Artikel

Analysing academics' entrepreneurial opportunities: The influence of academic self-efficacy and networks

Academic entrepreneurial opportunities are a key factor in the development of new spin-offs. This study examines the relationship between academic entrepreneurial opportunities perceived by academics and these academics' entrepreneurial self-efficacy (ESE) to determine which dimensions of ESE (among management, innovation, marketing, risk-taking and financial control) are significantly related to these opportunities. It also analyses how industrial and entrepreneurial networks, as part of the university's entrepreneurial ecosystem, influence this relationship. A quantitative method is used to achieve this goal, developing a structural equations model and applying partial least squares technique to analyse a sample of 388 Spanish academics. The results show that the dimensions of ESE related to variables such as management, innovation and marketing have a positive and significant relationship to perception of entrepreneurial opportunities. This situation is different, however, for dimensions such as risk-taking and financial control. Moreover, the findings show that entrepreneurial and industrial networks have a significant effect on this relationship.

Sprache
Englisch

Erschienen in
Journal: European Research on Management and Business Economics (ERMBE) ; ISSN: 2444-8834 ; Volume: 27 ; Year: 2021 ; Issue: 2 ; Pages: 1-14

Klassifikation
Management
New Firms; Startups
Thema
Academic entrepreneurial opportunities
Social networks
Industrial networks
Spin-offs
Entrepreneurial ecosystems

Ereignis
Geistige Schöpfung
(wer)
Mira-Solves, Ignacio
de la Cruz, Marina Estrada
Gómez-Gras, José María
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2021

DOI
doi:10.1016/j.iedeen.2021.100152
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Mira-Solves, Ignacio
  • de la Cruz, Marina Estrada
  • Gómez-Gras, José María
  • Elsevier

Entstanden

  • 2021

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