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The nature of sellers’ cyber credit in C2C e-commerce: the perspective of social capital

Author

Listed:
  • Kun Liang

    (Texas Tech University)

  • Cuiqing Jiang

    (Hefei University of Technology)

  • Zhangxi Lin

    (Texas Tech University)

  • Weihong Ning

    (Texas Tech University)

  • Zelin Jia

    (Texas Tech University)

Abstract

With the fast evolution of e-commerce, it is getting harder for traditional credit management systems to service online businesses with diversified needs in dynamic scenarios. This paper studies the nature of cyber credit from the perspective of social capital. We propose the credit assessment model using social capital variables extracted from the reputation system of an e-commerce platform and the associated online social network. In addition, we consider the dynamic and diversified effects of online reputation on sellers’ cyber credit, and we verify the rationality of the credit assessment model through analyzing the relationship between cyber credit and social network variables. We take Alibaba C2C e-commerce market as our experimental study platform and use the social networking information from Sina’s microblogging services. We find that social capital variables can be used to effectively measure the cyber credit of online sellers in C2C businesses.

Suggested Citation

  • Kun Liang & Cuiqing Jiang & Zhangxi Lin & Weihong Ning & Zelin Jia, 2017. "The nature of sellers’ cyber credit in C2C e-commerce: the perspective of social capital," Electronic Commerce Research, Springer, vol. 17(1), pages 133-147, March.
    • Handle: RePEc:spr:elcore:v:17:y:2017:i:1:d:10.1007_s10660-016-9231-x
    DOI: 10.1007/s10660-016-9231-x
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    Cited by:

    1. Wei-Lun Huang & Peng Hu & Sophia Tsai & Xi-Ding Chen, 2021. "The business analysis on the home-bias of E-commerce consumer behavior," Electronic Commerce Research, Springer, vol. 21(3), pages 855-879, September.
    2. ming, Luo & GuoHua, Zhou & Wei, Wei, 2021. "Study of the Game Model of E-Commerce Information Sharing in an Agricultural Product Supply Chain based on fuzzy big data and LSGDM," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. Yi Cui & Jian Mou & Jason Cohen & Yanping Liu, 2019. "Understanding information system success model and valence framework in sellers’ acceptance of cross-border e-commerce: a sequential multi-method approach," Electronic Commerce Research, Springer, vol. 19(4), pages 885-914, December.
    4. Francesca Battaglia & Francesco Busato & Maria Manganiello, 2022. "A cross-platform analysis of the equity crowdfunding Italian context: the role of intellectual capital," Electronic Commerce Research, Springer, vol. 22(2), pages 649-689, June.
    5. E. Mitchell Church & Richelle L. Oakley, 2018. "Etsy and the long-tail: how microenterprises use hyper-differentiation in online handicraft marketplaces," Electronic Commerce Research, Springer, vol. 18(4), pages 883-898, December.
    6. Kun Liang & Jun He & Peng Wu, 2022. "Trust Evaluation Method of E-Commerce Enterprises with High-Involvement Experience Products," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    7. Zhao Wang & Cuiqing Jiang & Huimin Zhao, 2022. "Know Where to Invest: Platform Risk Evaluation in Online Lending," Information Systems Research, INFORMS, vol. 33(3), pages 765-783, September.

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