Abstract

Orientation: The focus of this study was to investigate the relationship between socio-demographic characteristics and the work–home interaction in different occupational groups in South Africa.Research purpose: The main research aim of the study was to investigate the socio-demographic predictors of negative and positive work–home interaction of South African employees.Motivation for the study: Little information is known about the prevalence of work–home interaction within groups. This study is aimed at enabling the researcher and organisations to identify those groups that are at risk of negative interference and which are prone to positive interaction, to allow for the development of appropriate strategies and intervention programmes.Research design, approach and method: A cross-sectional survey design was used in the study. A sample (N = 2040) was taken from four South African industries (i.e. the police service, the earthmoving equipment industry, mining and nursing). A socio-demographic questionnaire and the Survey Work–Home Interaction-Nijmegen (SWING) were used.Main findings: The results indicated that robust predictors included occupation, gender and language for negative work–home interference; occupation, age and language for positive work–home interference; occupation and language for negative home–work interference; and occupation, age, education and language for positive home–work interference.Practical/managerial implications: The implications of the study are that negative and positive work–home interaction is uniquely associated with socio-demographic characteristics. Work–life balance initiatives should, therefore, be carefully tailored to address the needs of each socio-demographic group.Contribution/value-add: The findings of the study suggest answers to the management of the work–home interaction among various socio-demographic groups in organisations.

Highlights

  • In modern society, two of the central and salient domains in the life of an employed individual are work and home

  • Main findings: The results indicated that robust predictors included occupation, gender and language for negative work–home interference; occupation, age and language for positive work–home interference; occupation and language for negative home–work interference; and occupation, age, education and language for positive home–work interference

  • The current study focuses on seven socio-demographic characteristics, namely: occupation, age, marital status, parental status, education, gender, and language (English, Afrikaans or a vernacular African language)

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Summary

Introduction

Two of the central and salient domains in the life of an employed individual are work and home. Such increase in demand is mainly due to advances that have occurred in the technological and telecommunications fields (in terms of portable computers, mobile phones, etc.), which have made it possible to work longer hours and to perform job-related tasks in a variety of locations (Lewis & Cooper, 2005) Such demographic and structural transformations and changes directly affects the workforce, placing more pressure on employees as they struggle with heightened worldwide competition and increasingly demanding customers in an environment that is subject to the demands of speed and cost-effectiveness (Lewis & Cooper, 2005)

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