Analysis of launch strategy in cross-border e-Commerce market via topic modeling of consumer reviews

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

23 Scopus Citations
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Author(s)

  • Feifei Wang
  • Yang Yang
  • Geoffrey K. F. Tso
  • Yang Li

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)863–884
Journal / PublicationElectronic Commerce Research
Volume19
Issue number4
Online published23 Jul 2019
Publication statusPublished - Dec 2019

Abstract

Spurred by the policy of China’s Belt and Road Initiative, Chinese e-Commerce companies have found great opportunities in selling goods overseas. The cross-border e-Commerce shares similarities of launch and marketing strategies with domestic e-Commerce, but also has substantial differences. How to make strategic adjustments to better adapt to the overseas market is of great concern to cross-border e-Commerce companies. Analyzing behaviors of overseas consumers could offer an effective way to address this issue and has attracted great interest of researchers. Consumer comments, cheap and abundant by its nature, provides an easy access for analysis of consumer behaviors. In this paper, we focus on consumer reviews of a specific product, the cellphones, and apply topic modeling techniques to investigate the differences between behaviors of domestic and overseas consumers. We find that consumers from domestic and overseas focus on different aspects of product. In addition, the foreign consumers care more about product quality and tend to make description of technique details. On the contrary, domestic buyers pay more attention on consumer services and intend to comment in generalities. All these findings could help e-Commerce companies design better launch strategies in cross-border e-Commerce market.

Research Area(s)

  • Consumer behavior, Consumer reviews, Cross-border, e-Commerce, Regularized regression, Topic models

Citation Format(s)

Analysis of launch strategy in cross-border e-Commerce market via topic modeling of consumer reviews. / Wang, Feifei; Yang, Yang; Tso, Geoffrey K. F. et al.
In: Electronic Commerce Research, Vol. 19, No. 4, 12.2019, p. 863–884.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review