Systematic Literature Review on the Relationship between Employee Engagement and Artificial Intelligence

This paper is a Systematic Literature Review (SLR) where we look at the complex relationship between Employee Engagement (EE) and Artificial Intelligence (AI), specifically Generative AI (GenAI) and the objectives. In this review, the study has examined 133 scholarly works, including studies based on experiments and concepts, to come up with the dynamic research landscape in this field. Outcomes indicate a steep increase in the field of research on relationship between Artificial Intelligence and Human Resource from 2016, with a significant increase on research in this area after the COVID-19 pandemic. This literature review is based on the Job Demands–Resources (JD-R) framework, analysing the increase in engagement, productivity, and satisfaction, by increasing efficiency and GenAI adoption as job resources. In parallel we also look at AI-induced technostress as a job demand that contributes to exhaustion and work–life imbalance. This study looks at how the evolution of Generative AI has helped in transforming the impression of HR from being administrative to more strategic by automating repetitive tasks, facilitating HR professionals focus on engagement of employees and building organizational culture. Employee Experience has increased over time and sustained engagement have been reinforced by useful applications of AI in areas like predictive analytics for attrition forecasting, structured learning programs and instantaneous feedback mechanisms. This review also emphasises current ethical challenges like reduction in algorithmic bias, maintenance of data transparency and privacy, and addressing employee anxieties regarding job security and trust thereby ensuring a human touch in deployment.