numerical analysis of the extent and nature of studies using tables and charts is presented. A thematic analysis is then presented. Clarity and consistency are required when reporting results. |
6: Consultation (optional) | Provides opportunities for consumer and stakeholder involvement to suggest additional references and provide insights beyond those in the literature. |
In this paper, we apply our experiences using the Arksey and O'Malley framework to build on the existing methodological framework. Specifically, we propose recommendations for each stage of the framework, followed by considerations for the advancement, application, and relevance of scoping studies in health research. Continual refinement of the framework stages may provide greater clarity about scoping study methodology, encourage researchers and clinicians to engage in this process, and help to enhance the methodological rigor with which authors undertake and report scoping studies [ 1 ].
We each completed a scoping study in separate areas of rehabilitation using the Arksey and O'Malley framework [ 6 ]. Goals of these studies included: identifying research priorities within HIV and rehabilitation [ 7 ], applying motor learning strategies within pediatric physical and occupational therapy intervention approaches [ 8 ], and exploring the use of theory within studies of knowledge translation [ 9 ]. The amount of literature reviewed in our studies ranged from 31 (DL) to 146 (KO) publications. Upon discovering that we had similar challenges implementing the scoping study methodology, we decided to use our experiences to further develop the existing framework. We conducted an informal literature search on scoping study methodology. We searched CINAHL, MEDLINE, PubMed, ERIC, PsycInfo, and Web of Science databases using the search terms 'scoping,' 'scoping study,' 'scoping review,' and 'scoping methodology' for papers published in English between January 1990 and May 2010. Reference lists of pertinent papers were also searched. This search yielded seven citations that reflected on scoping study methodology, which were reviewed by one author (DL). After independently considering our own experiences utilizing the Arskey and O'Malley [ 6 ] framework, we met on seven occasions to discuss the challenges and develop recommendations for each stage of the methodological framework.
We outline the challenges and recommendations associated with each stage of the methodological framework (Table (Table3 3 ).
Summary of challenges and recommendations for scoping studies
Framework Stage | Challenges | Recommendations for clarification or additional steps |
---|---|---|
#1 Identifying the research question | 1. Scoping study questions are broad. 2. Establishing scoping study purpose is not associated with a framework stage. 3. The four purposes of scoping studies lack clarity. | 1. Clearly articulate the research question that will guide the scope of inquiry. Consider the concept, target population, and health outcomes of interest to clarify the focus of the scoping study and establish an effective search strategy. 2. Mutually consider the purpose of the scoping study with the research question. Envision the intended outcome ( ., framework, list of recommendations) to help determine the purpose of the study. 3. Consider rationale for conducting the scoping study to help clarify the purpose. |
#2 Identifying relevant studies | 1. Balancing breadth and comprehensiveness of the scoping study with feasibility of resources can be challenging. | 1a. Research question and purpose should guide decision-making around the scope of the study. 1b. Assemble a suitable team with content and methodological expertise that will ensure successful completion of the study. 1c. When limiting scope is unavoidable, justify decisions and acknowledge the potential limitations to the study. |
#3 Study selection | 1. The linearity of this stage is misleading. 2. The process of decision making for study selection is unclear. | 1. This stage should be considered an iterative process involving searching the literature, refining the search strategy, and reviewing articles for study inclusion. 2a. At the beginning of the process, the team should meet to discuss decisions surrounding study inclusion and exclusion. At least two reviewers should independently review abstracts for inclusion. 2b. Reviewers should meet at the beginning, midpoint and final stages of the abstract review process to discuss challenges and uncertainties related to study selection and to go back and refine the search strategy if needed. 2c. Two researchers should independently review full articles for inclusion. 2d. When disagreements on study inclusion occur, a third reviewer can determine final inclusion. |
#4 Charting the data | 1. The nature and extent of data to extract from included studies is unclear. 2. The 'descriptive analytical method' of charting data is poorly defined. | 1a. The research team should collectively develop the data-charting form and determine which variables to extract in order to answer the research question. 1b. Charting should be considered an iterative process in which researchers continually extract data and update the data-charting form. 1c. Two authors should independently extract data from the first five to ten included studies using the data-charting form and meet to determine whether their approach to data extraction is consistent with the research question and purpose. 2. Process-oriented data may require extra planning for analysis. A qualitative content analysis approach is suggested. |
#5 Collating, summarizing, and reporting the results | 1. Little detail provided and multiple steps are summarized as one framework stage. | Researchers should break this stage into three distinct steps: 1a. Analysis (including descriptive numerical summary analysis and qualitative thematic analysis); 1b. Reporting the results and producing the outcome that refers to the overall purpose or research question; 1c. Consider the meaning of the findings as they relate to the overall study purpose; discuss implications for future research, practice and policy. |
#6 Consultation | 1. This stage is optional. 2. Lack of clarity exists about when, how and why to consult with stakeholders and how to integrate the information with study findings. | 1. Consultation should be an essential component of scoping study methodology. 2a. Clearly establish a purpose for the consultation. 2b. Preliminary findings can be used as a foundation to inform the consultation. 2c. Clearly articulate the type of stakeholders to consult and how data will be collected, analyzed, reported and integrated within the overall study outcome. 2d. Incorporate opportunities for knowledge transfer and exchange with stakeholders in the field. |
Scoping study research questions are broad in nature as the focus is on summarizing breadth of evidence. Arksey and O'Malley [ 6 ] acknowledge the need to maintain a broad scope to research questions, however we found our research questions lacked the direction, clarity, and focus needed to inform subsequent stages of the research process, such as identifying studies and making decisions about study inclusion. To clarify this stage, we recommend that researchers combine a broad research question with a clearly articulated scope of inquiry. This includes defining the concept, target population, and health outcomes of interest to clarify the focus of the scoping study and establish an effective search strategy. For example, in one author's (KO) scoping study, the research question was broadly 'what is known about HIV and rehabilitation?' Defining the concept of 'rehabilitation' was essential in order to establish a clear scope to the study, guide the search strategy, and establish parameters around study selection in subsequent stages of the process [ 7 ].
Although Arskey and O'Malley [ 6 ] outline four main purposes for undertaking a scoping study, they do not articulate that purpose be specified within a specific framework stage. We recommend researchers simultaneously consider the purpose of the scoping study when articulating the research question. Linking a clear purpose for undertaking a scoping study to a well-defined research question at the first stage of the framework will help to provide a clear rationale for completing the study and facilitate decision making about study selection and data extraction later in the methodological process. A helpful strategy may be to envision the content and format of the intended outcome that may assist researchers to clearly determine the purpose at the beginning of a study. In the abovementioned HIV study, authors linked the broadly stated research question with a more specific purpose 'to identify the key research priorities in HIV and rehabilitation to advance policy and practice for people living with HIV in Canada' [ 7 ]. The envisioned outcome was a thematic framework that represented strengths and opportunities in HIV rehabilitation research, followed by a list of the key research priorities to pursue in future work.
Finally, the purposes put forth by Arksey and O'Malley [ 6 ] require more debate. We concur with Anderson et al. [ 2 ] and Davis et al. [ 1 ], who state that researchers may benefit from further clarification of the purposes for undertaking a scoping study. The first purpose, as articulated by Arksey and O'Malley [ 6 ], is to summarize the extent, range, and nature of research activity; however, researchers are not required to reflect on their underlying motivation for doing so. We recommend that researchers consider the rationale for why they should summarize the activity in a field and the implications that this will have on research, practice, or policy. The second purpose is to assess the need for a full systematic review. However, it is difficult to determine whether a systematic review is advantageous when a scoping study does not involve methodological quality assessment of included studies. Furthermore, it is unclear how this purpose differs from existing methods of determining feasibility for a systematic review. The third purpose is to summarize and disseminate research findings, but we question how this differs from other narrative or systematic literature reviews. Lastly, the fourth purpose of undertaking a scoping study -- to identify gaps in the existing literature -- may yield false conclusions about the nature and extent of those gaps if the quality of the evidence is not assessed. The purpose 'to identify the key research priorities in HIV and rehabilitation to advance policy and practice for people living with HIV in Canada' does not explicitly align with one of the four Arskey and O'Malley purposes [ 7 ]. However, it appears authors inherently first summarized the extent, range, and nature of research (purpose one) and identified gaps in the existing literature (purpose four) in order to subsequently identify the key research priorities in HIV and rehabilitation (author purpose). This suggests authors might have an overall study purpose with multiple objectives articulated by Arksey and O'Malley that are required in order to help achieve their overall purpose.
A strength of scoping studies includes the breadth and depth, or comprehensiveness, of evidence covered in a given field [ 1 ]. However, practical issues related to time, funding, and access to resources often require researchers to consider the balance between feasibility, breadth, and comprehensiveness. Brien et al. [ 5 ] reported that their search strategy yielded a vast amount of literature, making it difficult to determine how in depth to carry out the information synthesis. Although Arksey and O'Malley [ 6 ] identify these concerns and provide some suggestions to support these decisions, we also struggled with the trade-off between breadth and comprehensiveness and feasibility in our scoping studies. As such, we recommend that researchers ensure decisions surrounding feasibility do not compromise their ability to answer the research question or achieve the study purpose. Second, we recommend that a scoping study team be assembled whose members provide the methodological and context expertise needed for decisions regarding breadth and comprehensiveness. When limiting scope is unavoidable, researchers should justify their decisions and acknowledge the potential limitations of their study.
Arksey and O'Malley [ 6 ] provide suggestions to manage the time-consuming process of determining which studies to include in a scoping study. We experienced this stage as more iterative and requiring additional steps than implied in the original framework. While Arksey and O'Malley [ 6 ] do not indicate a team approach is imperative, we agree with others and suggest scoping studies involve multidisciplinary teams using a transparent and replicable process [ 2 , 10 ]. In two of our studies (HC and DL) where decision making was primarily completed by a single author, we faced several challenges, including uncertainty about which studies to include, variables to extract on the data-charting form, and the nature and extent of detail to conduct the data extraction process. This raised questions related to rigor and led to our recommendations for undertaking a systematic team approach to conducting a scoping study.
