Abstract
Organizational performance analysis enables organizations to uncover unexpected properties of organizations and allow them to reconsider their internal workings and provide support for this. To perform such an analysis and obtain appropriate support, in this paper organizations are modeled as labeled graphs that capture the interactions of the entities and the characteristics of those interactions, such as their content and frequency, through labels in the graph. Algebraic representations and manipulations of the labels enable analysis of a given organization. Hence, well-known phenomena, such as overloading of participants or asymmetric distribution of workload among participants can easily be detected and supported. A case study performed within the domain of incident management is described to illustrate the approach.
This paper is an extended version of Hoogendoorn, M., Treur, J., and Yolum, P., A Labeled Graph Approach to Analyze Organizational Performance. In: Nishida, T. (ed.), Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006), IEEE Computer Society Press, 2006, pp. 482-489. and Hoogendoorn, M., Treur, J., and Yolum, P., A Labelled Graph Approach to Support Analysis of Organizational Performance. In: Fischer, K., Berre, A., Elms, K., and Muller, J.P. (eds.), Proceedings of the Workshop on Agent-based Technologies and applications for enterprise interOPerability, ATOP’05, pp. 49-60
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Hoogendoorn, M., Treur, J., Yolum, P. (2009). Analysis and Support of Organizational Performance Based on a Labeled Graph Approach. In: Fischer, K., Müller, J.P., Odell, J., Berre, A.J. (eds) Agent-Based Technologies and Applications for Enterprise Interoperability. ATOP ATOP 2005 2008. Lecture Notes in Business Information Processing, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01668-4_5
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DOI: https://doi.org/10.1007/978-3-642-01668-4_5
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