Artikel

Causal recipes for turning fin-tech freelancers into smart entrepreneurs

Purpose The purpose of this paper is to explore the extent to which fin-tech freelancers are interested in further development of their own business and receive funding for launching and upscaling their start-up. Design/methodology/approach Using a fuzzy set qualitative comparative analysis (fsQCA), this study examines how experience in dealing with different fin-tech solutions, online reputation, innovation, capabilities and interest to apply for funding affect the desired outcome: turning freelancing services into entrepreneurial initiatives. Findings Fin-tech enables freelancers to become smart entrepreneurs and tailors their experience to capture entrepreneurial opportunities allowing them to apply for funding to a large range of instruments. Research limitations/implications The study was limited to a small sample of fin-tech entrepreneurs and the generalization of results calls for caution. Originality/value A configurational framework aiming to turn fin-tech freelancers into entrepreneurs is proposed, which encompasses the antecedent conditions of personal experience, reputation, innovation and commitment to find money for creating start-ups.

Weitere Titel
Recetas causales para transformar a los profesionales libres fin-tech en emprendedores inteligentes
Sprache
Englisch

Erschienen in
Journal: Journal of Innovation & Knowledge (JIK) ; ISSN: 2444-569X ; Volume: 4 ; Year: 2019 ; Issue: 3 ; Pages: 196-201 ; Amsterdam: Elsevier

Klassifikation
Management
Entrepreneurship
Human Capital; Skills; Occupational Choice; Labor Productivity
Thema
Entrepreneurship
Fin-tech
Freelancing
Innovation
Reputation

Ereignis
Geistige Schöpfung
(wer)
Damian, Daniela
Manea, Ciprian
Ereignis
Veröffentlichung
(wer)
Elsevier
(wo)
Amsterdam
(wann)
2019

DOI
doi:10.1016/j.jik.2019.01.003
Handle
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

  • Damian, Daniela
  • Manea, Ciprian
  • Elsevier

Entstanden

  • 2019

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