Specifically, we recommend that the team meet to discuss decisions surrounding study inclusion and exclusion at the beginning of the scoping process. Refining the search strategy based on abstracts retrieved from the search and reviewing full articles for study inclusion is also a critical step. We recommend that at least two researchers each independently review abstracts yielded from the search strategy for study selection. Reviewers should meet at the beginning, midpoint, and final stages of the abstract review process to discuss any challenges or uncertainties related to study selection and to go back and refine the search strategy if needed. This can help to alleviate potential ambiguity with a broad research question and to ensure that abstracts selected are relevant for full article review. Next, two reviewers should independently review the full articles for inclusion. When disagreements occur, a third reviewer can be consulted to determine final inclusion.
This stage involves extracting data from included studies. Based on our experiences, we were uncertain about the nature and extent of information to extract from the included studies. To clarify this stage, we recommend that the research team collectively develop the data-charting form to determine which variables to extract that will help to answer the research question. Secondly, we recommend that charting be considered an iterative process in which researchers continually update the data-charting form. This is particularly true for process-oriented data, such as understanding how a theory or model has been used within a study. Uncertainty about the nature and extent of data that should be extracted may be resolved by researchers beginning the charting process and becoming familiar with study data, and then meeting again to refine the form. We recommend an additional step to charting the data in which two researchers independently extract data from the first five to ten studies using the data-charting form and meet to determine whether their approach to data extraction is consistent with the research question and purpose. Researchers may review one study several times within this stage. The number of researchers involved in the data extraction process will likely depend upon the number of included studies. For example, in one study, authors had difficulty developing one data-charting form that could apply to all included studies representing a range study designs, reviews, reports, and commentaries [ 7 ]. As a preliminary step, authors decided to classify the included studies into three areas --HIV disability, interventions, and roles of rehabilitation professionals in HIV care -- to help determine the nature and extent of information to extract from each of the types of studies [ 7 ].
Arksey and O'Malley [ 6 ] refer to a 'descriptive analytical method' that involves summarizing process information, such as the use of a theory or model in a meaningful format. Our experiences indicated that this is a highly valuable, though challenging aspect of scoping studies, as we struggled to chart and summarize complex concepts in a meaningful way. Arksey and O'Malley [ 6 ] indicate that synthesis of material is critical as scoping studies are not a short summary of many articles. We agree, and feel that additional direction in the framework might help to navigate this crucial but challenging stage. Perhaps synthesizing process information may benefit from utilization of qualitative content analysis approaches to make sense of the wealth of extracted data [ 11 ]. This issue also highlights the overlap with the next analytical stage. The role and relevance of analyzing process data and using qualitative content analysis within scoping study methodology requires further discussion.
Stage five is the most extensive in the scoping process, yet it lacks detail in the Arksey and O'Malley framework. Scoping studies have been criticized for rarely providing methodological detail about how results were achieved [ 1 ]. We appreciate the importance of breaking the analysis phase into meaningful and systematic steps so that researchers can provide this undertake scoping studies and report on findings in a rigorous manner. As a result, we recommend three distinct steps in framework stage five to increase the consistency with which researchers undertake and report scoping study methodology: analyzing the data, reporting results, and applying meaning to the results. As described in the existing framework, analysis (otherwise referred to as collating and summarizing) should involve a descriptive numerical summary and a thematic analysis. Arksey and O'Malley [ 6 ] describe the need to provide a descriptive numerical summary, stating that researchers should describe the characteristics of included studies, such as the overall number of studies included, types of study design, years of publication, types of interventions, characteristics of the study populations, and countries where studies were conducted. However, the description of thematic analysis requires additional detail to assist authors in understanding and completing this step. In our experience, this analytical stage resembled qualitative data analytical techniques, and researchers may consider using qualitative content analytical techniques [ 10 ] and qualitative software to facilitate this process.
Second, when reporting results, we recommend that researchers consider the best approach to stating the outcome or end product of the study and how the scoping study findings will be articulated to readers ( e.g ., through themes, a framework, or a table of strengths and gaps in the evidence). This product should be tied to the purpose of the scoping study as recommended in framework stage one.
Finally, in order to advance the legitimacy of scoping study methodology, we must consider the implications of findings within the broader context. As a result, we recommend that researchers consider the meaning of their scoping study results and the broader implications for research, policy, and practice. For example, for the question 'how are motor-learning strategies used within contemporary physical and occupational therapy intervention approaches for children with neuromotor conditions?,' the author (DL) presented themes that described strategy use. Results yielded insights into how researchers should better describe interventions in their publications and provided further considerations for clinicians to make informed decisions about which therapeutic approach might best fit their clients' needs. Considering the overall implications of the results as an explicit framework stage will help to ensure that scoping study results have practical implications for future clinical practice, research, and policy. This recommendation leads to the final stage of the framework.
Arksey and O'Malley [ 6 ] suggest that consultation is an optional stage in conducting a scoping study. Although only one of our three scoping studies incorporated this stage, we argue that it adds methodological rigor and should be considered a required component. Arksey and O'Malley [ 6 ] suggest that the purposes of consulting with stakeholders are to offer additional sources of information, perspectives, meaning, and applicability to the scoping study. However, it is unclear when, how, and why to consult with stakeholders, and how to analyze and integrate these data with the findings. We recommend researchers clearly establish a purpose for the consultation, which may include sharing preliminary findings with stakeholders, validating the findings, or informing future research. We suggest researchers use preliminary findings from stage five (either in the form of a framework, themes, or list of findings) as a foundation from which to inform the consultation. This will enable stakeholders to build on the evidence and offer a higher level of meaning, content expertise, and perspective to the preliminary findings. We also recommend that researchers clearly articulate the type of stakeholders with whom they wish to consult, how they will collect the data ( e.g ., focus groups, interviews, surveys), and how these data will be analyzed, reported, and integrated within the overall study outcome.
Finally, given that consultation requires researchers to orient stakeholders on the scoping study purpose, research question, preliminary findings, and plans for dissemination, we recommend that this stage additionally be considered a knowledge transfer mechanism. This may address Brien et al .'s [ 5 ] concern about the usefulness of scoping studies for stakeholders and how to translate knowledge about scoping studies. Given the importance of knowledge transfer and exchange in the uptake of research evidence [ 12 , 13 ], the consultation stage can be used to specifically translate the preliminary scoping study findings and develop effective dissemination strategies with stakeholders in the field, offering additional value to a scoping study.
One scoping study included a consultation phase comprised of focus groups and interviews with 28 stakeholders including people living with HIV, researchers, educators, clinicians, and policy makers [ 7 ]. Authors shared preliminary findings from the literature review phase of the scoping study with stakeholders and asked whether they may be able to identify any additional emerging issues related to HIV and rehabilitation not yet published in the evidence. The team proceeded to conduct a second consultation with 17 new and returning stakeholders whereby the team presented a preliminary framework of HIV and rehabilitation research and stakeholders refined the framework to further identify six key research priorities on HIV and rehabilitation. This series of consultations engaged community members in the development of the study outcome and provided opportunities for knowledge transfer about HIV and rehabilitation research. This process offered an ideal mechanism to enhance the validity of the study outcome while translating findings with the community. Nevertheless, further development of steps for undertaking knowledge translation as a part of the scoping study framework is required.
Scoping study terminology.
Discrepancies in nomenclature between 'scoping reviews,' 'scoping studies,' 'scoping literature reviews,' and 'scoping exercises' lead to confusion. Despite our collective use of the Arksey and O'Malley framework, two authors (DL, HC) titled their studies as 'scoping reviews' while the other used 'scoping study.' In this paper, we use 'scoping studies' for consistency with Arksey and O'Malley's original framework. Nevertheless, the potential differences (if any) among the terms merit clarification. Lack of a universal definition for scoping studies is also problematic to researchers trying to clearly articulate their reasons for undertaking a scoping study. Finally, we advocate for labeling the methodology as the 'Arksey and O'Malley framework' to provide consistency for future use.
Another consideration for scoping study methodology is the potential need to assess included studies for methodological quality. Brien et al. [ 5 ] state that this lack of quality assessment makes the results of scoping studies more challenging to interpret. Grant and Booth [ 4 ] imply that a lack of quality assessment limits the uptake of scoping study findings into policy and practice. While our research questions did not directly relate to any quality assessment debate, we recognize the challenges in assessing quality among the vast range of published and grey literature that may be included in scoping studies. This also raises the question of whether and how evidence from stakeholder consultation is evaluated in the scoping study process. It remains unclear whether the lack of quality assessment impacts the uptake and relevance of scoping study findings.
A final consideration for legitimization of scoping study methodology includes the development of a critical appraisal tool for scoping study quality [ 5 ]. Anderson et al. [ 2 ] offer criteria for assessing the value and utility of a commissioned scoping study in health policy contexts, but these criteria are not necessarily applicable to scoping studies in other areas of health research. Developing a critical appraisal tool would require the elements of a methodologically rigorous scoping study to be defined. This could include, but would not be limited to, the minimum level of analysis required and the requirements for reporting results. Overall, the issues surrounding quality assessment of included studies and subsequent scoping studies require further discussion.
This paper responds to Arksey and O'Malley's [ 6 ] request for feedback to their proposed methodological framework. However, the recommendations that we propose are derived from our subjective experiences undertaking scoping studies of varying sizes in the rehabilitation field, and we recognize that they may not represent the opinions of all scoping study authors. Other than our individual experiences with our own studies, we have not yet implemented the full framework recommendations. Hence, readers can determine how strongly to interpret and implement these recommendations in their scoping study research. We invite others to trial our recommendations and continue the process of refining and improving this methodology.
Scoping studies present an increasingly popular option for synthesizing health evidence. Brien et al. [ 5 ] argue that guidelines are required to facilitate scoping review reporting and transparency. In this paper, we build on the existing methodological framework for scoping studies outlined by Arksey and O'Malley [ 6 ] and provide recommendations to clarify and enhance each stage, which may increase the consistency with which researchers undertake and report scoping studies. Recommendations include: clarifying and linking the purpose and research question; balancing feasibility with breadth and comprehensiveness of the scoping process; using an iterative team approach to selecting studies and extracting data; incorporating a numerical summary and qualitative thematic analysis; identifying the implications of the study findings for policy, practice, or research; and adopting consultation as a required component of scoping study methodology. Ongoing considerations include: establishing a common accepted definition and purpose(s) of scoping studies; defining methodological rigor for the assessment of scoping study quality; debating the need for quality assessment of included studies; and formalizing knowledge translation as a required element of scoping methodology. Continued debate and development about scoping study methodology will help to maximize the usefulness of scoping study findings within healthcare research and practice.
