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This study has conducted exploratory research to understand who should comprise the members of a resilient supply chain for promoting an entrepreneurial ecosystem of a startup project and to determine the mechanisms for the balanced coexistence of all stakeholders. This is necessary to ensure mutual benefits for all stakeholders, each of whom has multidimensional interests. Additionally, this supply chain must be able to withstand any potential disruption risks.

This research has employed a mixed-design approach. In this context, the study conducted an extensive qualitative and quantitative investigation, including 30 interviews and a survey involving 180 potential stakeholders in this supply network, respectively in the capital city of Bangladesh, Dhaka. The analysis of the interviews utilized principles of matrix thinking, while structural equation modeling (SEM) through LISREL was employed to understand cause-and-effect relationships.

Network, platform and governance—these three independent constructs have the potential to contribute to the dependent construct, a resilient supply chain, aimed at promoting an entrepreneurial ecosystem for startup projects. It has been revealed that the management of such projects depends on the rules and regulations within the ecosystem. An excellent governance mechanism is essential for this purpose. To facilitate coexistence, the establishment of a platform is crucial, where cooperation among all members is mandatory.

For practitioners, three distinctive but closely interdependent issues are explored and resolved in this philanthropic study. It has unfolded the elements of any startup project with essential settings.

The identification of the structural dynamics of potential stakeholders within the entrepreneurial ecosystem of startups is largely absent in existing literature. Therefore, there is a need to comprehensively investigate the entire network, including their roles, responsibilities and associations. This study makes a significant and novel contribution to the existing literature. Academics and practitioners alike have ample opportunities to learn from this new aspect of relationships across three distinct areas: the entrepreneurial ecosystem, startup projects and the development of a resilient supply chain.

Startup ecosystems and traditional economic development models have historically excluded non-traditional, alternative, and diverse entrepreneurs. These ecosystems often ignore the authentic groups of entrepreneurs and businesses that make a community unique and instead try to encourage only high-impact, high-growth tech startups. By only focusing on this narrower scope of a defined startup ecosystem versus an entrepreneurial ecosystem, smaller cities (and alternative marketplaces) face extreme challenges and miss opportunities for enhanced economic development. This chapter includes a case study of Tucson’s entrepreneurial ecosystem and the evolution of the entrepreneurial support organization Startup Tucson from one focused only on startups to a now industry-agnostic driver of inclusive ecosystem building. An account of this transition is provided for review, including the community-based feedback process used by the organization to redefine its goals. By adopting a broader definition of entrepreneurship and supporting entrepreneurs truly rooted in Tucson’s strengths, Startup Tucson has seen more diverse businesses (and ventures of all types) and founders opting-in to the ecosystem, thereby increasing the Tucson’s economic development. This case study will provide those interested in ecosystem development with ideas on how to implement ecosystems within alternative markets.

The purpose of this study set out to introduce an alternative framework for explaining the formation of the innovation ecosystem based on the systematic literature review (SLR) and ecosystemic approach.

This paper is an SLR of studies from the year 2008-2018 that investigating startups’ innovation. SLR approach being used exploration, interpretation and communication method, which composed of seven steps as follows exploring topics, searching, organizing, evaluating and expanding, integrating and communicating. The output of this process is 63 documents that applied to synthesize the formation framework.

The systematic review of literature has shown that researchers in recent years have considered some entities such as incubators, financials suppliers, accelerators, universities and companies in relation to the startup innovations, which are described in this paper as key actors. The study of the relationship between these actors in the documents led to the identification of interactional necessities, including structures, infrastructures and networks. Finally, the processes studied in the literature were classified into three types of mechanisms, namely, the genesis, growth and development of startups innovations.

The SLR approach is subject to limitations because some poor explanations amongst previous researchers may be repeated and reinforced. Also, in the protocol adopted in this paper, documents are limited in English.

The introduced frammework can be useful in identifying and understanding the requirements of startups and creating effective policies for their innovation development.

This paper reviews, summarizes and integrates the growing and scattered literature of the innovation ecosystem of the startups and delivers new facts for the future development of this field.

