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A comparison of the Daegu and Edinburgh musical industries: a triple helix approach

Author

Listed:
  • Gohar Feroz Khan

    (YeungNam University)

  • Seong Eun Cho

    (YeungNam University)

  • Han Woo Park

    (YeungNam University)

Abstract

The Triple Helix (TH) model and its indicators are typically used for exploring university-industry-government relations prevalent in knowledge-based economies. However, this exploratory study extends the TH model, together with webometric analysis, to the musical industry to explore the performance of social hubs from the perspective of entropy and the Web. The study investigates and compares two social hubs—Daegu and Edinburgh—from the perspective of musicals by using data obtained through two search engines (Naver.com and Bing.com). The results indicate that although Daegu is somewhat integrated into the local musical industry, it is not yet fully embedded in the international musical industry, even though it is international in scope. In terms of social events (i.e., musicals), unlike Daegu, Edinburgh is fully integrated into both the local and international musical industries and attracts diverse domains over the Internet.

Suggested Citation

  • Gohar Feroz Khan & Seong Eun Cho & Han Woo Park, 2012. "A comparison of the Daegu and Edinburgh musical industries: a triple helix approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 85-99, January.
  • Handle: RePEc:spr:scient:v:90:y:2012:i:1:d:10.1007_s11192-011-0504-9
    DOI: 10.1007/s11192-011-0504-9
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    References listed on IDEAS

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    1. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    2. Loet Leydesdorff & Henry Etzkowitz, 1998. "The Triple Helix as a model for innovation studies," Science and Public Policy, Oxford University Press, vol. 25(3), pages 195-203, June.
    3. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
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    Cited by:

    1. 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.
    2. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    3. Chung Joo Chung & Han Woo Park, 2014. "Mapping Triple Helix innovation in developing and transitional economies: webometrics, scientometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 1-4, April.
    4. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    5. Hee Dae Kim & Duk Hee Lee & Hochull Choe & Il Won Seo, 2014. "The evolution of cluster network structure and firm growth: a study of industrial software clusters," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 77-95, April.
    6. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.

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