【2019年5月29日】【管理科学与工程系学术讲座】Performance Impact and App Continuance: A Longitudinal Study on Taxi Drivers’ Use of a Ride-Hailing App
发布时间:05-13-19

题目:Performance Impact and App Continuance: A Longitudinal Study on Taxi Drivers’ Use of a Ride-Hailing App

主讲人:Professor Daniel Qi Chen, Texas Christian University;Associate Editor of Journal of Operations Management & Decision Sciences Journal.

时间:2019年5月29日 9:00-10:30

地点:同济大厦A楼206教室

报告内容摘要

Understanding  individuals’ voluntary information systems (IS) continuance behavior is of vital importance to advance the IS use literature. Drawing upon the perspective of goal-directed behavior, this paper proposes a new theoretical model of Use-Performance-Continuance (UPC) in the context of taxi drivers’ use of a ride-hailing app to reconcile two seemingly opposite views (intentional and habitual) popular among existing IS continuance literature.  Specifically, we clarify that habitual use of IS is directed by a dormant goal to improve task performance. The UPC model also highlights the roles of environmental cues to amplify or attenuate the relationship between app use and task performance.  We tested the model with a longitudinal panel data set collected from multiple sources regarding 305 taxi drivers’ earnings and their use of a leading ride-hailing app in China, Didi Chuxing, for 9 months. Data analyses with seemingly unrelated regression models reveal that: (1) the use of the ride-hailing app positively affect taxi drivers’ performance in terms of monthly earning; (2) the impacts of app use on monthly earning vary across drivers (of different age and driving experience) and task environment (day or night shift); (3) monthly earning has a positive effect on continued app use; (4) in addition, besides significantly leading to continued app use, app use discounts the effect of monthly earning on continued app use. Theoretical and practical implications are discussed.  

报告人简介

Daniel Qi Chen is a Full Professor in the Department of Information Systems and Supply Chain Management of the M.J. Neeley School of Business at Texas Christian University, U.S.A. He received his Ph.D. in Business Administration from the University of Georgia and also holds an M.B.A degree from Washington University in St. Louis. Professor Chen has combined years of industrial experiences in entrepreneurship, supply chain management, and management consulting in U.S.A. and China before entering the academic field. 

Professor Chen’s research addresses the overall question of how information systems (i.e.,technological and human resources) can improve organizational decision making at both the strategic and operational levels. In particular, his interests lie across the areas of Strategic Management, Supply Chain Management, and IT-enabled Innovation Management, including the topics of strategic impacts of organizational resources, supply chain integration and innovation, the role and value of IS leadership especially at the CIO level. His research has appeared or is forthcoming in numerous premier management journals such as Decision Sciences Journal, Decision Support Systems, Journal of Management Information Systems, Journal of Operations Management, Journal of Strategic Information Systems, IEEE Transaction on Engineering Management, MIS Quarterly, MIS Quarterly Executive, among others. 

Dr. Chen is an Associate Editor of Decision Sciences Journal and Journal of Operations Management. He also serves on the editorial board of IEEE Transaction on Engineering Management.