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Adaptation of Business Process Management to Requirements of Small and Medium-Sized Enterprises in the Context of Strategic Flexibility

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

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Abstract

Business Process Management (BPM) has become a necessity for companies in a highly competitive business environment, as it is a powerful tool to enhance process and service performance. Unfortunately, BPM is primary linked to parameters in larger enterprises; no flexible and effective methods for a practical application are available for specific constraints of Small and Medium-sized Enterprises (SME). As a sequentially result, BPM for SMEs still remains largely atheoretical. Critical success factors in literature are often case-specific or of a generic kind and most of those papers fail to put their research within a theoretical grounded framework. This research focuses on maintaining the strategic flexibility and explores the situation in SMEs as well as the possibilities for an adaptation of an agile BPM within this type of companies. Aim is to propose a model that links business process management, organizational behavior and a framework for an adoption of BPM within this type of companies.

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Authors and Affiliations

  1. University of the West of Scotland, Paisley, UK

    Felix Reher

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  1. Felix Reher
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Correspondence to Felix Reher .

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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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Reher, F. (2015). Adaptation of Business Process Management to Requirements of Small and Medium-Sized Enterprises in the Context of Strategic Flexibility. 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_48

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  • DOI: https://doi.org/10.1007/978-3-319-15895-2_48

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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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