主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2021, Vol. 29 ›› Issue (5): 221-230.doi: 10.16381/j.cnki.issn1003-207x.2018.1271

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Can Seller Feedback Trigger High Quality Online Reviews?——Based on the Empirical Analysis of Taobao

LI Zong-wei1, ZHANG Yan-hui2, XIA Wei-wei3   

  1. 1. School of Economics and Management, Shanghai Institute of Technology, Shanghai 201418, China;
    2. Business School, East China University of Science and Technology, Shanghai 200237, China;
    3. Logistics School, Linyi University, Linyi 276000, China
  • Received:2018-09-07 Revised:2020-05-06 Online:2021-05-20 Published:2021-05-26

Abstract: High-quality online reviews bring e-store a good online reputation and increase sales. How can online sellers respond to comments to increase consumers' enthusiasm for posting comments and improve the quality of the content of reviews? The length of comments and the number of pictures are employed to measure the quality of online reviews, and a theoretical model of sellers' online review responses, e-store characteristics, and the impact of online review quality on consumer buying decisions is built. The research hypothesis is verified by collecting Taobao's transaction data. The seller's response positively affects the length of the comment and the number of photos, and the e-store star level and service ability have a mediating effect. High-quality online reviews promote consumers' buying decisions. Our findings provide practical advice for e-commerce platforms and sellers to improve business performance.

Key words: online review, seller feedback, review quality, consumer purchasing decision

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