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Towards Flexible Business Processes by Supporting Self-Organizing Groups

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Innovations in Enterprise Information Systems Management and Engineering (ERP Future 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 285))

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Abstract

Self-organizing groups are one of the most flexible and complex type of business process adaptations. The actors of a self-organizing group have to communicate with each other and adjust their activities in order to attain a common goal. A major advantage of self-organizing groups is the possibility to leave parts of the process flow unspecified but define the corresponding activities at run-time based on dynamic coordination. In this publication we summarize the requirements of self-organizing groups and provide an approach on how to use an unconventional process engine to support the participants of self-organizing groups to manage their tasks.

The research reported in this paper has been supported by the Austrian Ministry for Transport, Innovation and Technology, the Federal Ministry of Science, Research and Economy, and the Province of Upper Austria in the frame of the COMET center SCCH. This publication has been written within the project AdaBPM (number 842437), which is funded by the Austrian Research Promotion Agency (FFG).

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Authors and Affiliations

  1. Software Competence Center Hagenberg GmbH, Hagenberg, Austria

    Christa Illibauer & Christine Natschläger

Authors
  1. Christa Illibauer
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  2. Christine Natschläger
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Corresponding author

Correspondence to Christa Illibauer .

Editor information

Editors and Affiliations

  1. Andrassy University Budapest , Budapest, Hungary

    Felix Piazolo

  2. Software Competence Center Hagenberg , Hagenberg, Austria

    Verena Geist

  3. Munich University of Applied Sciences , Munich, Germany

    Lars Brehm

  4. Munich University of Applied Sciences , Munich, Germany

    Rainer Schmidt

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Illibauer, C., Natschläger, C. (2017). Towards Flexible Business Processes by Supporting Self-Organizing Groups. In: Piazolo, F., Geist, V., Brehm, L., Schmidt, R. (eds) Innovations in Enterprise Information Systems Management and Engineering. ERP Future 2016. Lecture Notes in Business Information Processing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-58801-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-58801-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58800-1

  • Online ISBN: 978-3-319-58801-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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