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      Examining the effects of workplace well-being and high-performance work systems on health harm: a Sustainable HRM perspective

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      Society and Business Review
      Emerald

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          Abstract

          Purpose

          This paper aims to provide an empirical investigation into the mediating role of high-performance work systems (HPWS) on health harm (HH). The study also examines the negative moderated role of workplace well-being (WW) and its indirect effect on work intensification (WI) and HH. The paper highlights the implications of the HH on individuals, organizations, families and societies and recognizes the need for sustainable human resource management (HRM) practices that drive employee well-being, thereby reducing the HH. More importantly, the study extends the understanding of sustainable goals through sustainable HRM.

          Design/methodology/approach

          Data was collected using four established scales. The data collected from 324 executives were analyzed using the SPSS 25.0 Version and AMOS 21.0.

          Findings

          The study results confirmed that WW practices reduce the adverse effects arising out of HPWS and WI. The results proved that WI is positively related to HH, and that WW moderates the relationship between HPWS and HH such that HPWS is more positively associated with HH when the WW is low compared to when WW is high.

          Research limitations/implications

          The data were collected from executives working in Information Technology (IT) organizations in India. The findings and the implications may not be generalized to other industries, as the data is collected from IT professionals.

          Practical implications

          The study highlights the need for organizations to develop sustainable HRM practices to minimize the HH of work. Organizations should implement well-being interventions and develop activities that promote an individual’s mental and physical well-being alongside limiting work intensity.

          Originality/value

          HRM Literature reveals the positive effect of HPWS that it engages employees to achieve a competitive advantage to the firm. However, this study examines and empirically proves the negative impact of HPWS on employee health and well-being.

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          Most cited references127

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          SPSS and SAS procedures for estimating indirect effects in simple mediation models

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            The job demands-resources model of burnout.

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              Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions.

              This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated mediation and describe approaches for estimating and testing a variety of hypotheses involving conditional indirect effects. We introduce standard errors for hypothesis testing and construction of confidence intervals in large samples but advocate that researchers use bootstrapping whenever possible. We also describe methods for probing significant conditional indirect effects by employing direct extensions of the simple slopes method and Johnson-Neyman technique for probing significant interactions. Finally, we provide an SPSS macro to facilitate the implementation of the recommended asymptotic and bootstrapping methods. We illustrate the application of these methods with an example drawn from the Michigan Study of Adolescent Life Transitions, showing that the indirect effect of intrinsic student interest on mathematics performance through teacher perceptions of talent is moderated by student math self-concept.
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                Author and article information

                Journal
                Society and Business Review
                SBR
                Emerald
                1746-5680
                1746-5680
                November 16 2020
                January 21 2021
                November 16 2020
                January 21 2021
                : 16
                : 1
                : 71-93
                Article
                10.1108/SBR-03-2020-0033
                3b42f539-a86c-44e7-92c8-d23116262619
                © 2021

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