The effect of AI-enabled HRM dimensions on employee engagement and sustainable organisational performance: fusion skills as a moderator

Uttara Jangbahadur, Sakshi Ahlawat, Prinkle Rozera and Neha Gupta

Evidence-based HRM, 2024, vol. 13, issue 1, 85-107

Abstract: Purpose - This paper examines and empirically validates the artificial intelligence-enabled human resource management (AI-enabled HRM) dimensions and sustainable organisational performance (SOP) relationship. It also examines the mediation and moderation of employee engagement (EE) and fusion skills (FS). Design/methodology/approach - The indirect effects of AI-enabled HRM dimensions on SOP were found using structural equation modelling (SEM), bootstrapping and FS’s moderation effect by AMOS 22. Findings - Results showed that AI-enabled HRM dimensions indirectly affected SOP through EE as a full and partial mediator with no moderation effects of FS. Originality/value - This is the first study to link AI-enabled HRM dimensions, EE and SOP and determine how FS moderates EE and SOP.

Keywords: Fusion skills; AI-Enabled HRM; Employee engagement; Sustainable organisational performance (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ebhrmp:ebhrm-02-2023-0038

DOI: 10.1108/EBHRM-02-2023-0038

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