A green human resource management approach of participation in decision-making and behavioural outcomes – a moderated mediated model

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Date

2023

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Emerald Publishing

Abstract

Purpose: This study aims to assess the moderating and mediating role of supportive culture (SC) in the relationship between participation in decision-making (PDM) and job satisfaction (JS) and the dimensions of commitment, such as affective commitment (AC), normative commitment (NC) and continuance commitment (CC). Design/methodology/approach: Data were collected from 712 employees working in different public sector undertakings (PSUs) across India. Necessary condition analysis and partial least square analysis were used to test the proposed hypotheses. Findings: The findings of the present study indicated that SC is partially mediating the relationship between PDM and JS; PDM and AC. However, SC did not mediate the relationship between PDM and NC; PDM and CC. PDM was positively and significantly related to SC, JS, AC, NC and CC. JS had a significant impact on AC, NC and CC. It is highly desirable for organizations to retain their employees ranging from line managers to top management levels and provide opportunities for everyone to actively use their experience and expertise. Originality/value: The findings have implications for managers, as well as employees in PSUs, as they demonstrate how several work-related factors can be emphasized to maintain employees' commitment and motivation. Until now, India has paid scant attention to the role of SC as a mediator and moderator between PDM, JS and multiple commitments. This study cautiously collected responses from unbiased employees working in a variety of organizational functional units. © 2021, Emerald Publishing Limited.

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Keywords

Affective commitment, Continuance commitment, Decision-making, Employees, Green human resource, Job commitment, Job satisfaction, Normative commitment, Participation in decision-making, Public sector undertakings, Supportive culture

Citation

International Journal of Organizational Analysis, 2023, 31, 5, pp. 1724-1747

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