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Decision Analysis under Behavioral Economics—Incentive Mechanism for Improving Data Quality in Crowdsensing

Author

Listed:
  • Jiaqi Liu

    (School of Computer Science and Engineering, Central South University, Changsha 410075, China)

  • Xi Shen

    (School of Computer Science and Engineering, Central South University, Changsha 410075, China)

  • Wenxi Liu

    (School of Computer Science and Engineering, Central South University, Changsha 410075, China)

  • Zhi Lv

    (School of Computer Science and Engineering, Central South University, Changsha 410075, China)

  • Ruoti Liu

    (School of Computer Science and Engineering, Central South University, Changsha 410075, China)

  • Deng Li

    (School of Computer Science and Engineering, Central South University, Changsha 410075, China)

Abstract

Due to the profitability and selfishness of crowdfunding system users, under fixed budget conditions, there are problems, such as low task completion rate due to insufficient participants and low data quality. However, the existing incentive mechanisms are mainly based on traditional economics, which believes that whether users participate in tasks depends on whether the benefits of the task outweigh the costs. Behavioral economics shows that people judge the value of gains and losses according to a reference point. The weight given to losses is more important than the weight given to the same gains. Therefore, this article considers the impact of reference dependency and loss aversion on user decision-making and proposes a participant selection mechanism based on reference dependency (PSM-RD) and a quality assurance mechanism based on loss aversion (QAM-LA). PSM-RD uses reference points to influence user pricing and selects more participants based on relative value. QAM-LA pays additional rewards based on the data quality of participants and motivates them to improve data quality by reconstructing utility functions. The simulation results show that compared with the ABSee mechanism, data quality has improved by 17%, and the value of completed tasks has increased by at least 40%.

Suggested Citation

  • Jiaqi Liu & Xi Shen & Wenxi Liu & Zhi Lv & Ruoti Liu & Deng Li, 2023. "Decision Analysis under Behavioral Economics—Incentive Mechanism for Improving Data Quality in Crowdsensing," Mathematics, MDPI, vol. 11(10), pages 1-23, May.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:10:p:2288-:d:1146871
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    References listed on IDEAS

    as
    1. Ulrich Schmidt & Chris Starmer & Robert Sugden, 2008. "Third-generation prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 203-223, June.
    2. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    5. Chen, Zhuoqiong (Charlie) & Ong, David & Segev, Ella, 2017. "Heterogeneous risk/loss aversion in complete information all-pay auctions," European Economic Review, Elsevier, vol. 95(C), pages 23-37.
    6. Liu, Wei & Song, Shiji & Wu, Cheng, 2013. "Impact of loss aversion on the newsvendor game with product substitution," International Journal of Production Economics, Elsevier, vol. 141(1), pages 352-359.
    7. 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..
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