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A systematic literature review of entrepreneurial ecosystems in advanced and emerging economies

  • Published: 02 March 2020
  • Volume 57 , pages 75–110, ( 2021 )

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  • Zhe Cao 1 &
  • Xianwei Shi   ORCID: orcid.org/0000-0002-5977-7880 2  

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The concept of entrepreneurial ecosystems has been gaining considerable attention during the past decade among practitioners, policymakers, and researchers. However, to date, entrepreneurial ecosystem research has been largely atheoretical and static, and it focused mostly on advanced economies. In this paper, we therefore do two things. We first systematically review entrepreneurial ecosystem literature and propose a conceptual model that explicates three entrepreneurial ecosystem dynamics based on resource , interaction , and governance logics, respectively. We then systematically review empirical studies of emerging economy entrepreneurial ecosystems to build a theoretical framework that highlights their salient features. We reveal three key findings that challenge the direct application of the model vis-à-vis advanced economy entrepreneurial ecosystems to emerging economy entrepreneurial ecosystems: resource scarcities , structural gaps , and institutional voids . Our findings contribute to entrepreneurial ecosystem literature in terms of ecosystem dynamics and contextualizing entrepreneurial ecosystems in emerging economies. We also provide policy implications for emerging countries in fostering new venture creation.

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a systematic literature review of entrepreneurial ecosystems in advanced and emerging economies

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Looking inside the spiky bits: a critical review and conceptualisation of entrepreneurial ecosystems.

Ross Brown & Colin Mason

a systematic literature review of entrepreneurial ecosystems in advanced and emerging economies

Introduction: Entrepreneurial Ecosystems

a systematic literature review of entrepreneurial ecosystems in advanced and emerging economies

Ecosystems Perspective on Entrepreneurship

https://www.investopedia.com/terms/e/emergingmarketeconomy.asp

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Business School, Imperial College, London, SW7 2AZ, UK

Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, 200030, China

Xianwei Shi

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Appendix 1. Review procedures for search, selection, and exclusion

The systematic review of entrepreneurial ecosystems

Criteria for inclusion for review

Studies providing theoretical contributions

Both theoretical and empirical studies

Focus on entrepreneurial ecosystems

All years (1970–2018)

Search method and scope (949)

A full search of articles within database Web of Science ISI Social Sciences Index

Focus on title and abstract

Search strings ( n  = 589)

TS=((entrep* OR start-up* OR startup*) AND (ecosystem* OR eco-system*))

Expanded search to guarantee exhaustiveness ( n  = 360):

Google scholars first 30 pages (272)

ProQuest (9)

Snowball (54)

Other sources include hand searching, personal contacts, working papers and other gray literature (25)

Exclusion criteria by theoretical relevance (881)

Not related to management, business or economics ( n  = 165)

Foreign language articles ( n  = 50)

Nonpapers, including reports, speeches, call for papers, magazines, and blogs (64)

Screen title and abstract to exclude studies in which the primary focus is not on entrepreneurial ecosystems ( n  = 602)

Single-use, multiple without elaboration, and grammatical coincidence

Unrelated discipline such as environmental studies

Duplicated studies

Pure empirical and descriptive studies that provide little theoretical contribution

Studies focused on corporate-level open innovation

Studies focused on nongeographical ecosystem concepts such as business ecosystems

Studies focused on new firm location choice

Studies focused on the relationship between entrepreneurship and economic growth

Studies focused on only one or two components of entrepreneurial ecosystems, rather than the ecosystem as a whole

Exclude papers from the same authors that present similar arguments or theories. Keep the representative papers with high citations

For gray literature, check the quality by referring to the quality assessment guidance from Adams et al. ( 2017 ) and only include articles that are fit-for-purpose, provide contributions and are evaluated by field experts

Results unavailable electronically or by other reasonable means

This review resulted in 68 key papers on entrepreneurial ecosystems.

