-Designing and Implementing a Performance ‎Measurement Model at R&D Centers:‎ Combining Data Envelopment Analysis and ‎Balanced Scorecard

The need for designing and implementing performance assessment systems at ‎R&D centers is one of the urgent issues of all industries. Assessment of R&D ‎projects has become one of the most challenging decision making issues for ‎the managers of R&D centers. Multi-criteria decision making methods have so ‎far been used for the assessment of R&D projects in different stages of their ‎lifecycle. Our approach is to develop Data Envelopment Analysis by ‎combining Balanced Scorecard and Data Envelopment Analysis. Inputs and ‎outputs for the integrated DEA-BSC model have been extracted from ‎‎“Balanced Scorecard for R&D projects”. The major goals of the integrated ‎DEA-BSC approach are as follows: increasing the reliability of inputs and ‎outputs criteria, improving the calculated efficiency of all sections and striking ‎a balance between the efficiency and the effectiveness of different sections. ‎This model has been implemented in an industrial research laboratory for ‎R&D projects as a case study. The results showed that synergizing between ‎BSC and DEA in R&D projects causes the: achieving of the expected ‎objectives of each project and balancing and optimizing the usage of resources ‎to meet the desired outputs.‎

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