The role of government in the global digital transformation is to ensure that digital infrastructure is reliable and efficient enough to guarantee an entrepreneurial ecosystem for investment in innovation and startups. This paper presents a case study showing how local policies have been used to create an effective startup ecosystem in Barcelona. This paper aims to provide a detailed analysis of the key elements of the startup ecosystem, including the role of local government.

This study uses an exploratory case research approach and proposes a theoretical framework to study the Barcelona innovation ecosystem, drawing on interviews, research observations and an analysis of the literature.

By applying its conceptual framework tools, the research is able to identify the key elements making up the startup ecosystem and classify the impact of digital transformation policies into three stages: creating the ecosystem, fostering feedback within the ecosystem by encouraging the first generation of entrepreneurs to interact with the second and third and attracting foreign capital and talent to this innovation ecosystem.

The novelty of this work lies in its time frame and geographical scope, as it provides an analysis of the digital transformation policies in Barcelona’s local startup ecosystem over a 30-year period. This research offers deeper insight into the role of public policies in the startup ecosystem in Barcelona, as well as the impact of digital transformation policies on startup ecosystems in general.

The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities, enterprises, and governments. Second, startups are better suited to develop innovation during crises or periods of low growth as experienced at the moment. Based on these aspects and drawing on the constructs of the triple helix, this study analyzes the influence between the characteristics of the actors on the quality of the startup ecosystem from a global view.

The study examines the cross-section data of 35 countries between 2017 and 2018 and applies the partial least squares structural equation modeling (PLS-SEM) for assessing the relationships between the triple helix on the quality of the startup ecosystem on a country-level.

The findings suggest that each actor of the triple helix individually does not positively affect the quality of the startup ecosystem. Yet, when analyzing the actors jointly by creating a second-order latent variable (i.e. triple helix), the study found out that in this way, the triple helix construct has a positive effect on the quality of the startup ecosystem.

Although a large body of prior literature indicates the importance of generating interrelationships among the different entities involved in ecosystems, few studies provide empirical evidence from a global perspective of the need for these entities to act in an overlapping manner. The present study supports previous research and reinforces the importance of the triple helix for a more innovative environment.

The purpose of this paper is to use Twitter analytics for analyzing the startup ecosystem of India.

The paper uses descriptive analysis and content analytics techniques of social media analytics to examine 53,115 tweets from 15 Indian startups across different industries. The study also employs techniques such as Naïve Bayes Algorithm for sentiment analysis and Latent Dirichlet allocation algorithm for topic modeling of Twitter feeds to generate insights for the startup ecosystem in India.

The Indian startup ecosystem is inclined toward digital technologies, concerned with people, planet and profit, with resource availability and information as the key to success. The study categorizes the emotions of tweets as positive, neutral and negative. It was found that the Indian startup ecosystem has more positive sentiments than negative sentiments. Topic modeling enables the categorization of the identified keywords into clusters. Also, the study concludes on the note that the future of the Indian startup ecosystem is Digital India.

The analysis provides a methodology that future researchers can use to extract relevant information from Twitter to investigate any issue.

Any attempt to analyze the startup ecosystem of India through social media analysis is limited. This research aims to bridge such a gap and tries to analyze the startup ecosystem of India from the lens of social media platforms like Twitter.

This paper aims to explore coopetition within the entrepreneurial ecosystem and answer the following two fundamental questions: How does coopetition affect the entrepreneurial learning and performance of startups? and What learning strategies should startups adopt to promote their growth in the coopetition activities?

Using the structural equation model and instrumental variable, this study used a sample of 371 startups to test the hypotheses. Data comes from startups in Jiangsu, Shanghai and Zhejiang, China.

This study finds that the coopetition-performance relationship of startups is marginally negative. This study also finds that exploitative learning and exploratory learning positively mediate this relationship. Ecosystem’s social capital can enhance the coopetition-exploration relationship, but the coopetition-exploitation relationship is not affected.

Many studies propose that the coopetition-performance relationship is ambiguous, which makes it meaningful to explore startups individually. Based on the resource-based view and the knowledge-based view, this study deepen the works of Bouncken and Fredrich (2016c), that is, how startups can learn and grow through coopetition activities. This study proposes that coopetition is one of the foundations of the ecosystem and explore the coopetition-performance relationship in this special context. Thus, the present paper adds to the budding literature on the effects of the entrepreneurial ecosystem and to the literature on coopetition.

