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A framework to identify factors affecting the performance of third-party B2B e-marketplaces: A seller’s perspective

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  • Wiyada Thitimajshima

    (Asian Institute of Technology)

  • Vatcharaporn Esichaikul

    (Asian Institute of Technology)

  • Donyaprueth Krairit

    (Asian Institute of Technology)

Abstract

This study conducted exploratory research to determine factors affecting the performance of third-party B2B e-marketplaces from a seller’s perspective. Building on the relevant literature, ten factors were proposed and mapped into the domain-specific model for e-marketplaces. The performance of e-marketplaces was measured in terms of customer loyalty and trading volume. The proposed model was tested on data from 200 selling companies in Thailand participating in various third-party B2B e-marketplaces. The exploratory factor analysis generated seven factors. Partial least squares structural equation modeling was employed to test the research model. There were three major findings. First, the reputation of e-marketplace and trust in market makers, as well as transaction cost reduction and website usability, had significant effects on customer loyalty. Second, website reliability had a positive impact on trading volume. Finally, the relative advantage and number of buyers had significant effects on both customer loyalty and trading volume. These findings reveal factors previously unreported in the literature on e-marketplaces, and they can be used by practitioners to improve performance.

Suggested Citation

  • Wiyada Thitimajshima & Vatcharaporn Esichaikul & Donyaprueth Krairit, 2018. "A framework to identify factors affecting the performance of third-party B2B e-marketplaces: A seller’s perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(2), pages 129-147, May.
    • Handle: RePEc:spr:elmark:v:28:y:2018:i:2:d:10.1007_s12525-017-0256-3
    DOI: 10.1007/s12525-017-0256-3
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    Cited by:

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    2. David Agogo, 2021. "Invisible market for online personal data: An examination," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 989-1010, December.
    3. Rainer Alt, 2018. "Electronic Markets and current general research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(2), pages 123-128, May.
    4. Shree, Deep & Kumar Singh, Rajesh & Paul, Justin & Hao, Andy & Xu, Shichun, 2021. "Digital platforms for business-to-business markets: A systematic review and future research agenda," Journal of Business Research, Elsevier, vol. 137(C), pages 354-365.
    5. Huosong Xia & Xiang Wei & Wuyue An & Zuopeng Justin Zhang & Zelin Sun, 2021. "Design of electronic-commerce recommendation systems based on outlier mining," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 295-311, June.
    6. Oliver Werth & Davinia Rodríguez Cardona & Albert Torno & Michael H. Breitner & Jan Muntermann, 2023. "What determines FinTech success?—A taxonomy-based analysis of FinTech success factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    7. Fei Ma & Dan Guo & Kum Fai Yuen & Qipeng Sun & Fuxia Ren & Xiaobo Xu & Chengyong Zhao, 2020. "The Influence of Continuous Improvement of Public Car-Sharing Platforms on Passenger Loyalty: A Mediation and Moderation Analysis," IJERPH, MDPI, vol. 17(8), pages 1-21, April.

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