Signals for Entrepreneurial Family Lending: Psychological Capital as an Intent Signal.

corporate competitive advantage family lending raised firm performance psychological capital signaling theory

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2022
Historique:
received: 19 10 2021
accepted: 20 01 2022
entrez: 7 3 2022
pubmed: 8 3 2022
medline: 8 3 2022
Statut: epublish

Résumé

Family financing has become a powerful channel for entrepreneurs to obtain entrepreneurial funding. How do family members use intent and quality signals to select new ventures to provide lending support? Building on the signaling theory, this study provides the first quantitative evidence using a sample of 166 samples of family lenders in China. Our findings reveal that psychological capital can support entrepreneurs to obtain family lending. As an intent signal, psychological capital becomes more influential when quality signals, corporate competitive advantage, and firm performance perform more positively. This study emphasizes that family financing support is not only out of love or altruism and extends the literature concerning the influence of positive psychological capital in financial investment decisions.

Identifiants

pubmed: 35250732
doi: 10.3389/fpsyg.2022.797615
pmc: PMC8894253
doi:

Types de publication

Journal Article

Langues

eng

Pagination

797615

Informations de copyright

Copyright © 2022 Zhou, Zhang, Su and Shirshitskaia.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Bus Res. 2020 Nov;120:59-73
pubmed: 32834213
Front Psychol. 2021 Nov 11;12:744237
pubmed: 34858277

Auteurs

Xue Zhou (X)

Business School, Qingdao University, Qingdao, China.

Ling Zhang (L)

Business School, Qingdao University, Qingdao, China.

Xiaoyun Su (X)

Business School, Qingdao University, Qingdao, China.

Ekaterina Shirshitskaia (E)

Business School, Qingdao University, Qingdao, China.

Classifications MeSH