Tech startup is the new hope for sustaining economic growth and job creation in a knowledge-based economy. However, research on the entrepreneurial ecosystem (EE) is always constructed upon macro-level analysis and is still very limited to the developed economies. This study aims to tackle those issues by exploring the connections within an EE in an emerging economies context with a micro and meso-level social network approach to unravel the pattern of networks and interactions between each actor in the EE.

This research used multi-layered social network analysis, exploring actors in the ecosystem and their interactions. The authors conducted interviews with startups, support organizations and government agencies. The authors used Atlas.ti software to visualize the network structures.

The authors found that the content of interaction within the EE in the emerging economies differs greatly with EE in the developed economies and they produced distinctive characteristics as follows: lack of a dense network, resource scarcities and structural gaps and weak institutional policies.

The research is based on a case study of tech-based EE in Yogyakarta, Indonesia. Therefore, the authors encourage other researchers to investigate networks and connections in other EEs in emerging economies. This research contributes a conceptual framework to better understand the network of connections in an emerging-economies-based EE.

The research shows grants provision alone cannot contribute to the functioning of EE. The authors argue strategic networks which promote collaboration among actors can reduce holes and structural gaps, as well as resource scarcities in the ecosystem. In addition to that, strong institutional policies and effective policy integration are needed to create a successful EE.

This research promotes the importance of networks, particularly networks between tech startups and strategic organizations to provide resources and support productive entrepreneurship in hopes of sustaining and accelerating tech startup growth within an EE.

The research proposes to add to the existing EE literature by shedding light on governance of EE, as well as exploring network of connection and interaction among actors within the ecosystem. As a result, the study addresses the need for a more micro or operational-level understanding of an EE. Recent calls for EEs literature have also focused on a certain actor’s dynamic function in the ecosystem. By focusing on the role of the government, the research added to the underdeveloped EE literature.

Discussion regarding systems that promote innovation, aptly named innovation ecosystems, has been intensifying both in academia and business. The purpose of this paper is to introduce the activity theory as a theoretical framework for conceptualising and studying innovation ecosystems. Using the activity theory, it investigates elements that affect the success and viability of innovation ecosystems formed between startups and incumbent firms, collaborating with an established firm within the context of an open innovation programme.

This study uses an exploratory case research approach and proposes the activity theory as a theoretical background to be used in innovation ecosystem research. Based on this approach, this study draws from interviews and research observations in an innovation ecosystem formed between an established firm and various startups that aim to co-develop innovative offerings.

By applying the activity theory tools, this study identifies several contradictions between interacting actors of this innovation ecosystem that can adversely affect the innovation process. Furthermore, it proposes the use of the activity theory as a fitting theoretical lens to study innovation ecosystems.

The novelty of this study is related to the focus on the incumbent–startup context for extending the innovation ecosystem literature. Using the activity theory as a viable methodological tool allows us to conceptualise firms as social constructs and hence pinpoint inner characteristics that can affect and shape their interactions and the broader ecosystem. This process is further enhanced by the use of primary data that give unique insights into the inner workings of innovation ecosystems by identifying underlying contradictions.

Operating in a market of scarcity and uncertainty, the startups have stood out by contributing to changing the economy and society, a new type of management. This study analyses how startup companies may develop dynamic capabilities from the resources present in their ecosystems.

Through a qualitative content analysis, we show different startup management and environmental features when compared with established companies.

Unlike mature and established companies, startups develop innovative businesses, raise funds and develop competences quickly, anchoring themselves in differentiation and innovation. Results show different startup management and environmental features when compared with established companies.

The study contributes to the literature by identifying management elements in dynamic environments, thus expanding the application of the theory of dynamic and managerial capabilities.

The study contributes to generating an instrument that assists entrepreneurs in the operationalization of their strategies through the use and development of their managerial capabilities and the orchestration of resources with the help of ecosystem actors.

We propose a framework with the main elements identified in the cases analyzed. Those elements may assist managers in orchestrating their resources in order to support ecosystem actors.