The authors declare that they have no competing interests.
DL and HC conceived of this paper. DL undertook the literature review process. DL, HC and KO developed challenges and recommendations. All authors drafted the manuscript. All authors read and approved the final manuscript.
DL is a physical therapist and doctoral candidate in the School of Rehabilitation Science at McMaster University. HC is an occupational therapist and doctoral candidate in the School of Rehabilitation Science at McMaster University. KO is a clinical epidemiologist, physical therapist, and postdoctoral fellow in the School of Rehabilitation Science at McMaster University. She is also a Lecturer in the Department of Physical Therapy at the University of Toronto.
DL is supported by a Doctoral Award from the Canadian Child Health Clinician Scientist Program, a strategic training initiative of the Canadian Institutes of Health Research (CIHR), and the McMaster Child Health Research Institute. HC is supported by a Doctoral Award from the CIHR, the CIHR Quality of Life Strategic Training Program in Rehabilitation Research and the Canadian Occupational Therapy Foundation. KO is supported by a Fellowship from the CIHR, HIV/AIDS Research Program and a Michael DeGroote Postdoctoral Fellowship (McMaster University). The authors acknowledge the helpful feedback of Dr. Cheryl Missiuna on an earlier draft of this manuscript.
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Published on July 12, 2022 by Eoghan Ryan . Revised on November 20, 2023.
Research objectives describe what your research is trying to achieve and explain why you are pursuing it. They summarize the approach and purpose of your project and help to focus your research.
Your objectives should appear in the introduction of your research paper , at the end of your problem statement . They should:
What is a research objective, why are research objectives important, how to write research aims and objectives, smart research objectives, other interesting articles, frequently asked questions about research objectives.
Research objectives describe what your research project intends to accomplish. They should guide every step of the research process , including how you collect data , build your argument , and develop your conclusions .
Your research objectives may evolve slightly as your research progresses, but they should always line up with the research carried out and the actual content of your paper.
A distinction is often made between research objectives and research aims.
A research aim typically refers to a broad statement indicating the general purpose of your research project. It should appear at the end of your problem statement, before your research objectives.
Your research objectives are more specific than your research aim and indicate the particular focus and approach of your project. Though you will only have one research aim, you will likely have several research objectives.
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Research objectives are important because they:
Once you’ve established a research problem you want to address, you need to decide how you will address it. This is where your research aim and objectives come in.
Your research aim should reflect your research problem and should be relatively broad.
Break down your aim into a limited number of steps that will help you resolve your research problem. What specific aspects of the problem do you want to examine or understand?
Once you’ve established your research aim and objectives, you need to explain them clearly and concisely to the reader.
You’ll lay out your aims and objectives at the end of your problem statement, which appears in your introduction. Frame them as clear declarative statements, and use appropriate verbs to accurately characterize the work that you will carry out.
The acronym “SMART” is commonly used in relation to research objectives. It states that your objectives should be:
If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.
Methodology
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Research bias
Research objectives describe what you intend your research project to accomplish.
They summarize the approach and purpose of the project and help to focus your research.
Your objectives should appear in the introduction of your research paper , at the end of your problem statement .
Your research objectives indicate how you’ll try to address your research problem and should be specific:
Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .
Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.
I will compare …
A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.
Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.
Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.
Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .
To define your scope of research, consider the following:
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As a researcher, it can be easy to get lost in the vast expanse of information and data available. Thus, when starting a research project, one of the most important things to consider is the scope and delimitation of the study. Setting limits and focusing your study is essential to ensure that the research project is manageable, relevant, and able to produce useful results. In this article, we will explore the importance of setting limits and focusing your study through an in-depth analysis of scope and delimitation.
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Scope refers to the range of the research project and the study limitations set in place to define the boundaries of the project and delimitation refers to the specific aspects of the research project that the study will focus on.
In simpler words, scope is the breadth of your study, while delimitation is the depth of your study.
Scope and delimitation are both essential components of a research project, and they are often confused with one another. The scope defines the parameters of the study, while delimitation sets the boundaries within those parameters. The scope and delimitation of a study are usually established early on in the research process and guide the rest of the project.
Setting limits and focusing your study through scope and delimitation is crucial for the following reasons:
There are a few steps that you can take to set limits and focus your study.
The first step is to identify what you are interested in learning about. The research question should be specific, measurable, achievable, relevant, and time-bound (SMART). Once you have a research question or topic, you can start to narrow your focus.
What are the important terms or concepts that you need to understand in order to answer your research question? Consider all available resources, such as time, budget, and data availability, when setting scope and delimitation.
The scope and delimitation should be established within the parameters of the available resources. Once you have identified the key terms or concepts, you can start to develop a glossary or list of definitions.
There are often different perspectives on any given topic. Get feedback on the proposed scope and delimitation. Advisors can provide guidance on the feasibility of the study and offer suggestions for improvement.
It is important to consider all of the different perspectives in order to get a well-rounded understanding of your topic.
Be specific and concise when setting scope and delimitation. The parameters of the study should be clearly defined to avoid ambiguity and ensure that the study is focused on relevant aspects of the research question.
This means deciding which aspects of your topic you will focus on and which aspects you will eliminate.
Revisit and revise the scope and delimitation as needed. As the research project progresses, the scope and delimitation may need to be adjusted to ensure that the study remains focused on the research question and can produce useful results. This plan should include your research goals, methods, and timeline.
To better understand scope and delimitation, let us consider two examples of research questions and how scope and delimitation would apply to them.
Research question: What are the effects of social media on mental health?
Scope: The scope of the study will focus on the impact of social media on the mental health of young adults aged 18-24 in the United States.
Delimitation: The study will specifically examine the following aspects of social media: frequency of use, types of social media platforms used, and the impact of social media on self-esteem and body image.
Research question: What are the factors that influence employee job satisfaction in the healthcare industry?
Scope: The scope of the study will focus on employee job satisfaction in the healthcare industry in the United States.
Delimitation: The study will specifically examine the following factors that influence employee job satisfaction: salary, work-life balance, job security, and opportunities for career growth.
Setting limits and defining the scope and delimitation of a research study is essential to conducting effective research. By doing so, researchers can ensure that their study is focused, manageable, and feasible within the given time frame and resources. It can also help to identify areas that require further study, providing a foundation for future research.
So, the next time you embark on a research project, don’t forget to set clear limits and define the scope and delimitation of your study. It may seem like a tedious task, but it can ultimately lead to more meaningful and impactful research. And if you still can’t find a solution, reach out to Enago Academy using #AskEnago and tag @EnagoAcademy on Twitter , Facebook , and Quora .
The scope in research refers to the boundaries and extent of a study, defining its specific objectives, target population, variables, methods, and limitations, which helps researchers focus and provide a clear understanding of what will be investigated.
Delimitation in research defines the specific boundaries and limitations of a study, such as geographical, temporal, or conceptual constraints, outlining what will be excluded or not within the scope of investigation, providing clarity and ensuring the study remains focused and manageable.
To write a scope; 1. Clearly define research objectives. 2. Identify specific research questions. 3. Determine the target population for the study. 4. Outline the variables to be investigated. 5. Establish limitations and constraints. 6. Set boundaries and extent of the investigation. 7. Ensure focus, clarity, and manageability. 8. Provide context for the research project.
To write delimitations; 1. Identify geographical boundaries or constraints. 2. Define the specific time period or timeframe of the study. 3. Specify the sample size or selection criteria. 4. Clarify any demographic limitations (e.g., age, gender, occupation). 5. Address any limitations related to data collection methods. 6. Consider limitations regarding the availability of resources or data. 7. Exclude specific variables or factors from the scope of the study. 8. Clearly state any conceptual boundaries or theoretical frameworks. 9. Acknowledge any potential biases or constraints in the research design. 10. Ensure that the delimitations provide a clear focus and scope for the study.
What is an example of delimitation of the study?
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Research is the cornerstone of progress in any field, be it science, social sciences, or humanities. But behind every research endeavor lies a crucial aspect that often goes unnoticed by many: the scope and limitation. In this blog, we’ll delve into what is scope and limitation in research, why they matter, and how they influence the outcome of a study.
Table of Contents
The research process typically involves several stages, each crucial for the successful completion of a study. Here are the main 10 stages of the research process:
Scope in research example.
Let’s consider a research study investigating the impact of social media usage on teenagers’ mental health in urban areas of a particular city over the past three years. The scope of this study would include:
In the same study, limitations may arise due to various factors:
In this example, the scope defines the parameters and objectives of the study, while the limitations highlight potential constraints and challenges that may impact the research process and findings.
Writing the scope and limitations section in a research paper involves clearly defining the parameters of your study and acknowledging any constraints or weaknesses that may impact its validity or generalizability. Here’s a step-by-step guide on how to write the scope and limitations in research:
In conclusion (of what is scope and limitation in research), scope and limitation are integral components of any research project. Understanding the scope helps researchers define the boundaries and parameters of their study, while acknowledging limitations ensures transparency and credibility.
By carefully considering scope and limitation, researchers can conduct more rigorous and meaningful studies that contribute to the advancement of knowledge in their respective fields.
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Academic research is a meticulous process that requires precise planning and clear boundaries. Two pivotal components in this process are the scope and delimitations of the study. The definitions and establishment of these parameters are instrumental in ensuring that the research is effective, manageable, and yields relevant results.
The "scope" of a research project refers to the areas that the study will cover. It is the breadth and depth of the investigation. It defines the subject matter, the geographical location, the time frame, and the issues that the study will explore. Essentially, the scope delineates what the researcher aims to cover in the study.
On the other hand, "delimitations" are the boundaries or limitations set by the researcher. They define what the study will not include. Delimitations could involve the choice of research methodology , the selection of respondents, the duration of the study, and more. They help in confining the study to a manageable size while excluding peripheral elements.
Understanding and correctly implementing scope and delimitations are vital to ensuring your research is well-defined and focused, facilitating higher accuracy and relevancy in your findings.
"Scope" in research refers to the comprehensive extent of study—it outlines the parameters of what will be explored and addressed. It defines the topic of the research , the geographical region under study, the timeframe considered, and the issues that the study will address. The scope of a research project is vital because it determines the depth and breadth of your investigation.
Defining the scope of research is a fundamental step in the research process for several reasons. First, it provides a roadmap for the study, giving the researcher clear guidelines about what to include and exclude. Without a well-defined scope, research can become unmanageably vast or lose its focus.
