• DocumentCode
    2330132
  • Title

    From reducing complexity to adaptive organisations

  • Author

    Meijer, Bart R.

  • Author_Institution
    Fac. of Mech. Eng., Delft Univ. of Technol., Netherlands
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    661
  • Abstract
    Modelling or understanding markets is a very complex if not impossible task. Yet doing successful business a market is not a casino game. Creating value for a limited, well chosen, set of customers is a successful strategy. The deliberate limitation reduces the complexity of decision making to a manageable level. Structuring the organisation of business processes to match the needs of these customers reduces complexity even further. Using a state-space metaphor for decision making, heuristics for designing organisation structures are presented and evaluated against the entropic measure of complexity. However organisation structures have a best-before-date. Surviving in business means frequently adapting to new structures. Using the same state-space complexity model, well known change process can be evaluated too.
  • Keywords
    decision making; management of change; adaptive organisations; business processes organisation structuring; casino game; change process evaluation; decision making complexity reduction; organisation structures design heuristics; state-space complexity model; statespace metaphor; value creation; Bandwidth; Companies; Context modeling; Decision making; Entropy; Extraterrestrial measurements; Game theory; Humans; Machine intelligence; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering Management Conference, 2002. IEMC '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7385-5
  • Type

    conf

  • DOI
    10.1109/IEMC.2002.1038514
  • Filename
    1038514