Managers are increasingly concerned with the typical methods
available for organizational performance measurement and control.
Research into performance measurement, within the field of
innovation management, has been variously approached through
frameworks for performance measurement in general (for example, the
Balanced Scorecard by Norton and Kaplan), R&D performance
management, and surveys on in-use Key Performance Indicators
(KPIs). It is striking, however, that
almost no research has focused explicitly on the performance
measurement of research activities, or indeed tried to develop a
systematic approach to setting KPIs for specific research
goals.
This work, in co-operation with ABB Research, Deutsche Telekom
AG Laboratories, EMC2 Advanced Technology Solutions, IBM Research,
Intel Research, Microsoft Research,
Philips Research, and SAP Research, develops a systematic
approach to performance measurement for industrial research
organizations in innovation-driven companies.
The following questions are addressed:
(1) Which research goals do research departments have?
(2) Which KPIs do they use to monitor the achievement of these
goals?
(3) Is there a systematic best-practice approach to selecting
KPIs for performance goals?
The outcome is a complete set of eleven performance clusters,
such as the transfer of research results to the development or
other organizational departments, and each cluster has its own set
of KPIs. The eleven clusters are: Technology Transfer, Future
Business Opportunities, Technical Achievements, Intellectual
Property, Operational Excellence, Talent Pool, Image, Publications,
Presence in Scientific Community, Collaboration with Academia,
Collaboration with Partners and Customers.
This work led to the creation of the Institute for Industrial
Research Performance Management that provides ongoing research and
insights for managers of industrial research organizations.
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