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To understand how narratives used by entrepreneurial support organizations (ESOs) in Detroit's growing entrepreneurial ecosystem shape transitional entrepreneurs' social reality. We offer theoretical and practical insights to elicit critical support, formulate policies and programs and guide ongoing empirical examination of transitional entrepreneurship.

We adopt a multi-case study approach, looking at two ESOs in Detroit: one focused on promoting high-growth entrepreneurship and securing financial capital for technology entrepreneurs, the other focused on promoting everyday entrepreneurship (especially among underserved communities) and amassing a more diverse array of resources. We conduct a thematic analysis of organizational texts and interview data with ESO leaders.

ESO narratives shape Detroit's transitional entrepreneurs by constructing entrepreneurs' social identity, orienting them to the ecosystem and envisioning a collective future in which transitional entrepreneurs are key.

This study offers insight into the definition of transitional entrepreneurs by extending existing conceptions by highlighting the role of institutional actors, like ESOs, and the narratives they adopt in shaping opportunities and challenges for transitional entrepreneurs. Moreover, we push the boundaries of transitional entrepreneurship, including technology start-up entrepreneurs in the definition and call attention to the role of transitional entrepreneurs in post-industrial cities by showcasing their role in community and urban development.

Entrepreneurs are increasingly relying on artificial intelligence (AI) to assist in creating and scaling new ventures. Research on entrepreneurs’ use of AI algorithms (machine learning, natural language processing, artificial neural networks) has focused on the intra-organizational implications of AI. The purpose of this paper is to explore how entrepreneurs’ adoption of AI influences their inter- and meta-organizational relationships.

To address the limited understanding of the consequences of AI for communities of entrepreneurs, this paper develops a theory to explain how AI algorithms influence the micro (entrepreneur) and macro (system) dynamics of entrepreneurial ecosystems.

The theory’s main insight is that substituting AI for entrepreneurial ecosystem interactions influences not only entrepreneurs’ pursuit of opportunities but also the coordination of their local entrepreneurial ecosystems.

The theory contributes by drawing attention to the inter-organizational implications of AI, explaining how the decision to substitute AI for human interactions is a micro-foundation of ecosystems, and motivating a research agenda at the intersection of AI and entrepreneurial ecosystems.

The purpose of this paper is to investigate challenges of building entrepreneurial ecosystems in peripheral places. The entrepreneurial ecosystem concept is developing a rising popularity among both academics and policymakers in recent years where much of the attention has been put in major urban cities. However, on the way to achieve balanced growth and equity, peripheral places should not be neglected. Thus, this paper links literature on ecosystem with peripheral region studies in creating a conceptual framework of developing entrepreneurial ecosystems in peripheral places.

The paper first reviews literature on entrepreneurial ecosystems and challenges that peripheral places facing in particular. Then, taking into consideration of literature from both fields, a conceptual framework is developed. In order to better illustrate the framework, a case study on Guildford’s digital gaming industry is reviewed based on secondary data.

Though facing various challenges such as smallness, remoteness and lack of resources, peripheral places can take advantage of the digital technology and build an entrepreneurial ecosystem of its own kind through holistic collaborative approach to tackle issues around finance, talents, socio-culture environment, infrastructure, markets and policy.

The paper is among the first to focus on developing a holistic conceptual framework in building entrepreneurial ecosystems in peripheral areas. It can lead to a range of further research topics and contribute to develop viable practices particularly for policymakers.

Entrepreneurial ecosystem is a frontier issue in the field of enterprise strategy and entrepreneurship. As suggested by bottom of the pyramid (BOP) theory, entrepreneurs from base of the pyramid can gain the benefits of economic growth by obtaining equal entrepreneurial opportunities with appropriate support and motivation. However, theoretical framework to understand the ecosystem and help the people from the BOP to benefit from ecosystem is under-researched. Based on the investigation of the Taobao ecosystem case study, this paper developed a multi-layer framework to fill in the research gap.

This research adopts case study methodology for several reasons. First, case study methodology fits the explorative nature of this research to understand “what” and “how” a phenomenon happened (Yin, 2017). Second, case study research design can specify gaps or holes in existing theory with the ultimate goal of advancing theoretical explanations (Ridder, 2016). And third, it can provide researchers with contextual richness (Davison and Martinsons, 2016; Spigel, 2017).

Based on the literature review of the entrepreneurial ecosystem and the theory of the BOP, the initial framework of the inclusive entrepreneurial ecosystem is proposed. And then, based on the investigation of the Taobao village which is the typical inclusive entrepreneurial ecosystem, this paper explored how the inclusive entrepreneurial ecosystem emerges, develops and realises the co-creation between multiple actors. The emergence of Taobao village entrepreneurial ecosystem is because of the fact that ICT empowers BOP entrepreneurs. The development of entrepreneurial ecosystem presents a point-line-plane diffusion path, and co-creation to enhance inclusive entrepreneurship is realised by interaction and cooperation within social networks and integration of resources. Then, the framework of inclusive entrepreneurial ecosystem is further modified.

