• DocumentCode
    2165283
  • Title

    Optimal-Decision Research on Ordering Financing Based on Supply Chain Finance

  • Author

    Li Juan ; Xu Yu

  • Author_Institution
    Postdoctorate of Appl. Econ., Renmin Univ. of China, Beijing, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    According to the non-completeness of financial contract, there will not exist the optimal contract ex ante between financial institution and SME(small and medium enterprise). However the optimal choice may reach through renegotiation. We design optimal decision-making model of staged loaning which concludes three aspects: giving up re-loaning, loaning with renegotiation, and loaning without renegotiation under perfect information only on the condition of individual rationality constraint and then get the first best solution. The optimal decision-making model of staged loaning in ordering financing with imperfect information and with renegotiation is founded on both the condition of individual rationality constraint and incentive compatibility constraint and the second best solution is reached. Comparing the first best solution and second best solution, we can conclude that staged loaning is superior to upfront loaning and that with the increasing of moral hazard, second best solution will go to first best solution when considering pledged orders, contract and staged loaning.
  • Keywords
    decision making; financial management; small-to-medium enterprises; supply chain management; financial institution; incentive compatibility constraint; optimal decision-making model; optimal-decision research; ordering financing; rationality constraint; small and medium enterprise; supply chain finance; Biological system modeling; Contracts; Ethics; Finance; Hazards; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5576864
  • Filename
    5576864