AI technology adoption and intergenerational knowledge transfer among older employees

Prior research on AI technology adoption has tended to emphasize singular positive or negative impacts on specific variables. This study constructs a model that incorporates both positive and negative effects, elucidating the multifaceted mechanisms through which AI technology adoption influences intergenerational knowledge transfer and enriches research on the consequences of AI technology adoption. While existing literature often highlights negative psychological and behavioral impacts of AI technology adoption on older employees, the present findings show that AI technology adoption can significantly enhance intergenerational knowledge transfer among older employees, thereby complementing current findings. Finally, by adopting a configurational thinking, this study identifies multiple pathways through which various factors affect intergenerational knowledge transfer, providing a useful complement to single-factor analyses of AI technology adoption's impact. Thereby, the study offers practical insights for organizations seeking to develop inclusive technological-culture strategies.