The complexity of entrepreneurial ecosystem facing BOP poses a major challenge to its actual operation. Therefore, it is necessary to study the driving factors of inclusive entrepreneurial ecosystems. In particular, ecosystem is a purposeful collaborative network of dynamic interactive systems, which has a set of changing dependencies in a given context. Research is still limited on socioeconomic actors’ interaction with each other in each stage to promote the evolution of entrepreneurial ecosystem. The extent to which they are intentionally designed or organically produced is still unclear, which is recommended for future study in this field.

It provides theoretical understanding on how to successfully form sustainable entrepreneurial ecosystem by integrating BOP entrepreneurs in value chain. The successful experience of Taobao village can provide contributions and implications for the management in practice. On the one hand, this can provide theoretical guidance for other countries and regions to build inclusive entrepreneurship ecosystems and help them to check and fill the gaps and build inclusive entrepreneurship ecosystems based on their local characteristics. On the other hand, this study provides theoretical guidance for solving the problem of poverty at the BOP, transforming the poor from the objects of help to successful entrepreneurs and thus realising regional sustainable development.

The significance of this study is to provide theoretical understanding on how to successfully form entrepreneurial ecosystem by practical investigation of entrepreneurial “habitat” at the BOP.

Despite the significance, university student start-ups and student entrepreneurship ecosystems (SEEs) have been subject to little research. This study aims to apply a qualitative emergent enquiry approach to explore best practice SEEs in Australia, complimented by narratives from leading scholars in higher education institutions with the aim of delineating the integrative components of SEEs.

Adopting the entrepreneurial ecosystem framework and aligned to the social cognitive theory, this paper explores the components and dynamics of SEEs, contributing to an understanding of how such components can better support the growth, sustainability and success of student start-ups. The authors extend entrepreneurship research on social construction using narrative research.

The findings provide guidelines for researchers, entrepreneurship scholars and educators, entrepreneurship students, policymakers and practitioners to enhance the impact and success of university student start-ups by adopting a student ecosystem approach.

The narratives represent a limited number of universities with an opportunity for further research to empirically measure the impact and outcomes of SEEs. The research is exploratory, inherently conceptual and emergent, providing an opportunity for validation of narrative frameworks in future studies.

The findings may assist university managers to be more aware of their own subconscious preferences to student entrepreneurship and start-up initiatives, which may be useful in refining their impact and offerings regarding a quest toward the entrepreneurial university.

From social perspectives, the alignment of the components of SEE has the ability to enhance and shift the entrepreneurial mindset of entrepreneurship students, notwithstanding enhancement of intentionality and self-efficacy.

This is the first study of SEEs in Australia, highlighting the importance of the integration of entrepreneurship education programs, entrepreneurship education ecosystems, the entrepreneurial university and specific start-up initiatives such as university accelerators. Furthermore, students may enhance their entrepreneurial mindset by actively engaging in such ecosystems.

Research on entrepreneurial ecosystems has advanced over recent years and has become a popular topic. Despite the interest, previous work has focused on entrepreneurial ecosystems in large cities in the United States. Ecosystems in small cities, underpopulated rural areas, university towns and outside the USA have not been considered much. This paper begins to address this deficit by reviewing three groups of literature.

From the review, the paper builds a conceptual framework to consider entrepreneurial ecosystems led by universities. After summarizing the literature on entrepreneurial ecosystems, entrepreneurial universities and entrepreneurship education, the paper suggests a conceptual framework outlying the structure, components and mechanisms that enable universities to operate as catalysts in the creation of entrepreneurial ecosystems.

It is evident that on many of the “ingredients” of a successful entrepreneurial ecosystem, a resource-constrained environment would have many gaps. Building an entrepreneurship ecosystem in such contexts would be inherently challenging. The model presented suggests that the presence of a university in such locations should enhance the prospects of progress but that the nature of the university itself would impact any outcomes. Universities that make concerted efforts to be entrepreneurial and that have entrepreneurship programmes have strategies available to them that can enhance entrepreneurship ecosystems over time.

The contribution of this paper is to show “how” a university and its entrepreneurship programme can operationally address deficits in a local ecosystem and how it might bring about positive change. The paper also opens new avenues for entrepreneurship education researchers.

