Replacing white-collar workers by robotic process automation: a vignette analysis on acceptability and well-being
摘要
Robots are entering the workplace at a rapid pace across various industrial sectors. The increasing presence of software robots is also affecting white-collar workers and managers. This study targets those software robots that are very accessible and that will therefore affect millions of jobs worldwide based on desktop automation, namely through a dedicated technology called robotic process automation (RPA). Although this RPA technology is receiving much attention from consultants and technical scholars, little is known about how white-collar employees would react to RPA and what their concerns would be. Based on two vignette analyses including text coding of semi-structured interviews and statistical ANOVA-based testing, this study examines employees’ acceptability and well-being across diverse RPA situations and explains these perceptions by psychological theories. The first panel focuses on RPA in general while the second panel focuses on RPA in the RPA-intensive field of human resources. The resulting RPA adoption model focuses on explaining and predicting which situations and which strategic motivations can lead to less fear or concerns for RPA, and thus higher acceptability of RPA. Overall, our data suggest that white-collar employees’ well-being is significantly higher when RPA replaces one’s routine job tasks and when RPA-robotization is implemented for intrinsic reasons, while a more varied picture appears when RPA replaces complex job tasks. The latter is especially crucial when RPA is getting more integrated with artificial intelligence, calling for balanced process automation. Our findings help organizations make strategic choices about their framing of RPA implementation and provide guidance to facilitate their technological changes.