Second, the scope ensures the research's relevance and applicability. It helps the researcher maintain a tight focus on the study's central question , ensuring that all aspects of the research contribute to answering this question. This focus aids in avoiding irrelevant diversions that could dilute the final conclusions.
Finally, a well-defined scope can help ensure the efficient use of resources. Research involves considerable time, effort, and often financial resources. By providing clear boundaries, the scope ensures these resources are utilized effectively without wasted effort on peripheral issues.
Suppose a research study is looking at the impacts of social media usage on mental health. If the scope is too broad—like examining all social media platforms' effects on all demographic groups worldwide—then the research can quickly become unwieldy and hard to manage. It would involve vast amounts of data, requiring considerable time, resources, and computational power to analyze effectively.
However, if the scope is narrowed down—such as investigating the impact of Instagram usage on the mental health of teenagers in a specific city over the past five years—the research becomes far more manageable. This specific focus allows for a more in-depth analysis and likely will provide more meaningful, actionable results. This example illustrates the importance of appropriately defining the scope of research for its successful execution.
Setting the scope of your research project is a critical and delicate task. Below are steps, tips, and common mistakes to avoid when determining the scope of your research:
Defining the scope of your research is a delicate balance, requiring careful consideration of your research questions, resources, and the depth and breadth of investigation needed to answer these questions effectively.
In the context of academic research, "delimitations" refers to the choices made by the researcher which define the boundaries of the study. These are the variables that lead the researcher to narrow the scope of the study from its potential vastness to a manageable size.
Delimitations might include the geographic area where the study is confined, the participants involved in the study, the methodology used, the time period considered, or the specific incidents or aspects the study will focus on. Essentially, delimitations are the self-imposed limitations on the scope of the study.
Defining the delimitations of a research project is crucial for several reasons. Firstly, they establish the context or setting in which the study occurs. This, in turn, allows for the work to be reproduced in a similar context for verification or refutation in future studies.
Secondly, delimitations provide a way to narrow the scope of the research to a manageable size, thus avoiding the pitfall of an overly ambitious project. They help researchers to stay focused on the main research questions and prevent diversion into irrelevant aspects.
Finally, clearly defined delimitations enhance the credibility of the research. They offer transparency about the research design and methodology, which adds to the validity of the results.
For instance, in a research study examining the impact of technology on student achievement in a certain district, examples of delimitations might include focusing only on public schools, considering only high school students, and confining the study to a particular school year. These choices help to focus the research and ensure its manageability. Therefore, delimitations play a pivotal role in structuring and guiding an effective and efficient research study.
Establishing appropriate delimitations for your research project is an important part of research design. Here are some steps, guidelines, and common mistakes to consider when setting your research delimitations:
Setting delimitations is a crucial step in research planning. Properly defined delimitations can make your research project more manageable, maintain your focus, and ensure the effective use of your resources.
The relationship between scope and delimitations in academic research is a dynamic and interdependent one. Each aspect serves to shape and refine the other, ultimately leading to a focused, feasible, and effective research design.
The scope of a research project describes the breadth and depth of the investigation—what it aims to cover and how far it intends to delve into the subject matter. The delimitations, on the other hand, identify the boundaries and constraints of the study—what it will not cover.
As such, the scope and delimitations of a research study are intimately connected. When the scope of a study is broad, the delimitations must be carefully considered to ensure the project remains manageable and focused. Conversely, when the scope is narrow, the delimitations might be less constraining, but they still play a critical role in defining the specificity of the research.
Balancing the scope and delimitations is crucial for an efficient research design. Too broad a scope without carefully defined delimitations can lead to a study that is unwieldy and lacks depth. On the other hand, a very narrow scope with overly rigid delimitations might result in a study that overlooks important aspects of the research topic.
Thus, researchers must strive to maintain a balance—establishing a scope that is wide enough to fully explore the research topic, but also setting appropriate delimitations to ensure the study remains feasible and focused. In doing so, the research will be well-structured and yield meaningful, relevant findings.
Scope and delimitations are fundamental aspects of research design that directly influence the validity, reliability, and replicability of a study.
Research validity refers to the degree to which a study accurately reflects or measures the concept that the researcher intends to investigate. A well-defined scope is critical to research validity because it clearly delineates what the study will cover. This clear definition ensures that the research focuses on relevant aspects of the topic and that the findings accurately reflect the concept under investigation.
Similarly, carefully thought-out delimitations contribute to research validity by identifying what the study will not cover. This clarity helps to prevent the study from straying into irrelevant areas, ensuring that the research stays focused and relevant.
In addition to contributing to research validity, scope and delimitations also influence the reliability and replicability of a study. Reliability refers to the consistency of a study's results, while replicability refers to the ability of other researchers to repeat the study and obtain similar results.
A clearly defined scope makes a study more reliable by providing a detailed outline of the areas covered by the research. This clarity makes it more likely that the study will produce consistent results. Moreover, clearly defined delimitations enhance the replicability of a study by providing explicit boundaries for the research, which makes it easier for other researchers to repeat the study in a similar context.
In summary, a well-defined scope and carefully thought-out delimitations contribute significantly to the validity, reliability, and replicability of academic research. They ensure that the research is focused, that the findings are relevant and accurate, and that the study can be reliably repeated by other researchers.
In all these examples, the researchers set a clear scope to outline the focus of their studies and used delimitations to restrict the boundaries. This balance between scope and delimitation was key in conducting successful and influential research.
In academic research, defining the scope and delimitations is a pivotal step in designing a robust and effective study. The scope outlines the breadth and depth of the investigation, offering a clear direction for the research. Meanwhile, delimitations set the boundaries of the study, ensuring that the research remains focused and manageable. Together, they play a crucial role in enhancing the validity, reliability, and replicability of a study.
Understanding the interplay between scope and delimitations is key to conducting efficient research. A well-defined scope paired with thoughtfully set delimitations contribute to a study's feasibility and its potential to yield meaningful and applicable results. Mistakes in setting the scope and delimitations can lead to unwieldy, unfocused research or a study that overlooks important aspects of a research question.
Reviewing famous studies, like the Milgram Experiment, the Framingham Heart Study, and the Marshmallow Test, we observe how a balanced approach to setting scope and delimitations can result in influential and valuable findings. Therefore, researchers should give careful thought to defining the scope and delimitations of their studies, keeping in mind their research questions, available resources, and the need for balance between breadth and focus. By doing so, they pave the way for successful and impactful research outcomes.
Header image by Kübra Arslaner .
The scope of the study explains the extent to which your research area will be explored, and the parameters the study will operate. It gives the reader and the writer an insight into what the study is aimed at and what should be anticipated.
This implies that the scope of the study should define the purpose of your study, the sample size and qualities, geographical location, the timeframe at which the study will be executed, theories the study will focus on, etc.
The scope of the study is just an aspect of research writing, and great attention needs to be taken not to go beyond what is expected. Therefore, the scope of the study sheds light on areas your study will cover and what it focuses on. What your study area is not going to focus on is of no relevance to your research study, and the scope of the study eliminates that.
The scope of the study refers to the elements that will be covered in a research project. It defines the boundaries of the research. The scope is always decided in the preliminary stages of a study. Deciding it in the later stages creates a lot of ambiguity regarding the research goals. The main purpose of the scope of the study is that explains the extent to which the research area will be explored and thus specifies the parameters that will be observed within the study. In other words, it enables the researcher to define what the study will cover and the elements that it will not. Defining the scope helps the researcher acquire a high level of research and writing capability.
The following steps can help the researcher to effectively define the goals of establishing a scope of the study.
The first step is to identify the research needs. This helps them set a benchmark from the first step. Identification of the ‘what’ and ‘why’ enables the researcher to clearly set the research goals and objectives and the manner in which they will be performed.
The goals and objectives defined in the project scope should be aligned with the SMART (Specific, Measurable, Achievable, Realistic and Timeframe) guidelines, which are:
The researcher should take into account the expectations of the research and how well the findings of the researcher will be accepted by the reader. For instance, will the findings of your study help in policymaking or not?
there are always certain roadblocks in conducting research, such as environmental conditions, technological inefficiency and lack of resources. Identifying these limitations and their possible solutions in advance help achieve goals better.
After the preliminary goals are set, the researcher must carry out some part of the research so that necessary changes that lead to waste of time and resources at later stages are reduced. For example, while conducting an interview, if the researcher believes that the sample size decided is too large or too small according to the scope of the study, then the researcher can make the necessary changes in that order to avoid wastage of time and resources.
The major things that the researcher should keep in mind while writing the scope of the study are as follows.
Consider the topic ‘Analysis of the role of social media on the educational development in India from 2000-2015’. The scope of the study for this research topic should include several roles within the mentioned time period. Further, it should also cover the mass media types that have been used in the analysis of the study also including the location and the sample size as well.
With the increase in the number of social media users and its use in everyday communication at the individual and organizational levels, there has been a corresponding increase in its incorporation in educational development and especially in a country like India. In view of this situation, the present study analyzes the role of social media on the educational development of students. To this end, the study will also cover the changes in the usage of social media in the educational field over the time period ranging from 2000-2015. The scope of the study is restricted to select social media platforms, specifically Facebook, Twitter and YouTube. The empirical study in this research is restricted to five universities located across India, wherein the opinions of 30 teachers were studied in interview sessions. Further, the study also involves an analysis of students’ perspectives on the role of social media in education from the same university. Therefore the scope of this study is limited to India, and more specifically to those offering Arts and Science-related courses.
I am a management graduate with specialisation in Marketing and Finance. I have over 12 years' experience in research and analysis. This includes fundamental and applied research in the domains of management and social sciences. I am well versed with academic research principles. Over the years i have developed a mastery in different types of data analysis on different applications like SPSS, Amos, and NVIVO. My expertise lies in inferring the findings and creating actionable strategies based on them.
Over the past decade I have also built a profile as a researcher on Project Guru's Knowledge Tank division. I have penned over 200 articles that have earned me 400+ citations so far. My Google Scholar profile can be accessed here .
I now consult university faculty through Faculty Development Programs (FDPs) on the latest developments in the field of research. I also guide individual researchers on how they can commercialise their inventions or research findings. Other developments im actively involved in at Project Guru include strengthening the "Publish" division as a bridge between industry and academia by bringing together experienced research persons, learners, and practitioners to collaboratively work on a common goal.