The systematic review of empirical studies on E4s

Empirical articles including both quantitative and qualitative studies

All sectors

Search method and scope (36,896)

Search strings ( n  = 36,886)

TS=((("entrepreneur*”) OR (“new venture*”) OR (“new firm*”) OR (new enterprise*) OR (“startup”) OR (“start-up”) OR (SME*) OR (“small firm*”) OR (“small and medium-sized enterprise*”) OR (“micro and small business*”) OR (“firm formation”) OR (“scale-up”) OR (“scaleup”) OR (stand-up) OR (“business model*”) OR (“scalable business model”) OR (“experimentation”) OR (“lean method”) OR (“lean startup”) OR (“disruption orient*”) OR (“growth oriented”) OR (“entrepreneurial firm*”) OR (“nascent entrepreneur*”) OR (unicorn) OR (digital entrepreneur*”) OR (“digital startup*”))

AND ((“emerging econom*”) OR (“emerging-market”) OR (“emerging countr*”) OR Brazil OR Chile OR China OR Colombia OR Hungary OR Indonesia OR India OR Malaysia OR Mexico OR Peru OR Philippines OR Russia OR (“South Africa”) OR Thailand OR Turkey)

AND ((institution*) OR (“institution* void*”) OR (cultur*) OR (normative) OR (regulatory) OR (resource*) OR (“institution* gap*”) OR (“institution* failure”) OR (“market failure*”) OR (“intermedia*”) OR (sponsor*) OR (“external factor*”) OR (barrier*) OR (constraint*) OR (“founding environment*”) OR (“resource* gap*”) OR (“resource* scarcit*”) OR (“resource* munificen*”) OR (accelerator*) OR (incubator*) OR (“coworking space*”) OR (“financ*”) OR (“venture capital*”) OR (“angel investor*”) OR (crowdfunding*) OR (“human capital”) OR (“science park*”) OR (“entrepreneur* ecosystem*”) OR (“startup ecosystem”) OR (“start-up ecosystem”) OR (“family business*”) OR (“family-owned business*”) OR (“business group*”) OR (“returnee entrepreneur*”) OR (“transnational entrepreneur*”) OR (“entrepreneur* education”)) OR (“mentor*”) OR (“knowledge spill-over*”))

Expanded search to guarantee exhaustiveness ( n  = 10):

Expand to gray literature that focuses on E4s (Google Scholar first 30 pages and ProQuest)

Employ the snowballing technique by browsing through references of potentially relevant articles

A focused search of selected key journals to ensure that articles of relevance not using specified keywords are included

JBV, ETP, SMJ (top entrepreneurship journal)

AMJ, ASQ, and OS (top management journal)

SEJ (entrepreneurship journal related special issues not available on Web of Science database)

Known special focused journals including Research Policy and Small Business Economics

Exclusion criteria by theoretical relevance (36,877)

Reviews, editorials, book reviews, meeting abstracts, news items, discussion, retraction, software review, commentaries, biographical item, speeches, call for papers, magazines, blogs correction, letter, and note ( n  = 13,360)

Foreign language articles ( n  = 1119)

Not related to management, business, or economics ( n  = 19,563)

Screen title and abstract to exclude studies in which the primary focus is not on emerging economy entrepreneurial ecosystems ( n  = 2833)

Conceptual papers

Studies in countries that are not in the list of emerging economies

Noncontextual factors such as individual traits, capabilities, self-efficacy, prior knowledge, and sense-making

Studies focused on large corporations rather than SMEs and entrepreneurship, e.g., corporate entrepreneurship and intrapreneurship

Studies focused on the role of entrepreneurship in economic development and global networks

Studies focused on innovation rather than entrepreneurship

Studies focused on new firm strategies such as marketing, risk management, and talent management strategies

Studies focused on new construct and measurement development or validations

Studies focused on firm-level capabilities, e.g., entrepreneurial orientation and absorptive capacity

This review resulted in 19 key empirical studies on E4s.

Appendix 2. Entrepreneurial ecosystems dynamics

figure 3

Conceptual model of entrepreneurial ecosystems dynamics

Appendix 3. Entrepreneurial ecosystems in emerging economies

figure 4

Conceptual model of entrepreneurial ecosystems dynamics in emerging economies

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Cao, Z., Shi, X. A systematic literature review of entrepreneurial ecosystems in advanced and emerging economies. Small Bus Econ 57 , 75–110 (2021). https://doi.org/10.1007/s11187-020-00326-y

