Getting under the skin? Influences of work-family experiences on personality trait adaptation and reciprocal relationships.


Journal

Journal of personality and social psychology
ISSN: 1939-1315
Titre abrégé: J Pers Soc Psychol
Pays: United States
ID NLM: 0014171

Informations de publication

Date de publication:
10 Aug 2023
Historique:
medline: 10 8 2023
pubmed: 10 8 2023
entrez: 10 8 2023
Statut: aheadofprint

Résumé

The literature on personality trait development has mainly focused on influences of life experiences in one single life domain (e.g., work or family) separate from one another and has primarily examined personality development in early life stages. Thus, less attention has been devoted to influences from interplays across different life domains and personality development in middle and late adulthood. Synthesizing the literature on personality science and organizational research, we built a theoretical model and investigated what, how, and why the interplay between two central life domains-work and family-may be related to personality trait development of people at their middle and late life stages, and more important, change-related reciprocal relationships between personality traits and work-family experiences. Generally, convergent findings with data from two longitudinal studies (National Survey of Midlife in the United States, maximum

Identifiants

pubmed: 37561453
pii: 2023-96776-001
doi: 10.1037/pspp0000476
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Chinese University of Hong Kong; CUHK Business School

Auteurs

Wen-Dong Li (WD)

Department of Management, CUHK Business School, Chinese University of Hong Kong.

Jiexin Wang (J)

Department of Organization Studies and Ethics, Audencia Business School, Shenzhen Audencia Financial Technology Institute, Shenzhen University.

Tammy Allen (T)

Department of Psychology, University of South Florida.

Xin Zhang (X)

Department of Human Resource Management, College of Business, Shanghai University of Finance and Economics.

Kaili Yu (K)

Department of Management, CUHK Business School, Chinese University of Hong Kong.

Hong Zhang (H)

Department of Management, Lingnan University.

Jason L Huang (JL)

School of Human Resources and Labor Relations, Michigan State University.

Andrew Li (A)

Department of Management, Marketing, and General Business, West Texas A&M University.

Classifications MeSH