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How does an individual’s default behavior on an online peer-to-peer lending platform influence an observer’s default intention?

Author

Listed:
  • Mingfeng Tang

    (Southwestern University of Finance and Economics)

  • Mei Mei

    (Southwestern University of Finance and Economics)

  • Cuiwen Li

    (Haerbin University of Science and Technology Rongcheng Campus)

  • Xingyang Lv

    (Southwestern University of Finance and Economics)

  • Xushuang Li

    (Zhejiang University)

  • Lihao Wang

    (Syracuse University)

Abstract

Previous studies indicate that individuals’ default behaviors on online peer-to-peer (P2P) lending platforms greatly influence other borrowers’ default intentions. However, the mechanism of this impact is not clear. Moreover, there is scarce research in regard to which factors influence the relationship between an individual’s default behavior and an observer’s default intention. These important questions are yet to be resolved; hence, we conducted two experiments using the scenario-based research method, focusing on Chinese online P2P lending platforms. Our results indicate that an individual’s default behavior can trigger an observer’s default intention as a result of the imperfect punitive measures as they currently exist on Chinese online P2P lending platforms. Both the observer’s moral disengagement level and pragmatic self-activation level serve as mediating variables. In situations where an observer knows an individual’s default behavior, the level of intimacy between the defaulter and observer positively affects the relationship between their default behavior and intention. The intimacy level also positively influences the relationship between the individual’s default behavior and the two mediator variables. Based on the findings, we provide management suggestions in the context of online P2P lending. Our study sets a foundation for future research to utilize other methods to extend the present research findings to other regions and domains.

Suggested Citation

  • Mingfeng Tang & Mei Mei & Cuiwen Li & Xingyang Lv & Xushuang Li & Lihao Wang, 2020. "How does an individual’s default behavior on an online peer-to-peer lending platform influence an observer’s default intention?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-20, December.
    • Handle: RePEc:spr:fininn:v:6:y:2020:i:1:d:10.1186_s40854-020-00197-y
    DOI: 10.1186/s40854-020-00197-y
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Herzenstein, Michal & Dholakia, Utpal M. & Andrews, Rick L., 2011. "Strategic Herding Behavior in Peer-to-Peer Loan Auctions," Journal of Interactive Marketing, Elsevier, vol. 25(1), pages 27-36.
    3. Celia Moore, 2008. "Moral Disengagement in Processes of Organizational Corruption," Journal of Business Ethics, Springer, vol. 80(1), pages 129-139, June.
    4. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    5. Thomas Tang & Hsi Liu, 2012. "Love of Money and Unethical Behavior Intention: Does an Authentic Supervisor’s Personal Integrity and Character (ASPIRE) Make a Difference?," Journal of Business Ethics, Springer, vol. 107(3), pages 295-312, May.
    6. Kouchaki, Maryam & Smith-Crowe, Kristin & Brief, Arthur P. & Sousa, Carlos, 2013. "Seeing green: Mere exposure to money triggers a business decision frame and unethical outcomes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 121(1), pages 53-61.
    7. Jones, Thomas M. & Ryan, Lori Verstegen, 1998. "The Effect of Organizational Forces on Individual Morality: Judgment, Moral Approbation, and Behavior," Business Ethics Quarterly, Cambridge University Press, vol. 8(3), pages 431-445, July.
    8. Shuqair, Saleh & Pinto, Diego Costa & Mattila, Anna S., 2019. "Benefits of authenticity: Post-failure loyalty in the sharing economy," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
    9. Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
    10. Kivetz, Yifat & Tyler, Tom R., 2007. "Tomorrow I'll be me: The effect of time perspective on the activation of idealistic versus pragmatic selves," Organizational Behavior and Human Decision Processes, Elsevier, vol. 102(2), pages 193-211, March.
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    Cited by:

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    2. Carlos Madeira, 2023. "Adverse selection, loan access and default behavior in the Chilean consumer debt market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-29, December.
    3. Pranith Kumar Roy & Krishnendu Shaw, 2021. "A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.

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