Employee Well-being as a Competitive Edge: HR Interventions in High Stress Industries

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Geeta Rani
.Rita Shokeen, Ankur Tayal
Abhilasha Singh

Abstract

Even though employee well-being is now at the core of human resource management (HRM) discussion, the idea that well-being is a source of competitive advantage is not well developed or widely substantiated, especially in sectors that are prone to chronic, structurally embedded strain. This paper proposes a conceptual framework on how Well-being becomes a strategic asset rather than a welfare provision in high-stress occupations like healthcare, aviation, emergency, extraction/construction, financial trading or always-on technology occupations. Building on the integration of job demands-resources theory, conservation of resources theory and the resource-based and dynamic-capabilities perspectives of the firm, we develop the Well-being Capability Cascade (WBCC): a five-stage model that connects the proposed HR well-being architecture with experienced HR well-being, to the pool of HR resources, to the reliability and adaptive capacity of operations, and lastly to the advantage that is difficult to imitate, due to having a causal ambiguity, a social complexity and a path dependency. Seven propositions are inferred, a three-by-three typology of interventions by prevention level, and locus of action are presented, and boundary conditions for the primacy of primary (demand-side) interventions over secondary and tertiary ones are specified. As credible effect estimates for this relationship require primary data that is not gathered in this paper, we refrain from reporting invented statistics, providing instead a clear and reproducible simulation harness to formalise the resource-stock dynamics implied by this model, and a measurement and estimation template with placeholder notation that can later be filled in by empirical data. The paper provides a theoretically grounded response to the "when" (not "if") question of well-being paying and a framework for HR practitioners to use for prioritizing scarce intervention dollars in contexts where strain can't be eliminated entirely.

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