An Analysis Of Artificial Intelligence For Employee Engagement And Productivity

Abstract

Working remotely has become the norm in the modern day, elevating the significance of artificial intelligence (AI). Thus, the purpose of this research is to apply the resource-based view (RBV) to the topic of artificial intelligence (AI) and how it impacts employee engagement and productivity by investigating how employees perceive change leadership in this area. Only 359 out of 467 banking sector workers in India's West Sumatra province were eligible to participate. There is a direct correlation between AI and employee engagement (p < 0.05) and productivity (p < 0.05), as well as between employee engagement and productivity (p < 0.05), according to the partial least squares (PLS) study. “ The effect of AI on employee productivity is mediated by employee engagement (p < 0.05), but the moderating effect provided by change leadership is not significant (p > 0.05) in increasing employee productivity. These findings will help managers create a positive work environment through the application of AI, resulting in higher employee engagement and productivity. Specifically, these findings help organizations integrate AI more effectively and provide managers with a comprehensive understanding of the considerations needed to increase productivity through employee engagement for organizational competitiveness.