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Enterprise System Capabilities for Organizational Change in the BPM Life Cycle

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Business Process Management Workshops (BPM 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 397))

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Abstract

In recent years, the frequency of organizational change increased due to internal innovation and external forces. Classical enterprise life cycle theories expect infrequent, large-scale implementations that lead to costly and risk-intensive shakedowns after implementation. Currently, most process support systems turn to cloud solutions, and integrated systems are used as one consolidated enterprise system (ES). Processes and organizational routines are the unit of analysis for organizational change, and the BPM life cycle captures the phases involved in changing them. We apply the perspective of an ES vendor to enable sustained support within the same ES, despite inevitable change. Hence, for each phase, we identify integral and supporting capabilities, and derive corresponding features in an ES. This view is also useful to potential users to analyze vendors in regard to capabilities for expected change.

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Authors and Affiliations

  1. Chair of Digital Industrial Service Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Nuremberg, Germany

    Johannes Tenschert, Willi Tang & Martin Matzner

Authors
  1. Johannes Tenschert
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  2. Willi Tang
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  3. Martin Matzner
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Corresponding author

Correspondence to Johannes Tenschert .

Editor information

Editors and Affiliations

  1. Universidad de Sevilla, Seville, Spain

    Adela Del Río Ortega

  2. Kühne Logistics University, Hamburg, Germany

    Henrik Leopold

  3. Universidade do Estado do Rio de Janeiro – UERJ, Rio de Janeiro, Brazil

    Flávia Maria Santoro

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Tenschert, J., Tang, W., Matzner, M. (2020). Enterprise System Capabilities for Organizational Change in the BPM Life Cycle. In: Del Río Ortega, A., Leopold, H., Santoro, F.M. (eds) Business Process Management Workshops. BPM 2020. Lecture Notes in Business Information Processing, vol 397. Springer, Cham. https://doi.org/10.1007/978-3-030-66498-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-66498-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66497-8

  • Online ISBN: 978-3-030-66498-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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