题  目：Platform-Based Function Repertoire, Reputation, and Sales Performance of E-Marketplace Sellers

主讲人：Yulin Fang (College of Business, City University of Hong Kong)

时  间：2017年6月30日 上午10:00- 12:00

地  点:同济大厦A楼206教室 

报告内容摘要

In today’s emerging and competitive e-marketplaces, sellers must take competitive actions to improve their sales performance. E-marketplace platform operators offer sellers a portfolio of platform-based functions that are intended to enhance competitiveness. However, little is known about how these platform-based functions can be used at the repertoire level to improve the sales performance of e-marketplace sellers. Extending competitive repertoire theory to the e-marketplace context and integrating it with the e-commerce literature on reputation, we posit that a seller could improve sales performance by using these functions as a repertoire, featuring such structural characteristics as large volume, high complexity, and heterogeneity. We also posit that the performance impact of this repertoire approach to function use varies depending on seller reputation, manifested as customer ratings. We empirically examined the hypotheses with a unique longitudinal dataset consisting of 43,992 seller-week observations from Taobao, one of the largest e-marketplaces in the world. Our analyses yield a set of interesting findings that unveil more nuanced theoretical relationships between different structural characteristics of the platform-based function repertoire and sales performance under different levels of seller reputation. We elaborate on how these findings contribute to the e-marketplace literature in the information systems field and the competitive action research in the strategy field. We also discuss implications for practice and make suggestions for future works. 

Keywords:Competitive action; reputation; performance; e-marketplace; platform-based function 

报告人简介

Dr. Yulin Fang is an Associate Professor in Information Systems at City University of Hong Kong. He received his Ph.D. at Richard Ivey School of Business, The University of Western Ontario in Canada. He is currently serving as a Senior Editor for Information Systems Research and Information Systems Journal. He was an Associate Editor for several leading journals, including MIS Quarterly, Information Systems Research, Information Systems Journal, and Information Technology & People. He was awarded the Associate Editor of the Year at Information Systems Research in 2015. 

Dr. Fanghas published over 40 research articles in renowned management and information systems journals, including Strategic Management Journal (SMJ), Journal of Management Studies (JMS), Organizational Research Methods (ORM), MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems (JAIS), among others. His research on open source software communities won the 2009 Senior Scholars Best IS Publication Award by the Association for Information Systems (AIS). His research on intra/inter-firm knowledge transfer in multinational enterprises was a finalist for the Samsung Best Paper Award and the Carolyn Dexter Award at the Academy of Management (AOM).

Dr. Fangis also a professional case writer, having developed business cases for major technology and financial corporations operating in emerging markets, such as Alcatel China, Google China, Tencent, HK Stock Exchange, and HK Airport.