Testing the value of TRIZ and its derivatives for knowledge transfer in problem solving attempts by multidisciplinary teams
Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Schöfer, Malte; Maranzana, Nicolas; Aoussat, Ameziane; Bersano, Giacomo
Institution: 1: LCPI, Arts et Métiers ParisTech, France; 2: Active Innovation Management, France
The design process of ever more complex products requires an increasing amount of knowledge originating in ever more distant domains of expertise. However, in order to make the knowledge transfer (KT) process more effective, researchers ask for processes which foster the transformation and translation of knowledge. In this respect, KT approaches which are based on the systematic use of electronic databases have their limits. Therefore we claim that there is a need for a framework capable of facilitating multidirectional knowledge sharing and thus knowledge transfer during face-to-face working sessions. We think that the well recognized performance of TRIZ and its derivatives in technological problem solving can be transferred to problem identification, modeling and solving in other domains like life sciences. Thus the said methodologies could contribute significantly to innovative product design by linking problems to solutions in distant domains. In this article, we report on a large scale experiment to test this assumption and present some interesting findings on the influence of group composition and methodology on KT during problem solving attempts by multidisciplinary teams.