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Extending CCM4DSR for Collaborative Diagnosis of Socio-Technical Problems

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Designing the Digital Transformation (DESRIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10243))

Abstract

The identification of a problem, its causes and its consequences are integral parts of designing useful solutions in Design Science Research (DSR). Many problems addressed in DSR are of a socio-technical nature, and they are collaboratively solved in multidisciplinary teams. Accordingly, analysis techniques are needed which integrate diverse perspectives of problem analysis. Colored Cognitive Mapping for DSR (CCM4DSR) is such a technique. By applying CCM4DSR to an exemplary socio-technical problem, this paper reports on observed challenges and offers four extensions to CCM4DSR. These extensions provide guidance in adequately stating the problem, considering path dependencies, explicating different stakeholder perspectives, and integrating different perspectives through a comprehensive process.

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Notes

  1. 1.

    The introduction to CCM4DSR was an essential part of a DSR course hold by John Venable at the University of St.Gallen, Switzerland, between September and October 2016. The corresponding PowerPoint slides are not published but shared on request (j.venable@curtin.edu.au).

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Acknowledgements

This work has been supported by the Swiss National Science Foundation (SNSF).

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Authors and Affiliations

  1. Institute of Information Management, University of St.Gallen, St. Gallen, Switzerland

    Raphael D. Schilling, Stephan Aier, Maximilian Brosius, M. Kazem Haki & Robert Winter

Authors
  1. Raphael D. Schilling
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  2. Stephan Aier
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  3. Maximilian Brosius
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  4. M. Kazem Haki
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  5. Robert Winter
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Corresponding author

Correspondence to Raphael D. Schilling .

Editor information

Editors and Affiliations

  1. Karlsruhe Institute of Technologie (KIT) , Karlsruhe, Germany

    Alexander Maedche

  2. University of Liechtenstein , Vaduz, Liechtenstein

    Jan vom Brocke

  3. University of South Florida , Tampa, Florida, USA

    Alan Hevner

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Schilling, R.D., Aier, S., Brosius, M., Kazem Haki, M., Winter, R. (2017). Extending CCM4DSR for Collaborative Diagnosis of Socio-Technical Problems. In: Maedche, A., vom Brocke, J., Hevner, A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science(), vol 10243. Springer, Cham. https://doi.org/10.1007/978-3-319-59144-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-59144-5_15

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  • Online ISBN: 978-3-319-59144-5

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