Keywords
Entrepreneurship, Ecosystem and Entrepreneurial inattention
The primary objective of this study is to advance research by providing a conceptual framework for entrepreneurship ecosystem building and the growth of entrepreneurship intention among students in higher education institutions. The study conducted a comprehensive literature review, selecting peer-reviewed articles on entrepreneurial ecosystem building and entrepreneurial intention growth. A systematic review (SR) method was used to achieve he stated objectives. The PRISMA protocol, searching approach, inclusion and exclusion criteria, and data analysis technique were successfully applied. The research finding shows that developing a robust entrepreneurial ecosystem within universities can stimulate entrepreneurial activities, enhance self-efficacy, and cultivate an entrepreneurial culture. The findings also underscore the importance of creating environments that not only provide knowledge and skills but also practical experiences and support networks essential for nurturing future entrepreneurs. Finally, both empirical and practical implication was identified and a future research direction was suggested for future researchers.
Entrepreneurship, Ecosystem and Entrepreneurial inattention
We sincerely thank the reviewers for their constructive feedback and continued guidance. In this third version, we thoroughly revised the manuscript to correct language and clarity issues, improved the quality and relevance of all figures and tables removing meaningless labels and converting some figures into tables for better readability and clarified the analytical methods, including SEM, multiple regression, PLS, and other approaches, ensuring consistency between the text and data. Additionally, we reorganized sections to enhance the logical flow of the study, making it easier for readers to follow the objectives, results, and discussion. We believe these revisions fully address the reviewers’ comments and substantially improve the manuscript.
To read any peer review reports and author responses for this article, follow the "read" links in the Open Peer Review table.
Building a robust entrepreneurship ecosystem is crucial for global economic sustainable development. Today, universities play a more significant role both politically and economically in the knowledge economy and society since they are centers of knowledge production and transmission. Collaborative efforts among government entities, educational institutions, professional infrastructure, and entrepreneurs are essential to strengthen entrepreneurship ecosystems, ultimately contributing to global economic sustainability (Vrabec et al., 2023). University plays a crucial role in fostering entrepreneurial intentions among students by providing high-quality entrepreneurship education, exposure to successful entrepreneurs, hands-on experiences, workshops, funding, mentorship, and a supportive environment (Astuty et al., 2022; Vrabec et al., 2023; Uctu & Al-Silefanee, 2023).
The entrepreneurial ecosystem is a network of interrelated actors and variables that support productive entrepreneurship (Stam, 2015). In this study, the ecosystem is seen as universities’ practice building an entrepreneurial ecosystem that emphasizes the importance of a supportive environment that includes not just formal education but also extracurricular activities, incubators, and networking opportunities. Universities that actively engage in creating a strong entrepreneurial ecosystem tend to see higher levels of entrepreneurial activities among students (Lajos Makai, A., & Dory, T. 2023; Makai & Dory, 2023).
Building entrepreneurship ecosystem through quality education in higher education at scale has therefore been at the top of the national agenda for most national economies. Universities also assume the responsibility of fostering entrepreneurship and actively participating in the community economy. Therefore, this study aims to review how higher education contributes to building an entrepreneurship ecosystem and knowledge production that fosters student entrepreneurial intention to pursue self-employment and sustainable entrepreneurship development.
An entrepreneurial ecosystem is defined as a set of dynamic local, social, institutional, and cultural processes and actors that promote new firm formation and growth. Unlike other related concepts such as clusters or innovation systems, entrepreneurial ecosystems start with the individual entrepreneur rather than the company and emphasize the local context (Fuller-Love & Akiode, 2020). The concept of an entrepreneurial ecosystem has gained significant popularity, evidenced by the increasing number of scholarly articles, books, and conferences dedicated to this topic. Various scholars have since adapted the ecosystem concept to different fields, including strategy, knowledge, innovation, and entrepreneurship ( Nasib Jafarov & Hungarian, 2022). Entrepreneurial ecosystems are a framework for understanding entrepreneurial activity in certain locations and industries (Cantner et al., 2021).
