Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Performance measurement in interdisciplinary innovation processes – Transparency through structural complexity management
Wilberg, Julian; Preißner, Stephanie; Dengler, Christian; Füller, Kathrin; Gammel, Josef; Kernschmidt, Konstantin; Kugler, Katharina; Vogel-Heuser, Birgit
Type:
Year:
2016
Editor:
Marly Monteiro de Carvalho, Steven D. Eppinger, Maik Maurer, Lucia Becerril
Author:
Wilberg, Julian; Preißner, Stephanie; Dengler, Christian; Füller, Kathrin; Gammel, Josef; Kernschmidt, Konstantin; Kugler, Katharina; Vogel-Heuser, Birgit
Series:
DSM
Institution:
Technical University of Munich; Ludwig-Maximilians-Universität München
Section:
Managing Design and Innovation
Page(s):
011-022
DOI number:
ISBN:
978-85-63710-01-7
Abstract:
Performance measurement and controlling of innovation processes are essential for the successful development and implementation of new products and services. Firms need to understand drivers of success or failure within their innovative performance. Despite the recognized value of innovation controlling, adequate performance measurement in innovation processes is hard to accomplish, particularly in complex interdisciplinary settings and / or for complex product-service systems (instead of pure product offerings). In this paper, we develop and apply matrix-based approaches from structural complexity management to the field of innovation controlling. We use DMMs and a MDM to match economic impacts of interdisciplinary models and methods in the innovation process with strategic business goals and firm performance indicators represented in a Balanced Scorecard. Our approach facilitates the selection of relevant performance indicators, research methods and models for companies trying to achieve their business goals.
Keywords:
