Abstract
Work transference network is a type of enterprise social network centered on the interactions among performers participating in the workflow processes. It is thought that the work transference networks hidden in workflow enactment histories are able to denote not only the structure of the enterprise social network among performers but also imply the degrees of relevancy and intensity between them. The purpose of this paper is to devise a framework that can discover and analyze work transference networks from workflow enactment event logs. The framework includes a series of conceptual definitions to formally describe the overall procedure of the network discovery. To support this conceptual framework, we implement a system that provides functionalities for the discovery, analysis and visualization steps. As a sanity check for the framework, we carry out a mining experiment on a dataset of real-life event logs by using the implemented system. The experiment results show that the framework is valid in discovering transference networks correctly and providing primitive knowledge pertaining to the discovered networks. Finally, we expect that the analytics of the work transference network facilitates assessing the workflow fidelity in human resource planning and its observed performance, and eventually enhances the workflow process from the organizational aspect.
Highlights
A workflow management system can support two fundamental functionalities, namely, the modeling functionality and the enacting functionality
The logical foundation of such a workflow management system is based on its underlying workflow model, which implies that the system is able to automate the defining, creation, execution, and management of the workflow processes according to the internal principle and structure of the underlying workflow model
Using the discovery framework and its system, we carry out experimental analytics on a specific dataset of event logs from the BPI Challenge (BPIC) 2018 [32]
Summary
A workflow (or business process) management system can support two fundamental functionalities, namely, the modeling functionality and the enacting functionality. The authors’ research group has proposed research and development issues when applying the concept of social networks and analysis methods into human-centered workflow knowledge discovery and analysis Under this context, we are interested in the work transference network [5] among performers in a workflow-supported organization. As the predecessor of this case, Je f f will transfer the results of the execution of A to his successor Adam This type of relationship reflects the relevancy and intensity between performers in terms of working, and can eventually be an important analytical property for the acquisition of human-centered workflow knowledge. To actualize the workflow fidelity assessment, we should address the fact that there still lacks a common implementation that provides system supports to rediscover work transference network correctly and to analyze discrepancies between the discovery and rediscovery results.
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