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Information Journal Paper

Title

VIRTUAL BENCHMARKING FOR R&D PROJECTS USING DATA ENVELOPMENT ANALYSIS (DEA)

Pages

  17-28

Abstract

BENCHMARKING is a tool for monitoring of performance and search for the best practice through learning from others. This paper introduces a new model, namely Virtual BENCHMARKING Model (VBM), for BENCHMARKING the R&D projects. This model uses the Data Envelopment Analysis (DEA) technique and identifies output's indicators based on R&D steps and addresses the problem of outputs inhomogeneous.The proposed model was examined empirically with input-output indicators captured from 30 electronics R&D projects of IROST. Results indicate that for identifying the best practices, efficiency and effectiveness criteria should be used jointly. Based on the VBM model, 17 % of R&D projects were distinguished as benchmark for other projects. The main characteristics of these projects were: 1) effective human resources planning and; 2) marketing for result of R&D projects. The use of virtual BENCHMARKING process can lead to enhance the performance of R&D projects.

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    Cite

    APA: Copy

    ABBASI, FARHAD. (2008). VIRTUAL BENCHMARKING FOR R&D PROJECTS USING DATA ENVELOPMENT ANALYSIS (DEA). JOURNAL OF SCIENCE AND TECHNOLOGY POLICY, 1(2), 17-28. SID. https://sid.ir/paper/133066/en

    Vancouver: Copy

    ABBASI FARHAD. VIRTUAL BENCHMARKING FOR R&D PROJECTS USING DATA ENVELOPMENT ANALYSIS (DEA). JOURNAL OF SCIENCE AND TECHNOLOGY POLICY[Internet]. 2008;1(2):17-28. Available from: https://sid.ir/paper/133066/en

    IEEE: Copy

    FARHAD ABBASI, “VIRTUAL BENCHMARKING FOR R&D PROJECTS USING DATA ENVELOPMENT ANALYSIS (DEA),” JOURNAL OF SCIENCE AND TECHNOLOGY POLICY, vol. 1, no. 2, pp. 17–28, 2008, [Online]. Available: https://sid.ir/paper/133066/en

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