【海外名家讲堂】“数字化管理”高端讲堂Acceptance or Resolution? Unraveling Multihoming Sellers’ Coping Strategies to Platform Information Quality Control接受还是解决?解读多卖家对平台信息质量控制的应对策略

时间:2023-06-26         阅读:

光华讲坛——海外名家讲堂

主题:【海外名家讲堂】“数字化管理”高端讲堂

Acceptance or Resolution? Unraveling Multihoming Sellers’ Coping Strategies to Platform Information Quality Control接受还是解决?解读多卖家对平台信息质量控制的应对策略

主讲人:哥本哈根商学院 陈致玮(Chee-Wee Tan)教授

主持人:工商管理学院 陈扬教授

时间:6月28日 10:30-12:00

举办地点:柳林校区通博楼111

主办单位:工商管理学院 国际交流与合作处 科研处

主讲人简介

Chee-Wee Tan is a Professor at the Department of Digitalization in Copenhagen Business School (CBS), an Honorary Professor of Business Analytics and Digitalization at the Nottingham University Business School China in the University of Nottingham Ningbo China (UNNC), an Adjunct Professor at the School of Business in Monash University, a Distinguished Research Scholar at the Faculty of Business in Lingnan University (LNU), a Guest Professor at the School of Management in the University of Science and Technology of China (USTC), and a Visiting Professorial Fellow at the School of Information Systems and Technology Management in University of New South Wales (UNSW). He received his Ph.D. in Management Information Systems from the University of British Columbia. His research interests focus on design and innovation issues related to digital services. His work has been published in leading peer-reviewed journals such as MIS Quarterly (MISQ), Journal of Operations Management (JOM), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), and the Journal of the Association for Information Systems (JAIS) among others. Apart from his current appointment as a Senior Editor for MISQ, Chee-Wee has served or is currently serving on the editorial boards for ACM Distributed Ledger Technologies: Research and Practice (DLT), DSS, EJIS, Industrial Management & Data Systems (IMDS), IEEE Transactions on Engineering Management (IEEE-TEM), Information & Management (I&M), Information Systems Journal (ISJ), Internet Research (IntR), Journal for the Association of Information Systems (JAIS), Journal of Computer Information Systems (JCIS), Journal of Management Analytics (JMA), and JMIS. Finally, Chee-Wee is the co-director of the joint research center between CBS and the Antai College of Economics and Management (ACEM) in Shanghai Jiao Tong University (SJTU) as well as the Vice President of Publications for the Association of Information Systems (AIS).

陈致玮教授是哥本哈根商学院数字化系教授,宁波诺丁汉大学商学院中国区商业分析与数字化荣誉教授,莫纳什大学商学院兼职教授,岭南大学商学院杰出研究学者,中国科学技术大学管理学院客座教授,澳大利亚新南威尔士大学信息系统与技术管理学院客座教授。他在英属哥伦比亚大学获得管理信息系统博士学位。他的研究兴趣集中在与数字服务相关的设计和创新问题。他的论文发表在领先的同行评审期刊上,如MIS季刊(MISQ)、运营管理杂志(JOM)、信息系统研究(ISR)、管理信息系统杂志(JMIS)和信息系统协会杂志(JAIS)等。除了担任MISQ的高级编辑之外,陈致玮教授曾经或目前在ACM Distributed Ledger Technologies编委会任职:《研究与实践》(DLT)、《DSS》、《EJIS》、《工业管理与数据系统》(IMDS)、《IEEE工程管理汇刊》(IEEE-TEM)、《信息与管理》(I&M)、《信息系统学报》(ISJ)、《互联网研究》(IntR)、《信息系统协会学报》(JAIS)、《计算机信息系统学报》(JCIS)、《管理分析》(JMA)和《JMIS》。此外,陈致玮教授是CBS和上海交通大学(SJTU)安泰经济与管理学院(ACEM)联合研究中心的联合主任,也是信息系统协会(AIS)出版部副主任。

内容简介:

To mitigate sellers’ misinformation on e-marketplace platforms, platform owners impose information quality control to ensure authenticity of information presented to consumers. Although information quality control is conducive to bolstering the credibility of information on platforms, it may encourage sellers to pursue multihoming strategy on other platforms, thereby undermining the attractiveness of the platform implementing information quality control (“focal platform” thereafter). This study aims to investigate how sellers cope with information quality control imposed by platforms. To validate our hypotheses, we collected data from two dominant e-marketplace platforms in China. Based on quasi-experimental design, we employed propensity score matching and difference-in-difference methods to analyze our data. Findings from this research can be utilized by multihoming sellers and platform owners to guide their multihoming strategies in the context of platform competition.

为了减少卖家在电子市场平台上的错误信息,平台所有者实行信息质量控制,以确保呈现给消费者的信息真实性。尽管信息质量控制有利于提高平台信息的可信度,但它可能会鼓励卖家在其他平台上采取多头策略,从而削弱实施信息质量控制的平台的吸引力。本研究旨在研究卖家如何应对平台实施的信息质量控制。为了验证我们的假设,我们从中国两个主要的电子市场平台收集了数据。在准实验设计的基础上,我们采用了倾向性评分匹配和DID法来分析我们的数据。本研究的结果可供多头卖家和平台所有者利用,以指导他们在平台竞争背景下的多头策略。