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Can AI Adoption architect Sustainable HRM? Investigating the Moderated Mediation role of Techno-Complexity and Self-Efficacy

Year: 2026

Type: preprint

Abstract: The current study addresses the central challenge of how organisations can manage AI-driven transformation while simultaneously sustaining employee well-being and advancing Sustainable HRM. Consequently, the study investigated the relationship between Artificial Intelligence Adoption (AIA) and sustainable Human Resource Management (SHRM) through the mediating mechanism of Job complexity (JC) and Resilience (Re) and the moderating role of Techno-Complexity (TC), Self-Efficacy (SE). The study has collected 881 data from Indian private and public sector enterprises through purposive and snowball sampling. Further, the study employed mediation and moderated mediation analysis in order to capture the associations among the variables. The result shows that AIA increases both JC (β = 0.478) and Re (β = 0.196), reflecting AI’s dual impact on job demands and adaptive capability. Further, mediation analysis reveals that JC (β = 0.208) and Re (β = 0.046) partially mediates the effect of AIA on SHRM, while the direct relationship between AIA and SHRM (β = 0.356) remains positive and significant. In addition to this, moderated-mediation results indicate that TC (β=-0.019) weakens the positive pathway from AIA to SHRM via Re, whereas SE shows no significant moderating effect. The study suggests that although AI can strengthen SHRM, simplifying system interfaces, sequencing training with technological rollout, and fostering supportive learning environments emerge as critical policy levers for ensuring that AI-enabled transformation translates into long-term sustainable HR outcomes. The current study extends the existing literature by amalgaming technological readiness (AIA, TC) and human-centric factors (SC, Re, SE) in shaping sustainable HR outcomes.

Source: Research Square

DOI: 10.21203/rs.3.rs-10689652/v1

Authors: Sugyanta Priyadarshini, Jayasmita Kuanr, Sarthak Dash, Nisrutha Dulla, Snigdharani Panda

Institutions: KIIT University, SR University, Kalinga Institute of Social Sciences

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: green

OpenAlex ID: W7204640112

Cites: 37

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Related to: 10