THE ROLE OF ANALYTICS AND ARTIFICIAL INTELLIGENCE AT THE WORKPLACE IN ENHANCING EMPLOYEE ENGAGEMENT MEDIATED BY EMPLOYEE TRUST AND AGE

Abstract

Objective: This article aims to develop a multifaceted model that incorporates artificial intelligence into human resource procedures and organizations, to analyse its impact on employee engagement leading to organization performance mediated by employee trust in artificial intelligence technology, moderated by age.

Methodology: A sample of 238 working professionals and human resource experts across India participated in the study. The paradigms of the model embrace several sides of artificial intelligence incorporation within the elements and activities at the organization, these include, organizational culture, leadership, and the reduction of employee workloads. The modelling and data analysis were conducted using the partial least squares structural equation modelling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) technique.

Findings: The verdicts demonstrate that AI-supported in maintaining organizational culture, leadership, and reducing staff workloads all had a positive outcome on employee engagement leading to a substantial impact on organizational performance and employees trust in technology plays a significant impact.

Originality/Value: This study first tackles significant issues about the application of AI and analytics in the workplace and how it affects employee engagement. Second, by adding employee age and trust in AI as novel drivers of employee engagement that lead to organizational motivation and performance, study adds to the body of literature already in existence while offering novel and innovative insights. Finally, by combining linear (PLS) and nonlinear (fsQCA) procedures, the study makes a significant methodological addition.