Title : 
From reducing complexity to adaptive organisations
         
        
        
            Author_Institution : 
Fac. of Mech. Eng., Delft Univ. of Technol., Netherlands
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Engineering Management Conference, 2002. IEMC '02. 2002 IEEE International
         
        
            Print_ISBN : 
0-7803-7385-5
         
        
        
            DOI : 
10.1109/IEMC.2002.1038514