Identifying Impact of the Entrepreneurship Ecosystem on the Success of Entrepreneurial Start-Up Firms

Georgios Boutris and Negin Salimi ()
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Georgios Boutris: Wageningen University and Research
Negin Salimi: Wageningen University and Research

A chapter in Advances in Best-Worst Method, 2023, pp 129-145 from Springer

Abstract: Abstract The entrepreneurship ecosystem is a widely used approach that facilitates start-ups’ growth. To date, there is a research gap concerning the influence of the entrepreneurship ecosystem on start-ups’ success during different lifecycle stages (bootstrapping, seed, and creation stage). Using Bayesian Best-Worst Method, the importance of various entrepreneurship ecosystem attributes was examined on the entrepreneurial success of start-ups during their lifecycle in the Dutch agri-food sector. To measure success, five indicators were considered: profitability, sales growth, employment growth, market share, and return on investment. The results suggest that the ecosystem attributes of Leadership, Network Density, Talent, and Capital are critical for the success of start-up in each life stages. Furthermore, the study highlights that the ecosystem attributes of Talent and Companies present differences in the creation stage compared to the previous stages. More specifically, Talent becomes even more important, in addition to programs for cooperation between larger companies and start-ups requiring more attention. Finally, using Importance-Performance analysis, the findings indicate that the Dutch entrepreneurship ecosystem seems to be efficient and supportive for the creation and success of entrepreneurial start-up firms.

Keywords: Entrepreneurship; Entrepreneurship ecosystem; Start-ups; Dutch agri-food sector; Bayesian Best-Worst Method; Importance-Performance analysis (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-24816-0_11

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