Search (2 results, page 1 of 1)

  • × author_ss:"Park, H.W."
  • × theme_ss:"Informetrie"
  • × year_i:[2010 TO 2020}
  1. Khan, G.F.; Park, H.W.: Measuring the triple helix on the web : longitudinal trends in the university-industry-government relationship in Korea (2011) 0.01 
    0.011991608 = product of:
  0.035974823 = sum of:
    0.035974823 = weight(_text_:based in 4944) [ClassicSimilarity], result of:
      0.035974823 = score(doc=4944,freq=4.0), product of:
        0.15283063 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.050723847 = queryNorm
        0.23539014 = fieldWeight in 4944, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4944)
  0.33333334 = coord(1/3)
    Abstract
    This study examines longitudinal trends in the university-industry-government (UIG) relationship on the web in the Korean context by using triple helix (TH) indicators. The study considers various Internet resources, including websites/documents, blogs, online cafes, Knowledge-In (comparable to Yahoo! Answers), and online news sites, by employing webometric and co-word analysis techniques to ascertain longitudinal trends in the UIG relationship, which have received considerable attention in the last decade. The results indicate that the UIG relationship varied according to the government's policies and that there was some tension in the longitudinal UIG relationship. Further, websites/documents and blogs were the most reliable sources for examining the strength of and variations in the bilateral and trilateral UIG relationships on the web. In addition, web-based T(uig) values showed a stronger trilateral relationship and larger variations in the UIG relationship than Science Citation Index-based T(uig) values. The results suggest that various Internet resources (e.g., advanced search engines, websites/documents, blogs, and online cafes), together with TH indicators, can be used to explore the UIG relationship on the web.
  2. Choi, S.; Yang, J.S.W.; Park, H.W.: ¬The triple helix and international collaboration in science (2015) 0.01 
    0.008479347 = product of:
  0.025438042 = sum of:
    0.025438042 = weight(_text_:based in 1616) [ClassicSimilarity], result of:
      0.025438042 = score(doc=1616,freq=2.0), product of:
        0.15283063 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.050723847 = queryNorm
        0.16644597 = fieldWeight in 1616, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1616)
  0.33333334 = coord(1/3)
    Abstract
    Previous studies of international scientific collaboration have rarely gone beyond revealing the structural relationships between countries. Considering how scientific collaboration is actually initiated, this study focuses on the organization and sector levels of international coauthorship networks, going beyond a country-level description. Based on a network analysis of coauthorship networks between members of the Organisation for Economic Cooperation and Development (OECD), this study attempts to gain a better understanding of international scientific collaboration by exploring the structure of the coauthorship network in terms of university-industry-government (UIG) relationships, the mode of knowledge production, and the underlying dynamic of collaboration in terms of geographic, linguistic, and economic factors. The results suggest that the United States showed overwhelming dominance in all bilateral UIG combinations with the exception of the government-government (GG) network. Scientific collaboration within the industry sector was concentrated in a few players, whereas that between the university and industry sectors was relatively less concentrated. Despite the growing participation from other sectors, universities were still the main locus of knowledge production, with the exception of 5 countries. The university sector in English-speaking wealthy countries and the government sector of non-English-speaking, less-wealthy countries played a key role in international collaborations between OECD countries. The findings did not provide evidence supporting the institutional proximity argument.

Authors