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Process Performance Management – Identifying Stereotype Problem Situations as a Basis for Effective and Efficient Design Research

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Global Perspectives on Design Science Research (DESRIST 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6105))

Abstract

Just recently many organisations get involved with process performance management (PPM). It appears, however, that PPM initiatives confront organisations with multi-faceted and complex challenges that call for a detailed problem analysis before any solution is developed. In this paper we introduce two patterns for identifying stereotype problem situations in design research (DR) and apply one to the field of PPM. The application gives detailed insights into typical PPM problem situations and illustrates the usefulness of our approach.

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Author information

Authors and Affiliations

  1. Institute of Information Management, University of St. Gallen, Mueller-Friedberg-Strasse 8, 9000, St. Gallen, Switzerland

    Anne Cleven, Felix Wortmann & Robert Winter

Authors
  1. Anne Cleven
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  2. Felix Wortmann
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  3. Robert Winter
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Editors and Affiliations

  1. Institute of Information Management, University of St. Gallen, Müller-Friedberg-Strasse 8, 9000, St. Gallen, Switzerland

    Robert Winter

  2. Department of Information Systems, City University of Hong Kong, Kowloon, Hong Kong, China

    J. Leon Zhao

  3. Institut of Information Management, University of St. Gallen, Mueller-Friedberg-Strasse 8, 9000, St. Gallen, Switzerland

    Stephan Aier

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Cleven, A., Wortmann, F., Winter, R. (2010). Process Performance Management – Identifying Stereotype Problem Situations as a Basis for Effective and Efficient Design Research. In: Winter, R., Zhao, J.L., Aier, S. (eds) Global Perspectives on Design Science Research. DESRIST 2010. Lecture Notes in Computer Science, vol 6105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13335-0_21

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  • DOI: https://doi.org/10.1007/978-3-642-13335-0_21

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  • Print ISBN: 978-3-642-13334-3

  • Online ISBN: 978-3-642-13335-0

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