• DocumentCode
    3263558
  • Title

    Design of Incentive Mechanism for Independent Directors Based on Monitoring Mechanism under Asymmetric Information Condition

  • Author

    Yan-Li, Xu

  • Author_Institution
    Sch. of Manage., Harbin Normal Univ., Harbin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    284
  • Lastpage
    287
  • Abstract
    The incentive mechanism for independent directors has yet to be established so far. Through mathematical models and game theory, this paper analyzes the optimal incentive contracts between stockholders and independent directors under asymmetric information condition in order to solve the problems in establishing incentive mechanism for independent directors. Supervision mechanism is introduced and analyzed in the design of incentive mechanism. It expands the theoretical frame for incentive mechanism. The results are as follows: Supervision mechanism is related and complementary with incentive mechanism. Both can encourage or guide the agent to work hard towards common goals. Therefore, the function of the incentive mechanism and the supervision mechanism should be considered simultaneously in the design of incentive contract. Introduction of supervision mechanism into incentive mechanism not only results in theoretical innovation, but also has great application value in practice.
  • Keywords
    contracts; game theory; incentive schemes; personnel; asymmetric information condition; game theory; incentive mechanism; independent directors; mathematical models; monitoring mechanism; optimal incentive contracts; stockholders; supervision mechanism; Companies; Computational intelligence; Condition monitoring; Conference management; Contracts; Game theory; Information analysis; Power generation economics; Production; Remuneration; asymmetric information; game theory; incentive mechanism; independent director; mathematic analysis; monitoring mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.254
  • Filename
    5230979