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Online shopping green product quality supervision strategy with consumer feedback and collusion behavior

Author

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  • Hui He
  • Lilong Zhu

Abstract

With the development of e-commerce, online shopping has become one of the most important consumer channels. However, the lack of government supervision, insufficient review of e-commerce platforms, illegal sales of online sellers and invalid consumer complaints have led to frequent green product quality problems during online shopping. Therefore, this paper considers that the online seller may be driven by interests, colluding with the e-commerce platform and selling low quality green product. At the same time, we introduce consumer feedback, and take the government supervision department, the online seller and the e-commerce platform as actors of the evolutionary game. In this paper, the evolutionary strategy choices of each actor were analyzed, and the influence of different factors on the evolutionary stability results was explored. Research indicates: firstly, consumer complaints play an indirect regulatory role for the online seller; secondly, the enhancement of the loss-sharing relationship between the online seller and the e-commerce platform can promote the legal operation of the two and prevent collusion; thirdly, the impact of consumer complaints on the choice of the e-commerce platform depends on the government supervision department’s penalty for the e-commerce platform; finally, the e-commerce platform establishes a reasonable reward system, which can make up for the defects of the online seller using advanced technology to avoid punishment. Our paper uses Matlab 2017 for simulation analysis and provides effective advices on how to urge the government supervision department to effectively supervise, promote the e-commerce platform to enhance review, urge the online seller to legal sale, and encourage consumers to legally defend their rights.

Suggested Citation

  • Hui He & Lilong Zhu, 2020. "Online shopping green product quality supervision strategy with consumer feedback and collusion behavior," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-19, March.
  • Handle: RePEc:plo:pone00:0229471
    DOI: 10.1371/journal.pone.0229471
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    References listed on IDEAS

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    1. De Maeyer, Peter & Estelami, Hooman, 2011. "Consumer perceptions of third party product quality ratings," Journal of Business Research, Elsevier, vol. 64(10), pages 1067-1073, October.
    2. Yoo, Seung Ho, 2014. "Product quality and return policy in a supply chain under risk aversion of a supplier," International Journal of Production Economics, Elsevier, vol. 154(C), pages 146-155.
    3. Park, Junghum & Ju, Biung-Ghi, 2016. "Hierarchical outcomes and collusion neutrality on networks," European Journal of Operational Research, Elsevier, vol. 254(1), pages 179-187.
    4. Zhang, Jianqiang & Cao, Qingning & He, Xiuli, 2019. "Contract and product quality in platform selling," European Journal of Operational Research, Elsevier, vol. 272(3), pages 928-944.
    5. Ciliberto, Federico & Watkins, Eddie & Williams, Jonathan W., 2019. "Collusive pricing patterns in the US airline industry," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 136-157.
    6. Thaichon, Park & Quach, Sara, 2016. "Dark motives-counterfeit purchase framework: Internal and external motives behind counterfeit purchase via digital platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 82-91.
    7. Chen, Yijuan & Hu, Xiangting & Li, Sanxi, 2017. "Quality differentiation and firms’ choices between online and physical markets," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 96-132.
    8. Youngsoo Kim & Ramayya Krishnan, 2015. "On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis," Management Science, INFORMS, vol. 61(10), pages 2449-2467, October.
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    Cited by:

    1. Zhitang Li & Cuihua Zhang & Ruxia Lyu & Yong Ma, 2024. "The optimal encroachment strategy of private-label considering the quality effort and platform’s e-word-of-mouth," Electronic Commerce Research, Springer, vol. 24(3), pages 1681-1712, September.
    2. Gizem Yener & Arzu Secer & Pascal L. Ghazalian, 2023. "What Factors Influence Consumers to Buy Green Products? An Analysis through the Motivation–Opportunity–Ability Framework and Consumer Awareness," Sustainability, MDPI, vol. 15(18), pages 1-15, September.

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