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New directions in the use of network analysis in research and product development evaluation

Author

Listed:
  • Jonathon E Mote
  • Gretchen Jordan
  • Jerald Hage
  • Yuko Whitestone

Abstract

In recent years, the use of social network analysis (SNA) has received increased attention in R&D evaluation. While SNA provides insights into communication and knowledge flows, its efficacy in evaluation methodology remains unclear. As Rogers et al (2001) discuss, the applicability of SNA in the evaluation of R&D is marked by several shortcomings, such as the weakness of understanding the content of ties and the inability to identify a generalizable concept of network effectiveness. This paper explores these issues through a discussion of two recent studies of social networks in R&D and concludes with an assessment of the results of these studies using the challenges outlined by Rogers et al. Copyright , Beech Tree Publishing.

Suggested Citation

  • Jonathon E Mote & Gretchen Jordan & Jerald Hage & Yuko Whitestone, 2007. "New directions in the use of network analysis in research and product development evaluation," Research Evaluation, Oxford University Press, vol. 16(3), pages 191-203, September.
    • Handle: RePEc:oup:rseval:v:16:y:2007:i:3:p:191-203
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    File URL: http://hdl.handle.net/10.3152/095820207X235746
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    Cited by:

    1. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    2. Mote, Jonathon E. & Whitestone, Yuko, 2011. "The social context of informal commuting: Slugs, strangers and structuration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 258-268, May.
    3. Hochull Choe & Duk Hee Lee, 2017. "The structure and change of the research collaboration network in Korea (2000–2011): network analysis of joint patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 917-939, May.
    4. Inkyung Cho & Jungkyu Park & Eunnyeong Heo, 2018. "Measuring Knowledge Diffusion in Water Resources Research and Development: The Case of Korea," Sustainability, MDPI, vol. 10(8), pages 1-15, August.

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