Multi-Criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation
P. Brandtner, M. Helfert, A. Auinger, K. Gaubinger - Multi-Criteria Selection in Design Science Projects – A Procedure for Selecting Foresight Methods at the Front End of Innovation - Proceedings of Tenth International Conference on Design Science Research in Information Systems and Technology, Dublin, Ireland, 2015, pp. 16
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.