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Issue Date : June 2021

DOI : https://doi.org/10.1007/s11187-020-00326-y

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The concept of entrepreneurial ecosystems has been gaining considerable attention during the past decade among practitioners, policymakers, and researchers. However, to date, entrepreneurial ecosystem research has been largely atheoretical and static, and it focused mostly on advanced economies. In this paper, we therefore do two things. We first systematically review entrepreneurial ecosystem literature and propose a conceptual model that explicates three entrepreneurial ecosystem dynamics based on resource, interaction, and governance logics, respectively. We then systematically review empirical studies of emerging economy entrepreneurial ecosystems to build a theoretical framework that highlights their salient features. We reveal three key findings that challenge the direct application of the model vis-à-vis advanced economy entrepreneurial ecosystems to emerging economy entrepreneurial ecosystems: resource scarcities, structural gaps, and institutional voids. Our findings contribute to entrepreneurial ecosystem literature in terms of ecosystem dynamics and contextualizing entrepreneurial ecosystems in emerging economies. We also provide policy implications for emerging countries in fostering new venture creation.

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The concept of entrepreneurial ecosystems has been gaining considerable attention during the past decade among practitioners, policymakers, and researchers. However, to date, entrepreneurial ecosystem research has been largely atheoretical and static, and it focused mostly on advanced economies. In this paper, we therefore do two things. We first systematically review entrepreneurial ecosystem literature and propose a conceptual model that explicates three entrepreneurial ecosystem dynamics based on resource, interaction, and governance logics, respectively. We then systematically review empirical studies of emerging economy entrepreneurial ecosystems to build a theoretical framework that highlights their salient features. We reveal three key findings that challenge the direct application of the model vis-à-vis advanced economy entrepreneurial ecosystems to emerging economy entrepreneurial ecosystems: resource scarcities, structural gaps, and institutional voids. Our findings contribute to entrepreneurial ecosystem literature in terms of ecosystem dynamics and contextualizing entrepreneurial ecosystems in emerging economies. We also provide policy implications for emerging countries in fostering new venture creation.

Small Business Economics – Springer Journals

Published: Mar 2, 2020

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  • Published: 30 March 2024

Entrepreneurial education and its role in fostering sustainable communities

  • M. Suguna 1 ,
  • Aswathy Sreenivasan 2 ,
  • Logesh Ravi 3 , 4 ,
  • Malathi Devarajan 1 ,
  • M. Suresh 2 ,
  • Abdulaziz S. Almazyad 5 ,
  • Guojiang Xiong 6 ,
  • Irfan Ali 7 &
  • Ali Wagdy Mohamed 8  

Scientific Reports volume  14 , Article number:  7588 ( 2024 ) Cite this article

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  • Socioeconomic scenarios
  • Sustainability

Establishing sustainable communities requires bridging the gap between academic knowledge and societal requirements; this is where entrepreneurial education comes in. The first phase involved a comprehensive review of the literature and extensive consultation with experts to identify and shortlist the components of entrepreneurship education that support sustainable communities. The second phase involved Total Interpretative Structural Modelling to explore or ascertain how the elements interacted between sustainable communities and entrepreneurial education. The factors are ranked and categorized using the Matrice d'impacts croises multiplication appliquee an un classement (MICMAC) approach. The MICMAC analysis classifies partnerships and incubators as critical drivers, identifying Student Entrepreneurship Clubs and Sustainability Research Centers as dependent elements. The study emphasizes alumni networks and curriculum designs as key motivators. The results highlight the critical role that well-designed entrepreneurial education plays in developing socially conscious entrepreneurs, strengthening communities, and generating long-term job prospects. The study provides a valuable road map for stakeholders dedicated to long-term community development agendas by informing the creation of strategic initiatives, curriculum updates, and policies incorporating entrepreneurial education.

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Introduction

Sustainability represents a fresh way of reframing the interaction between people and the natural world, making it more than merely a research topic. It emphasizes how inadequate environmental protection is on its own. Instead, pursuing sustainability necessitates looking beyond self-interest and addressing social and economic aspects 1 , 2 . Thinking ahead means ensuring the next generation has at least as many opportunities as the current one 3 . The next generation's new models for balancing ecosystems—which combine socioeconomic development and environmental protection—may be sparked by sustainable education and trust 4 . Sustainable development is critical to our shared future, and entrepreneurship is acknowledged as a powerful driver of this sustainable economic growth 5 , 6 . In order to thrive without sacrificing future demands, modern businesses are aggressively implementing sustainability concepts 7 . Entrepreneurial skills are needed to address sustainability's social, economic, and environmental aspects and overcome challenges in today's rapidly evolving global world. The significance of entrepreneurial education in preparing people for sustainability-focused projects is shown by the emphasis on the entrepreneurial spirit in the shift to sustainable communities 8 . Smart cities (SC) should implement specific measures to prevent isolation in academic institutions, thereby fostering the formation of community clusters. Furthermore, since encouraging immigrant entrepreneurship can boost the local economy, SC should lessen the difficulties associated with starting a firm and providing mentorship and training to entrepreneurs involved in administration and regulation 9 .

