A three-wave study of antecedents of work-family enrichment: the roles of social resources and affect

Siu, Oi ling, Bakker, Arnold B., Brough, Paula, Lu, Chang-qin, Wang, Haijang, Kalliath, Thomas, O'Driscoll, Michael, Lu, Jiafang, and Timms, Carolyn (2015) A three-wave study of antecedents of work-family enrichment: the roles of social resources and affect. Stress and Health, 31 (4). pp. 306-314.

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On the basis of conservation of resources theory (Hobfoll, 1989) and the resource-gain-development perspective (Wayne, Grzywacz, Carlson, & Kacmar, 2007, this paper examines the differential impact of specific types of affect (job satisfaction and family satisfaction, respectively) which, in turn influence work-to-family enrichment and family-to-work enrichment, respectively. A sample of 276 Chinese workers completed questionnaires in a three-wave survey. The model was tested with structural equation modelling. Job satisfaction at time 2 partially mediated the relationship between time 1 supervisory support and time 3 work-to-family enrichment (capital), and the effect of supervisory support on work-to-family enrichment (affect) was fully mediated by job satisfaction. Family satisfaction at time 2 fully mediated the relationship between time 1 family support and time 3 family-to-work enrichment (affect, efficiency). Implications for theory, practice and future research are discussed.

Item ID: 43143
Item Type: Article (Research - C1)
ISSN: 1532-2998
Keywords: family satisfaction; family support, job satisfaction; supervisory support; work-family enrichment
Funders: Lingnan University (LU) RGC Research Grants
Projects and Grants: LU DR07B7, LU DS08A4, LU DR09A2
Date Deposited: 10 Mar 2016 23:52
FoR Codes: 15 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 1503 Business and Management > 150305 Human Resources Management @ 50%
17 PSYCHOLOGY AND COGNITIVE SCIENCES > 1701 Psychology > 170107 Industrial and Organisational Psychology @ 50%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970117 Expanding Knowledge in Psychology and Cognitive Sciences @ 50%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920410 Mental Health @ 50%
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