There are different models that illustrate the elements of an ecosystem, each contributing uniquely to the understanding of these systems. Nasib Jafarov & Hungarian (2022) summarized six Entrepreneurship ecosystem models. Accordingly, the assumptions and the appropriateness of the models for these studies are discussed as follows. Ecosystem Domains by Isenberg (2016). Isenberg’s model emphasizes six critical dimensions that foster entrepreneurship: policy, markets, finance, human capital, support, and culture. Each area comprises distinct factors such as tax breaks, venture funding, educational institutions, and social attitudes toward entrepreneurship. Ecosystem Pillars by the World Economic Forum (2013) identifies three critical pillars for entrepreneurial success: accessible markets, human capital/workforce, and funding and finance. According to the entrepreneurship model by Koltai, S. R. (2016) identifies six key pillars for successful entrepreneurship: identifying, training, connecting, funding, enabling, and celebrating entrepreneurs. It also identifies six key stakeholders: NGOs, corporations, foundations, government, academic institutions, and investors.
An entrepreneurial ecosystems are combinations of social, political, economic, and cultural elements within a region that support the development and growth of innovative startups and encourage new entrepreneurs and other actors to take the risks of starting, funding, and otherwise assisting high-risk ventures. According to Budden & Murray (2019), the Innovation-driven entrepreneurship approach emphasizes innovation as a fundamental driver of economic development and competitiveness. This approach highlights the necessity of establishing an environment that supports entrepreneurs’ creative efforts. The Entrepreneurial Ecosystem (EE) concept, created by Stam & van de Ven (2021), emphasizes the dynamic and varied character of entrepreneurship within a community of interconnected players. The model has three components institution: resource endowment and productive entrepreneurship.
This review aims to advance research actions by offering a conceptual framework about entrepreneurship ecosystem building and entrepreneurship intention growth among students in higher education institutions. The study conducted a comprehensive literature review, selecting peer-reviewed articles on entrepreneurial ecosystem building and entrepreneurial intention growth. To achieve this stated objective, the researchers established the following three basic research questions.
1. What are the positions of higher education roles in building entrepreneurial ecosystems to support enhancing student entrepreneurial intentions?
2. How is the relationship between entrepreneurial ecosystem support and student entrepreneurial intentions measured?
3. What types of methods and instruments are used to study entrepreneurial ecosystems and student entrepreneurial intentions?
In this study, a systematic review method of research design was employed. A systematic review is a method of evaluating and interpreting available articles that is most relevant to the subject area in systematic and scientific procedures (Kitchenham, 2014). Domain-based systematic review was implemented to address the concerns of what methods and procedures are used to study the entrepreneurship ecosystem, how knowledge has improved related to the entrepreneurship ecosystem and entrepreneurial intentions, and what we will do in the future to build an effective entrepreneurial ecosystem for enhancing students' entrepreneurial intentions.
A comprehensive, unbiased search approach was applied in this paper. According to Higgins et al. (2019), peer evaluation of search techniques is becoming a vital stage in developing and implementing high-quality search strategies to find publications for prospective inclusion in systematic reviews. This study relies heavily on two database sources, Scopus and Web of Science, to identify and choose relevant, trustworthy, and noteworthy literature. Because these two databases are internationally recognized as the most comprehensive, reliable, and authoritative sources of scholarly information. They provide access to high-quality, peer-reviewed journals, conference proceedings, and books across multiple disciplines. Using these databases ensures that the literature selected is credible, up-to-date, and widely cited, which strengthens the validity of the research. Moreover, both Scopus and Web of science offer advanced search and citation-tracking tools that help identify influential studies, assess research trends, and avoid the inclusion of predatory or low-quality publications. During the search for sources, entrepreneurship, entrepreneurship ecosystem, entrepreneurship education, entrepreneurship support, and entrepreneurial intentions were used as search terms.
Data collection process
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was developed at this stage to assist systematic reviewers in transparently reporting why the review was undertaken, what the authors did, and what they discovered (Page et al., 2021). PRISMA procedure consists of three major phases. The next sections will explain and justify the actions taken throughout each of these stages, at Figure 1.
Eligibility criteria
The inclusion and exclusion eligibility search criteria, which are set by the search questions and the objective of the review, serve as a filter to choose studies for the review. PRISMA procedure consists of three major phases. The next sections will explain and justify the actions taken throughout each of these stages.
In this stage, the term entrepreneurship, entrepreneurship ecosystem, entrepreneurship education, entrepreneurship support, and entrepreneurial intentions were used. Articles search from 2015 up to 2024 identified. Google Scholar was used as a search engine, for those research indexed in both Scopus and Web of science since Google Scholar is an online search engine that helps to find scholarly data from academic publishers (Hoseth, 2011; Jamali & Nabavi, 2015; Miller, 2019). In this case, a total of 425 articles were identified and collected from both Scopus and web of Science-indexed articles and journal.