Recent research underscores the significance of integrating sustainability into entrepreneurial education. Kotla and Bosman 10 argue for a multifaceted strategy to bridge the gap between integrating sustainability and entrepreneurship in higher education. The difficulties arise from the necessity of fusing the long-term, systemic perspective required by sustainability with the dynamic, frequently unpredictable character of entrepreneurship. In light of the numerous and intricate difficulties we face today, Klapper and Fayolle 11 suggest redefining entrepreneurial education to effectively address sustainability, social justice and hope. In order to assist with the purpose of sustainability, Fanea-Ivanovici and Baber 12 look into how colleges may help Indian students who aspire to be future entrepreneurs by promoting sustainability and sustainable development goals.

As a multifaceted approach, entrepreneurial education fosters creativity, adaptability, and a profound understanding of socioeconomic dynamics 13 . It explores the profound effects of an entrepreneurial mindset on social structures, environmental preservation, and long-term economic sustainability in society, going beyond traditional business acumen. This study's main objective is to investigate the variables that influence how entrepreneurship education contributes to the development of sustainable communities.

Although there is a growing corpus of research examining the distinct effects of sustainable community development and entrepreneurial education 6 , 14 , 15 , a thorough grasp of the complex interactions between these two fields is noticeably lacking. This research gap highlights the need for a study that uses a systematic modeling method to reveal the complex linkages between sustainable community development and entrepreneurial education and explore the individual contributions of these two phenomena. By providing a novel on the practical ways in which entrepreneurial education may support sustainable community development, this study aims to close this gap. Based on the latest developments in sustainability research and entrepreneurship education, our method uses Total Interpretive Structural Modeling (TISM) to methodically examine the intricate connections between these fields. Our research attempts to provide detailed knowledge of how entrepreneurial education might encourage sustainable community development in various socioeconomic circumstances by identifying essential components and their interdependencies. The novelty of our study resides in its theoretical framework and methodological approach, which combine ideas from the most recent literature with empirical analysis to provide practitioners, policymakers, and educators with helpful information. We contribute to the theoretical debate on sustainable entrepreneurial education by synthesizing and expanding on existing research and providing helpful advice for creating successful educational initiatives and policy interventions.

TISM, particularly influential within the context of startups, is employed in this study to answer the following research questions: “What are the factors influencing the role of entrepreneurship education in fostering sustainable communities? How do they influence one another and entrepreneurship education in fostering sustainable communities? Which factors drive others, and which factors depend on others? Can the priority of each of these factors be measured?”

Our study takes a two-pronged approach, starting with a thorough qualitative analysis to pinpoint the variables influencing the contribution of entrepreneurship education to sustainable community development. To provide a balanced view, we also consulted a review of the literature and expert comments. After that, we move into a quantitative phase where we use TISM to methodically investigate the interactions between these components, revealing their hierarchical structure and effects on the entrepreneurial education ecosystem. This mixed-methods approach guarantees a comprehensive analysis by combining quantitative clarity with qualitative depth to shed light on the intricate dynamics involved in utilizing entrepreneurship education for sustainable community development.

Table  1 presents the identified factors influencing the role of entrepreneurship education in fostering sustainable communities:

This paper is structured as follows: The research approach is discussed in the subsequent section, presenting findings and discussions. Subsequently, the paper depicts managerial/practical, theoretical, and societal contributions while finally including the conclusion, limitations, and future study areas.

Research methodology

In order to assess the influence of the identified enablers, this study uses a closed-ended questionnaire with pairwise comparisons 26 . Semi-structured interviews provide detailed insights because they are exploratory in character 27 . Data analysis techniques include TISM and MICMAC analyses. The study use snowball sampling to identify participants aware of the importance of entrepreneurship education in sustainable communities. Prioritizing convenience over ethical considerations led to conducting one-hour company interviews over a month. Twenty-seven Indian entrepreneurs from various industries and areas participated in the study. Participants had various experiences and viewpoints because they were involved in different business endeavors. Convenience played a role in participant selection, but ethical considerations came first. The study proactively ensured adherence to the highest ethical standards by implementing necessary measures. It sought informed consent to prioritize participants' autonomy by outlining the study's goals and ensuring voluntary participation. Strict protocols protected confidentiality and privacy; personally identifying information was securely managed, available only to the research team, and never revealed in published data or conclusions. These ethical protections highlight the dedication to participant welfare and scientific integrity throughout the study. The closed-ended survey consists of broad and specific questions that are scored on a five-point Likert scale to determine how different elements affect the development of sustainable communities. A TISM and MICMAC are employed to identify the prominent, influential relations amongst entrepreneurship education's contribution to sustainable communities.

Data analysis method

Figure  1 shows the steps in the research approach sequence. The conventional ISM approach, which creates a contextual relationship-based performance framework, is expanded upon by TISM 28 . The detected components and their associated order structure are displayed in the structural model created using the TISM methodology by their reciprocal influencing relationships 29 . The TISM technique facilitates the modeling of interrelationships between variables in a digraph form. An arrow represents the flow and hierarchical order of the relationships between the elements. The connecting arrow denotes the contextual connections between any two elements, and the levels at which the significant aspects are ultimately organized in the diagram define the influencing factors. TISM builds the model by considering just the most useful transitive relationships and leverages expert input to confirm the trustworthy source of transitivity, if any. In line with the approaches taken by other researchers, this study models entrepreneurship education variables and their function in creating sustainable communities using TISM 30 (Jayalaksmi & Pramod, 2015). TISM modeling commences with the critical task of identifying and defining the components for analysis.

figure 1

Flow of TISM approach for entrepreneurship education and its role in fostering sustainable communities.

The study determines the critical components of entrepreneurship education contribution to sustainable communities through a survey of the literature and expert discussions. During our literature evaluation, we carefully examined every peer-reviewed article released in the past. This comprehensive research aimed to gather various viewpoints regarding the effects, modes of operation, and results of entrepreneurship education about sustainable community development. We held expert discussions after the literature review to deepen our comprehension of the crucial elements found. We investigated their perspectives on successful teaching strategies, obstacles encountered when including sustainability in entrepreneurship education, and possible long-term effects on communities through semi-structured interviews. Through these discussions, we could confirm our conclusions from the literature review and pinpoint any new themes or neglected regions. By integrating findings from expert talks and the literature review, we developed a comprehensive and evidence-based framework that outlines the essential elements of entrepreneurship education that support sustainable communities. Table  1 displays ten components and pertinent references chosen from a list of twenty-one. After identifying factors, the next step is to ascertain the contextual connections among these elements. Subject matter experts offer perspectives that shed light on these linkages. These connections within the framework suggest that “factor A influences or improves factor B.” Based on experts' judgments, a “pairwise interaction matrix” is created to show the interactions between the elements.

TISM goes above and beyond Interpretive Structural Modelling (ISM) by elucidating these linkages' mechanisms. A high influence is denoted by a 1 in the Initial Reachability Matrix (IRM) (Table  2 ), whereas a low influence is indicated by a 0. The Final Reachability Matrix (FRM) was created by appending the “transitivity rule” to the IRM (Table  3 ). Following transitivity testing, the transitive elements—represented by the number “0” in the IRM—are replaced with “1*” in the FRM. Organizing components level by level is the next stage. With other influencing factors, variables comprise the “antecedent set,” each factor's “reachability set” consists of further elements it might affect. For every aspect, the “intersection set” is found. The element-sharing entities with the “intersection set” and the “reachability set” are advanced to the top level in each iteration. The study repeats this process until all element levels are determined. The “interaction matrix design” is shown in Table  4 .

A directed graph (digraph) is produced by visually organizing the elements based on their levels and connecting them through the linkages found in the FRM. The digraph includes all “transitive links” and provides insightful explanations. Every relationship in TISM is defined and explained logically. Developing interpretive assertions about the digraph's links is part of this process. The study then utilizes the data to construct the TISM model (Fig.  2 ) by replacing the factors with the digraph nodes.

figure 2

TISM model for factors influencing entrepreneurial education.

Ethical considerations

The Amrita Vishwa Vidyapeetham (AVV) institutional review board approved the study, and we obtained a formal letter of permission from Amrita Vishwa Vidyapeetham, the school of business, with registration number ERB-ASB-2023-020. There is no potential risk that may cause any harm to respondents. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.

Ethical approval and consent to participate

The study received ethical approval from the AVV Ethical Review Committee and written informed consent from each participant. The study ensured that all methods complied with relevant guidelines and regulations.

Interpretation of TISM digraph

Figure  2 visually depicts the TISM analysis of factors influencing entrepreneurial education and its role in promoting sustainable communities, while Table  5 provides an interpretation of the findings.

MICMAC analysis

Compared to previous multi-attribute techniques, TISM has several advantages, but it still cannot analyze the strength and relationship between the components. MICMAC addresses this TISM problem by categorizing the relationships between the components to make the concept of driving and dependency power more understandable. It also distinguishes between strong and weak elements since their interactions are not consistently balanced and can alter in response to environmental demands 43 . The MICMAC framework identifies four main zones as elements associated with entrepreneurial education: autonomous factors, dependent factors, linkage factors, and driving (independent) factors. The following are each zone’s characteristics:

Autonomous factors (Zone 1): These are known as autonomous enablers with weak reliance and

Driving power 44 . Notably, this study’s components do not fall under this autonomous zone.

Dependence factors (Zone 2): We classify these variables as dependence factors because other variables strongly depend on them but have a lower driving force 45 .

Linkage factors (Zone 3): Linkage factors are those that exhibit both firm reliance and strong driving power and driving or independent factors: These are what are known as driving or independent factors since they have a significant driving force in curriculum design and relevance, and community outreach initiatives are among the motivating elements found in this study.

Driving factors (Zone 4): These variables are referred to as driving factors since they strongly drive the other variables but have a lower dependence 45 . Table  6 presents the ranking of the elements impacting entrepreneurial education based on the MICMAC analysis.

To illustrate the MICMAC analysis, Fig.  3 presents the corresponding graph. Based on its driving force and dependence, Table  5 ranks the variables impacting entrepreneurial education and its function in developing sustainable communities. The rankings place globalization and exchange programs (F7) and alumni networks (F3) at the top. The MICMAC analysis ranks entrepreneurship as job producers (F5) at the fifth position. It indicates a greater reliance on external factors.

figure 3

MICMAC graph.

Discussion and implications

The complex web of interconnected components that make up entrepreneurial education emphasizes the need for a comprehensive approach to promote long-term community development. This conversation explores the consequences of our research and compares it with existing literature to highlight how vital entrepreneurial education is in promoting sustainable behaviors in various contexts.

Our research points to sustainable education as a crucial component, consistent with the body of literature highlighting the transformational potential of education in fostering sustainable practices and beliefs 46 . In line with UNESCO's emphasis on Education for Sustainable Development, entrepreneurial education incorporating sustainability into the curriculum generates socially and environmentally conscious entrepreneurs and sparks creative solutions to urgent global issues 47 .

Our research demonstrates how entrepreneurial education can foster inclusive and resilient economic growth, and the study highlights workable solutions for achieving the Sustainable Development Goals through entrepreneurship. These solutions include encouraging urban entrepreneurship and supporting incubators and accelerators, which are approaches backed by research on the vital role of entrepreneurship in sustainability. Our study proposes a balanced strategy integrating social equality, economic viability, and environmental stewardship into the entrepreneurial education ecosystem while adopting a pragmatic sustainability perspective. This concept is consistent with the triple bottom line approach—which takes sustainability to include social, environmental, and economic aspects—discussed in the literature 48 . Focusing on a practical approach emphasizes how important it is for entrepreneurial education programs to equip students with the skills they need to traverse and balance various dimensions successfully.

Our study's findings, which highlight the interdisciplinarity in successful entrepreneurial education programs, emphasize how critical it is to transcend conventional academic boundaries to handle challenging sustainability issues. Literature emphasizing the importance of interdisciplinary approaches in generating innovation and problem-solving abilities required for sustainable development supports this finding 49 .

Our research actively highlights the importance of stakeholder engagement in strengthening the ecosystem of entrepreneurial education for sustainability. It is consistent with research showing that partnerships, local expertise, and a better understanding of community needs are all made possible through stakeholder participation, strengthening educational efforts' resilience and sustainability.

