Measuring and visualizing organizations by relating structure to performance

Gabbai, J. M. E. and Wright, W. A. and Allinson, Nigel (2003) Measuring and visualizing organizations by relating structure to performance. In: IEEE International Conference on Industrial Informatics, July 2003, Banff.

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Abstract

Within a Multi Agent System (MAS) environment, principled metrics are developed that encapsulate the structure and performance of organizations. From extensive simulation work, we can explore performance/cost/structure trade-offs; and, by incorporating data visualization techniques, we can observe the emergence of organization classes and begin to identify optimum organizational structures to meet specified constraints and tasks. We illustrate our approach through specific examples and suggest future directions.

This paper will focus on measuring organizational structure and relating it to organizational performance using results from a small-scale simulation as a basis for discussion. We first outline the context and motivation behind this research from both industrial and academic perspectives, followed by our research questions. These are discussed using simulation data gathered over several differenc organizational scenarios.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Within a Multi Agent System (MAS) environment, principled metrics are developed that encapsulate the structure and performance of organizations. From extensive simulation work, we can explore performance/cost/structure trade-offs; and, by incorporating data visualization techniques, we can observe the emergence of organization classes and begin to identify optimum organizational structures to meet specified constraints and tasks. We illustrate our approach through specific examples and suggest future directions. This paper will focus on measuring organizational structure and relating it to organizational performance using results from a small-scale simulation as a basis for discussion. We first outline the context and motivation behind this research from both industrial and academic perspectives, followed by our research questions. These are discussed using simulation data gathered over several differenc organizational scenarios.
Keywords:Measuring organizational structure, Organizational performance
Subjects:G Mathematical and Computer Sciences > G990 Mathematical and Computing Sciences not elsewhere classified
Divisions:College of Science > School of Computer Science
ID Code:5021
Deposited By: Tammie Farley
Deposited On:20 Apr 2012 13:06
Last Modified:13 Mar 2013 09:05

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