During the screening stage, the source of data, duplication, and article language were all taken into account. As a result, 7 articles were rejected during this stage. On the other side, 318 articles were chosen and passed to the next level of eligibility.
During this stage, 386 articles were rejected. On the other hand, 32 articles were chosen based on related field and types of research eligibility criteria And then the researcher reviewed 23 articles by using content analysis Content analysis is One of the most popular analytical techniques used in this multidisciplinary field, simply a collection of steps used to organize discrete data into a format that allows analysts to draw conclusions (Parveen & Showkat, 2017).
The researcher employed a data analysis approach that includes both descriptive and content analysis for the review questions developed at the beginning of the procedure. The descriptive analysis was carried out utilizing the categories supplied by the data mining form. The review matrix was developed to compare research findings based on database type (conceptual, empirical, or review) and level of analysis. To execute this type of analysis, the researcher had the following processes. First, the researcher classified the study descriptions into qualitative and quantitative research categories, as well as the data types used. Second, the research findings in each category were reviewed using a data summary. In the third stage, we synthesize the findings from all of the studies included in the study. There were both theoretical and practical findings mentioned. Finally, the conclusion was drowning based on the results. And also the researcher identified the opportunity of this study to suggest to future researchers conducting advanced scientific research in this area.
This review aims to advance research actions by offering a conceptual framework about entrepreneurship ecosystem building and entrepreneurship intention growth among students in higher education institutions. To achieve this objective, descriptive and content analysis methods were used to reach the conclusion, recommendations, and future research.
According to Table 2, quantitative research received the greatest attention, accounting for 53.1% (17 studies), indicating a strong preference for measurable data and statistical analysis. Qualitative research constitutes 34.4% (11 studies), reflecting a moderate reliance on exploratory and non-numerical approaches. Mixed-method research represents the smallest proportion at 12.5% (4 studies), suggesting limited integration of qualitative and quantitative methodologies. Overall, the findings indicate that quantitative techniques remain the dominant methodological approach for assessing the entrepreneurship environment and entrepreneurial ecosystem.
As Figure 2 below presents the distribution of articles by year of publication from 2016 to 2023. The number of publications was relatively low between 2016 and 2019, indicating limited scholarly attention during this period. However, a noticeable increase occurred from 2020 onward, with the highest number of publications recorded in 2020, 2022, and 2023 (six articles each). This trend suggests a growing research interest in the topic in recent years.

Source: developed by the authors.
According to the graph in Figure 3, surveys were the most commonly employed approach (16), indicating a preference for organized data collecting. Other approaches, such as interviews and survey combinations (3), interviews and observation combinations (2), focus group discussions (2), and individual methods such as interviews (1) and pilot experiments (1), were less popular, indicating a wide but restricted use. This suggests that survey methods were the favored way of data collection, probably due to their efficiency in acquiring huge volumes of data in the entrepreneurial ecosystem.
The review article in this study was collected from different databases that included studies conducted in different countries in the world. The study’s country coverage and its content were presented and analyzed as follows.
The graph above (Figure 4) reveals that China was the most often mentioned country (6), showing its engagement in the research. Other countries, such as Indonesia (3), Spain, South Africa, Malaysia (2), and a variety of others (1), demonstrate diverse international participation, but with varying degrees of involvement in the entrepreneurship ecosystem and its impact on graduate students’ entrepreneurial intentions. This conclusion implies that China provides a significant contribution to the field, reflecting its growing significance in academic research. There is less involvement from developing nations such as Africa, while there has been a greater unemployment rate.
According to the below graph in Figure 5, Asia was the top content, with more than 15 nations participating in the research of the entrepreneurial ecosystem and graduate students’ entrepreneurial goals. Europe also has 5 nations involved in the subject of study, followed by Africa and South America (3 each). In contrast, North America’s countries showed less involvement in the sector.
According to Table 3 in the reviewed studies, SEM analysis was the most commonly used method (34.4%), reflecting a preference for advanced statistical modeling, while multiple regression (18.8%) and basic descriptive studies (6.2% combined) were also applied to examine correlations and patterns. Less frequently used methods included partial least squares (6.3%), conceptual papers (6.3%), and logistic regression (3.1%), and a significant share (25%) either employed other approaches or did not specify their method. Overall, the findings indicate a mix of sophisticated and fundamental analytical approaches, with a clear emphasis on complex modeling techniques like SEM.
