您好,欢迎访问东北财经大学管理科学与工程学院!(请使用IE8及以上浏览器访问,360浏览器请开启极速模式) English| 中文| 加入收藏

电子商务系列研讨会之十一—Platform-Based Function Repertoire, Reputation, and Sales Performance of E-Marketplace Sellers

    为进一步深入学术交流,增进学术氛围,应电子商务系邀请,大连理工大学管理与经济学部李慧芳老师将于2017年11月22日来我院进行学术交流,并作题为“Platform-Based Function Repertoire, Reputation, and Sales Performance of E-Marketplace Sellers”的报告。欢迎感兴趣的教师及研究生参加。
 
人:李慧芳
会议时间:2017年11月22日(周三)10:00-11:30
会议地点:劝学楼425
 
【报告简介】
    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.
 
【报告人简介】
    Huifang LI is an assistant professor in the Department of Information Management and Information Systems at Dalian University of Technology (DUT). Huifang got her PhD degree in management science and engineering from University of Science and Technology of China (USTC) in 2015. Her research interests cover competitive dynamics in e-marketplace, search engine marketing, and individual impression management in social network. Her researches have been published in Information Technology & People, Proceedings of Pacific Asia Conference on Information Systems (PACIS) 2012, and Proceedings of International Conference on Information Systems (ICIS) 2013 and 2015. The PACIS 2012 paper was nominated for the Best Paper Award. She got the nomination for Doctoral Consortium of PACIS 2013 and the National Scholarship for Doctoral Student offered by the Ministry of Education of China in the same year. Besides, her dissertation proposal on e-marketplace sellers' competitive actions got the 1st prize of International Association for Chinese Management Research (IACMR)  Li Ning Dissertation Proposal Grants in 2014. Before studying for her PhD, she worked in China’s leading search engine provider, Baidu Inc. to support business product marketing.

撰稿:宋晓龙        审核:刘德海            单位:管理科学与工程学院