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Evaluating the drivers of B2B performance: An empirical analysis based on Alibaba

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  • Miao Feng
  • Haoran Si
  • Yang Li
  • Junrui Zhang

Abstract

The rapid development of B2B has brought about fierce competition among suppliers, and how to gain customer attention and improve performance has become a common concern in academia and industry. This study examined the drivers and mechanisms of B2B performance from an enterprise capability perspective. We collected transaction and enterprise data from 325 suppliers on Alibaba 1688 platform and constructed a structural equation model (SEM). Results showed that supplier service capability, logistics capability, and production capacity all positively impacted B2B performance through the mediating role of customer attention. In addition, we found that service and logistics capabilities are more critical for attracting customer attention for Original Equipment Manufacturer (OEM) suppliers than for non-OEM suppliers. The findings contribute to understanding B2B commerce and provide constructive directions for B2B suppliers to improve their performance.

Suggested Citation

  • Miao Feng & Haoran Si & Yang Li & Junrui Zhang, 2024. "Evaluating the drivers of B2B performance: An empirical analysis based on Alibaba," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-14, July.
  • Handle: RePEc:plo:pone00:0306919
    DOI: 10.1371/journal.pone.0306919
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    1. Stephanie M. Mangus & Eli Jones & Judith Anne Garretson Folse & Shrihari Sridhar, 2020. "The interplay between business and personal trust on relationship performance in conditions of market turbulence," Journal of the Academy of Marketing Science, Springer, vol. 48(6), pages 1138-1155, November.
    2. Elodie Adida & Georgia Perakis, 2014. "The effect of supplier capacity on the supply chain profit," Annals of Operations Research, Springer, vol. 223(1), pages 1-52, December.
    3. Zhou, Liying & Mao, Hongyi & Zhao, Taiyang & Wang, Valerie Lynette & Wang, Xiaodong & Zuo, Peng, 2022. "How B2B platform improves Buyers’ performance: Insights into platform’s substitution effect," Journal of Business Research, Elsevier, vol. 143(C), pages 72-80.
    4. Nambisan, Satish & Baron, Robert A., 2021. "On the costs of digital entrepreneurship: Role conflict, stress, and venture performance in digital platform-based ecosystems," Journal of Business Research, Elsevier, vol. 125(C), pages 520-532.
    5. Mitchell, Mark L & Mulherin, J Harold, 1994. "The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
    6. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    7. David Lucking-Reiley & Daniel F. Spulber, 2001. "Business-to-Business Electronic Commerce," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 55-68, Winter.
    8. Liu, Yen-Hung Steven & Deligonul, Seyda & Cavusgil, Erin & Chiou, Jyh-Shen, 2018. "Always trust in old friends? Effects of reciprocity in bilateral asset specificity on trust in international B2B partnerships," Journal of Business Research, Elsevier, vol. 90(C), pages 171-185.
    9. Nagurney, Anna & Yu, Min & Floden, Jonas & Nagurney, Ladimer S., 2014. "Supply chain network competition in time-sensitive markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 112-127.
    10. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    11. David Xiaosong Peng & Guanyi Lu, 2017. "Exploring the Impact of Delivery Performance on Customer Transaction Volume and Unit Price: Evidence from an Assembly Manufacturing Supply Chain," Production and Operations Management, Production and Operations Management Society, vol. 26(5), pages 880-902, May.
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