• DocumentCode
    3038709
  • Title

    Analysis of ERP II Implementing Option Problem with Asymmetric Information

  • Author

    Lina, Wang ; Milis, Keon

  • Author_Institution
    Sch. of Econ. & Manage., Liaoning Univ. of Technol., Jinzhou, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    312
  • Lastpage
    316
  • Abstract
    The ERP II implementing options are enlargement of the financial options. Its essence is object item investment and policy decision of management. In this paper ERP II implementing option functions of client and vendor are described. The optimization investment policy decision of the ERP II implementing option has been analyzed under different information conditions. The vendor of ERP II implementing options hides implementing evaluation level information under asymmetry information. It is a principal-agent problem having adverse selection. This paper designed that objective function is taken at the biggest mathematical expectation value of investment profit. The optimization control of state equation is taken at implementing control cost and evaluation level. Using maximal principle the found solution scheme of ERP II implementing options optimization controlling cost and evaluation level has been derived. Finally, the simulation experiment in ERP II implementing options was made. The analysis result of ERP II implementing options is verified.
  • Keywords
    enterprise resource planning; investment; optimisation; ERP II; asymmetric information; financial options; investment profit; management policy decision; mathematical expectation value; optimization investment policy decision; option problem; state equation optimization control; Conference management; Contracts; Cost function; Enterprise resource planning; Ethics; Financial management; Information analysis; Investments; Supply chains; Technology management; ERP II implementing options; asymmetry information; evaluation level; option; principal-agent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.78
  • Filename
    5208879