This study, which enriches theories by analyzing the effect of entrepreneurship education on sustainable community development, uses TISM as a methodological framework. The results highlight how entrepreneurial education can support socially conscious behavior and support comprehensive strategies for long-term community sustainability.

By emphasizing sustainability, entrepreneurial education helps underprivileged populations become more powerful, which lowers inequality and promotes inclusive economic growth. This socially responsible strategy fosters the development of a new generation of company leaders, encouraging moral behavior and long-term job creation. It improves civic engagement, community resilience, and environmental stewardship. Promoting sustainable habits in society and stimulating innovation are two benefits of entrepreneurial education that may extend to public health. In conclusion, including sustainability in education has long-term advantages that range from enhanced quality of life to social cohesion and economic development.

With its practical implications, this study substantially improves community sustainability via entrepreneurial education. Specific implications and additions to the sustainability of communities are:

Program designers and instructors should take a comprehensive approach to creating and executing entrepreneurial education initiatives. Understanding how these elements are related to one another is essential for a thorough and successful educational plan.

Educational institutions and support networks must prioritize adaptability and ongoing observation. Ensuring the robustness of dependent factors through responsiveness to environmental changes sustains the efficacy of entrepreneurial education programs.

These linkage elements (i.e., initiatives promoting urban entrepreneurship, alliances with nearby companies, incubators, and accelerators) should be actively supported and funded by policymakers and local government units. Acknowledging their critical role in establishing strong connections inside the system creates an atmosphere favorable for long-term entrepreneurial endeavors.

Educators and policymakers should prioritize the driving factors when creating and executing programs for entrepreneurial education.

Highlighting these elements strengthens the overall effectiveness and success of community-focused entrepreneurship projects

General contributions to the sustainability of the community are:

Policymakers, educators, and support groups can use the study's findings to build entrepreneurial education programs tailored to sustainable community development.

The recommendations include redesigning courses, judiciously assigning resources, and offering educators specialized training. These actions enhance the effectiveness and long-term success of entrepreneurship education programs.

Local government agencies and development organizations should collaborate by aligning their initiatives with educational objectives. For businesses and entrepreneurs, ongoing evaluations offer insightful information that promotes long-term success.

Including sustainability as a critical education component empowers marginalized groups, lowers inequality, encourages inclusive economic growth, and develops socially conscious behavior.

The socially responsible approach fosters a new generation of socially conscious leaders enabled through entrepreneurial education. It also increases civic involvement, community resilience, and environmental stewardship.

Investigating the complex interactions between entrepreneurship education and its influence on developing sustainable communities is crucial, as demonstrated using TISM and MICMAC analysis. The understanding of entrepreneurship education as a complex ecosystem with interdependent parts that work together to achieve sustainability is the fundamental tenet of our research. The meticulous mapping of these elements has shed light on the ecosystem's dynamism and complexity, exposing a web of interrelationships that support the idea that entrepreneurship education can support the establishment of sustainable communities.

Through TISM and MICMAC analysis, this study explores the function of entrepreneurship education in promoting sustainable communities. Using this method, we could map the roles and relationships of 10 critical components of the entrepreneurship education ecosystem. It improved the comprehension of how these components work together to affect sustainability. According to our analysis, every element in the entrepreneurship education ecosystem actively works to create sustainable communities; not a single element operates independently. It demonstrates the intricate nature of the ecosystem, in which each element—including dependent elements like student entrepreneurial groups and sustainability research centers—plays a vital role. These dependent components highlight the interconnectedness of the ecosystem and the need for supportive interactions to meet sustainability goals. Their distinction lies in their low driving strength and high dependence on influence from more dominant forces. Our findings reveal a startling fact: the entrepreneurial education ecosystem is incredibly intertwined. Each component is essential to the general health and effectiveness of the ecosystem, meaning that this interconnection is not just structural but also functional. Identifying interdependent components, such as sustainability research centers and student entrepreneurial clubs, highlights the delicate balance of the ecosystem, where the vitality of its constituent parts influences the resilience and flexibility of the whole.

The study emphasizes the significance of driving forces and linking factors as crucial components that create connections and advance the ecosystem. Establishing connections with nearby businesses, initiatives promoting urban entrepreneurship, and the thoughtful planning of the curriculum are essential for connecting the many components of the ecosystem and focusing their combined efforts on achieving lasting results. The results above highlight the need for a systematic and comprehensive strategy to improve the ecosystem of entrepreneurship education, stressing the vital functions of stakeholder collaboration, curricular relevance, and community involvement.

