الگويابي مجازي در فعاليت هاي تحقيق و توسعه به كمك تحليل پوششي داده ها

Virtual Benchmarking for R&D Projects Using Data Envelopment Analysis (DEA)

Benchmarking is a tool for monitoring performance and searching for best practice through learning from others. This paper introduces a new model, namely the Virtual Benchmarking Model (YBM), for benchmarking the R&D projects. This model uses the Data Envelopment Analysis (DEA) technique and identifies output indicators based on R&D steps and addresses the problem of non-homogeneous outputs. The proposed model was examined empirically using input-output indicators captured from 30 electronics R&D projects in IROST. Results indicate that, efficiency and effectiveness criteria should be used jointly for identifying the best practices. Based on the VOM model. 17 % of R&D projects were distinguished as providing benchmarks for other projects. The main characteristics of these projects were I) effect! ve human resource planning and 2) marketing the results of R&D projects. Usc of the virtual benchmarking process can lead to enhancement of the performance of R& D projects.