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VOL. 13, ISSUE 1 (2026)
Behavioural disruption and workforce adaptation: A study of employee resistance and change management strategies during AI implementation in private and foreign banks based on secondary data
Authors
Brijesh Poojari, Dr. P Sanoj Kumar
Abstract
Using only Secondary data (2019 2025), this
Research Paper investigates why retail banking employees resist Artificial
Intelligence rollouts and which change management tactics most effectively
restore engagement. A systematic review of 42 bank reports, 8 consultant
whitepapers and 5 surveys show that fear of displacement, technostress and loss
of professional identity are the dominant behavioural disruptors. Midlevel
managers in foreign banks exhibit the highest resistance probability. Banks
that combined transparent ethics charters, peer champion networks and cocreated
SOPs recorded 28 % higher AI utilisation and 15 % lower regret table turn over
within 12 months. The study offers an evidence based “3A” change framework
Acknowledge anxiety, Augment roles, and Anchor ethics for use by private and
foreign banks before algorithmic deployment.
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Pages:335-336
How to cite this article:
Brijesh Poojari, Dr. P Sanoj Kumar "Behavioural disruption and workforce adaptation: A study of employee resistance and change management strategies during AI implementation in private and foreign banks based on secondary data". International Journal of Multidisciplinary Research and Development, Vol 13, Issue 1, 2026, Pages 335-336
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