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This paper explores whether, in the context of university–industry (U–I) collaboration, new innovation strategies can be developed through actors' interactions, the exchange of resources and the co-creation of value for and within the system. In the context of the U–I relationship, the innovation perspective can highlight the need to develop strategies that elicit new formulas of value co-creation, which then facilitate innovation as a result of actor collaboration.

A total of 45 public universities in Spain, representing 95% of the total, participated in qualitative research. Personal in-depth interviews with technology transfer officers (TTOs) were conducted by an external firm; in a second phase, two of the researchers conducted eight interviews with the directors of TTOs in those universities with higher rates of transfer.

Findings reveal that enterprises with a technological focus are strengthening their relationships with universities and attempting to build a university business ecosystem by designing strategies for value co-creation such as co-ownership, co-patenting, and co-invention.

The empirical research is conducted in Spain, and results should be interpreted according to this context. Future research should examine new contexts (other countries) to improve the robustness of the data and enrich the results, thus enabling generalization of the management consequences.

The results provide a means to design strategies under a new collaborative and innovating logic. The theoretical framework contributes to theory, with implications for management.

This paper aims to focus on the changing role of universities in university–industry collaboration (UIC) for enriching the regional business ecosystem network. For this, the authors analyze “Business Clinic Day,” (BCD) a specific UIC program which provides a consulting service for firms, small- and medium-sized enterprises (SMEs) having a specific problem, by a group of facilitators. It includes consultants such as chief executive officers (CEOs), professors and heads of regional public or private service providers. This study illustrates that various types of networks are formed between consultants and problem-owners by facilitation of university after the program.

This study has analyzed with social network analysis how the business network was changed from clinic day program. Furthermore, the networks surrounding SMEs are extended to the other people connected to them. This means that the business network of SMEs had been diversified via the facilitation of “BCD” provided as UIC program.

Local SMEs have difficulties in enhancing their competitiveness in the market both in terms of internal resources and networks with external organizations. Thus, universities need to promote university–industry collaboration programs to enable SMEs to strengthen their competitiveness by building networks in local business ecosystems.

This study throws new highlights on the facilitator role of a university as a network promoter, in addition to the partner as a technology provider, in the regional business ecosystem.

Business accelerators have recently received increasing attention as important cogs in business ecosystem development. However, their exact role in the ecosystem is not yet well known, especially outside the IT sector. The purpose of this study is, therefore, twofold: to determine the position of life science accelerators in the business ecosystem and the attributes of support for companies and to identify key features of the life science accelerators that contribute to the change in business ecosystems.

The authors offer an exploratory case study of five life science business accelerators and analyze the main factors affecting the companies and the whole business ecosystem. The authors build upon the scarce literature on business accelerators and consider a new type of accelerator that specializes in life science projects and study its role in the transformation and evolution of the life science industry.

The authors have defined the role and key parameters of life science accelerators that influence the existing business ecosystems: (1) cooperation with other regions and countries, (2) development of entrepreneurial skills among participants of the business accelerators program and (3) a project on demand-based approach.

The key parameters of the life science accelerators allow to concentrate these efforts on the activities that are most demanded by the market. Business accelerators can increase the created value for other program participants.

This paper concerns the pivotal role that entrepreneurial universities can play in developing knowledge transfer and translation processes tailored to the cultural ecosystem.

The paper examines IncubiAmo Cultura, an innovative project that aims to mentor potential entrepreneurs and offer incubation and acceleration for cultural start-ups. The research methodology is based on action research and theory building from cases. An interventionist approach has been adopted, as one of the authors is also the founder of the ongoing project.

The in-depth collection of first-hand information on this pilot project has allowed the authors to formulate an analytical reflection and generate the design of a knowledge translation model driven by an entrepreneurial university that manifests itself through the creation of cultural and creative start-ups.

This article offers an original contribution to scholarship by offering a conceptual model for knowledge translation in cultural ecosystems. Common values (i.e. social, cultural, ethical and aesthetic ones) emerge as the basis on which to build open innovation and knowledge circulation.

For local policymakers, this study provides a clue to understand the need for both an integrated vision of knowledge translation and policies that aim to make an impact at the cultural ecosystem level. For entrepreneurial university governance, our investigation offers suggestions on the design and implementation of knowledge translation processes that fit with the specificity of the cultural ecosystem. For practitioners in the cultural field, a change of mindset is required to combine resources, energies and knowledge.

