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Business Process Management pp 339–364Cite as

Fuzzy Cognitive Strategic Maps in Business Process Performance Measurement

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 444))

Abstract

This paper describes a methodology for the development of a Proactive Balanced Scorecard (PBSCM). The Balanced Scorecard is one of the most popular approaches developed in the field of performance measurement. However, in spite of its reputation, there are issues that require further research. The present research addresses the problems of the Balanced Scorecard by utilizing the soft computing characteristics of Fuzzy Cognitive Maps (FCMs). By using FCMs, the proposed methodology generates a dynamic network of interconnected Key Performance Indicators (KPI), simulates each KPI with imprecise relationships and quantifies the impact of each KPI to other KPIs in order to adjust targets of performance.

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Author information

Authors and Affiliations

  1. Faculty of Business and Management, University of Wallangong, Dubai, United Arab Emirates

    Michael Glykas

  2. Department of Financial and Management Engineering, University of Aegean, 31, Fostini Street, Chios, 82 100, Greece

    Michael Glykas

  3. Aegean Technopolis, The Technology Park of the Aegean Region, Chios, Greece

    Michael Glykas

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  1. Michael Glykas
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Editors and Affiliations

  1. , Department of Financial and Management, University of the Aegean, Fostini Street 31, Chios, 82100, Greece

    Michael Glykas

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Glykas, M. (2013). Fuzzy Cognitive Strategic Maps in Business Process Performance Measurement. In: Glykas, M. (eds) Business Process Management. Studies in Computational Intelligence, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28409-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-28409-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28408-3

  • Online ISBN: 978-3-642-28409-0

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