Examines the link between HRM practices and wellbeing in engineers and healthcare professionals, suggesting new management approaches.
Purpose Engineers and healthcare professionals perceive higher levels of stress compared with the general population, suggesting that past human resource management (HRM) systems have failed to manage them appropriately. This study examines whether psychosocial safety climate (PSC) acts as a psychological conduit in translating HRM practices and mediating their impact on wellbeing using the common good HRM (CGHRM) and Conservation of Resources theoretical frameworks. Design/methodology/approach Data were collected using surveys collected at two points – one-month apart, and then analysed using structural equation modelling (Analysis of Moment Structures) to manipulate survey data from 300 matched employees. Findings The variance of selective HRM practices and PSC explains approximately 40 per cent of employees’ wellbeing, and comparatively, the impact of HRM and PSC on wellbeing was similar, with both cohorts perceiving workplaces that are far from the ideal CGHRM model. Research limitations/implications Only two types of professionals in one country were examined, suggesting scope for expanding research across employee types and countries. Practical implications Traditional HRM models are no longer appropriate for managing professionals. Organisations should consider implementing CGHRM that assumes HR practices and subsequent management decision-making (PSC) aim to achieve employee “good health and wellbeing”. Social implications Employees with low wellbeing have a greater propensity to develop stress-related disease, which negatively impacts them, their families and the communities in which they live. Originality/value The gaps addressed include using PSC as a psychological mechanism, linking sustainable HRM processes and employee wellbeing and also identifying the similarities and differences in workplace conditions of two different professional groups compared with the ideal CGHRM scenario.
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Brunetto et al. (2026) studied this question.
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