This work fills several gaps in the literature, as research generally concerns knowledge transfer from entrepreneurial universities to the market with regard to high-tech sectors. In contrast, the cultural sector is often neglected, despite its importance in the renewal and development of a territory.

Innovation ecosystems face many environmental challenges. The literature review shows that innovation ecosystems accelerate innovation activity, but empirical studies have not provided enough case studies focusing on the minimum-waste business strategy as one aspect of the circular economy. Various forms of interaction between members occur in the innovation ecosystems, which determines the level of cooperation. This paper aims to show the structure and forms of cooperation in an innovation ecosystem using the Czech Hemp Cluster (CHC) and its surroundings and suggest research directions in the field of interaction between members in an innovation ecosystem. Although hemp is associated with the production and distribution of narcotics, it is a versatile plant supporting the minimum-waste business strategy.

The research is based on a theoretical part of a literature review of major scientific articles on innovation ecosystems from 2016 to 2021. The case study of the CHC and the hemp ecosystem is based on qualitative research in the form of a content analysis of the mission of the cluster members. In addition to content analysis, the classic multidimensional scaling method and hierarchical cluster analysis were used to reveal ecological guilds.

The case study highlighted the specific relationship between the cluster and the ecosystem. The cluster does not determine the ecosystem boundaries, but the ecosystem is a much broader system of cooperation and interaction between organisations. Clusters emerge after an ecosystem has existed for a particular time to coordinate collaboration and information between organisations and stakeholders. The analysis of the CHC revealed the specific role of non-profit organisations (NPOs) in the innovation ecosystem. NPOs are not engaged in primary functions in the value chain, but they provide supporting activities through coordinated networking, disseminating information on innovation, awareness-raising and stakeholder education. Compared to natural ecosystems, innovation ecosystems are typically characterised by higher forms of collaboration between members.

An exciting opportunity for research on innovation ecosystems is the ecological guilds taken from natural ecosystems and whose identification can help define the boundaries of innovation ecosystems. An opportunity for further research is the comparison of NPO-based and government-based clusters playing a central role in developing innovation ecosystems. Regarding the problematic generalisability of the case study to the entire agricultural production, a challenge is a search for minimum-waste business models in agriculture characterised by the biological nature of production.

Theoretical and empirical studies have not yet considered innovation ecosystems in the minimum-waste context to a sufficient extent. The paper builds on previous scholarly studies focusing on innovation ecosystems and, for the first time, discusses the role of NPOs in the innovation ecosystem. The CHC case study adds a suitable minimum-waste business model to the still very scarce literature on sustainable innovation ecosystems. The article discusses the purpose and forms of cooperation in an innovation ecosystem, identifies a complementarity of roles in the innovation cluster and describes the interrelationship between the cluster and the ecosystem. Discussion of the ecosystem leader in the cluster-based innovation ecosystem shows the differences between Czech, Polish and German life science ecosystems.

Linkages play a strategic role in improving actor disposition and resource density in university–industry ecosystems. Due to the importance of interconnected ecosystems for the development of engaged universities, applying the service-dominant logic (SDL) perspective, the authors aim at developing theory on linkages that lead to a higher level of actor commitment and in turn result in increased actor disposition and greater resource density.

Data from semistructured interviews from four in depth case studies, known internationally as successful cases of university linkages development (Columbia Lab-to-Market Accelerator Network, Oxford University Innovation, Auckland Uniservices and the Münster Center for Interdisciplinarity), undergo qualitative analysis according to the Gioia methodology.

The results represent a contribution to the theory, as they highlight the strategic role of linkages in improving actor disposition and increasing resource density. Due to its shown importance, linkage is an element to be considered on its own in the innovation ecosystems configurations in the context of universities.

The results of the research have implications for university management, since they focus on how resources are mobilized and linked. The interactive roles of actors in ecosystems imply that the locus of value creation moves beyond the borders of the organization toward the linkages. Strategies for managing university–industry linkages (UIL) are presented.

To date there has not been sufficient theoretical or empirical contribution in the university–industry ecosystem context about the role of linkages to improve resource density through increased actor disposition.

