Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/273362 
Year of Publication: 
2023
Series/Report no.: 
Rosenheim Papers in Applied Economics and Business Sciences No. 7/2023
Publisher: 
Technische Hochschule Rosenheim, Rosenheim
Abstract: 
The impulse to think about process-induced social networks (in short: process networks) comes from the discipline of "Process Mining" (e.g. van der Aalst et al. 2005). The relevant literature refers to an "organizational view" or "organizational mining" in process mining. In essence, process mining is about creating a time-logical chain of related tasks from automatically logged user activities on a computer. In this way, real processes can be mapped and analyzed as models. As a "by-product", task-related social networks are created between the process participants through the predecessor/successor relationships in the workflow. However, it should be noted and criticized that process mining research neglects the potential of social network analysis. The extensive findings of classical network research are not taken up further. An organizational and social scientific deepening of the data-driven preliminary work is missing in this discipline. Process mining, which tends to be mathematical and technical, has not yet developed the ambition to ally itself with empirical organizational and social research. This working paper tries to counteract this. It presents a first, social science-based approach to theoretically grounding process networks.
Subjects: 
Business Process
Process Management
Social Network
Process Theory
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Working Paper

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