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A dynamic cost compensation mechanism driven by moderator preferences for group consensus in lending platforms

Author

Listed:
  • Yanli Meng

    (Beihang University
    De Montfort University)

  • Li Wang

    (Beihang University)

  • Francisco Chiclana

    (De Montfort University)

  • Haijun Yang

    (Beihang University
    Beihang University)

  • Sha Wang

    (Kunming University of Science and Technology)

Abstract

The matching service the lending platform (moderator) provides acts as a facilitative conduit for reaching a loan consensus, facilitating agreements among multiple lenders and borrowers (decision makers). In light of the reality that decision-makers exhibit varying sensitivities to compensation expectations in response to opinion adjustment, the moderator’s demonstration of a preferred compensation mechanism determines the efficiency of the matching service. This article proposes a dynamic cost compensation mechanism driven by moderator preferences for group consensus in lending platforms. Firstly, the utility function describes adjusters’ preferences, defining three unit cost compensation preferences: Power-type I, II and right-partial S-shaped preferences. Subsequently, we construct a generalized dynamic minimum-cost consensus decision model to determine the optimal unit compensation strategies within the opinion interval delineated by the moderator. For the likelihood of equitable concerns arising from fluctuations in unit compensation costs, we enforce the fairness of the compensation strategy by incorporating the Gini coefficient as a constraint within the consensus model. To validate the effectiveness and applicability of the proposed models, we apply the proposed models to online lending utilizing data obtained from an online peer-to-peer lending platform.

Suggested Citation

  • Yanli Meng & Li Wang & Francisco Chiclana & Haijun Yang & Sha Wang, 2025. "A dynamic cost compensation mechanism driven by moderator preferences for group consensus in lending platforms," Annals of Operations Research, Springer, vol. 347(3), pages 1425-1454, April.
    • Handle: RePEc:spr:annopr:v:347:y:2025:i:3:d:10.1007_s10479-024-06424-4
    DOI: 10.1007/s10479-024-06424-4
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    References listed on IDEAS

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    1. Huanhuan Zhang & Gang Kou & Yi Peng, 2022. "Large-scale peer-to-peer loan consensus based on minimum cost consensus," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(10), pages 2326-2337, October.
    2. Wenshuai Wu & Gang Kou & Yi Peng, 2018. "A consensus facilitation model based on experts’ weights for investment strategy selection," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(9), pages 1435-1444, September.
    3. Kuang-Hua Hu & Fu-Hsiang Chen & Ming-Fu Hsu & Gwo-Hshiung Tzeng, 2023. "Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule-based decision-making model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-31, December.
    4. Wang, Shaoda & Ye, Dezhu & Liao, Junyun, 2024. "Politeness matters: The role of polite languages in online peer-to-peer lending," Journal of Business Research, Elsevier, vol. 171(C).
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Jindong Qin & Yingying Liang, 2023. "Modeling the minimum cost consensus problem with risk preferences," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(1), pages 417-429, January.
    7. Ying Ji & Huanhuan Li & Huijie Zhang, 2022. "Risk-Averse Two-Stage Stochastic Minimum Cost Consensus Models with Asymmetric Adjustment Cost," Group Decision and Negotiation, Springer, vol. 31(2), pages 261-291, April.
    8. Wang, Liang & Li, Yuxuan & Liang, Meiqi & Wang, Yuanfei, 2023. "Research on P2P product portfolio strategy based on term structure under risk reserve system," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 124-138.
    9. Feng, Bo & Lai, Fujun, 2014. "Multi-attribute group decision making with aspirations: A case study," Omega, Elsevier, vol. 44(C), pages 136-147.
    10. Tang, Ming & Liao, Huchang, 2024. "Group efficiency and individual fairness tradeoff in making wise decisions," Omega, Elsevier, vol. 124(C).
    11. Yingying Liang & Yanbing Ju & Jindong Qin & Witold Pedrycz & Peiwu Dong, 2023. "Minimum cost consensus model with loss aversion based large-scale group decision making," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(7), pages 1712-1729, July.
    12. Zaiyan Wei & Mingfeng Lin, 2017. "Market Mechanisms in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 63(12), pages 4236-4257, December.
    13. Xiangrui Chao & Yucheng Dong & Gang Kou & Yi Peng, 2022. "How to determine the consensus threshold in group decision making: a method based on efficiency benchmark using benefit and cost insight," Annals of Operations Research, Springer, vol. 316(1), pages 143-177, September.
    14. Du, Junliang & Liu, Sifeng & Liu, Yong, 2022. "A limited cost consensus approach with fairness concern and its application," European Journal of Operational Research, Elsevier, vol. 298(1), pages 261-275.
    15. Ahmet Kaya & Dragan Pamucar & Hasan Emin Gürler & Mehmet Ozcalici, 2024. "Determining the financial performance of the firms in the Borsa Istanbul sustainability index: integrating multi criteria decision making methods with simulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-44, December.
    16. Zhang, Huanhuan & Kou, Gang & Peng, Yi, 2019. "Soft consensus cost models for group decision making and economic interpretations," European Journal of Operational Research, Elsevier, vol. 277(3), pages 964-980.
    17. Xiaoxuan Hu & Yanjun Wang & Haiquan Sun & Peng Jin, 2022. "A remote sensing satellite observation scheme evaluation method based on granular computing of intuitionistic linguistic preference relation," Annals of Operations Research, Springer, vol. 316(1), pages 343-364, September.
    18. Cheng, Dong & Yuan, Yuxiang & Wu, Yong & Hao, Tiantian & Cheng, Faxin, 2022. "Maximum satisfaction consensus with budget constraints considering individual tolerance and compromise limit behaviors," European Journal of Operational Research, Elsevier, vol. 297(1), pages 221-238.
    19. Zhen Zhang & Zhuolin Li, 2023. "Consensus-based TOPSIS-Sort-B for multi-criteria sorting in the context of group decision-making," Annals of Operations Research, Springer, vol. 325(2), pages 911-938, June.
    20. Dadan Rahadian & Anisah Firli & Hasan Dinçer & Serhat Yüksel & Alexey Mikhaylov & Fatih Ecer, 2024. "A hybrid neuro fuzzy decision-making approach to the participants of derivatives market for fintech investors in emerging economies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-18, December.
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