• DocumentCode
    3195983
  • Title

    Study on the Evolutionary Mechanism from Operational Research Activities to Sustainable Competitive Advantage

  • Author

    Li Zhengfeng ; Ye Jinfu

  • Author_Institution
    LOSI-CNRS, Univ. of Technol. of Troyes, Troyes, France
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    580
  • Lastpage
    584
  • Abstract
    Some researches indicated that operational research activities could achieve a sustainable competitive advantage for the organization. However, how to achieve a sustainable competitive advantage by operational research activities has not yet been scientifically and entirely revealed. Based on theories of management entropy and management dissipative structure, it establishes the entropy flow model and discourses on the positive and negative entropy flows in the evolutionary process from operational research activities to sustainable competitive advantage. Then, it develops formulations of management dissipative structure containing the positive and negative entropy flows from organization and environment. By solving these formulations, the value of total entropy can be calculated, and whether the formation of management dissipative structure can be estimated. This research provides a new referenced scheme to reduce the increasing of positive entropy flow and introduce negative entropy flow to accelerate the evolutionary process from operational research activities to sustainable competitive advantage.
  • Keywords
    evolutionary computation; management; evolutionary mechanism; evolutionary process; negative entropy flows; operational research activities; positive entropy flows; sustainable competitive advantage; Acceleration; Automation; Competitive intelligence; Costs; Entropy; Environmental management; Information technology; Investments; Technology management; Weapons; Management Dissipative Structure; Management Entropy; Operational Research Activities; Sustainable Competitive Advantage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.366
  • Filename
    5522894