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Obstacles and opportunities in the application of network analysis to the evaluation of R&D

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  • Juan D Rogers
  • Barry Bozeman
  • Ivan Chompalov

Abstract

A comprehensive review of studies that apply the network approach to investigating the development of S&T identifies obstacles characterizing current network research and impeding the revelation of its potential fruitfulness in research assessment. It is argued that, in order to fulfill its promise, network analysis needs to: reformulate the ‘quintessential bureaucratic evaluation question’; examine more closely untidy networks; focus on the content of network links rather than their formal aspects; and develop a concept of ‘network effectiveness’ in terms of the network's ability to expand the uses of S&T knowledge. Copyright , Beech Tree Publishing.

Suggested Citation

  • Juan D Rogers & Barry Bozeman & Ivan Chompalov, 2001. "Obstacles and opportunities in the application of network analysis to the evaluation of R&D," Research Evaluation, Oxford University Press, vol. 10(3), pages 161-172, December.
    • Handle: RePEc:oup:rseval:v:10:y:2001:i:3:p:161-172
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    File URL: http://hdl.handle.net/10.3152/147154401781777033
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    Cited by:

    1. Cecere, Grazia & Corrocher, Nicoletta & Gossart, Cédric & Ozman, Muge, 2014. "Technological pervasiveness and variety of innovators in Green ICT: A patent-based analysis," Research Policy, Elsevier, vol. 43(10), pages 1827-1839.
    2. Jordi Molas-Gallart & Pablo D’Este & Oscar Llopis & Ismael Rafols, 2016. "Towards an alternative framework for the evaluation of translational research initiatives," Research Evaluation, Oxford University Press, vol. 25(3), pages 235-243.
    3. Yongrae Cho & Wonjoon Kim, 2014. "Technology–industry networks in technology commercialization: evidence from Korean university patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1785-1810, March.
    4. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.

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