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

Uttara Jangbahadur (Independent Alliance, Pithoragarh, India)
Sakshi Ahlawat (Department of Finance and Commerce, SRM University - Delhi NCR, Sonipat, India)
Prinkle Rozera (Department of Commerce, Kurukshetra University, Kurukshetra, India)
Neha Gupta (Department of Management, Bharti Vidyapeeth, Pune, India)

Evidence-based HRM

ISSN: 2049-3983

Article publication date: 7 May 2024

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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

Citation

Jangbahadur, U., Ahlawat, S., Rozera, P. and Gupta, N. (2024), "The effect of AI-enabled HRM dimensions on employee engagement and sustainable organisational performance: fusion skills as a moderator", Evidence-based HRM, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EBHRM-02-2023-0038

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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