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
Link To Document :
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