Understanding Generative AI Usage Behavior in the Workplace

Abstract

As generative AI becomes more integrated into organizational workflow, comprehending the mechanisms that promote its continued utilization by employees has become essential for management. This study investigates the factors influencing organizational members' usage behaviors of generative AI in the workplace, incorporating perceived security and perceived risk into the expectation–confirmation model. Moreover, this study identifies the moderating effects of premium subscription on employees' continuance decision-making. The theoretical framework was evaluated using data from 193 organizational members. The results reveal that perceived security exhibits no significant direct effects on satisfaction or continuance intention. Perceived risk negatively impacts generative AI use, user satisfaction, perceived usefulness, and perceived security, yet does not directly influence continuance intention. Premium subscription significantly enhances the relationship between continuance intention and generative AI use, while mitigating the adverse effect of perceived risk on generative AI use.