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Configurational demographic predictors of work-nonwork satisfaction
Citation
Farivar, F and Richardson, J, Configurational demographic predictors of work-nonwork satisfaction, Human Resource Management Journal, 30 pp. 133-148. ISSN 0954-5395 (2020) [Refereed Article]
Copyright Statement
© 2019 John Wiley & Sons Ltd
DOI: doi:10.1111/1748-8583.12257
Abstract
Whereas contemporary work-life balance research tends to treat demographic variables as
moderators, grouping variables or control variables influencing work and nonwork satisfaction, earlier theories were premised on the assumption that they are, in fact, predictors of work and nonwork satisfaction. However, those assumptions have not yet been tested empirically. Drawing on an Australian study comprising 798 white-collar employees and using Fuzzy-set Qualitative Comparative Analysis technique, we investigate demographic variables as potential configurational predictors affecting work-nonwork satisfaction defined as a combination of work satisfaction and nonwork satisfaction. The analysis revealed different scenarios and specific patterns between configurational solution terms leading to work-nonwork satisfaction. Employment status and age of children
(specifically age differences between children) were the most important demographic variables influencing employees’ work-nonwork satisfaction.
Item Details
Item Type: | Refereed Article |
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Keywords: | work-nonwork satisfaction, demographic feature, children age gap |
Research Division: | Commerce, Management, Tourism and Services |
Research Group: | Human resources and industrial relations |
Research Field: | Human resources management |
Objective Division: | Economic Framework |
Objective Group: | Management and productivity |
Objective Field: | Management |
UTAS Author: | Farivar, F (Dr Farveh Farivar) |
ID Code: | 134251 |
Year Published: | 2020 (online first 2019) |
Web of Science® Times Cited: | 5 |
Deposited By: | TSBE |
Deposited On: | 2019-08-04 |
Last Modified: | 2022-08-29 |
Downloads: | 0 |
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