Performance measurement in interdisciplinary innovation processes - Transparency through structural complexity management

Julian Wilberg, Stephanie Preißner, Christian Dengler, Kathrin Füller, Josef Gammel, Konstantin Kernschmidt, Katharina Kugler, Birgit Vogel-Heuser

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

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.

Original languageEnglish
Pages11-22
Number of pages12
StatePublished - 2016
Event18th International Dependency and Structure Modeling Conference: Sustainability in Modern Project Management, DSM 2016 - Sao Paulo, Brazil
Duration: 29 Aug 201630 Aug 2016

Conference

Conference18th International Dependency and Structure Modeling Conference: Sustainability in Modern Project Management, DSM 2016
Country/TerritoryBrazil
CitySao Paulo
Period29/08/1630/08/16

Keywords

  • Balanced scorecard
  • Innovation controlling
  • Process management
  • Structural complexity management

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