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Evaluating performance of national R&D organizations using integrated DEA‐AHP technique

Author

Listed:
  • Jyoti
  • D.K. Banwet
  • S.G. Deshmukh

Abstract

Purpose - The purpose of this paper is to evaluate and compare the performance of national R&D organizations in India in terms of their relative efficiencies using a multiple output measurement criteria incorporating the quality of the output measures. Design/methodology/approach - An integrated data envelopment analysis (DEA) and analytic hierarchy process (AHP) has been used. Findings - The relative efficiency for national R&D organizations is obtained not only based on quantity of output, but also on the basis of quality of the output and provides more comprehensive and realistic results to the decision makers in identifying the benchmark national R&D organizations and inefficient organizations. Research limitations/implications - Owing to difficulty in approaching all the departments, the application of the model is limited to a small group of Indian national R&D organizations. This model can be extended for various departments/agencies heading various national R&D organizations in India as well as in other countries according to their requirement and suitability. Practical implications - This model provides a more comprehensive method to the policy makers for evaluating the performance of national R&D organizations in terms of their relative efficiencies also incorporating the quality of the output measures. The results provide the indicators to the policy makers for redesigning the R&D processes in the inefficient national R&D organizations. Originality/value - In the context of R&D, an integrated DEA‐AHP model is applied for the first time to evaluate the performance of national R&D organizations in terms of their relative efficiency obtained not only on the quantity of the output taken, but also on the quality of the output.

Suggested Citation

  • Jyoti & D.K. Banwet & S.G. Deshmukh, 2008. "Evaluating performance of national R&D organizations using integrated DEA‐AHP technique," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(5), pages 370-388, June.
    • Handle: RePEc:eme:ijppmp:v:57:y:2008:i:5:p:370-388
    DOI: 10.1108/17410400810881836
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    Citations

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    Cited by:

    1. Yousaf Ali & Muhammad Sabir & Noor Muhammad, 2019. "Refugees and Host Country Nexus: a Case Study of Pakistan," Journal of International Migration and Integration, Springer, vol. 20(1), pages 137-153, February.
    2. Santos, Sérgio P. & Belton, Valerie & Howick, Susan & Pilkington, Martin, 2018. "Measuring organisational performance using a mix of OR methods," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 18-30.
    3. Mei Ho & John Liu & Wen-Min Lu & Chien-Cheng Huang, 2014. "A new perspective to explore the technology transfer efficiencies in US universities," The Journal of Technology Transfer, Springer, vol. 39(2), pages 247-275, April.
    4. Seyed Saeed Hosseinian & Hamidreza Navidi & Abas Hajfathaliha, 2012. "A New Linear Programming Method for Weights Generation and Group Decision Making in the Analytic Hierarchy Process," Group Decision and Negotiation, Springer, vol. 21(3), pages 233-254, May.
    5. Mohammad Pakkar, 2015. "An integrated approach based on DEA and AHP," Computational Management Science, Springer, vol. 12(1), pages 153-169, January.

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