Abstract
This paper has twofold purpose. Firstly, an assessment method aimed to evaluate R&D strategic performance indicators is introduced. The proposed framework is based on fuzzy set theory which represents an adequate tool for quantitatively describing the vague and ambiguous nature of the R&D function. The second purpose of the paper is to analyze relevant R&D performance indicators in Magneti Marelli S.p.A. Serbia, a leading supplier in Serbian automotive industry. Specific findings of this empirical analysis are discussed and suggestions for further research are provided.
Highlights
The measurement and evaluation of R&D performance has always posed a very challenging task to managers, primarily because of the long gestation period and difficulties in identifying a tangible output
In this paper we developed a model in which the R&D performance indicators are estimated by fuzzy numbers
Measurement of R&D performance indicators is very important task for managers because it provides information needed for the effective management and improvement of the overall R&D function
Summary
The measurement and evaluation of R&D performance has always posed a very challenging task to managers, primarily because of the long gestation period and difficulties in identifying a tangible output. Since the effort levels are not easy observable and since there is high uncertainty in success, influenced by various uncontrollable factors, R&D has a larger extent of problems associated with performance measurement. One of the crucial motives for measuring R&D performance is validation of the chosen investment level on research and development. Lee et al pointed out that measurement of R&D efficiency must be conducted to determine whether the investment is justified and whether its maximum productivity is achieved (Lee et al, 1996). Improvements in methods and processes for assessing and managing R&D function are gaining more and more significance
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