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The scope of a study explains the extent to which the research area will be explored in the work and specifies the parameters within the study will be operating.
Basically, this means that you will have to define what the study is going to cover and what it is focusing on. Similarly, you also have to define what the study is not going to cover. This will come under the limitations. generally, the scope of a research paper is followed by its limitations.
as a researcher, you have to be careful when you define your scope or area of focus. remember that if you broaden the scope too much, you might not be able to do justice to the work or it might take a very long time to complete. Consider the feasibility of your work before you write down the scope. Again, if the scope is too narrow, the findings might not be generalizable.
Typically, the information that you need to include in the scope would cover the following:
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The business ecosystem theory has developed rapidly in recent years and has become a hot topic in the field of business and management. However, the use of this concept is controversial. This study systematically reviewed literature published spanning nearly three decades from 1993 to 2022. In this paper, researchers designed an improved traceability method to retrieve literature based on data sources form Web of Science. VOSviewer and CiteSpace are adopted as two scientific atlas tools for information processing and visualization to evaluate the relationship between sub fields of business ecosystem. The findings show that the four branches of business ecosystem, i.e., innovation, platform, entrepreneurship and service, absorb theoretical ideas to varying degrees. Among them, the theoretical inheritance relationship of innovation branch is most clear, and gradually grows into the backbone of ecosystem research. Major contribution of this study is reflected in three aspects: Firstly, the improved traceability method provides a repeatable quantitative description process on the basis of significantly reducing researchers’ subjective participation. Secondly, from perspective of bibliometrics, the branch direction and key nodes of theory development are identified. Thirdly, the study helps identify the future development directions of business ecosystem, including innovation, digitalization, entrepreneurship, self-organization and the strategic transformation guided by emerging technologies.
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Open innovation in business models is as impactful as technological innovation (Chesbrough, 2007 ). At the end of the last century, companies like Apple and Wal-Mart achieved significant success through disruptive innovations based on open platform models. Their achievements have inspired managers and researchers to understand that, in today’s business environment, companies must transcend traditional organizational boundaries to tackle innovation challenges. They need to incorporate external supplements into their governance systems to overcome key bottlenecks that might lie outside organizational control (Adner, 2006 ). In this multi-faceted interaction structure, a system regarded as complex at one level can function as a component in a more extensive system (Christensen & Rosenbloom, 1995 ). Simple bilateral relations cannot fully explain the intricate value relationships among network members in such nested systems, necessitating a shift from existing linear value theories.
In this context, business ecosystem theory emerged. The term “ecosystem” originally described the interactions between organisms and their physical environment (Tansley, 1935 ). This concept has since expanded to encompass complex connections and dynamic evolution beyond natural sciences, profoundly influencing social science research. Business ecosystem theory, a product of interdisciplinary linkages, metaphorically bridges natural and social sciences, offering a groundbreaking business perspective: companies should be viewed not as isolated industry members but as part of a cross-industry business ecosystem (Moore, 1993 ). This theory provides a framework to bridge the gap between reality and theoretical understanding. Surprisingly, it did not gain significant research attention for a long time. Entering the new century, the concept of business ecosystems regained researchers’ interest, with the term appearing sporadically in business research fields. Significant milestones were reached a decade later with two influential studies published in Harvard Business Review (Iansiti & Levien, 2004 ; Adner, 2006 ), leading researchers to recognize the potential of business ecosystems to develop into a comprehensive theoretical knowledge system.
Business ecosystems are not naturally occurring; they are partially shaped by experimental and engineering design from various perspectives (Jacobides et al., 2018 ), reflecting the intentions of system designers. In these systems, each member occupies a unique niche, developing capabilities aligned with goals set by designers, collectively creating value for the entire network (Moore, 2016 ; Iansiti & Levien, 2004 ). System designers are typically one or more core enterprises, referred to as cornerstone companies or focal actors. They simplify complex connections among network participants by creating service, tool, or technology platforms, leveraging platform leadership to influence the innovation direction within the system (Cusumano & Gawer, 2002 ). Non-core companies usually do not rely on a single ecosystem; they benefit from cross-ecosystem operations and diversification strategies. Participation in ecosystems extends the operational scope of non-core firms, equipping them with the management capabilities and technical resources essential for innovation (Selander et al., 2013 ).
Given the diversity of stakeholders, ecosystem structures may represent some of the most extensive network structures in management research (Autio & Thomas, 2014 ). The broad membership facilitates the integration of ecosystem theory with other theoretical paradigms, evolving various ecological branches tailored to different application scenarios. This trait aided the dissemination of concepts in the early stages of theory development. However, with the rapid expansion of terminology usage and fine-grained theoretical applications, the notion of business ecosystems has shifted from being a premium to a discount, similar to a diversified entity (Khanna & Yafeh, 2007 ). Chaotic usage scenarios and blurred theoretical boundaries undermine the theory’s core values, threatening its legitimacy. Some scholars have sharply criticized this trend in recent years (Oh et al., 2016 ; Bogers et al., 2019 ), suggesting that “ecosystems” function more as a “conceptual umbrella” covering various viewpoints rather than a coherent scientific theory (Spigel, 2017 ).
The interdisciplinary nature of business ecosystem theory results in research being widely distributed across various disciplines and fields. This distribution leads to significant subjectivity in the literature review process. Consequently, our study reflects on the limitations of mainstream literature retrieval methods and proposes an improved “traceability method” for collecting literature. Our research focuses on the following three issues:
What is the main scope of relevant research on business ecosystem theory?
What is the logical relationship between the fields of ecological branching?
What are the theoretical development trends and future research directions?
The rest of this paper is structured into four parts. Section 2 introduces the research and data acquisition methods used in this study. Section 3 reveals fundamental information about the retrieved literature, such as growth trends and the distribution of disciplines and journals. Section 4 analyzes and interprets data concerning the three questions above using keyword co-occurrence, co-citation analysis, cluster distribution, burst detection, and timeline trends. Section 5 compares the traceability method used in this study with traditional search techniques and conducts cluster analysis for findings ; The final part, Sects. 6 & 7 summarizes the study, discussing future research directions in this field.
The reasonable selection and filtration of literature are crucial factors that enable smooth and accurate research analysis. Traditionally, the data collection process in existing research comprises two main components: conditional restrictions (such as databases, core terms, subject areas, journals, ratings, etc.) and manual review. This study adheres to this approach for the initial phase of data collection and identifies two opposing challenges:
Subject area restrictions or stringent journal designations can compromise the integrity of research on the periphery.
Removing these restrictions risks limiting the scope to the direction of natural ecology.
This issue partly stems from the metaphorical nature of the business ecosystem concept itself.
To address this challenge, conventional methods often rely on a manual screening process, which increases the subjectivity of the investigator. A horizontal comparison of previous data collection methods highlights the prevalence of this issue. Even with the most stringent double restriction method (Tsujimoto et al., 2018 ), the screening rate for manual review exceeds 50% (see Table 1 below). Such intensive screening can introduce researchers’ personal biases, undermining the credibility of discussions on theoretical boundaries.
To address the challenges in the data collection process, this study developed a literature retrieval method based on concept traceability, using two key literatures as foundational points: (1) Moore’s article “Predators and Prey: A New Ecology of Competition” published in 1993, and (2) the monograph “The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems” published in 1996. The former marks the birth of the business ecosystem concept, while the latter provides the first comprehensive explanation of the theory. Given the expanding scope of ecosystem logic, traceability helps distinguish research based on the business ecosystem concept from those that are not. When an article cites these foundational works, it indicates that the author acknowledges a logical connection between their research and the business ecosystem concept, whether positively or critically. The data samples thus obtained form a necessary subset strongly related to business ecosystem theory.
Building on this foundation, researchers employed VOSviewer and CiteSpace for information processing and visualization. Both programs are designed to construct and view bibliometric maps (Eck & Waltman, 2010 ). VOSviewer excels in speed when handling large-scale maps and balances expressive drawing and functionality, while CiteSpace offers greater operability with a unique timeline view and burst detection function. Bibliometric maps provide a systematic method for researchers to understand the evolution of scientific fields and integrate various information to capture the latest technologies (Chen, 2017 ). This study combines the advantages of both tools to mine and expand information, ensuring that gaps in the sample are filled to meet the literature combing sufficiency requirements.
In summary, this research identifies the shortcomings of traditional methods in handling literature related to business ecosystems and proposes an improved traceability method to address the challenges of the manual review process in data collection.
This study uses the Web of Science (WOS) database as the primary data source. WOS is the leading platform for scientific citation search and analysis, supporting a wide range of scientific tasks across different knowledge areas and serving as a data set for large-scale, data-intensive research. When comparing different databases, WOS is typically regarded as the most stable (Harzing & Alakangas, 2016 ; Mongeon & Paul-Hus, 2016 ; Li et al., 2018 ). Although WOS lacks coverage of social science books (Waltman, 2016 ), this does not impact the study’s content.
Using the WOS citation function “Cited References,” 1106 items were retrieved that cited the 1993 baseline literature. Standard restrictions were applied to refine the target scope: selecting the “Social Sciences Citation Index (SSCI)” and “Science Citation Index Expanded (SCIE)” qualification levels to enhance literature quality, restricting subject headings to include “ecosystem*” to ensure relevance, and selecting only “article” types, excluding “early access” articles. As of March 1, 2022, a total of 400 papers met these requirements. The 610 works citing the 1996 baseline monograph were similarly screened, resulting in 189 retained articles. The two literature sets were combined and deduplicated, yielding a final sample of 488 articles. Each document in the sample focuses on ecosystems and is influenced by Moore’s business ecosystem theory to varying degrees, identifying the sample as research “established on the basis of business ecosystem thinking.”
This information query process is general and traceable. For further review, two experts in related fields were invited to examine the samples and list any doubtful literature. If both experts had doubts about the same literature, it was excluded; if they disagreed, consensus was reached through discussion. The results showed that all sample documents successfully passed the review process.
This section presents fundamental information about the retrieved literature to outline the contours of the business ecosystem field. It includes the distribution of publications by year, country and region, WOS field, journal, and research institution. Among these indicators, only the distribution ratios for years and journals sum to 1, while other items have cross-connections.
