Notation-agnostic Subprocess Modeling for Adaptive Case Management

Tenschert J, Dunzer S, Matzner M (2021)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2021

Publisher: AIS

Edited Volumes: Wirtschaftsinformatik 2021 Proceedings

Book Volume: 48 LNISO

Pages Range: 359-375

Conference Proceedings Title: Lecture Notes in Information Systems and Organisation

Event location: Duisburg, DEU

ISBN: 9783030867997

URI: https://aisel.aisnet.org/wi2021/DEnterpriseModelling21/Track21/12/

DOI: 10.1007/978-3-030-86800-0_25

Abstract

Even though knowledge work comprises tasks that cannot be modeled a priori, some structure for routine work or an outlined course of action is often necessary. Knowledge workers perform structured and ad-hoc activities – and a wide range of requirements typically yields many tools. To avoid redundant and scattered process information, a single system of record capable of consolidating flexibility and modeling of different aspects of processes is desirable. For knowledge-intensive processes, we outline how to combine process models for structured routine aspects with the ad-hoc activities and flexibility of social software in the same context. Therefore, a case comprises modeled subprocesses as well as ad-hoc activities and artifacts. The shared context allows to transparently combine aspects and deviate from predefined models. We prototypically implement our approach and show that ad-hoc project management and different notations can be applied within the same case.

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How to cite

APA:

Tenschert, J., Dunzer, S., & Matzner, M. (2021). Notation-agnostic Subprocess Modeling for Adaptive Case Management. In Frederik Ahlemann, Reinhard Schütte, Stefan Stieglitz (Eds.), Lecture Notes in Information Systems and Organisation (pp. 359-375). Duisburg, DEU: AIS.

MLA:

Tenschert, Johannes, Sebastian Dunzer, and Martin Matzner. "Notation-agnostic Subprocess Modeling for Adaptive Case Management." Proceedings of the International Conference on Wirtschaftsinformatik, WI 2021, Duisburg, DEU Ed. Frederik Ahlemann, Reinhard Schütte, Stefan Stieglitz, AIS, 2021. 359-375.

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