Meeting Time：2022/12/5 9:30-10:00

VOOVmeeting:157-564-411

Speaker:Prof. Bo Xu

Prof. Bo Xu is Associate Professor at School of Management, Fudan University, China. He received the Ph.D. degree in Management Information Systems from Texas Tech University, USA. His research interests include artificial intelligence applications, electronic commerce, and open innovation He has published over thirty research papers in IS and marketing journals, including Decision Support Systems, Information systems Journal, Information & Management, European Journal of Information Systems, Journal of the Academy of Marketing Science, Journal of Business Research, Database for Advances in Information Systems, Journal of Database Management, International Journal of Human-Computer Interaction, Electronic Markets, and so on. He was principal investigator of research projects funded by National Natural Science Foundation and National Social Science Foundation of China. Prof. Xu teaches MIS courses at graduate and undergraduate levels and received teaching excellence award from School of Management, Fudan University.

Abstract:Can Artificial Intelligence (AI) technologies assist human managers with managing employees toimprove employees’ performance? While AI’s superior data abilities may enable managers to use largeamounts of data to produce accurate employee performance evaluations, not all human managers stand tobenefit equally from this assistance. We argue that managers who develop stronger interpersonalrelationships with employees, as demonstrated by stronger transformational leadership are able to use AI generatedinformation to improve employee performance to a greater extent than the managers who haveweaker interpersonal relationships with employees, as captured by a greater extent of transactionalleadership. This impact is primarily driven by employees’ greatest trust in and the highest willingness toadopt the feedback that is generated by AI and conveyed by transformational managers. We provideempirical evidence from mixed methods: A randomized field experiment conducted in a large fintechcompany to demonstrate causal effects on employee performance, and semi-structured interviewsconducted with employees to generate in-depth qualitative insights into the underlying mechanisms. Thefindings offer useful implications for effective adoption of AI technologies in managing organizations toimprove employee performance. These insights are particularly relevant for designing AI-manager teamsthat create greater complementarity between machines and humans to increase the effectiveness ofmanagement during the fourth industrial revolution of AI automation.