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

Patrick Brandtner; Markus Helfert; Andreas Auinger; Kurt Gaubinger

doi:10.1007/978-3-319-18714-3_19

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

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In order to identify the best option(s) out of a set of alternatives se-lection procedures are used in many different fields of application. Depending on the respective setting and research domain, developing or selecting an ap-propriate 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 al-ternatives. The procedure is used within a Design Science Context. It has been developed, applied and evaluated in the course of a current research project ad-dressing 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 Sci-ence 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.

Original language	English
Title of host publication	New Horizons in Design Science
Subtitle of host publication	Broadening the Research Agenda - 10th International Conference, DESRIST 2015, Proceedings
Editors	Brian Donnellan, Debra VanderMeer, Jim Kenneally, Robert Winter, Marcus Rothenberger, Markus Helfert
Publisher	Springer
Pages	295-310
Number of pages	16
ISBN (Electronic)	9783319187136
DOIs	https://doi.org/10.1007/978-3-319-18714-3_19
Publication status	Published - 2015
Event	Tenth International Conference on Design Science Research in Information Systems and Technology - Dublin, Ireland Duration: 21 May 2015 → 22 May 2015 http://desrist2015.computing.dcu.ie/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9073
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Tenth International Conference on Design Science Research in Information Systems and Technology
Country/Territory	Ireland
City	Dublin
Period	21.05.2015 → 22.05.2015
Internet address	http://desrist2015.computing.dcu.ie/

Keywords

Corporate Foresight
Design Science Research
Focus Group Study
Front End of Innovation
Selection procedure

Access to Document

10.1007/978-3-319-18714-3_19

Cite this

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 B. Donnellan, D. VanderMeer, J. Kenneally, R. Winter, M. Rothenberger, & M. Helfert (Eds.), New Horizons in Design Science: Broadening the Research Agenda - 10th International Conference, DESRIST 2015, Proceedings (pp. 295-310). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9073). Springer. https://doi.org/10.1007/978-3-319-18714-3_19

Brandtner, Patrick ; Helfert, Markus ; Auinger, Andreas et al. / Multi-Criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation. New Horizons in Design Science: Broadening the Research Agenda - 10th International Conference, DESRIST 2015, Proceedings. editor / Brian Donnellan ; Debra VanderMeer ; Jim Kenneally ; Robert Winter ; Marcus Rothenberger ; Markus Helfert. Springer, 2015. pp. 295-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In order to identify the best option(s) out of a set of alternatives se-lection procedures are used in many different fields of application. Depending on the respective setting and research domain, developing or selecting an ap-propriate 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 al-ternatives. The procedure is used within a Design Science Context. It has been developed, applied and evaluated in the course of a current research project ad-dressing 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 Sci-ence 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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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 B Donnellan, D VanderMeer, J Kenneally, R Winter, M Rothenberger & M Helfert (eds), New Horizons in Design Science: Broadening the Research Agenda - 10th International Conference, DESRIST 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9073, Springer, pp. 295-310, Tenth International Conference on Design Science Research in Information Systems and Technology, Dublin, Ireland, 21.05.2015. https://doi.org/10.1007/978-3-319-18714-3_19

Multi-Criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation. / Brandtner, Patrick; Helfert, Markus; Auinger, Andreas et al.
New Horizons in Design Science: Broadening the Research Agenda - 10th International Conference, DESRIST 2015, Proceedings. ed. / Brian Donnellan; Debra VanderMeer; Jim Kenneally; Robert Winter; Marcus Rothenberger; Markus Helfert. Springer, 2015. p. 295-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9073).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

TY - GEN

T1 - Multi-Criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation

AU - Brandtner, Patrick

AU - Helfert, Markus

AU - Auinger, Andreas

AU - Gaubinger, Kurt

PY - 2015

Y1 - 2015

N2 - In order to identify the best option(s) out of a set of alternatives se-lection procedures are used in many different fields of application. Depending on the respective setting and research domain, developing or selecting an ap-propriate 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 al-ternatives. The procedure is used within a Design Science Context. It has been developed, applied and evaluated in the course of a current research project ad-dressing 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 Sci-ence 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.

AB - In order to identify the best option(s) out of a set of alternatives se-lection procedures are used in many different fields of application. Depending on the respective setting and research domain, developing or selecting an ap-propriate 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 al-ternatives. The procedure is used within a Design Science Context. It has been developed, applied and evaluated in the course of a current research project ad-dressing 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 Sci-ence 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.

KW - Corporate Foresight

KW - Design Science Research

KW - Focus Group Study

KW - Front End of Innovation

KW - Selection procedure

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U2 - 10.1007/978-3-319-18714-3_19

DO - 10.1007/978-3-319-18714-3_19

M3 - Conference contribution

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 295

EP - 310

BT - New Horizons in Design Science

A2 - Donnellan, Brian

A2 - VanderMeer, Debra

A2 - Kenneally, Jim

A2 - Winter, Robert

A2 - Rothenberger, Marcus

A2 - Helfert, Markus

PB - Springer

T2 - Tenth International Conference on Design Science Research in Information Systems and Technology

Y2 - 21 May 2015 through 22 May 2015

ER -

Brandtner P, Helfert M, Auinger A , Gaubinger K. Multi-Criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation. In Donnellan B, VanderMeer D, Kenneally J, Winter R, Rothenberger M, Helfert M, editors, New Horizons in Design Science: Broadening the Research Agenda - 10th International Conference, DESRIST 2015, Proceedings. Springer. 2015. p. 295-310. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-18714-3_19

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

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