IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1506150.html
   My bibliography  Save this article

Modeling of Multitask Principal-Agent Based on Accounts Receivable

Author

Listed:
  • Yuhong Xin
  • Dehui Liu
  • Xiaoli Li
  • Stefania Tomasiello

Abstract

The research work on multi-task principal-agent in supply chain seldom considered other factors. In this paper, basing on accounts receivable mode of supply chain finance, we add the financing factor of bank in multi-task principal-agent to study the incentive mechanism between the manufacturer and the supplier. First we develop an incentive model under the condition of symmetric information and work out the optimal result. Next the circumstance with asymmetric information is also discussed. Last, the effort level of supplier is discussed when the receivables business ran normally.

Suggested Citation

  • Yuhong Xin & Dehui Liu & Xiaoli Li & Stefania Tomasiello, 2022. "Modeling of Multitask Principal-Agent Based on Accounts Receivable," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, September.
    • Handle: RePEc:hin:jnlmpe:1506150
    DOI: 10.1155/2022/1506150
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/1506150.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/1506150.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/1506150?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin Wang & Feng Pan, 2023. "Incentive Mechanism Analysis of Environmental Governance Using Multitask Principal–Agent Model," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    2. Fangqing Zhang & Xiaolong Wu & Shujun Zhang, 2022. "Exploring the Continuous Motivation of Algorithm Engineers under Multiple Objectives: A Mixed-Methods Study," Sustainability, MDPI, vol. 14(22), pages 1-17, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:1506150. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.