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It is well known that entrepreneurship is a complex phenomenon, which takes place under great uncertainty. Much of the existing research that explores the venture creation process has assumed a linear, unitary process. The proposal presented in this chapter involves the venture creation process viewed as an iterative, non-linear, feedback-driven system called the Startup Path – a framework that brings together the entrepreneur as an individual, with its journey on the venture creation process.

Recent studies have questioned the direct relationship between entrepreneurial orientation (EO) and firm performance (e.g., Rauch, Wiklund, Lumpkin, & Frese, 2009; Wales, Gupta, & Mousa, 2013). Following this stream of research, this study examines this relationship by identifying the intermediate steps between these two variables (Alegre & Chiva, 2013; Wales, 2016; Zahra, Sapienza, & Davidsson, 2006). EO is considered essential for new market entry and new business foundation, which is why this study focuses on startups. Startups search for viable business opportunities, and this search is highly dependent on organizational learning (Kreiser, 2011). Previous studies suggest that organizational learning mediates the relationship between EO and performance (e.g., Real, Roldan, & Leal, 2014; Wang, 2008). This study investigates the role of organizational learning in this relationship by analyzing how EO and absorptive capacity (AC) interact. We propose a more direct and fine-grained measure of entrepreneurial success by developing a conceptual model that includes opportunity identification as an early outcome measure for startups. Drawing on a sample of 95 academic spin-offs in the Netherlands, this study examines the mediating role of AC and market readiness in the relationship between EO and market opportunities. The findings indicate that AC and market readiness mediate the direct effect of EO on market opportunity identification. By using opportunity identification as an outcome measure for EO, this study adopts a more direct measure for firm performance, resonating with recent discussions on the main effect of EO for organizations. These findings suggest that academic spin-offs’ AC leads entrepreneurial efforts to achieve a better product-market fit, and in return, helps to identify more market opportunities.

Sport startups are a new type of startups that are rapidly emerging in the global marketplace as a way to include digital technology innovations in new business ideas. The idea behind a startup is that an entrepreneurial idea can quickly become reality and lead to more sustainable business ventures. The sport industry is a recipient of many innovations and needs to rapidly introduce these innovations in order to be competitive. This chapter focuses on how startups have emerged and the reasons why they are useful to the sport industry. The role of technological innovations in spearheading change is discussed together with some suggestions for future research ideas.

The pursuit of entrepreneurial opportunities is not always successful. On the one hand, entrepreneurial failure offers an invaluable opportunity for entrepreneurs to learn about their ventures and themselves. On the other hand, entrepreneurial failure is associated with substantial financial, psychological, and social costs. When entrepreneurs fail to learn from failure, the potential value of this experience is not fully utilized and these costs will have been incurred in vain. In this chapter, the authors investigate how the stigma of failure exacerbates the various costs of failure, thereby making learning from failure much more difficult. The authors combine an analysis of interviews of 20 entrepreneurs (who had, at the time of interview, experienced failure) with an examination of archival data reflecting the legal and cultural environment around their ventures. The authors find that stigma worsens the entrepreneurs’ experience of failure, hinders their transformation of failure experience, and eventually prevents them from utilizing the lessons learnt from failure in their future entrepreneurial activities. The authors discuss the implications of the findings for the entrepreneurship research and economic policies.

Entrepreneurship education has been largely treated as a pedagogical “black box.” Despite the emergence of popular entrepreneurship models such as business planning, the lean startup, or business model canvas, neither theoretical nor pedagogical foundations are typically evident. This limits the accumulation of useful evidence that could inform better teaching practices. In this chapter, we develop a set of conceptual models anchored in learning theory regarding how entrepreneurship education should be taught to students. These conceptual models are built on the techniques of entrepreneurship pedagogy such as experiential education. They are developed for three groups of students: students without any entrepreneurship experience, students with previous entrepreneurship experience, and students who are currently running their start-ups. A set of potential variables that could be used for course evaluation purposes is also included. The proposed models meet the needs of students with different levels of entrepreneurship experience. Theoretically, we demonstrate that entrepreneurship students should not be treated as a homogeneous group, as they have different levels of startup experience and different educational needs. Lecturers of entrepreneurship programs could choose the suitable model proposed in this chapter in teaching based on the characteristics of their students. The chapter provides novel insights with regard to how entrepreneurship programs should be designed for students with different levels of entrepreneurship experience.