Netzwerkbasierte Ereignisorientierte Analyse von Geschäftsprozessen

The goal of the thesis is to develop an approach for quantitative business process analysis, based on (social) network analysis and behavioral characteristics of business processes. The information ows taking place during the communication and collaboration activities are seen as the basis for evaluation and classi cation of process activities as well as the analysis of business process structures. The state changes of involved business objects that occur due to the information exchange and business process execution are considered events and the basis for the network-based analysis of the processes. Therefore, the business process is presented here as a network with process activities represented by vertices and information or event ow respectively represented by edges. This view centers on the relationships between process activities and allows analysis of the originating process properties. Thus, the focus is put on the transformation and transportation of information instead of on the proceeding itself. This approach aims to enable a quantitative analysis and information-focused representation of the process. Thus, the analytical toolset of the network analysis is introduced here to explore the business process management domain. The process network will thus be analyzed using the methods and tools of (social) network analysis. This approach adapts the view of the business process as a socializing , thus a communicating, entity and integrates the results into the context of business process management. To achieve this goal 58 process models from industry and research in the area of business process management are transferred to network models and explored using the network analysis approach. To describe process characteristics, metrics from the domain of event-oriented (social) network analysis are adapted to the context of business process management. Also, business process speci c metrics are derived. These metrics are veri ed using new business processes. Parallel to the event-oriented network-based analysis of characteristics of processes and process activities a proceeding for identi cation of business process elements infecting process behavior such as business rules and events is developed and evaluated in case studies. These results of the classic process analysis are compared to the results that were derived applying the network-based analysis on the case study processes. Using these evaluation techniques the value and insights gained from the event-oriented networkbased business process analysis can be determined.