This study investigates the relationship between the strength of innovative entrepreneurial ecosystems and subjective well-being in 43 European smart cities. Subjective well-being is operationalized by a Quality of Life (QOL) survey that references the level of multidimensional satisfaction or happiness expressed by residents at the city level. The entrepreneurial ecosystem concept depicted here highlights actor interdependence that creates new value in a specific community by undertaking innovative entrepreneurial activities. The research uses objective and subjective variables to analyze the relationships between the entrepreneurial ecosystem and subjective well-being.

The authors conducted a cluster analysis with a nonaggregative quantitative approach based on the theory of the partially ordered set (poset); the objective was to find significant smart city level relationships between the entrepreneurial ecosystem and subjective well-being.

The strength of the entrepreneurial ecosystem is positively related to subjective well-being only in large cities. This result confirms a strong interdependency between the creation of innovative entrepreneurial activities and subjective well-being in large cities. The smart cities QOL dimensions showing higher correlations with the entrepreneurial ecosystem include urban welfare, economic well-being and environmental quality, such as information and communications technology (ICT) and mobility.

Despite the main implications being properly referred to large cities, the governments of smart cities should encourage and promote programs to improve citizens' subjective well-being and to create a conducive entrepreneurship environment.

This study is one of the few contributions focused on the relationship between the entrepreneurial smart city ecosystem and subjective well-being in the urban environment.

The purpose of the paper is to examine the role of trust and distrust in social networks within the entrepreneurial ecosystem and to develop a conceptual scheme of the impact of trust and distrust on productive and unproductive entrepreneurship.

This study develops a conceptual scheme, founded on the social capital and resource-based view of a firm, by exploring the impact of trust and distrust on entrepreneurial behavior in a social network.

As the paper indicates, trust within an entrepreneurial ecosystem has a positive impact on productive entrepreneurship, while distrust within the ecosystem is expected to be unproductive and destructive (or potentially illegal) to an economy.

The research implication of this paper is that it connects levels of trust and distrust within the ecosystem to the type of the behavior exhibited by entrepreneurs leading either to productive or unproductive entrepreneurial endeavors. As this study is based on the theoretical review resulting in a conceptual scheme, it requires further investigation of proposed interactions.

This paper offers strategic alternatives for entrepreneurs seeking to enhance future endeavors by strengthening trust within social networks for the mutual benefits of the ecosystem and businesses within it.

This study highlights the importance of two social constructs of trust and distrust in maintaining existing and developing future ecosystems. It also reviews potential outcomes of entrepreneurial behavior and their impact on economies.

This research examines both trust and distrust (two separate social constructs) as significant predictors of future outcomes in the entrepreneurial ecosystem that go beyond productive entrepreneurship.

Entrepreneurial ecosystems provide the context for start-ups to access resources. The authors investigate the reliance of start-ups on their entrepreneurial ecosystem and the driving factors behind the proportion of local actors (belonging to their entrepreneurial ecosystem) within their overall set of relationships (their business ecosystem). Recognizing the limited relational capacity of firms, the authors focus on three differentiating firm characteristics: size, age and innovation of firms.

The authors developed a sample of 163 start-ups located in the entrepreneurial ecosystem of Toulouse, France. The authors investigated the characteristics of their relationship sets using regression analysis.

The results confirm that age is inversely related to the proportion of a start-up's relationships located in its entrepreneurial ecosystem. More surprisingly, for older start-ups, the authors also highlight the presence of a moderating effect of the start-up's size on the relationship between its degree of innovation and the proportion of its relationships in its entrepreneurial ecosystem: Larger and more innovative start-ups appear to rely more on their local entrepreneurial ecosystem.

This research increases the understanding of the characteristics driving the interactions of start-ups with their entrepreneurial ecosystems by adopting a relational capacity approach. The authors introduce digital methods as an innovative approach for uncovering firms' ecosystems. Finally, from a practical point of view, the research should provide public authorities seeking to promote the link between local resources and the development of innovative start-ups in their regions with interesting insights.

The purpose of this article is to develop a model to assess entrepreneurial ecosystems. Specifically, the authors examine how to measure value creation and value capture mechanisms from a single participant's perspective and at the ecosystem level through a strategic value network-based approach.

Building on extant research on strategic networks, value networks and business models and leveraging a qualitative survey, the authors develop and test an assessment tool to measure value creation and capture within the entrepreneurial ecosystem of the San Francisco Bay Area.

The authors show that value-based measures on entrepreneurial ecosystems provide a systemic approach to assess how ecosystems operate, which can guide policymakers, entrepreneurs and all the other stakeholders of entrepreneurial ecosystems in their strategic decision-making process.

The authors provide an original model grounded in the strategic management and entrepreneurship literature for entrepreneurial ecosystems' assessment as few studies have done before. Besides, the authors provide an illustrative attempt to show how to empirically apply the original model by assessing the San Francisco Bay Area's entrepreneurial ecosystem.