Linkage variables show a substantial dependence on other factors and significantly influence them. Examples of these are relationships with local firms and urban entrepreneurship efforts. These constituents are crucial in connecting disparate elements of the entrepreneurship education framework, guaranteeing a unified and cooperative endeavor to cultivate sustainable communities.

Through integrating TISM to examine variables affecting sustainable community development, this study promotes ideas related to entrepreneurship education. Theoretical ramifications include developing comprehensive frameworks for sustainability and improving social entrepreneurship ideas. Practical applications guide governments, entrepreneurship organizations, educational institutions, and community leaders. Opportunities for inclusive employment, socially responsible company practices, and community empowerment are among the societal effects. However, the dynamic nature of entrepreneurial ecosystems and findings particular to a given setting are limits. The paper provides complementary strategies for future research and advises caution when extrapolating results. The study offers a comprehensive grasp of the variables in entrepreneurial education. However, it also calls for more investigation into contextual variations, longitudinal impacts, the effectiveness of interventions, and regional/cultural influences. Overall, it emphasizes how entrepreneurship education can be revolutionary when it aligns with environmental goals and helps create sustainable communities and resilient economies.

Although our study offers insightful information about the connection between sustainable community development and entrepreneurship education, it is important to recognize several limitations that could impact how our findings are interpreted and applied more broadly. Due to the specific environment of this study, its conclusions might only apply to some situations or demographics. Cultural variations, economic conditions, and educational systems contribute to distinct effects on the dynamics of entrepreneurship education and its impact on community sustainability across different contexts. New ideas, regulations, and methods are constantly emerging in sustainable community development and entrepreneurial education. Although our analysis offers a quick overview of the situation, it might not account for long-term patterns or upcoming advancements in the sector. Given these limitations, it is essential to interpret the results with caution and to remember that further research is needed to examine these correlations in greater detail using a variety of approaches, contexts, and sample sizes. Our intention in disclosing these limitations is to foster openness and stimulate thoughtful consideration of the extent and consequences of our research.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The research is funded by the Researchers Supporting Program at King Saud University. The authors present their appreciation to King Saud University for funding the publication of this research through the Researchers Supporting Program (RSPD2024R809), King Saud University, Riyadh, Saudi Arabia.

The research is funded by the Researchers Supporting Program at King Saud University (RSPD2024R809).

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School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, 600127, India

M. Suguna & Malathi Devarajan

Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India

Aswathy Sreenivasan & M. Suresh

Centre for Advanced Data Science, Vellore Institute of Technology, Chennai, 600127, India

Logesh Ravi

School of Electronics Engineering, Vellore Institute of Technology, Chennai, 600127, India

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Abdulaziz S. Almazyad

Guizhou Key Laboratory of Intelligent Technology in Power System, College of Electrical Engineering, Guizhou University, Guiyang, 550025, China

Guojiang Xiong

Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, 202002, India

Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, 12613, Egypt

Ali Wagdy Mohamed

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Conceptualization—S.M., A.S., Su.M.; Methodology—L.R., M.D., Su.M., I.A., A.W.M.; Software—M.D., A.S.M., G.X., I.A.; Validation—S.M., A.S.M., G.X., I.A.; Formal Analysis—L.R., M.D., Su.M.; Investigation—S.M., A.S., L.R., Su.M.; Resources—A.S.M., G.X., I.A.; Data Curation—M.D., A.S., Su.M.; Writing – Original Draft—S.M., A.S., Su.M.; Writing – Review & Editing—L.R., M.D., A.S.M., G.X., I.A., A.W.M.; Visualization—S.M., A.S.M., G.X., I.A.; Supervision—L.R., Su.M., A.W.M.; Project Administration—L.R., M.D., A.W.M.; Funding Acquisition—A.S.M., A.W.M.; All authors reviewed the manuscript.

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Correspondence to Ali Wagdy Mohamed .

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Suguna, M., Sreenivasan, A., Ravi, L. et al. Entrepreneurial education and its role in fostering sustainable communities. Sci Rep 14 , 7588 (2024). https://doi.org/10.1038/s41598-024-57470-8

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