嘉　宾：Oliver Ranyi Wei  博士生候选人 Hong Kong University of Science and Technology

主持人：房思含 助理教授 上海交通大学安泰经济与管理学院

时　 间：2025年12月2日（周二）13:30-15:00

地　 点：上海交通大学徐汇校区安泰楼A305

内容简介:

Livestreaming e-commerce (LEC) is transforming online shopping by enhancing consumer experiences and boosting sales. However, should retailers adopt LEC solely based on its potential for sales growth? This study examines the impact of introducing LEC on consumer purchases and product returns by comparing it to traditional e-commerce (TEC). Extending the tri-processing theory to the LEC context and integrating it with the LEC and channel introduction literature, we examine the impact of LEC exposure beyond consumers‘ purchasing to product returns behaviors. We leverage a novel dataset from a leading retailer in China that adopted LEC in July 2017. Employing difference-in-differences (DID), regression discontinuity in time (RDiT), and instrumental variable (IV) estimation approaches, our findings reveal that LEC increases sales by 95% in value and 111% in quantity. However, it also results in an 86% increase in the value of returns and a 50% increase in return frequency. Notably, most returns occur at the pre-shipping stage. We further identify consumers‘ self-control failure as a critical moderator of tri-processing theory, indicating that consumers lacking self-control are less likely to correct their purchase decisions early. Furthermore, we find that increased product returns at the pre-shipping stage are associated with more negative emotions compared to returns in the post-shipping stage. Finally, we analyze how LEC disrupts retailers' cost structures related to each return stage. Our research contributes to tri-processing theory by applying it to a multi-stage decision-making context in online shopping and highlighting self-control as an important moderator for activating Type 3 processing. Our work provides valuable guidelines for retailers and platforms considering the adoption of LEC

演讲人简介：

Oliver Ranyi Wei is a Ph.D. candidate at the Hong Kong University of Science and Technology. His research centers around the unintended consequences of nascent technology, with a particular focus on GenAI and livestreaming e-commerce. His research has been awarded the Best Student Paper at leading IS conferences, such as the Workshop on Information Systems and Economics (WISE). Before his Ph.D. journey, he was a successful entrepreneur in livestreaming e-commerce. His research and entrepreneurial ventures have been widely covered by major media outlets, including People‘s Daily, Tencent News, and others.

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