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Knowledge sources of innovation studies in Korea: A citation analysis

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Abstract

This paper is an investigation of the knowledge sources of Korean innovation studies using citation analysis, based on a Korean database during 1993–2004. About two thirds of knowledge has come from foreign sources and 94% of them are from English materials. Research Policy is the most frequently cited journal followed by Harvard Business Review, R&D Management and American Economic Review. An analysis of who cites the most highly cited journal is also included. Neo-Schumpeterians in Korea cite more papers from Research Policy than general researchers, and there is no difference between groups in the year of citation.

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References

  • Abt, H. A. (2000), Do important papers produce high citation counts? Scientometrics, 48(1): 65–70.

    Article  Google Scholar 

  • Ahmed, T., Johnson, B., Oppenheim, C., Peck, C. (2004), Highly cited old papers and the reasons why they continue to be cited. Part II — The 1953 Watson and Crick article on the structure of DNA, Scientometrics, 61(2): 147–156.

    Article  Google Scholar 

  • Aksnes, D. W. (2003), A macro study of self-citation, Scientometrics, 56(2): 235–246.

    Article  Google Scholar 

  • Aksnes, D. W., Sivertsen, G. (2004), The effect of highly cited papers on national citation indicators, Scientometrics, 59(2): 213–224.

    Article  Google Scholar 

  • Arrow, K. J. (1962), Economic welfare and the allocation of resources for invention, In: Lamberton, D. M. (Ed.), The Rate and Direction of Inventive Activity, Baltimore: Penguin Books, Ltd.

    Google Scholar 

  • Arrow, K. J. (1962), The economic implications of learning by doing, Review of Economic Studies, 29: 155–173.

    Article  Google Scholar 

  • Bart, V., Werker, C. (2004), Keith Pavitt and the Invisible College of the Economics of Technology and Innovation, Research Policy, 33(9): 1419–1431.

    Article  Google Scholar 

  • Biehl, M., Kim, H., Wade, M. (2006), Relationships among the academic business disciplines: A multimethod citation analysis, Omega, 34(4): 359–371.

    Article  Google Scholar 

  • Callon, M., Coenen, R., Cohen, W. H., Freeman, C., Kodama, F., Meyerkrahmer, F., Pavitt, K., Pisano, G. P. (1999), Retrospective evaluation (1971–1999), Research Policy, 28: 911–919.

    Article  Google Scholar 

  • Cheng, C. H., Kumar, A., Motwani, J. G., Reisman, A., Madan, M. S. (1999), A citation analysis of the technology innovation management journals, IEEE Transactions on Engineering Management, 46(1): 4–13.

    Article  Google Scholar 

  • Cronin, B. (1984), The Citation Process: The Role and Significance of Citations in Scientific Communication, Taylor Graham, London.

    Google Scholar 

  • Dopfer, K. (1994), The phenomenon of economic change: Neoclassical versus Neoschumpeterian approaches, In: L. Magnusson (Ed.), Evolutionary and Neoschumpeterian Approaches, Boston/Dordrecht/London: Kluwer Academic Publishers, pp. 125–171.

    Chapter  Google Scholar 

  • Dosi, G. (1988), Sources, Procedures, and Microeconomic Effects of Innovation, Journal of Economic Literature, 26(3): 1120–1171.

    Google Scholar 

  • Doyle, M. W., Julian, J. P. (2005), The most-cited works in geomorphology, Geomorphology, 72: 238–249.

    Article  Google Scholar 

  • Dunford, M., Perrons, D., Reilly, B., Bull, R. (2002), Citations, authors and referees — Regional Studies, 1981–2002, Regional Studies, 36(9): 1053–1065.

    Article  Google Scholar 

  • Echeverria-Carrol, E. L. (1999), Knowledge flows in innovation networks: A comparative analysis of Japanese and US high-technology firms, Journal of Knowledge Management, 3(4): 296–303.

    Article  Google Scholar 

  • Eto, H. (2002), Authorship and citation patterns in management science in comparison with operational research, Scientometrics, 53(3): 337–349.

    Article  Google Scholar 

  • Foss, N. J., Pedersen T. (2002), Transferring knowledge in MNCs: The role of sources of subsidiary knowledge and organizational context, Journal of International Management, 8(1): 49–67.

    Article  Google Scholar 

  • Garfield, E. (1955), Citation indexes for science: A new dimension in documentation through association of ideas, Science, 22: 108–111.

    Article  Google Scholar 

  • Garfield, E. (1979), Citation Indexing: Its Theory and Application in science, Technology, and Humanities, Wiley, New York.

    Google Scholar 

  • Glänzel, W., Thijs, B. (2004a), The influence of author self-citations on bibliometric macro indicators, Scientometrics, 59(3): 281–310.

    Article  Google Scholar 

  • Glänzel, W., Thijs, B. (2004b), Does co-authorship inflate the share of self-citations?, Scientometrics, 61(3): 395–404.

    Article  Google Scholar 

  • Glänzel, W., Thijs, B., Schlemmer, B. (2004), A bibliometric approach to the role of author self-citations in scientific communication, Scientometrics, 59(1): 63–77.

    Article  Google Scholar 

  • Godin, B. (1998), Measuring knowledge flows between countries: The use of scientific meeting data, Scientometrics, 42(3): 313–323.

    Article  Google Scholar 

  • Gupta, A. K., Govindarajan, V. (2000), Knowledge flows within multinational corporations, Strategic Management Journal, 21(4): 473–496.