6. Variables review in the studies
As shown in Figure 6, entrepreneurship ambitions were the most commonly used variable (10), but entrepreneurial support was also frequently used, showing a major focus on how to improve students’ entrepreneurial intents. Other variables included in entrepreneurship ecosystem articles included entrepreneurial training, education, the entrepreneurial mindset, and behavioral controls.
Research by Elnadi & Gheith (2021) highlights the entrepreneurial ecosystem’s favorable influence on students’ self-efficacy and goals. Exposure to successful entrepreneurs, hands-on experiences, and Entrepreneurship Education fosters entrepreneurial intentions in students. Synergy between internal and external environments triggers student entrepreneurial activities (Astuty et al., 2022). The university entrepreneurial ecosystem and entrepreneurship education have a positive impact on students’ intention to be an entrepreneur. Entrepreneurship education has a significant impact students’ entrepreneurial intention (Gupta, 2022).
Developing a suitable university entrepreneurial ecosystem that incorporates internal and external environmental assistance, schools can stimulate student performance in entrepreneurial activities, eventually encouraging an entrepreneurship culture among students (Astuty et al., 2022). Entrepreneurship-focused coursework, funding opportunities, and mentorship can all help business students develop entrepreneurial ambitions (Cekule et al., 2023). Furthermore, addressing resource restrictions within the entrepreneurial ecosystem using signaling theory might help student entrepreneurs get finance and handle hurdles more successfully (Donaldson & Villagrasa, 2024). As Azid (2023) states, creating a strong business ecosystem is critical for increasing student entrepreneurial intentions. The study underlines the favorable influence of the entrepreneurial ecosystem on students’ self-efficacy and goals. Entrepreneurship education improves students’ intentions and behaviors. Practical learning activities, such as company proposal competitions, boost entrepreneurial inclinations. University ecosystems impact the entrepreneurial intentions of students positively (Moraes et al., 2023).
Entrepreneurship ecosystem themes
The author tries to classify the entrepreneurial ecosystem elements into four themes: entrepreneurial education, Entrepreneurial support, availability and accessibility of incubation centers and industrial linkage of university as discussed in the analysis summery of the study. This review explores the various elements of entrepreneurial ecosystems that influence students’ entrepreneurial intentions. Key components include entrepreneurial education, support programs, the presence of entrepreneurship incubators, and industrial collaboration.
Entrepreneurial education
Entrepreneurial education significantly influences students’ intentions towards entrepreneurship. Bergmann et al. (2016) found that organizational factors, such as the proportion of classmates taking entrepreneurship classes, impact students’ decisions to pursue entrepreneurial activities. Entrialgo and Iglesias (2016) and Barba-Sánchez (2017) support the notion that entrepreneurial education strengthens the relationship between subjective norms, entrepreneurial attitudes, and cognitive self-employment processes. Other studies further emphasize the positive effects of entrepreneurial education on motivation and skills, fostering job creators rather than job seekers. Additionally, researchers highlight that entrepreneurial education engenders self-efficacy, risk-taking, and proactive personality among students, ultimately shaping their entrepreneurial intentions.
Entrepreneurial support programs
Support programs are crucial in enhancing students’ entrepreneurial intentions. Liao et al. (2022) found that educational, activity, and commercialization support positively affect entrepreneurial intentions. Malebana (2014) identified a significant relationship between knowledge of entrepreneurial support and factors influencing entrepreneurial intentions. Other studies highlight the positive effects of social and university support, business information seminars, and participation in related activities on entrepreneurial intentions. Zin and Ibrahim (2020) also emphasize the role of governmental and institutional programs in fostering entrepreneurial intentions through training, marketing, networking, and financial support.
Presence and accessibility of entrepreneurship incubators
Entrepreneurship incubators play a vital role in shaping entrepreneurial intentions. Zhang et al. (2022) and Patrício and Maria de Lurdes Silva Duarte (2023) found that perceptions of an incubator’s performance positively impact desirability, self-efficacy, and ultimately entrepreneurial intentions. Arruda et al. (2023) and Martins et al. (2019) emphasize the importance of incubators in providing support and fostering a professional environment, enhancing motivation and productivity. Additionally, Iqbal et al. (2020) and Chen et al. (2014) highlight the positive influence of incubators on entrepreneurial intentions, particularly when combined with entrepreneurial knowledge.
