Original Research

Work–home interference: Examining socio-demographic predictors in the South African context

Marissa de Klerk, Karina Mostert
SA Journal of Human Resource Management | Vol 8, No 1 | a203 | DOI: https://doi.org/10.4102/sajhrm.v8i1.203 | © 2010 Marissa de Klerk, Karina Mostert | This work is licensed under CC Attribution 4.0
Submitted: 16 March 2009 | Published: 15 April 2010

About the author(s)

Marissa de Klerk, North-West University, South Africa
Karina Mostert, North-West University, South Africa


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.


work–home interference; home–work interference; socio-demographic characteristics; occupation; age; marital status; parental status; education; gender; language


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