EconPapers    
Economics at your fingertips  
 

How Does the Entrepreneurship Ecosystem Contribute to the Performance of Entrepreneurial Start-Up Firms?

Negin Salimi ()
Additional contact information
Negin Salimi: Wageningen University & Research

A chapter in Advances in Best-Worst Method, 2022, pp 52-66 from Springer

Abstract: Abstract The entrepreneurship ecosystem is a fundamental approach for policy makers to improve the performance of start-ups. The main focus of this paper is on how the entrepreneurship ecosystem contributes to the performance of start-ups and how the entrepreneurship ecosystem can be evaluated. Using Bayesian Best-Worst Method, we examine the importance of different entrepreneurship ecosystem attributes on entrepreneurial success (contains four measurements: profitability, sales growth, employment growth, and market share) in the Netherlands in the agri-food industry. Our findings highlight that, of the attributes, Talent has a significant importance for profitability, sales growth and employment growth. In other words, our results show the impact of Talent on effectiveness of ecosystem. Moreover, evaluating the current performance of entrepreneurship ecosystem and using Importance-Performance analysis showed that the Dutch agri-food entrepreneurship ecosystem is very successful and effective.

Keywords: Entrepreneurship; Start-ups; Entrepreneurship ecosystem; Successful start-ups; Bayesian best-worst method; Importance-performance analysis (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-030-89795-6_5

Ordering information: This item can be ordered from
http://www.springer.com/9783030897956

DOI: 10.1007/978-3-030-89795-6_5

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnopch:978-3-030-89795-6_5