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 Type:	Refereed Article
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:	1
Deposited By:	TSBE
Deposited On:	2019-08-04
Last Modified:	2020-11-23
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