Artificial intelligence-based virtual assistant and employee engagement: an empirical investigation

By Debolina Dutta, Sushanta Kumar Mishra
Personnel Review | April 2025

DOI

https://doi.org/10.1108/PR-03-2023-0263

Citation

Dutta D, Mishra SK (2025), "Artificial intelligence-based virtual assistant and employee engagement: an empirical investigation". Personnel Review, Vol. 54 No. 3 pp. 913–934, doi: https://doi.org/10.1108/PR-03-2023-0263

Copyright

Personnel Review, April 2025

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Abstract

Purpose

Scholars have highlighted personal interactions between employees and their leaders in an increasingly distributed and hybrid work environment as an essential mechanism that engages employees toward organizational goals. Enhanced employee engagement significantly contributes to sustained organizational performance and growth. While Artificial Intelligence (AI) applications in the HR domain are increasing, research to understand the implication of AI-based virtual assistants on enabling trust and managing human resources is, at best, limited.

Design/methodology/approach

Drawing on the social response theory and the social exchange theory, and based on a multi-source, time-lagged field study spanning over ten months, we investigated the impact of AI-based virtual assistants on employee attitudes, namely perception of fairness and employee engagement.

Findings

The usage of AI-based virtual assistants is associated directly with employee engagement and indirectly through employees’ perceptions of fairness. While employees’ past performance moderates the relationship between perceived fairness and employee engagement, the interaction effect becomes non-significant with AI-based virtual assistants.

Research limitations/implications

Our study contributes to the emerging literature on AI-based virtual assistants in HRM and employee engagement. The virtual assistants’ use to enhance employee engagement emerges as an opportunity for task substitution and augmentation. Our study demonstrates that AI-based virtual assistants can enhance employee engagement and help build perceptions of fairness among employees.

Originality/value

With the emerging importance of AI, there is an increasing interest in explaining human-computer interactions and their effect on employee engagement. Our study is among the early empirical studies examining the implications of AI-based virtual assistants on employee outcomes.

Debolina Dutta is a Clinical Professor, senior HR leader, and an ICF‑certified ACC level coach with over 30 years of industry experience and 6 years in academia. She brings deep expertise across Human Resources, Organisation Development, and Leadership Capability Building, having worked across diverse geographies and organisational contexts, including multinational corporations, private enterprises, and start‑ups.

Globally recognized for her contributions to the HR profession, Debolina has been named among the 100 Most Influential Global HR Professionals by the World HRD Congress, a Most Influential HR Leader in India, and nominated as one of the Top 16 Women Leaders. As an executive coach, she works closely with mid‑management and senior leaders on leadership transitions, personal effectiveness, and organisational change. Her work is supported by certifications in behavioral facilitation as well as expertise in psychometric tools.She has served on the Board of IIM Indore and advises organisations on talent strategies and AI-HRM adoption.

Debolina has led large‑scale organisational development and transformation initiatives spanning change management, mergers and acquisitions, HRIS implementations, and the design of structured talent and leadership frameworks, often in complex, multicultural environments. She is an alumna of IIM Indore (FPM‑Industry), IIM Bangalore, and the College of Engineering, Pune, and a published thought leader with case studies in Harvard Business Review and research articles in leading academic journals.  Through her academic, consulting, and coaching roles, she continues to shape future‑ready leaders by integrating research, practice, and coaching‑led development.

Dutta Debolina
Debolina Dutta