Entrepreneurial Ecosystems and the Diffusion of Startups
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Entrepreneurial Ecosystems and the Diffusion of Startups

Edited by Elias G. Carayannis, Giovanni B. Dagnino, Sharon Alvarez and Rosario Faraci

Entrepreneurial Ecosystems and the Diffusion of Startups addresses, for the first time, the emerging notion of entrepreneurial ecosystems. Chapters from leading scholars in the fields of entrepreneurship and strategy explore new ideas and provoke debate in both academia and practice. Covering the emergence, dynamics and management of entrepreneurial ecosystems and offering conceptual tools, experimental evidence and practical examples, this book will be invaluable to those seeking a greater understanding of entrepreneurship and startup strategies, both practitioners and students.
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Chapter 8: Towards “skarse” entrepreneurial ecosystems: using agent-based simulation of entrepreneurship to reveal what makes regions tick

Elias G. Carayannis and Mike Provance

Abstract

We have started formulating and simulating the lifecycle of knowledge-driven (that would include technology-driven) ventures that can be viewed as the exercise of real options under regimes of risk and uncertainty that is modeled in the form of “happy accidents” namely, strategic knowledge serendipity, arbitrage and acquisition events that punctuate the process of the venture’s lifecycle. In practical terms, we find that the timing, selection and sequencing of key decisions pertaining to new venture formation and evolution are contingent in a non-linear manner to the breadth and depth as well as the quality and density of the network structure of the business and technology ecosystem within which a venture is situated. We find that up to a certain point of cultivating and nurturing the new firm’s “socio-economic” network, the costs outweigh the benefits but with an abrupt about-face once a critical mass in the scale, scope and quality of this “socio-economic” network or business and technology ecosystem is attained when the benefits start outweighing and exponentially exceeding the costs.

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