• DocumentCode
    1744645
  • Title

    The decision analysis for project investment combining exposure preference and benefit pursuing

  • Author

    Jinlou, Zhao ; Lean, Yu

  • Author_Institution
    Sch. of Econ. & Manage., Harbin Eng. Univ., China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    65
  • Abstract
    In project investment management, there is a difference for people between exposure preference and benefit pursuing. A great many investors hope to gain the highest benefit under the condition of steady exposure or to make the lowest exposure under the circumstance of steady benefit. However, the existing decision analysis processes of project investment, such as net present value process and internal rate of return process, only analyze project feasibility from one side or one angle of one side. These faults don´t combine exposure preference with benefit pursuing to analyze a project. On the basis of these faults, the thesis creates an optimal model of project investment with two sides using differential process from the view of economy control theory. Moreover, the optimal model successfully solves the paradox relationship of exposure and benefit in the project investment decision. At the same time, the thesis verifies sensibility and feasibility of the process by calculating and analyzing of true examples
  • Keywords
    decision theory; economics; investment; project management; research and development management; benefit pursuing; decision analysis processes; economy control theory; exposure preference; investors; project investment decision; project investment decision analysis; project investment management; Control theory; Engineering management; Investments; Project management; Risk analysis; Risk management; Time factors; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology, 2000. ICMIT 2000. Proceedings of the 2000 IEEE International Conference on
  • Print_ISBN
    0-7803-6652-2
  • Type

    conf

  • DOI
    10.1109/ICMIT.2000.917275
  • Filename
    917275