DocumentCode
2472609
Title
MP/L1: an automated model of organisational power and its application as a conflict prediction aid in information systems strategy implementation
Author
McGrath, G.M. ; Dampney, C.N.G. ; More, E.
Author_Institution
Macquarie Univ., North Ryde, NSW, Australia
fYear
1995
fDate
20-23 Feb 1995
Firstpage
56
Lastpage
64
Abstract
Organisational power and politics are the central issues of this paper. By developing a model of organisational power it is possible to determine whether an organisational change initiative is likely to be politically feasible. The formal model described has been derived largely from research reported in the social sciences. The modelling process involved using formal methods, in logic and entity relationship analysis, to discover an effective and consistent means of representing key organisational power concepts. The result is an advisory expert system called MP/LI that can be employed by change agents to predict likely sources of potential resistance to major change initiatives and to suggest tactics that might be effective in combating anticipated resistance. Industrial experience with MP/LI to date indicates that it has significant potential as a change management tool within the IS strategy implementation domain
Keywords
entity-relationship modelling; expert systems; management information systems; management of change; MP/L1; advisory expert system; automated model; change management tool; conflict prediction aid; entity relationship analysis; formal methods; information systems strategy implementation; logic analysis; modelling process; organisational change initiative; organisational power; politics; resistance; Economic forecasting; Environmental economics; Expert systems; Information systems; Logic; Management information systems; Power generation economics; Power system modeling; Predictive models; Strategic planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-8186-7070-3
Type
conf
DOI
10.1109/CAIA.1995.378790
Filename
378790
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