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Following the triple helix (TH) model and the way knowledge is transferred into the industry domain, this chapter aims to define features interface that should be implemented in order to facilitate the University–Industry (UI) relationship and thus encourage the spin-off creation.

In order to support this relationship, a new business model configuration of an entrepreneurial ecosystem is proposed, aiming at creating a sustainable environment, where business entities can grow. The field of the Governance of Entrepreneurial Ecosystems is also investigated in order to define a framework for launching, developing, and sustaining a company over time.

This chapter presents a case study developed within the University of Salento (Italy). It capitalizes results from three different research analyses, based on questionnaires and interviews with actors of the spin-off network (professors and researchers, graduating students, admin-tech staff of the Technology Transfer Office, spin-offs’ CEOs/Associates, and R&D managers of external companies) and on results coming from scientific publications and regional/national reports in the innovation context.

A research methodology based on semantic network analysis and sentiment analysis has been applied in order to identify which features an interface should implement in order to facilitate the UI relationship and encourage the spin-off creation.

To support the start-up overcoming the “death valley,” the creation of a link between the strategy used to transfer value to the market and the phase of innovation is proposed inside the business model configuration. Some aspects of a governance model of an entrepreneurial ecosystem were also presented in order to support the business evolution of a single business entity and assuring sustainability over time.

The sport system is currently changing to take advantage of more entrepreneurial forms of business ventures. Sport start-ups have emerged as a new type of sport venture that can quickly enter the marketplace based on demand. The reason for this growth is due to innovation and knowledge capabilities being needed in sport organizations. This chapter examines the role of sport start-ups in the knowledge economy by focusing on the role of sport technology. This enables a better understanding about how sport entrepreneurship is leading to the formation of different types of businesses that can utilize entrepreneurial finance.

Colleges and universities play a vital role in the creation and dissemination of the innovations that feed the knowledge economy. First, universities carryout a significant portion of the basic research that is conducted in the United States. In 2006, the National Science Foundation reported having awarded $30 B in research-based funding to colleges and universities (National Science Foundation, 2007). While this figure is not an indicator of innovation output, the number helps to demonstrate the scope of research activity that is occurring within the academy. Mansfield (1995) noted that government funding for university research is bent toward science that holds commercial potential and highlighted that such research is likely to produce a high amount of social benefits. Mansfield also concluded that measuring the social returns of university-born (and federally funded) innovations though difficult, is important. Second, universities are instrumental in the production of economically relevant human capital, including students trained in key science and technology disciplines (Leslie & Brinkman, 1988). Audretsch (2007) indicates a highly educated workforce that is capable of creating and moving innovative technologies into the marketplace is a critical component of the current entrepreneurial economy. Also, faculty who intersect industry through consulting and other commercial-related activities make valuable contributions to the economic growth and prosperity of communities, regions, and beyond. In short, colleges and universities are key contributors to the production and function of the innovations that largely drive the knowledge economy.

Academic knowledge can be put to use in a commercial environment in several ways. One such mechanism to transfer knowledge to the market place is the start of a new, separate company, termed an academic spin-off company, with the aim to commercially develop and exploit the knowledge generated in the university (Fontes, 2003). In 1999, the Dutch Ministry of Economic affairs published a paper stating that the number of high-tech start-ups in the Netherlands lags behind compared to other EU countries and the United States. Subsequently, initiatives were started to stimulate commercial exploitation of knowledge generated within universities. A specific initiative by the Dutch government in the area of the Life Sciences was the so-called Biopartner programme. This was started in 2000 with the objective to enhance the business climate for start-ups in the Life Sciences and to realize 75 start-ups within 5 years (Dutch Ministry of Economic Affairs, 1999). Actions were directed toward increasing awareness, stimulating starters, establishing facilities like a seed fund and academic incubators, and promoting the commercialization of academic knowledge within universities. A few years later, the Technopartner program and the Valorization Grant were implemented with similar instruments aiming at scientists in universities (Dutch Ministry of Economic Affairs, 2003).

This chapter investigates how regional start-up rates in the knowledge-intensive services and high-tech industries are influenced by knowledge spillovers from both universities and firm-based R&D activities. Integrating insights from economic geography and organizational ecology into the literature on entrepreneurship, we develop a theoretical framework which captures how both supply- and demand-side factors mold the regional bedrock for start-ups in knowledge-intensive industries. Using multilevel data of all knowledge-intensive start-ups across 286 Swedish municipalities between 1994 and 2002 we demonstrate how characteristics of the economic and political milieu within each region influence the ratio of firm births. We find that knowledge spillovers from universities and firm-based R&D strongly affect the start-up rates for both high-tech firms and knowledge-intensive services firms. Further, the start-up rate of knowledge-intensive service firms is tied more strongly to the supply of university educated individuals and the political regulatory regime within the municipality than start-ups in high-tech industries. This suggests that knowledge-intensive service-start-ups are more susceptible to both demand-side and supply-side context than is the case for high-tech start-ups in general. Our study contributes to the growing stream of research that explains entrepreneurial activity as shaped by contextual factors, most notably academic institutions, such as universities that contribute to knowledge-intensive start-ups.

In this chapter, the author explore the role of entrepreneurial ecosystems in terms of focusing on the importance of accelerators. Entrepreneurship is crucial for the ongoing success of accelerators but seldom has research focused on the ecosystem perspective. Organizations habitually use their contacts and networks to facilitate business growth through being included in accelerator programs. This means that comprehending how different entities are embedded in an entrepreneurial ecosystem can provide learning benefits. In the ecosystem literature, the role of accelerators has mainly been studied from the individual and firm-level demonstrating the relationship between entrepreneurial behavior and firm performance but there is more need to emphasis the role accelerators play in the entrepreneurial ecosystem. Suggestions for managers involved in entrepreneurial ecosystems are suggested in this chapter as a way of encouraging more involvement in accelerator programs.

Business plan writing seems the panacea to gain stakeholder legitimacy and financial backing. Our chapter explores the contributions and disconnections between business plan writing and the start-up process for incubated technology entrepreneurs. The study is set in the South East Enterprise Platform Programme (SEEPP), an incubator programme for technology graduate entrepreneurs in the South East of Ireland. Using a purposive sample of technology entrepreneurs in start-up mode, we took a qualitative approach consisting of content analysis of 40 business plans and in-depth interviews with 25 technology entrepreneurs. Our research found that writing a detailed business plan constrains the technology entrepreneur’s natural penchant for action, compelling them to focus on business plan writing rather than enactment. Technology entrepreneurs favour a market-led rather than funding-led operational level document to plan, and learn from, near-term activities using milestones.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.