A Labeled Graph Approach to Analyze Organizational Performance

Determining the performance of an organization is a must for both human and multi-agent organizations. The performance analysis enables organizations to uncover unexpected properties of organizations and allow them to reconsider their internal workings. To perform such an analysis, this paper represents organizations as labeled graphs that capture, not only the interactions of the entities, but also the characteristics of those interactions, such as their content, frequency, and so on through labels in the graph. Algebraic representation 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. Finally, a case study is performed within the domain of incident management.