Abstract

Orientation: The study of work stressors, job insecurity and union support creates opportunity for iron ore mining organisations to manage job satisfaction and safety motivation and behaviour more effectively. Research purpose: The objective of this study was to investigate the relationship between work stressors, job insecurity, union support, job satisfaction and safety motivation and behaviour of a sample of iron ore mine workers in South Africa.Motivation for the study: The mining industry in general is often faced with hazardous and physically demanding working environments, where employees work under constant pressure. Work stressors, job insecurity, union support and job satisfaction are considered key variables when investigating effective means of managing safety.Research design, approach and method: A cross-sectional survey design was utilised to collect the data. A convenience sample of employees in the iron ore mining industry of South Africa (N = 260) were included. Structural equation modelling and bootstrapping resampling analysis were used to analyse the data.Main findings: Work stressors and job insecurity were found to be negatively associated with job satisfaction. Conversely, perceived union support was positively associated with job satisfaction and safety motivation and behaviour. Furthermore, job satisfaction mediated the relationship between union support and safety motivation and behaviour.Practical/managerial implications: Mining organisations can, by placing the focus on reducing work stressors, and promoting job security and union support, achieve higher levels of safety motivation and behaviour through job satisfaction.Contribution/value-add: A great deal of independent research on work stressors, job insecurity, union support, job satisfaction as well as safety motivation and behaviour has already been done. To date, very little empirical research exists that simultaneously considers all these constructs. This study brought together these lines of research.

Highlights

  • South Africa is one of the world’s leaders in the mining industry, known for its rich mineral resources, and contributing significantly to both world production and reserves

  • The following values were generated for the considered fit indices: Comparative Fit Index (CFI) (0.93), Tucker-Lewis Index (TLI) (0.93), and Root-Mean-Square Error of Approximation (RMSEA) (0.06)

  • The results of the structural model revealed that this model fitted the data well: CFI (0.91), TLI (0.90) and RMSEA (0.07)

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Summary

Introduction

South Africa is one of the world’s leaders in the mining industry, known for its rich mineral resources, and contributing significantly to both world production and reserves. The mining industry of South Africa is a dominant force globally and locally a large contributor to GDP. In 2012, the mining industry contributed R 468 billion to South Africa’s economy, accounting for over 16% of the formal sector employment (Kumo, Rielander & Omilola, 2014). It is evident that mining plays a pivotal role in the South African economy. Of concern is the poor safety record and number of fatalities within the South African mining industry. Even though an improvement in the fatality rate has been evident over the last couple of years, mining is still regarded as one of the most dangerous and hazardous occupations in South Africa (Le Roux, 2005; Paul & Maiti, 2005)

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