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Building investor trust in the P2P lending platform with a focus on Chinese P2P lending platforms

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Abstract

Despite the rapid development of peer-to-peer (P2P) lending in the world, massive Chinese P2P platforms have failed due to moral risk and liquidity risk, which decreased investors’ confidence in P2P lending. A major question facing the future growth and development of P2P platforms is how to best build investors’ trust. This study was based on the elaboration likelihood model and examines how to persuade investors to develop initial trust in P2P platform. The empirical analysis data were collected from 70 Chinese P2P platforms. The multiple linear regression results support central route variables: the financial and credit status of P2P platforms are key elements in building the trust of investors and impacting their decisions. The subordinate route variables including social capital, risk management, and operating duration provide the necessary support to increase the number of platform investors. The relationship between the average interest rate and number of investors is not linear but exhibits an inverted U-shaped curve. The disclosure of information by the borrowers does not significantly affect the number of platform investors. These findings are an important complement to existing research and will facilitate future development efforts for P2P lending and the rational investments of investors.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (Nos. 71531009, 71271093).

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Authors and Affiliations

  1. School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China

    Yuwei Yan & Bin Hu

  2. School of Business, Taishan University, Taian, 271000, China

    Yuwei Yan

  3. SIAT, Chinese Academy of Science, Shenzhen, 518055, China

    Zhihan Lv

Authors
  1. Yuwei Yan
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  2. Zhihan Lv
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  3. Bin Hu
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Correspondence to Bin Hu.

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Yan, Y., Lv, Z. & Hu, B. Building investor trust in the P2P lending platform with a focus on Chinese P2P lending platforms. Electron Commer Res 18, 203–224 (2018). https://doi.org/10.1007/s10660-017-9255-x

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  • DOI: https://doi.org/10.1007/s10660-017-9255-x

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