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Organizational mining, a sub-discipline of process mining, introduced social networks based on business processes. However, process mining has only half-heartedly pursued this line of development. In particular, the well-founded results of interdisciplinary social network analysis have hardly been taken up.
This article shows how the explanation and design of the phenomenon "organization" can benefit from the further development of this network view of business processes. To this end, the basic idea of social process networks is presented and the current state of research is outlined. Furthermore, social networks are presented as a new component of organization design. An interesting, far-reaching new field of research is expected.
This paper presents three novel findings that could be the starting point for further research, but can also be used in practice today.
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.
Process Modelling with ARIS®
(2004)