This chapter examines the impact of smart city projects on the economic and business environment, with a specific focus on their potential to foster innovation and entrepreneurship. It highlights how smart cities create an enabling environment for new businesses, start-ups, and promotes gender and green entrepreneurship, while enhancing urban properties and contributing to the overall entrepreneurial ecosystem. The exponential growth of smart city projects worldwide has underscored the critical relationship between smart cities and the entrepreneurial ecosystem for city prosperity and competitiveness. This chapter explores the interplay between smart cities and the economic environment, emphasizing their role as hubs for innovation and business creation. It analyzes the influence of smart city ecosystems and economic factors on local growth and economic outcomes, drawing on international research and factual data. This chapter evaluates the economic outcomes of smart cities, including their impact on the economic environment, business creation, start-ups, innovative and green companies, as well as gender entrepreneurship. This chapter emphasizes the significance of smart city implementation in driving economic advancements within both the urban and economic landscapes. Finally, this chapter concludes by presenting a conceptual framework that synthesizes the insights gained, providing a comprehensive understanding of the economic impact of smart cities and offering a roadmap for further exploration of this topic.

As the main factor for sustainable development of countries, entrepreneurship is a difficult path only chosen by those who have a high level of risk-taking. On this path, entrepreneurship requires an ecosystem that welcomes this type of thinking and eliminates the barriers on the path as much as possible. This ecosystem comprises various components that attempt to pave the way in a private and public manner. The entrepreneurial ecosystem still has many latent aspects after several years. This study aims to provide a big picture of all studies published in the Web of Science database to help future researchers.

In this research, 765 scientific papers published in the database were analyzed using 3 main approaches of network analysis, co-occurrence analysis of keywords and co-citation clustering.

In the end, four major clusters were identified for articles in this field in the clustering section, including the entrepreneurial ecosystem, academic entrepreneurship, innovation ecosystem and institutional entrepreneurship.

This paper used a new approach for reviewing the entrepreneurial ecosystem and made a big picture of all previous research studies. In the end, an unsupervised machine learning approach was used to clustering the research studies and four major clusters were identified.

This paper identifies exigent factors that enable and constrain trust building in a science-based innovation ecosystem.

Set in the Northeast England, this study adopts a processual sensemaking approach to thematically analyse interviews with a diverse range of participants in six science-based SMEs.

The findings provide a unique exposition of trust building in an innovation ecosystem across geographic and platform relationships. In doing so, the findings highlight factors outside of contractual agreements that enable or constrain trust building in an innovation ecosystem.

Limitations centred on subjectivity in the use of thematic analysis, sample bias and size. Sampling limitations were mitigated through the research design and analysis.

The findings provide unique insights into understanding the exigent factors that enable or constrain trust building in a science-based innovation ecosystem.

The study identifies five exigent factors that constrain or enable trust building in science-based SMEs' innovation ecosystem at a micro-level – building network relationships, degree of novelty, protection of innovations, propensity for adding value, propensity for risk.

Social entrepreneurs (SEs) often face various challenges whereby they rely on the support of others to realize their objectives. In this context, ecosystem thinking is very helpful to understand how various stakeholders can assist SEs. The purpose of this paper is to develop a classification of the different types of support that third parties can provide to SEs.

The authors have developed the arguments in this paper based on a literature review of 258 articles on ecosystem thinking and social entrepreneurship. Articles have been retrieved from the Web of Science database, using as search parameters on the one hand publications in top journals, and on the other articles with more than 60 citations. In addition, the authors have received recommendations for relevant good-quality articles following a snowball procedure.

This paper contributes by distinguishing three support categories for SEs – fuel, hardware and DNA – based on what we know from ecosystem thinking. This paper elaborates on the building blocks of each support category, points at the relevant actors and discusses the interrelatedness across support categories.

The three support categories are developed by building on predominantly ecosystem literature. This study implies that the scalability of SEs’ social impact does not only depend on their strengths but also on how well they are supported.

The three support categories are complementary to the strengths of individual SEs. SEs can therefore start with what they have, and then gradually expand their support structure by surrounding themselves with stakeholders that can assist them with fuel, infrastructure and DNA.

Social enterprise theories have elaborated on the various challenges that SEs face. Lack of resources, lack of staff, lack of professional management, underdeveloped networks and mission drift are seen as the most pressing. Although the relevant literature does rightly point out the indispensable support of others, it does so without differentiating between the kinds of support that can help SEs increase their social impact. This paper offers to remedy this by creating three separate support categories: fuel, hardware and DNA.