Industrial collaboration
Industrial collaboration is essential for encouraging entrepreneurial pursuits among graduates. Hardiyanto et al. (2022) and Shamsudin et al. (2018) suggest that combining entrepreneurial internships with educational experiences bridges the gap between theoretical knowledge and practical application, enhancing entrepreneurial intentions post-graduation. Pai et al. (2016) and Matsum (2018) further support the idea that close collaboration with industry enhances entrepreneurial intentions by providing practical experiences and ensuring smooth industry-institute interactions. Jones and Wheadon (2015) highlight the benefits of entrepreneurship education through industry collaboration projects, particularly in engineering education.
The studies examined highlight the relevance of a variety of factors in encouraging students to pursue entrepreneurial goals. Entrepreneurial education, support programs, the establishment of incubators, and industrial partnerships all play important roles in closing the education-entrepreneurship gap and developing future entrepreneurs. The findings emphasize the need to take a complete strategy to develop entrepreneurial ecosystems in order to successfully foster and encourage students’ entrepreneurial desire. The data is presented in Table 1: summery of the selected study findings and available at: https://github.com/Adissu336/Building-Entrepreneurship-ecosystem-in-higher-education.git
This systematic review highlights the multifaceted nature of entrepreneurial ecosystems and their significant impact on students’ entrepreneurial intentions. Entrepreneurial education, support programs, the presence of incubators, and industrial collaboration each play a critical role in fostering entrepreneurial intentions among students. Developing a robust entrepreneurial ecosystem within universities can stimulate entrepreneurial activities, enhance self-efficacy, and cultivate an entrepreneurial culture. The findings underscore the importance of creating environments that not only provide knowledge and skills but also practical experiences and support networks essential for nurturing future entrepreneurs.
This study offers the following practical implication. First, the included studies demonstrate that entrepreneurship is one of the most important functions for the growth of the national economy. However, as information collected from the reviewed articles suggests, there are several challenges that were not addressed to foster entrepreneurial habits. Therefore, building an entrepreneurship ecosystem through quality education in higher education at scale should be the top of the national agenda for most national economies. Second, Universities also assume the responsibility of fostering entrepreneurship and actively participating in the community economy. University plays a crucial role in fostering entrepreneurial intentions among students by providing high-quality entrepreneurship education, exposure to successful entrepreneurs, hands-on experiences, workshops, funding, mentorship, and a supportive environment. However, the entrepreneurial ecosystem was not established well enough in their educational system to develop entrepreneurial intention among students. Therefore, universities should actively engage in creating a strong entrepreneurial ecosystem to see higher levels of entrepreneurial activities among students, which emphasizes creating a supportive environment that includes not just formal education but also extracurricular activities, incubators, and networking opportunities.
The researcher identified the following research gaps from 23 reviewed articles. The majority of the studies reviewed are concentrated in Asia, with fewer studies from other continents like Africa, Europe, and North America. This geographical imbalance may limit the generalizability of the findings across different regions. Therefore, future researchers may fill this gap by conducting research in the field in different regional coverage. Second, methodologically, there is a dominance of certain methodologies, such as Structural Equation Modeling (SEM), which was used in 11 research articles and multiple regression and descriptive studies. Less frequent use of other methods, like logistic regression and conceptualizing papers, indicates a potential methodological bias. Thirdly, the reviewed articles show a strong focus on certain variables like entrepreneurial intention and entrepreneurial education, while other aspects of the entrepreneurial ecosystem, such as government support, incubators, and industry linkages, are less frequently investigated. This might overlook some critical elements of the ecosystem. Finally, this study is limited to the studies included, which span from 2016 to 2023, which might not fully capture the long-term trends and developments in the entrepreneurial ecosystem and intentions. The systematic review is limited to 30 articles collected from specific databases, such as Google Scholar, Scopus, and Web of Science. Future research can address these gaps by including a broader range of databases and sources. Additionally, it is crucial to consider emerging fields and recent developments in building entrepreneurial intention to provide a more comprehensive understanding of the topic.
The PRISMA checklist and flow diagram for this systematic review are available in Figshare under the project title “PRISMA Checklist and Flow Diagram for Building an Entrepreneurship Ecosystem in Higher Education” DOI: https://doi.org/10.6084/m9.figshare.28639046.v1.
The data is held under a CC0 license.
