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oBPM – An Opportunistic Approach to Business Process Modeling and Execution

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Business Process Management Workshops (BPM 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 202))

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Abstract

Traditional workflow management systems are suited to automate well-structured processes based on a strict sequence of user tasks and a top-down approach to model creation. Such a conventional approach does not comply with the bottom-up philosophy of social software and therefore makes it difficult to incorporate its strengths in process modeling and automation. Opportunistic Business Process Modeling (oBPM) aims to overcome these limitations by introducing a new paradigm for modeling and executing business processes that is both user- and document-centric, adequate for bottom-up modeling, agile process modification, opportunistic task scheduling and process mining.

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Notes

  1. 1.

    We use the term <document> as a synonym for any kind of artefact.

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Author information

Authors and Affiliations

  1. ZHAW School of Management and Law, Institute for Business Information Management, 8401, Winterthur, Switzerland

    David Grünert, Elke Brucker-Kley & Thomas Keller

Authors
  1. David Grünert
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  2. Elke Brucker-Kley
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  3. Thomas Keller
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Corresponding author

Correspondence to David Grünert .

Editor information

Editors and Affiliations

  1. IBM Research – Haifa, Haifa, Israel

    Fabiana Fournier

  2. Vienna University of Economics and Business, Vienna, Austria

    Jan Mendling

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Grünert, D., Brucker-Kley, E., Keller, T. (2015). oBPM – An Opportunistic Approach to Business Process Modeling and Execution. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_40

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  • DOI: https://doi.org/10.1007/978-3-319-15895-2_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15894-5

  • Online ISBN: 978-3-319-15895-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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