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Investigating triple helix relationships using URL citations: a case study of the UK West Midlands automobile industry

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  • David Stuart
  • Mike Thelwall

Abstract

The growth in the importance of co-operation between universities, industry and government to contemporary research has created a need to understand how cross-sector research collaborations occur in practice. Hence quantitative methods are needed to identify and assess the strength of connections within particular university- industry-government groups. The Web is a free source of timely information about all three sectors and hence should be tested for whether it can deliver relevant information. In this project, the potential use of web URL citations, collected through Google's API, as weak benchmarking indicators to estimate the levels of collaboration between different organisations, is explored through a case study of the automobile industry in the UK West Midlands region. URL citation practices are found to differ, depending on whether the website belongs to an academic, commercial, or governmental organisation. While URL citations may sometimes reflect real-world relationships, most real-world relationships probably do not result in an URL citation, particularly in the commercial sector. Copyright , Beech Tree Publishing.

Suggested Citation

  • David Stuart & Mike Thelwall, 2006. "Investigating triple helix relationships using URL citations: a case study of the UK West Midlands automobile industry," Research Evaluation, Oxford University Press, vol. 15(2), pages 97-106, August.
    • Handle: RePEc:oup:rseval:v:15:y:2006:i:2:p:97-106
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    File URL: http://hdl.handle.net/10.3152/147154406781775968
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    Cited by:

    1. Judit Bar-Ilan & Rina Azoulay, 2012. "Map of nonprofit organization websites in Israel," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1142-1167, June.
    2. Enrique Orduna-Malea & Selenay Aytac, 2015. "Revealing the online network between university and industry: the case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1849-1866, December.
    3. José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.
    4. Pardeep Sud & Mike Thelwall, 2014. "Linked title mentions: a new automated link search candidate," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1831-1849, December.
    5. Kim Holmberg & Mike Thelwall, 2009. "Local government web sites in Finland: A geographic and webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 157-169, April.

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