The authors gratefully acknowledge all partners for their constructive guidance and valuable comments in all aspects of the work.
| Views | Downloads | |
|---|---|---|
| F1000Research | - | - |
|
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: consumer behaviormarketingentrepreneurshipeducation
References
1. Asmit B, Simatupang T, Rudito B, Novani S: Uncovering the building blocks of rural entrepreneurship: A comprehensive framework for mapping the components of rural entrepreneurial ecosystems. Heliyon. 2024; 10 (1). Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: entrepreneurship ecosystem; regional entrepreneurship; rural entrepreneurship
Are the rationale for, and objectives of, the Systematic Review clearly stated?
Partly
Are sufficient details of the methods and analysis provided to allow replication by others?
No
Is the statistical analysis and its interpretation appropriate?
Partly
Are the conclusions drawn adequately supported by the results presented in the review?
Partly
If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.)
Not applicable
References
1. Xanthopoulou P, Sahinidis A: Students’ Entrepreneurial Intention and Its Influencing Factors: A Systematic Literature Review. Administrative Sciences. 2024; 14 (5). Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Entrepreneurship and innovation studies, entrepreneurial intention, entrepreneurship education, university entrepreneurship ecosystems, and systematic literature review methodology.
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Entrepreneurship; Entrepreneurial Ecosystems; Innovation Management; Higher Education and Entrepreneurship; Technology and Regional Development; Small Business and Enterprise Studies; Quantitative Methods in Management Research.
Are the rationale for, and objectives of, the Systematic Review clearly stated?
Partly
Are sufficient details of the methods and analysis provided to allow replication by others?
No
Is the statistical analysis and its interpretation appropriate?
Partly
Are the conclusions drawn adequately supported by the results presented in the review?
Partly
If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.)
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Entrepreneurship Management, Higher Education Ecosystem, Strategic Management
Are the rationale for, and objectives of, the Systematic Review clearly stated?
No
Are sufficient details of the methods and analysis provided to allow replication by others?
No
Is the statistical analysis and its interpretation appropriate?
No
Are the conclusions drawn adequately supported by the results presented in the review?
Yes
If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.)
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: consumer behaviormarketingentrepreneurshipeducation
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: entrepreneurship ecosystem; regional entrepreneurship; rural entrepreneurship
Are the rationale for, and objectives of, the Systematic Review clearly stated?
Partly
Are sufficient details of the methods and analysis provided to allow replication by others?
No
Is the statistical analysis and its interpretation appropriate?
Not applicable
Are the conclusions drawn adequately supported by the results presented in the review?
Partly
If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.)
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Entrepreneurship; Entrepreneurial Ecosystems; Innovation Management; Higher Education and Entrepreneurship; Technology and Regional Development; Small Business and Enterprise Studies; Quantitative Methods in Management Research.
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Entrepreneurship, Regional Economic Development, Environmental Economics, Climate Change, Urbanization, etc
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Innovation ecosystems, entrepreneurial education, technopreneurship, SME transformation
Are the rationale for, and objectives of, the Systematic Review clearly stated?
Yes
Are sufficient details of the methods and analysis provided to allow replication by others?
Partly
Is the statistical analysis and its interpretation appropriate?
Partly
Are the conclusions drawn adequately supported by the results presented in the review?
Yes
If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.)
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Entrepreneurship, Regional Economic Development, Environmental Economics, Climate Change, Urbanization, etc
Are the rationale for, and objectives of, the Systematic Review clearly stated?
Yes
Are sufficient details of the methods and analysis provided to allow replication by others?
No
Is the statistical analysis and its interpretation appropriate?
No
Are the conclusions drawn adequately supported by the results presented in the review?
Partly
If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.)
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Innovation ecosystems, entrepreneurial education, technopreneurship, SME transformation
Are the rationale for, and objectives of, the Systematic Review clearly stated?
Partly
Are sufficient details of the methods and analysis provided to allow replication by others?
No
Is the statistical analysis and its interpretation appropriate?
Not applicable
Are the conclusions drawn adequately supported by the results presented in the review?
No
If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.)
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: entrepreneurship ecosystem; regional entrepreneurship; rural entrepreneurship
Alongside their report, reviewers assign a status to the article:
| Invited Reviewers | |||||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
|
Version 3 (revision) 20 Feb 26 |
read | read | read | read | |||
|
Version 2 (revision) 21 Nov 25 |
read | read | read | read | read | read | |
|
Version 1 21 Jul 25 |
read | read | read | ||||
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)