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An extended Bass Model on consumer quantity of B2C commerce platforms

Author

Listed:
  • Xiaoyu Li

    (Northwest A&F University)

  • Jiahong Yuan

    (Northwest A&F University)

  • Yan Shi

    (Tokai University)

  • Tianteng Wang

    (Dalian University of Technology)

  • Xiangpei Hu

    (Dalian University of Technology)

  • Felix Tung Sun Chan

    (The Hong Kong Polytechnic University)

  • Junhu Ruan

    (Northwest A&F University)

Abstract

For B2C (Business to Customer) commerce platforms, quickly attracting enough consumers is an extremely important issue. However, existing studies mainly analyze whether consumers make online purchase and its influencing factors, but pay less attention to the changes in consumer size. Therefore, this paper aims to study the changing law of consumer quantity from the macro level, which may help E-commerce platforms reasonably predict it. Firstly, we point out the unique feature of the B2C commerce platforms compared with traditional products or technologies, namely indirect network externality. And we combine this feature and the factors that influence consumers and enterprises’ adoption of B2C commerce to build an extended Bass Model. Finally, we verify the validity of our model with the data of Chinese online shoppers. In addition, we put forward some suggestions on the future research of this extended Bass Model.

Suggested Citation

  • Xiaoyu Li & Jiahong Yuan & Yan Shi & Tianteng Wang & Xiangpei Hu & Felix Tung Sun Chan & Junhu Ruan, 2020. "An extended Bass Model on consumer quantity of B2C commerce platforms," Electronic Commerce Research, Springer, vol. 20(3), pages 609-628, September.
    • Handle: RePEc:spr:elcore:v:20:y:2020:i:3:d:10.1007_s10660-020-09428-x
    DOI: 10.1007/s10660-020-09428-x
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    References listed on IDEAS

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    Cited by:

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    2. Min Liu & Sajid Anwar, 2023. "Can price discrimination improve the performance of online retail platforms?," Australian Economic Papers, Wiley Blackwell, vol. 62(2), pages 257-271, June.

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