Figure 1 illustrates the growth trend of articles citing Moore’s foundational literature in the WOS database. The earliest related article appeared in 2004, confirming a decade-long period of relative silence for the theory. The research field entered an explosive growth phase around 2012, with the number of published papers continuing to rise after a brief fluctuation. Overall, more than half of the total published papers have been produced in the last three years. Currently, the research concept appears to have reached the mature stage of its life cycle, with the publication growth rate stabilizing.
The growth trend of articles in the field of business ecosystem
Figure 2 illustrates the distribution of documents across different countries and regions, segmented into three time periods represented by different colors. Prior to 2019, the top three countries by the number of articles were the USA, England, and China. In the subsequent two years, China’s share of published articles increased significantly, propelling it to the top rank. As of 2022, the top four countries in terms of total published documents are China, England, the USA, and Finland, with a significant gap between these and the following countries and regions.
Distribution of the sample articles in different countries and regions
Figure 3 demonstrates distribution of literature by different subject areas. “Management” and " Business” categories are the main research fields of this theory. At the same time, there are also a large number of research works involving this theory in the fields such as “Regional Urban Planning”, “Environmental Studies”, “Environmental Sciences” and “Green Sustainable Science Technology”. This suggests that ecosystem theory extends beyond stereotypes and builds bridges between multidisciplinary fields. This echoes our concern that “subject area restrictions or more aggressive designated journal restrictions undermine the integrity of the research fringes”.
The top 11 WOS categories by number of articles
In terms of journal distribution, the 488 articles in the sample are spread across 195 journals. Among these, Technological Forecasting and Social Change and Sustainability have notable quantitative advantages, with 47 and 37 papers published, respectively, accounting for 9.63% and 7.58% of the total. From the perspective of research institutions, the University of Cambridge and Tsinghua University are tied for the highest number of publications, although the University of Cambridge holds a more central position within the knowledge network.
This section further analyzes the commonalities and connections between the sample literature, describing the main scope of business ecosystem research using the bibliometric indices “co-occurrence” and “co-citation”.
The full record information of 488 documents was imported into VOSviewer to analyze the co-occurrence of keywords. According to the bibliometric data, 2251 keywords were involved in the sample. To achieve better visualization, the co-occurrence threshold for keywords was set to 6 times, resulting in a visualization map with 135 items, as shown in Fig. 4 below:
Co-keyword network visualization on business ecosystem research
The 135 keywords formed 6 clusters, and the top eleven words sorted by “Total Link Strength” covered all six categories, as shown in Table 2 .
Researchers integrated high-order words calculated by frequency and centrality, categorizing them into three groups:
Initial Search Terms and Derivatives: This includes terms like ecosystem, business ecosystem, network, and business model. Here, the network is related and similar to the ecosystem, with the former being relationship-based and the latter purpose-based. An interesting distinction is that two companies within the same network structure can have vastly different business ecosystems due to differing value propositions (Adner, 2017 ).
Nominalized Verbs: This category includes words such as innovation, value creation, competition, evolution, and cooperation. These terms are highly expressive, reflecting the core of business ecosystem thought. Innovation is the most prominent word, indicating that all business ecosystem projects revolve around innovation. The concept encompasses both dynamic processes and outcomes compared to traditional ecological studies. Notably, “value creation” appeared 88 times, while terms like value distribution or value sharing were scarcely used, highlighting a preference and imbalance in theoretical development. The term competition, particularly in the context of Moore’s “death of competition,” refers to a shift from enterprise to ecosystem competition, often resulting in more intense conflicts between ecosystems.
Generic Terms: This includes words like strategy, performance, technology, knowledge, and framework. Strategy here implies a meso-level perspective, often higher than individual enterprises or industries but below the macro societal level. Performance emphasizes the effective output of ecosystem members, echoing the focus on value creation and reflecting a pursuit of research quantification by scholars.
A key feature of science mapping is co-citation analysis. When two articles appear together in the bibliography of a third article, they form a co-citation relationship (Chen, 2006 ). The co-citation function identifies significant works in the study of inheritance relationships, isolating weakly related or unrelated literature. This process expands our focus from the 488 documents to those within their citation networks, allowing researchers to identify key research results that connect knowledge networks. Conclusions drawn from this approach are significant for discussions on boundary and genre divisions in business ecosystem theory.
According to bibliometric data, 9,725 citation sources were involved in the sample. By setting a minimum citation threshold of 20, 221 entries were included in the visual map, shown in Fig. 5 . This map highlights journals with significant attention in the field, briefly introduced as follows:
Known for being forward-looking, it is the origin and cradle of business ecosystem theory, publishing significant works by Moore, Iansiti, and early Adner.
Known for outstanding works by Adner and Kapoor ( 2010 ), Jacobides et al. ( 2018 ), and Hannah and Eisenhardt ( 2018 ), these works are frequently cited and remain foundational.
Notable for the number of articles published on ecosystems, significantly outperforming other journals in this index.
Using CiteSpace, co-citation analysis was conducted on key nodes. Full record information of 488 documents was imported, with the network clipping method set to “Pathfinder.” In the co-citation graph, node size represents the frequency of occurrences, and line thickness indicates co-occurrence frequency. Figure 6 shows two visualization perspectives of co-citation analysis:
Author Perspective: This map shows the shapers of theoretical foundations, key bottleneck breakthroughs, and continuous investment builders, emphasizing the historical significance of researchers.
Literature Perspective: This map observes field connections and sustained influence, emphasizing the importance of recent research results and depicting a more complex relationship structure between literature.
Co-citation analysis maps from the perspective of author (above) and literature (below)
Among the top ten authors with total citations, Moore, Iansiti, Adner, Jacobides, and Autio have been previously mentioned. Gawer and Nambisan will be introduced in clustering information and burst detection later. Porter and Teece, masters in strategic management and competitive strategy, also provide intellectual value for business ecosystem theory. Porter’s concept of creating shared value aligns with business ecosystem ideas (Porter & Kramer, 2011 ), focusing on value shared within the ecosystem. Teece’s most co-cited work explores innovative support for the digital platform ecosystem (Teece, 2018 ). Additionally, Eisenhardt stands out as a prominent node in the citation network, with her work improving the case study method being frequently cited (Eisenhardt, 2007 ).
This sector explored the scope of business ecosystem literature using co-occurrence and co-citation analyses. The analysis revealed the evolution of business ecosystem research and its integration with strategic management, highlighting the importance of shared value and digital platform ecosystems, and underscoring the historical and ongoing contributions to the field. In the following sector, we will compare the method used in this study with traditional search techniques.
5.1 comparison between new traceability method and traditional search techniques.
The traceability method proposed in this study offers significant advantages over traditional search techniques. Firstly, it aligns closely with the trajectory of business ecosystem theory, which has a well-documented origin and a ten-year quiescent period, effectively minimizing interference from multiple sources. Secondly, the literature sourced through this method directly links to the theoretical origin, aiding in excluding: 1) Passive fuzzing usage, where researchers use ecological concepts merely as a backdrop without engaging with the theoretical source; 2) Actively blurred usage, where authors may avoid acknowledging the theory’s historical importance for various reasons; 3) Same disciplinary usage, where the concept of ‘ecosystem’ is used differently within the same field, such as the interaction between businesses and natural ecology, without a significant inheritance relationship.
Thirdly, this method mitigates the impact of subjective biases, providing highly discriminative samples that help address contentious issues more effectively.
Although the proposed traceability method has certain limitations compared to traditional search techs, the study has effectively addressed these limitations. One limitation is that it omits documents without citation information, such as articles in the Harvard Business Review, which cannot be retrieved using citation data. Another limitation is the potential overemphasis on certain authors and their research teams, beyond the method’s intended scope. To address the first limitation, this study used bibliometrics to expand the sample and complete the knowledge network. Bibliometric methods employ quantitative approaches to describe, evaluate, and monitor published research, introducing a systematic, transparent, and repeatable review process, thereby enhancing review quality (Zupic & Čater, 2015 ). The second limitation regarding author prominence was addressed by analyzing work from Google Scholar, showing that most of Moore’s ecosystem-related work is independent, with the chosen base points having clear advantages in timelines and citation counts, suggesting that the influence of authorial weight is within acceptable limits.
This study also incorporated a control data set, applying traditional domain constraints like “Management or Business or Economics” and restricting the level to SSCI and SCIE, excluding articles with “early access”. The sample was manually reviewed, resulting in 579 out of 952 articles passing the review. Researchers further validated the new method’s unique advantages by conducting lexical clustering analysis on co-cited documents and comparing these with samples obtained via traditional searches. The analysis, supported by CiteSpace software, confirmed that clusters with a modularity (Q) value above 0.3 and a silhouette (S) value above 0.7 are considered structurally sound and efficient. The new method achieved Q values of 0.926 and S values of 0.952, surpassing traditional methods in creating more coherent and interconnected clusters. The traditional method resulted in scattered clusters with sparse connections, whereas the traceability method produced tightly integrated clusters, enhancing cross-disciplinary linkages and producing distinct cluster labels, which are illustrated in Figs. 7 and 8 .
Clustering comparison of traditional retrieval methods
Clustering comparison of traceability retrieval methods
Comparing the cluster profiles of the two groups of samples, the researchers found significant discrepancy. The clustering modules obtained under the traditional retrieval method are obviously scattered, and the connections between nodes are relatively sparse, while the modules are closely combined under the traceability method, covering more node in the intersection area. These articles serve as a key link between different fields. At the same time, the cluster labels extracted by the two methods are quite different. Tables 3 and 4 respectively list the clustering information of both two samples. The serial numbers are arranged according to the number of members in the group, and the correlation depends more on location of the cluster. With 25 members as the boundary, traceability samples form 7 categories above the scale, and this indicator is 8 in traditional samples. LSI and LLR represent two label extraction algorithms, which are carried out after the clustering ends and do not affect the shape of the clusters.
The results indicate that traditional clustering labels cover a broader range and include general terms like business model and digital platform, suggesting a less precise focus on the research field. New technology hotspots, such as digitization and the Internet of Things, have become central concepts in this theory. The traditional retrieval method often extends literature too far into adjacent disciplines. For example, the semantics of “service-dominant logic” overshadow “service ecosystem,” making it a key clustering label, while entrepreneurship literature is overrepresented, splitting the concept into “Entrepreneurial Ecosystem” and “Value Capture.” Additionally, “digital service” forms a loosely connected category, making it challenging to determine a stable relationship with business ecosystem theory. These issues highlight the negative impact of stringent field restrictions and intensive manual review on the scientific quality of literature samples.
