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Structuring Business Objectives: A Business Process Modeling Perspective

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Business Process Management (BPM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2678))

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Abstract

Business process modeling assists an enterprise to achieve strategic objectives by providing methodology and tools to develop integrated business process models, however there is little discussion on how to identify the strategic objectives or how process and functional objectives link to the strategic objectives. On the other hand, decision-modeling literature offers well-established techniques for identification of strategic objectives and associated objectives networks but lacks discussion of the processes and functions aimed at achieving these objectives. That neither discipline can provide business with an overall solution is the main problem addressed by this paper through development of a formalized model for linking the two sets of objectives. The resulting model is used to analyze the links between different types of objectives and as a basis for a practical implementation procedure for business modeling. Concepts discussed in the paper are illustrated within a Human Resources context.

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Author information

Authors and Affiliations

  1. School of Business Systems, Faculty of Information Technology, Monash University, PO Box 63B, Victoria, 3800, Australia

    Dina Neiger & Leonid Churilov

Authors
  1. Dina Neiger
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  2. Leonid Churilov
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Editor information

Editors and Affiliations

  1. Department of Information and Technology, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands

    Wil M. P. van der Aalst

  2. Hasso Plattner Institute for Software Systems Engineering, Potsdam University, Prof.-Dr.-Helmert-Str. 2-3, 14482, Potsdam, Germany

    Mathias Weske

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Neiger, D., Churilov, L. (2003). Structuring Business Objectives: A Business Process Modeling Perspective. In: van der Aalst, W.M.P., Weske, M. (eds) Business Process Management. BPM 2003. Lecture Notes in Computer Science, vol 2678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44895-0_6

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  • DOI: https://doi.org/10.1007/3-540-44895-0_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40318-0

  • Online ISBN: 978-3-540-44895-2

  • eBook Packages: Springer Book Archive

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