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Electronic Commerce Research

, Volume 19, Issue 4, pp 823–840 | Cite as

Consumer’s risk perception on the Belt and Road countries: evidence from the cross-border e-commerce

  • Jianping Li
  • Yinhong Yao
  • Yuanjie Xu
  • Jingyu Li
  • Lu Wei
  • Xiaoqian ZhuEmail author
Article
  • 636 Downloads

Abstract

Understanding consumer’s risk perception on the Belt and Road (B&R) countries is important for the development of cross-border e-commerce (CBEC) along these countries. However, most of the extant studies cannot properly analyze consumer’s risk perception due to the limited data collected by questionnaires. Therefore, this study proposes a text-mining-based framework to study consumer’s risk perception on the B&R countries based on massive textual online reviews collected from CBEC. In the proposed framework, the Latent Dirichlet Allocation model and sentiment analysis method are used to identify the main risk factors affecting consumer’s risk perception and calculate their sentiment score, the risk perception indicator is constructed to measure the magnitude of consumer’s risk perception. In the experiment, totally 66,661 reviews of the representative products from nine B&R countries are collected from Tmall Global. Six major risk factors are identified, and consumer’s risk perception on nine B&R countries is given.

Keywords

Risk perception Cross-border e-commerce (CBEC) Textual online reviews Latent Dirichlet Allocation (LDA) Sentiment analysis 

Notes

Acknowledgements

This study was supported by grants from the National Natural Science Foundation of China (71601178,71425002) and the Youth Innovation Promotion Association of Chinese Academy of Sciences (2012137, 2017200). We sincerely thank the editor and reviewers for their very valuable and professional comments.

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Jianping Li
    • 1
    • 2
  • Yinhong Yao
    • 1
    • 2
  • Yuanjie Xu
    • 1
    • 2
  • Jingyu Li
    • 1
    • 2
  • Lu Wei
    • 1
    • 2
  • Xiaoqian Zhu
    • 1
    Email author
  1. 1.Institutes of Science and DevelopmentChinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina

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