Despite significant differences, both sample groups agree on basic concepts. They clearly delineate four ecosystem sub-concepts: innovation, platform, entrepreneurship, and service, aligning with mainstream business ecosystem reviews. Business, innovation, and platform clusters hold central positions, while entrepreneurship and service are relatively peripheral. The entrepreneurial ecosystem consistently forms an independent module with a stable member association structure. The following example will analyze the clusters generated according to the traceability method.
Cluster 0 is named as the entrepreneurial ecosystem, and this category has the most group members, and the top three papers with co-citation index are Spigel, 2017 ; Acs et al., 2017 ; Audretsch & Belitski, 2017 . Entrepreneurial flow is an incomplete ecosystem, which is generally limited by geography, and more consideration is given to analysis and research in conjunction with local cultural backgrounds and social systems. There are also barriers in the exchange of entrepreneurial ecosystems and external resources. Entrepreneurs often do not compete for market share, but sell an expectation to attract capital. Therefore, the entrepreneurial ecosystem is likely to lack a dominant player.
On a larger map scale, entrepreneurial ecosystems are connected to knowledge ecosystems, but their value propositions and relational structures are fundamentally different. The centers of the knowledge ecosystem are universities and public research institutions, and value flows mainly linearly along the value chain; the cornerstone of the business ecosystem is the leading company that provides key resources and business infrastructure, and the value creation process adopts an integrated approach (Clarysse et al., 2014 ). It can also be seen from the co-citation relationship that the logical connection between the two concepts is estranged and does not form a major clustering structure. It is worth noting that the process of converting knowledge to business value is still included in the field of business ecosystem research.
The label of cluster 1 is the subject word business ecosystem, and the top three documents in the co-citation index are Adner, 2017 ; Gawer & Cusumano, 2014 ; Oh et al., 2016 . According to Moore’s ( 2016 ) definition, business ecosystem is an economic community of suppliers, major producers, consumers, competitors, and other stakeholders whose members collectively develop their capabilities and tend to align with the direction set by one or more central companies. Iansiti and Levien ( 2004 ) summarized the roles of companies in the business ecosystem as cornerstone, dominant and niche; and constructed three health indicators for evaluating business ecosystems: productivity, robustness and niche creation. As can be seen from the two core literatures of business flow, the school starts from the role of stakeholders, studies the behavior and activities of the participants, and finally boils down to the value proposition of the system. Adner ( 2017 ) reads this process in reverse, starting with a value proposition, considering the activities needed to materialize it, and ending with actors that need to be adjusted. A logical deepening develops between the two schools, the former emphasizing roles and structural relationships, the latter emphasizing value propositions and changing processes. From the perspective of operational effects, starting from the value proposition helps to establish connections with potential participants and achieve multilateral interaction.
Cluster 3 is named platform ecosystem or two-sided marketplace. The top three articles in the co-citation index are Gawer, 2014 ; McIntyre & Srinivasan, 2017 ; Reuver et al., 2018 . Platform may be the fastest growing of all research streams. Under the trend of the Internet of Everything, any business form can be built on the platform, but only by focusing on platform behavior can it be regarded as a platform genre literature. Gawer ( 2014 ) defines an external platform as a product, service or technology, that is the ecological basis for an organization’s external innovators to develop their own complementary products, technologies or services. We also noticed that the platform is in a crossover zone, and its S value is only 0.852, which is in a low range. This means that its composition is more complex.
Cluster 4 is named Innovation Ecosystem, with an S-value of 0.965 being the highest in the list. This indicates a high homogeneity of the set. The top three papers in this cluster are Jacobides et al., 2018 ; Gomes et al., 2018 ; Hannah & Eisenhardt, 2018 . Jacobides et al., ( 2018 ) believes that the mainstream of ecological literature includes business flow, innovation flow and platform flow. The above-mentioned schools of business ecosystem theory have inherited the commonalities of ecosystem research. The ecological characteristics that have been agreed upon are modularity, complementarity, multilateral market relationships and common value proposition. This work by Jacobides is also the most recent explosive literature (Fig. 8 ). What deserves special attention is that the outbreak period of this document has not yet ended, and its second-ranked intensity score still has a large room for improvement.
The label of cluster 6 is service ecosystem, and the top three co-citation literatures are Vargo & Lusch, 2016 ; Lusch & Nambisan, 2015 ; Vargo et al., 2015 . Compared with the logic deepening of “role” to “structure” in the business school, the service school tends to transform from “product” to “service”. In this process, the service-dominant (S-D) logic is the core. Humorously, the research positions of Vargo and Lusch, the founders of S-D logic, may still be slightly different. Moore’s work is almost never cited in Vargo’s literature, while Lusch describes in detail the process of combining S-D logic and ecosystems: a relatively independent and self-regulating system consisting primarily of loosely coupled social and economic actors linked together by shared institutional logic and exchange of services to create common value (Lusch & Nambisan, 2015 ).
The top three co-citation literatures of other two clusters are Tsujimoto et al., 2018 ; Rong et al., 2015 ; Russell & Smorodinskaya, 2018 (cluster 3); and Adner & Kapoor, 2010 , Adner, 2012 ; Basole & Karla, 2011 (cluster 5). Due to space limitations, the introduction will not be carried out. Readers can read and refer to it by themselves. In particular, digitization has been inserted into multiple research streams and has the potential to develop into an independent digital ecosystem school. From the perspective of cohesion, the concept is only lack of landmark literature from the perspective of ecosystem.
The burst detection function in CiteSpace is used to investigate the phenomenon of sudden increases in the frequency of research topics over a short period, with intensity indicating the level of attention to these hotspots. In the field of business ecosystem research, 43 outbreak literature nodes were initially identified using default parameters. By adjusting the criteria, researchers narrowed this down to the nine most significant pieces of literature.
As shown in Fig. 9 , these nine articles play a crucial role in the evolution of research directions. Business ecosystems and innovation ecosystems exhibit contrasting logical structures, forming at the intersection where a role-based perspective transitions to a structural perspective (Adner & Kapoor, 2010 ; Kapoor, 2018 ). The independence of the innovative school signifies a shift in ecosystem research from a metaphorical ecological relationship to the fundamental logic of business activities. Another critical aspect is examining the value creation and value capture processes as interconnected components (Ritala et al., 2013 ), which helps bridge the research gap resulting from an overemphasis on value creation.
The top 9 literatures by burst strength
Nambisan ( 2013 ) discussed the innovation ecosystem and entrepreneurial environment within the context of central platforms. Due to the overlapping meanings of “business ecosystem” and “innovation ecosystem,” this article serves as a bridge connecting the four main modules. The mixing of terms is common in platform research. In this context, Moore and Iansiti’s work is recognized for their research on platform-based business ecosystem innovation (Gawer & Cusumano, 2014 ). One of the figures summarizes literature related to the platform ecosystem and compares it with the literature flow of other platforms (Thomas et al., 2014 ).
Figure 10 illustrates the time axis map of the 13 main research lines. Solid lines indicate that a line has formed an emerging research area, while dotted lines suggest a cooling trend. Analysis shows that the two-sided market route transitioned to the innovation ecosystem route around 2018, with the business ecosystem branch completing this shift earlier. The convergence of these paths has fostered the growth of the innovation branch into a mainstream research line. The service path has developed steadily for a long period, though its popularity has waned in the past two years. The digital technology research series draws from multiple branches, with its influence steadily expanding, making it the route with the most development potential. Generally, the life cycles of Routes 2, 9, 10, 12, and 15 are relatively short and have been out of the spotlight for a long time. Conceptual fields such as entrepreneurship, innovation, Internet of Things, digitalization, and self-organization continue to release energy, with innovation and digitization leading the way.
Timeline map of main research routes
The research findings indicate that future development in the ecological domain will predominantly focus on innovation, digitization, entrepreneurship, self-organization, and strategic transformations driven by technologies such as the Internet of Things. Due to extensive digital scene construction and industrial digital transformation, digital ecosystem theory is well-grounded in practice and has the potential to evolve into a distinct research domain. Business ecosystem theory effectively captures the dynamic evolutionary process of value logic through three critical links: value creation, value capture, and value sharing. While there is substantial work on integrating value creation with value capture, research that intricately weaves these with value sharing remains scant.
Following the model proposed in our paper, relevant literature in the field has emerged. Consequently, we have adopted this traceable method to identify and review 17 documents published since March 2022, aiming to examine recent research developments. The key findings from this review are discussed below.
Yoon et al. ( 2022 ) examined the connection between business and biological ecosystems, suggesting that a key specie, a leader within a business ecosystem, can enhance its success by strategically managing symbiotic relationships; Shou et al. ( 2022 ) deconstructed business ecosystems into four aspects: complementarity, capabilities, co-creation, and co-evolution, noting that many of the world’s largest and most valuable companies adopt this ecosystem approach. The lack of a unified understanding of business ecosystem features and characteristics complicates the ability of business leaders to formulate and implement effective strategies; Hoeborn et al. ( 2022 ) developed a morphological framework describing all value systems and applied it to business ecosystems, linking its characteristics with ongoing inter-organizational research to aid practitioners in implementing ecosystem concepts; Chandrasekharan and Titov ( 2022 ) explored the business models within the ÜlemisteCity ecosystem to understand the conceptualization of business models and the factors influencing their creation or transformation from an ecosystem perspective, developing a conceptual framework to enhance organizational participation and value processes within ecosystems. Cui et al. ( 2022 ) explored how key enterprises govern their business ecosystems under conditions of resource abundance and resource scarcity.
