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Integrating dynamics and agency: A mechanism for HR to enhance sustainable employee wellbeing for the common good

  • Rachel Nayani*
  • , Olga Tregaskis
  • , Roberta Fida
  • , David Watson
  • , Marinella Paciello
  • , Kevin Daniels
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

It is widely accepted that employee wellbeing is a pressing concern for HRM. Poor workplace wellbeing bears substantial societal costs; it is one of the roots of grand challenges of wellbeing and decent work. Enhancing sustainable employee wellbeing is therefore a way for HRM to contribute to the common good (CGHRM). There is a lack of understanding of how to practice CGHRM. Furthermore, existing HRM/wellbeing models lack attention to employee agency and fail to fully reflect the dynamics of the workplace. As such, their explanatory value is limited. To address this gap, drawing on Social Cognitive Theory (SCT) as a middle-range theory and incorporating insights from multi-disciplinary research, we provide a theoretically grounded account of the explanatory mechanism of reciprocal determinism through which a HRM system of practices shapes sustainable employee wellbeing. Our framework highlights the interplay between the theorized causal mechanisms, CGHRM values and principles and an HRM system of practices, offering a dynamic, socially embedded, and agentic explanation. An applied example of a CGHRM system of practices for wellbeing illustrates the theorized mechanism. Our conceptualization and framework underscore the benefit of middle-range theorizing and a focus on explanatory mechanisms, which are largely overlooked in HRM research to date. We further suggest that middle-range theorizing can advance the field and help bridge the “knowing-versus-doing-gap”.
Original languageEnglish
Article number101164
Number of pages13
JournalHuman Resource Management Review
Volume36
Issue number4
Early online date14 Jun 2026
DOIs
Publication statusE-pub ahead of print - 14 Jun 2026

Bibliographical note

Copyright © 2026 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license
( https://creativecommons.org/licenses/by/4.0/ ).

Data Access Statement

No data was used for the research described in the article.

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