Artikel

Cognitive adaptability and narrow personality traits: Proposing a person–entrepreneurship fit for established entrepreneurs in South Africa

Background: The person–entrepreneurship fit has been confirmed for new ventures, but has not been determined for established entrepreneurs. Personality traits and entrepreneurial cognitions are seen as important factors that lead to long-term performance, which is needed for established entrepreneurs to survive.Objectives: A model is proposed which suggests that a closer association between certain narrow personality traits and the cognitive adaptability dimensions indicates a closer person–entrepreneurship fit.Method: A quantitative approach was followed whereby 2650 established entrepreneurs in South Africa were surveyed, and a multiple regression analysis was conducted.Results: Most studies on personality are conducted using the five-factor model of personality traits, and not necessarily the narrow traits. In this regard, new narrow traits emerged within the five main personality traits. The findings increase the understanding of the cognitive adaptability, and how it relates to these discrete narrow personality traits.Conclusion: The findings of this study may inform the policymakers who are trying to encourage entrepreneurial activity, and the transition of nascent entrepreneurs to established entrepreneurs in the context of developing as well as developed markets. Educators could incorporate the cognitive adaptability dimensions in entrepreneurial training and support programmes, which could encourage nascent and start-up entrepreneurs to become established entrepreneurs.

Sprache
Englisch

Erschienen in
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 50 ; Year: 2019 ; Issue: 1 ; Pages: 1-10 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Klassifikation
Management

Ereignis
Geistige Schöpfung
(wer)
Botha, Melodi
Morallane, Hajo
Ereignis
Veröffentlichung
(wer)
African Online Scientific Information Systems (AOSIS)
(wo)
Cape Town
(wann)
2019

DOI
doi:10.4102/sajbm.v50i1.1323
Handle
Letzte Aktualisierung
10.03.2025, 11:44 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

  • Botha, Melodi
  • Morallane, Hajo
  • African Online Scientific Information Systems (AOSIS)

Entstanden

  • 2019

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