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Multi-criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation

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New Horizons in Design Science: Broadening the Research Agenda (DESRIST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9073))

Abstract

In order to identify the best option(s) out of a set of alternatives selection procedures are used in many different fields of application. Depending on the respective setting and research domain, developing or selecting an appropriate selection procedure is a complex and challenging task. This paper proposes a procedure for selecting a set of options out of a large amount of alternatives. The procedure is used within a Design Science Context. It has been developed, applied and evaluated in the course of a current research project addressing the highly dynamic Front End of Innovation. This represents a classic “wicked” and challenging Design Science problem. The selection procedure proposed in this paper can serve as a reference framework for other Design Science based projects in similar “wicked” application domains, where a theory- and practice-based definition of selection criteria and a structured evaluation process requires comprehensive domain knowledge and deep practical insights.

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Authors and Affiliations

  1. University of Applied Sciences Upper Austria, Campus Steyr, Austria

    Patrick Brandtner & Andreas Auinger

  2. Dublin City University, Dublin, Ireland

    Markus Helfert

  3. University of Applied Sciences Upper Austria, Campus Wels, Austria

    Kurt Gaubinger

Authors
  1. Patrick Brandtner
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  2. Markus Helfert
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  3. Andreas Auinger
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  4. Kurt Gaubinger
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Corresponding author

Correspondence to Patrick Brandtner .

Editor information

Editors and Affiliations

  1. Maynooth University, Maynooth, Ireland

    Brian Donnellan

  2. Dublin City University, Dublin, Ireland

    Markus Helfert

  3. Intel Labs Europe, Leixlip, Ireland

    Jim Kenneally

  4. Florida International University, Miami, Florida, USA

    Debra VanderMeer

  5. University of Nevada, Las Vegas, Nevada, USA

    Marcus Rothenberger

  6. Universität St. Gallen, St. Gallen, Switzerland

    Robert Winter

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Brandtner, P., Helfert, M., Auinger, A., Gaubinger, K. (2015). Multi-criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation. In: Donnellan, B., Helfert, M., Kenneally, J., VanderMeer, D., Rothenberger, M., Winter, R. (eds) New Horizons in Design Science: Broadening the Research Agenda. DESRIST 2015. Lecture Notes in Computer Science(), vol 9073. Springer, Cham. https://doi.org/10.1007/978-3-319-18714-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-18714-3_19

  • Publisher Name: Springer, Cham

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