Abstract:

Generative Artificial Intelligence (GenAI) has increasingly become an integral part of everyday life and work. Its rapid integration into day-to-day problem solving has raised concerns about technological overdependence, often leading to heightened stress and isolation, particularly among digital-native Gen Z employees. Drawing on the Probst’s framework of job insecurity and Job Demands–Resources (JD-R) theory, this study aims to examine how human–GenAI collaboration influences quiet quitting intentions among Gen Z employees. Specifically, the study seeks to understand the psychological mechanisms through which GenAI usage contributes to quiet quitting, focusing on anxiety and social isolation as mediating factors. This study adopts a mixed-methods approach comprising semi-structured interviews and a cross-sectional survey design. Data will be collected from Gen Z employees working in the hospitality industry, and Structural Equation Modeling (SEM) will be employed to test the proposed hypotheses. This study contributes to the growing discourse on the dark side of GenAI usage and offers actionable strategies for managing stress and reducing emerging trend of quiet quitting in the hospitality industry. The study pioneers in understanding how human–GenAI collaboration may trigger quiet quitting.

Please choose your submission type: Developmental Paper

Primary Track: Organisational Psychology

Keywords: Employee Health, Safety and Well Being at Work    ;Employee Attitudes and Motivations   ;Employee Response to Organisational Change   

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Ms. Rakhi Gupta