Further studies have linked business ecosystems to various industries, exploring structural dimensions and standards for assessing industries. Chang et al. ( 2022 ) used fuzzy hierarchical analysis, fuzzy decision-making methods, and experimental laboratory methods to construct five evaluation dimensions and thirty-one evaluation criteria to explore the open data service industry from the perspective of the business ecosystem. Winkler et al. ( 2023 ) demonstrated how knowledge misalignment, knowledge gaps, cultural differences, insufficient building codes, frequently changing regulations, and the implementation of highly embedded innovations disrupt ecosystem coordination, by studying the challenges faced by business ecosystem coordination when implementing solar PV systems in the Swedish built environment. Zhao et al. ( 2022 ) explored the structure of the business ecosystem required for companies to achieve sustainable performance and investigated the open innovation that can be promoted on this basis. Mann et al. ( 2022 ) introduced orchestration as a concept to pursue this research opportunity, using it to observe digital transformation in business ecosystems. Fort ( 2023 ) studied productivity and fairness in the U.S. financial market from the perspective of the business ecosystem. Wei and Li ( 2023 ) researched the impact of platform strategies and niche strategies on corporate growth based on the perspective of business ecosystem positioning. Suuronen et al. ( 2022 ) revealed the significant impact of digital business ecosystems on the industry through a systematic literature review of the prerequisites, challenges, and benefits of manufacturing DBEs. Yi et al. ( 2022 ) examined stakeholder relationships, organizational learning, and business model innovation based on the perspective of business ecosystem research systems. Burström et al. ( 2022 ) integrated business and digital ecosystem literature to study the present and future of software ecosystems. Kokkonen et al. ( 2023 ) studied digital twin business ecosystems based on qualitative data collected from six case companies in the manufacturing industry. Marques-McEwan et al. ( 2023 ) investigated the transition to CE in the chemicals manufacturing industry, revealing the rules for creating circular business ecosystems. Zhu and Du ( 2023 ) investigated the impact on the value of existing business ecosystems when new innovations are introduced, through an event study of Google’s self-driving car announcement.
Collectively, these insights not only deepen academic understanding of business ecosystems but also guide enterprises in formulating and implementing effective strategies in today’s complex business landscape. As digital scene construction and industrial digital transformation continue to solidify the practical foundation for integrating digitalization with ecosystem theory, the direction is poised to evolve into an independent branch of study. However, research methodologies still require further refinement to broaden theoretical applicability. Facing these challenges, coupling business and social ecosystems offers a viable direction. Developing standards and regulatory frameworks to guide sustainable business ecosystem constructions and prevent capital-driven changes in cornerstone enterprises’ nature remain critical future research topics.
This paper designed an improved traceability method to retrieve literature related to business ecosystem theory in the WOS database, aiming to avoid interference from the stringent field restrictions and intensive manual screening typical of traditional retrieval methods. Co-occurrence, co-citation, and cluster analyses were used to outline the context of knowledge production, with research results visualized using two scientific mapping tools, VOSviewer and CiteSpace.
This study provides several key insights. Firstly, innovation, platform, entrepreneurship, and service, as main ecological branches, inherit business ecosystem theory to varying degrees. The innovation branch has a clear inheritance relationship and has become a new backbone of ecosystem research. The platform branch has a relatively loose association structure with extensive cross-links to other branches. The entrepreneurial branch’s unique theoretical application scenarios make it easily distinguishable. The service branch combines S-D logic with business ecosystem theory, but research progress on this branch’s ecosystem preference is slow due to S-D logic’s prominence. We identified the shapers of theoretical foundations, breakthroughs of key bottlenecks, and builders of continuous investment in each branch, focusing on nine key literatures that bridge different fields and play a significant role in ecosystem research development.
Although the study offers valuable references for scholars as discussed above, some limitations should be noted and addressed in future research. Firstly, the sample data is sourced from a single database, limiting journal coverage. Secondly, early literature citations are inconsistent, compounded by the impact of journal literature without citations, creating obstacles for vertical logical context and visual analysis. Finally, this article proposes a literature retrieval strategy based on the genealogy of concepts, using James Moore’s seminal works as temporal benchmarks, i.e. his1993 article “Predators and Prey: A New Ecology of Competition,” marking the inception of the business ecosystem concept; and his 1996 book, ‘The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems,’ which provided the first comprehensive interpretation of the theory. However, Moore’s introduction of the concept in 1993 did not gain academic acceptance until a decade later, with significant studies emerging only in 2022. This highlights the unique aspects of studying this concept. While the traceability method is suitable for historical research of business ecological theory, its application in other research domains may introduce noise, requiring careful judgment by researchers regarding specific circumstances. Therefore, discussing the limitations and applicability of this method to other fields is essential.
The data that support the findings of this study are derived from public domain resources, which are available in Web of Science.
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The research leading to these results received funding from Chongqing Education Commission, under Grant Agreement No.: 23SKGH138: “Research on the relationship between the ecological dominance of chain owner enterprises, supply chain integration and supply chain innovation performance”.
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Xia Zhang & Yue Yang
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Correspondence to Yun Chen .
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Zhang, X., Yang, Y. & Chen, Y. History and future of business ecosystem: a bibliometric analysis and visualization. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-024-05318-6
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Received : 07 September 2023
Accepted : 17 August 2024
Published : 27 August 2024
DOI : https://doi.org/10.1007/s10668-024-05318-6
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Scope of research refers to the range of topics, areas, and subjects that a research project intends to cover. It is the extent and limitations of the study, defining what is included and excluded in the research. The scope of a research project depends on various factors, such as the research questions, objectives, methodology, and available ...
A well-defined research or study scope enables a researcher to give clarity to the study outcomes that are to be investigated. It makes clear why specific data points have been collected whilst others have been excluded. ... The sample size is a commonly used parameter in the definition of the research scope. For example, a research project ...
The scope of the study can come down to any number of things, including the researchers' interest, the current state of theoretical development on the subject of mental health, and the design of the study, particularly how the data is collected. It might even boil down to influences like geographical location, which can determine the kind of ...
What is scope and delimitation in research. The scope of a research paper explains the context and framework for the study, outlines the extent, variables, or dimensions that will be investigated, and provides details of the parameters within which the study is conducted.Delimitations in research, on the other hand, refer to the limitations imposed on the study.
Your study's scope and delimitations are the sections where you define the broader parameters and boundaries of your research. The scope details what your study will explore, such as the target population, extent, or study duration. Delimitations are factors and variables not included in the study. Scope and delimitations are not methodological ...
Image by Freepik. The scope of research is a crucial element in any academic study, defining the boundaries and focus of your investigation, which is crucial for the scope of the study.This article will guide you through the process of writing a well-defined scope, ensuring your research paper is manageable, impactful, and achievable.. If you're embarking on your first academic writing journey ...
Scope of research is determined at the beginning of your research process, prior to the data collection stage. Sometimes called "scope of study," your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you'll be able to achieve your goals and outcomes.
The scope and delimitations of a thesis, dissertation or research paper define the topic and boundaries of the research problem to be investigated. The scope details how in-depth your study is to explore the research question and the parameters in which it will operate in relation to the population and timeframe.
The scope of your project sets clear parameters for your research.. A scope statement will give basic information about the depth and breadth of the project. It tells your reader exactly what you want to find out, how you will conduct your study, the reports and deliverables that will be part of the outcome of the study, and the responsibilities of the researchers involved in the study.
A well-defined research or study scope enables a researcher to give clarity to the study outcomes that are to be investigated. It makes clear why specific data points have been collected whilst others have been excluded. ... The sample size is a commonly used parameter in the definition of the research scope. For example, a research project ...
Scoping studies (or scoping reviews) represent an increasingly popular approach to reviewing health research evidence [ 1 ]. However, no universal scoping study definition or purpose exists (Table 1) [ 1, 2 ]. Definitions commonly refer to 'mapping,' a process of summarizing a range of evidence in order to convey the breadth and depth of a field.
Scope of research is determined at the beginning of your research process, prior to the data collection stage. Sometimes called "scope of study," your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you'll be able to achieve your goals and outcomes.
Scope refers to the range of the research project and the study limitations set in place to define the boundaries of the project and delimitation refers to the specific aspects of the research project that the study will focus on. In simpler words, scope is the breadth of your study, while delimitation is the depth of your study.
Answer: The scope of a study explains the extent to which the research area will be explored in your work, and it specifies the parameters within which the study will be operating. In other words, you will have to define what the study will cover and what it focuses on. Similarly, you also have to explain what the study will not cover.
Definition: Limitations refer to constraints or weaknesses within the research study that may impact its validity or generalizability. Types: Limitations can arise due to various factors such as methodological constraints, resource limitations, scope constraints, ethical considerations, and time constraints.
To write your scope of the study, you need to restate the research problem and objectives of your study. You should state the period in which your study focuses on. The research methods utilized in your study should also be stated. This incorporates data such as sample size, geographical location, variables, and the method of analysis.
Academic research is a meticulous process that requires precise planning and clear boundaries. Two pivotal components in this process are the scope and delimitations of the study. The definitions and establishment of these parameters are instrumental in ensuring that the research is effective, manageable, and yields relevant results. The "scope" of a research project refers to the areas that ...
The scope of the study explains the extent to which your research area will be explored, and the parameters the study will operate. It gives the reader and the writer an insight into what the study is aimed at and what should be anticipated. This implies that the scope of the study should define the purpose of your study, the sample size and ...
By Priya Chetty on January 23, 2020. The scope of the study refers to the elements that will be covered in a research project. It defines the boundaries of the research. The scope is always decided in the preliminary stages of a study. Deciding it in the later stages creates a lot of ambiguity regarding the research goals.
The scope of the study is a section in a research proposal/thesis/report where the researcher engages in the discussion of the research areas, research questions, objectives,
1 Answer to this question. Answer: The scope of a study explains the extent to which the research area will be explored in the study and specifies the parameters within which the study will be operating. Thus, the scope of a study will define the purpose of the study, the population size and characteristics, geographical location, the time ...
The scope of a study, as you may know, establishes the extent to which you will study the topic in question. It's done, quite simply, to keep the study practical. If the scope is too broad, the study may go on a long time. If it's too narrow, it may not yield sufficient data. For examples of the scope, you may refer to the following queries ...
Posted on July 24, 2022 ·. The scope of a study explains the extent to which the research area will be explored in the work and specifies the parameters within the study will be operating. Basically, this means that you will have to define what the study is going to cover and what it is focusing on. Similarly, you also have to define what the ...
This study aims to tackle this issue by identifying the primary enablers of scope definition, which are crucial for determining the appropriate level of detail required for an effective scope definition. Furthermore, the research seeks to pinpoint the most significant elements of scope definition and assess their relative importance, offering ...
The business ecosystem theory has developed rapidly in recent years and has become a hot topic in the field of business and management. However, the use of this concept is controversial. This study systematically reviewed literature published spanning nearly three decades from 1993 to 2022. In this paper, researchers designed an improved traceability method to retrieve literature based on data ...