Artificial intelligence has emerged as a leading force among disruptive technologies, significantly reshaping the business landscape. Startups, due to their agility and innovation potential, are uniquely positioned to leverage artificial intelligence’s transformative power. This study investigates how the strategic behavior of startups influences their success within entrepreneurial ecosystems, particularly during periods marked by rapid technological disruption. Employing the dynamic capabilities framework, the research introduces a theoretical model to evaluate entrepreneurial ecosystems success across two dimensions: the organizational level, which pertains to individual startup outcomes, and the ecosystem level, which reflects the broader ecosystem’s performance. The model’s validity was tested through structural equation modeling using a partial least squares approach, based on data from a structured survey of 210 startups listed in Italy’s official Business Register of Innovative Startups. Results reveal a strong, positive relationship between startups’ dynamic capabilities and the performance of entrepreneurial ecosystems in times of disruptive change. Moreover, the integration of artificial intelligence is identified as a key driver of ecosystem-wide success. The paper concludes with practical insights for startups navigating disruptive environments and outlines directions for future research.

Artificial intelligence and dynamic capabilities: how startups can thrive in entrepreneurial ecosystems amid disruptive change

Troise, Ciro
Co-first
;
Bresciani, Stefano
Last
2025-01-01

Abstract

Artificial intelligence has emerged as a leading force among disruptive technologies, significantly reshaping the business landscape. Startups, due to their agility and innovation potential, are uniquely positioned to leverage artificial intelligence’s transformative power. This study investigates how the strategic behavior of startups influences their success within entrepreneurial ecosystems, particularly during periods marked by rapid technological disruption. Employing the dynamic capabilities framework, the research introduces a theoretical model to evaluate entrepreneurial ecosystems success across two dimensions: the organizational level, which pertains to individual startup outcomes, and the ecosystem level, which reflects the broader ecosystem’s performance. The model’s validity was tested through structural equation modeling using a partial least squares approach, based on data from a structured survey of 210 startups listed in Italy’s official Business Register of Innovative Startups. Results reveal a strong, positive relationship between startups’ dynamic capabilities and the performance of entrepreneurial ecosystems in times of disruptive change. Moreover, the integration of artificial intelligence is identified as a key driver of ecosystem-wide success. The paper concludes with practical insights for startups navigating disruptive environments and outlines directions for future research.
2025
21
1
1
26
Artificial intelligence; Disruptive technology; Dynamic capability; Entrepreneurial ecosystem; Innovation performance
Cimino, Antonio; Troise, Ciro; Corvello, Vincenzo; Bresciani, Stefano
File in questo prodotto:
File Dimensione Formato  
Cimino et al IEMJ.pdf

Accesso riservato

Dimensione 1.57 MB
Formato Adobe PDF
1.57 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2117526
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 7
social impact