IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v105y2015i3d10.1007_s11192-015-1596-4.html
   My bibliography  Save this article

Revealing the online network between university and industry: the case of Turkey

Author

Listed:
  • Enrique Orduna-Malea

    (Polytechnic University of Valencia)

  • Selenay Aytac

    (Long Island University)

Abstract

The present paper attempts to explore the relationship between the Turkish academic and industry systems by mapping the relationships under web indicators. We used the top 100 Turkish universities and the top 10 Turkish companies in 10 industrial sectors in order to observe the performance of web impact indicators. Total page count metric is obtained through Google Turkey and the pure link metrics have been gathered from Open Site Explorer. The indicators obtained both for web presence and web visibility indicated that there are significant differences between the group of academic institutions and those related to companies within the web space of Turkey. However, this current study is exploratory and should be replicated with a larger sample of both Turkish universities and companies in each sector. Likewise, a longitudinal study rather than sectional would eliminate or smooth fluctuations of web data (especially URL mentions) as a more adequate understanding of the relations between Turkish institutions, and their web impact, is reached.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1596-4
    DOI: 10.1007/s11192-015-1596-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1596-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-015-1596-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university‐industry‐government relationship in Korea," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    2. Liwen Vaughan & Rongbin Yang, 2012. "Web data as academic and business quality estimates: A comparison of three data sources," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(10), pages 1960-1972, October.
    3. Liwen Vaughan & Yijun Gao & Margaret Kipp, 2006. "Why are hyperlinks to business Websites created? A content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(2), pages 291-300, May.
    4. Loet Leydesdorff & Henry Etzkowitz, 1996. "Emergence of a Triple Helix of university—industry—government relations," Science and Public Policy, Oxford University Press, vol. 23(5), pages 279-286, October.
    5. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    6. Liwen Vaughan & Mike Thelwall, 2003. "Scholarly use of the Web: What are the key inducers of links to journal Web sites?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(1), pages 29-38, January.
    7. Liwen Vaughan, 2006. "Visualizing linguistic and cultural differences using Web co‐link data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1178-1193, July.
    8. Cristina Faba-Pérez & Vicente P. Guerrero-Bote & Félix De Moya-Anegón, 2003. "Data mining in a closed Web environment," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 623-640, November.
    9. Liwen Vaughan & Guozhu Wu, 2004. "Links to commercial websites as a source of business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 487-496, August.
    10. Liwen Vaughan & Esteban Romero-Frías, 2012. "Exploring Web keyword analysis as an alternative to link analysis: a multi-industry case," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 217-232, October.
    11. 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.
    12. Martin Meyer, 2000. "What is Special about Patent Citations? Differences between Scientific and Patent Citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 93-123, August.
    13. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    14. Martin Meyer & Tatiana Siniläinen & Jan Timm Utecht, 2003. "Towards hybrid Triple Helix indicators: A study of university-related patents and a survey of academic inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 321-350, October.
    15. Mike Thelwall & Gareth Harries, 2003. "The connection between the research of a university and counts of links to its web pages: An investigation based upon a classification of the relationships of pages to the research of the host univers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(7), pages 594-602, May.
    16. Liwen Vaughan, 2004. "Exploring website features for business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 467-477, November.
    17. Liwen Vaughan & Rongbin Yang, 2012. "Web data as academic and business quality estimates: A comparison of three data sources," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(10), pages 1960-1972, October.
    18. Isidro F. Aguillo & Begoña Granadino & José L. Ortega & José A. Prieto, 2006. "Scientific research activity and communication measured with cybermetrics indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(10), pages 1296-1302, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Simone Belli & Carlos Gonzalo-Penela, 2020. "Science, research, and innovation infospheres in Google results of the Ibero-American countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 635-653, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    2. 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.
    3. Liwen Vaughan, 2016. "Uncovering information from social media hyperlinks: An investigation of twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1105-1120, May.
    4. David Gunnarsson Lorentzen, 2014. "Webometrics benefitting from web mining? An investigation of methods and applications of two research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 409-445, May.
    5. 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.
    6. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    7. 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.
    8. Krzysztof BORODAKO & Jadwiga BERBEKA & Michał RUDNICKI & Mariusz ŠAPCZYŃSKI, 2021. "Online Visibility and Knowledge-Intensive Business Services Performance: The Scope of Interrelatedness," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 157-173, August.
    9. Stine Labes & Nicolai Hanner & Ruediger Zarnekow, 2017. "Successful Business Model Types of Cloud Providers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 223-233, August.
    10. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    11. Sabrina L. Woltmann & Lars Alkærsig, 2018. "Tracing university–industry knowledge transfer through a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 449-472, October.
    12. Moosung Lee & Han Woo Park, 2012. "Exploring the web visibility of world-class universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 201-218, January.
    13. Young Mee Chung & So Young Yu & Yong Kwang Kim & Su Yeon Kim, 2009. "Characteristics and link structure of a national scholarly Web space: The case of South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 595-612, September.
    14. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    15. Vaughan, Liwen & Yang, Rongbin, 2013. "Web traffic and organization performance measures: Relationships and data sources examined," Journal of Informetrics, Elsevier, vol. 7(3), pages 699-711.
    16. Erjia Yan & Qinghua Zhu, 2008. "Hyperlink analysis for government websites of Chinese provincial capitals," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 315-326, August.
    17. 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.
    18. Gohar Feroz Khan & Han Woo Park, 2012. "Editorial: Triple Helix and innovation in Asia using scientometrics, webometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 1-7, January.
    19. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    20. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1596-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.