Mining team compositions for collaborative work in business processes

Schönig, Stefan and Cabanillas Macias, Cristina and Di Ciccio, Claudio and Jablonski, Stefan and Mendling, Jan (2016) Mining team compositions for collaborative work in business processes. Software & Systems Modeling. pp. 1-19. ISSN 1619-1374

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Abstract

Process mining aims at discovering processes by extracting knowledge about their different perspectives from event logs. The resource perspective (or organisational perspective) deals, among others, with the assignment of resources to process activities. Mining in relation to this perspective aims to extract rules on resource assignments for the process activities. Prior research in this area is limited by the assumption that only one resource is responsible for each process activity, and hence, collaborative activities are disregarded. In this paper, we leverage this assumption by developing a process mining approach that is able to discover team compositions for collaborative process activities from event logs. We evaluate our novel mining approach in terms of computational performance and practical applicability.

Item Type:	Article
Additional Information:	The final publication is available at Springer via http://dx.doi.org/10.1007/s10270-016-0567-4.
Keywords:	business process management / declarative process mining / event log analysis / resource perspective / teamwork
Divisions:	Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document:	Accepted for Publication
Variance from Published Version:	Typographical
Depositing User:	Elena Simukovic
Date Deposited:	07 Aug 2017 12:45
Last Modified:	26 Apr 2018 23:58
Related URLs:	Publisher http://www.springer.com/de/open-access/a...
FIDES Link:	https://bach.wu.ac.at/d/research/results/78877/
URI:	https://epub.wu.ac.at/id/eprint/5685

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