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Business Process Modeling Pluralized

  • Conference paper
S-BPM ONE - Running Processes (S-BPM ONE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 360))

Abstract

Traditional centralized business process management approaches pose difficulties in coping with rapid changes and evolving process models. We developed the Plural method to allow for decentralized modeling of processes. The Plural method enables process participants, rather than a centralized group of process engineers or managers, to model and maintain their processes. In previous works, we introduced the Plural method and discussed its applications in case studies. This paper elaborates more into the notation component of the Plural method. We describe the diagram types used for capturing process information. We also present a case study performed in a small web application development company. We discuss the results together with a synthesis of the findings and lessons learned from our previous case studies.

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Author information

Authors and Affiliations

  1. Information Systems Group, School of Industrial Engr., Eindhoven University of Technology, De Lismortel 2, Pav.D.08, 5600, MB, Eindhoven, Netherlands

    Oktay Turetken

  2. Informatics Institute, Middle East Technical University, 06531, Ankara, Turkey

    Onur Demirors

Authors
  1. Oktay Turetken
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  2. Onur Demirors
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Editor information

Editors and Affiliations

  1. Deggendorf University of Applied Sciences, Edlmairstraße 6+8, 94469, Deggendorf, Germany

    Herbert Fischer  & Josef Schneeberger  & 

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Turetken, O., Demirors, O. (2013). Business Process Modeling Pluralized. In: Fischer, H., Schneeberger, J. (eds) S-BPM ONE - Running Processes. S-BPM ONE 2013. Communications in Computer and Information Science, vol 360. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36754-0_3

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  • DOI: https://doi.org/10.1007/978-3-642-36754-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36753-3

  • Online ISBN: 978-3-642-36754-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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