Navigating the human-artificial intelligence collaboration landscape: Impact on quality of work life and work engagement

Abstract

Artificial intelligence (AI) systems are progressively exerting an influence on hotel employees. Drawing on self-determination theory, we proposed a model to explore how human-AI collaboration affects hotel employees' quality of work life and work engagement. To investigate research hypotheses, we analyzed two-wave data from 475 hotel employees who regularly collaborate with AI in their daily tasks. Our findings indicate that human-AI collaboration positively affected work engagement by meeting employees’ basic needs of quality of work life and growth needs of quality of work life. Moreover, we discovered that person-job fit strengthened above relationship. Theoretical and practical implications are discussed to provide additional insights.