    Article  Google Scholar 

  • Harter, S., Kim, H. (1996), Electronic journals and scholarly communication: A citation and reference study, Proceedings of the ASIS Midyear Meeting, San Diego, CA., pp. 299–315.

  • Hong, S. K., Hong, S. G., Ahn, D. (1991), A Study on Intersectoral Flow and Productivity Increasing Effects of R&D, Policy Research 91–14, Science and Technology Policy Institute, Seoul. (Korean).

    Google Scholar 

  • Huh, E. N. (2000), Review of valuation methods — CVM, MAUA and Real Option Pricing, The Journal of Korea Technology Innovation Society, 3(1): 37–54. (Korean).

    MathSciNet  Google Scholar 

  • Kim, L. (1999), Building technological capability for industrialization: analytical frameworks and Korea’s experience, Industrial and Corporate Change, 8(1): 111–136.

    Article  Google Scholar 

  • Kim, M. J. (2001), A bibliometric analysis of physics publications in Korea, 1994–1998, Scientometrics, 50(3): 503–521.

    Article  Google Scholar 

  • Kim, M. J. (2002), Citation patterns of Korean physicists and mechanical engineers: differences by type of publication source and type of authorship, Scientometrics, 55(3): 421–436.

    Article  Google Scholar 

  • Kleinberg, J. (1999), Authoritative sources in a hyperlinked environment, Journal of the ACM, 46(5): 604–632.

    Article  MathSciNet  MATH  Google Scholar 

  • Kostoff, R. N. (2002), Citation analysis of research performer quality, Scientometrics, 53(1): 49–71.

    Article  Google Scholar 

  • Lange, L. L. (2001), Citation counts of multi-authored papers: First-named authors and further authors, Scientometrics, 52(3): 457–470.

    Article  Google Scholar 

  • Lee, J., Bae, Z., Choi, D. (1988), Technology development process: A model for developing country with a global perspective, R&D Management, 18(3): 235–250.

    Article  Google Scholar 

  • Lee, K. R. (1996). The role of user firms in the innovation of machine tools: The Japanese case. Research Policy, 25(5): 491–507.

    Article  Google Scholar 

  • Lee, K. R. & al. (1998), Korean National Innovation System, Science and Technology Policy Institute, Seoul.

    Google Scholar 

  • Leimu, R., Koricheva, J. (2005), What determines the citation frequency of ecological papers, Trends in Ecology & Evolution, 20(1): 28–32.

    Article  Google Scholar 

  • Li, J., Tsui, A. S. (2002), A citation analysis of management and organization research in the Chinese context: 1984–1999, Asia Pacific Journal of Management, 19(1): 87–107.

    Article  Google Scholar 

  • Lim, Y. T., Song, C. H. (1996), An international comparative study of basic scientific research capacity: OECD Countries, Taiwan and Korea, Technological Forecasting and Social Change, 52(1): 75–94.

    Article  Google Scholar 

  • Linton, J. D., Thongpapanl, N. (2004), Perspective: ranking the technology innovation management journals, The Journal of Product Innovation Management, 21(2), 123–139.

    Article  Google Scholar 

  • Ma, C., Stern, D. (2006), Environmental and ecological economics: A citation analysis, Ecological Economics, 58(3): 491–506.

    Article  Google Scholar 

  • Merino, T. G., Carmo, L. P. D., Alvarez, V. S. (2006), 25 years of Technovation: characterization and evolution of the journal, Technovation, 26(12): 1303–1316.

    Article  Google Scholar 

  • Meyer, M. (2000), Tracing knowledge flows in innovation systems, Scientometrics, 54(2): 193–212.

    Article  Google Scholar 

  • Mudambi, R., Navarra, P. (2004), Is knowledge power? Knowledge flows, subsidiary power and rent-seeking within MNCs. Journal of International Business Studies, 35(5): 385–406.

    Article  Google Scholar 

  • Namn, S. H., Park, J. M., Seol, S. S. (2005), Quantitative analysis of knowledge flow — technology innovation research in Korea, The Journal of Korea Technology Innovation Society, 8 (Special Edition): 337–359. (Korean).

    Google Scholar 

  • Narin, F. (1976), Evaluative Bibliometrics: The Use of Publication and Citation Analysis in the Evaluation of Scientific Activity, Computer Horizons, Inc, Cherry Hill, New Jersey.

    Google Scholar 

  • Nicolaisen, J. (2002), The J-shaped distribution of citedness, Journal of Documentation, 58(4): 383–395.

    Article  Google Scholar 

  • Nissen, M. E. (2005–2006), Dynamic knowledge patterns to inform design: A field study of knowledge stocks and flows in an extreme organization, Journal of Management Information Systems, 22(3): 225–263.

    Article  Google Scholar 

  • Norris, M., Oppenheim, C. (2003), Citation counts and the research assessment exercise V: Archaeology and the 2001 RAE, Journal of Documentation, 59(6): 709–730.

    Article  Google Scholar 

  • Paci, R., Batteta, E. (2003), Innovation Networks and Knowledge Flows across the European Regions, Working Paper, CRENoS 200313, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    Google Scholar 

  • Sandstrom, A., Pettersson, I., Nilsson, A. (2000), Knowledge production and knowledge flows in the Swedish biotechnology innovation system, Scientometrics, 48(2): 179–201.

    Article  Google Scholar 

  • Seol, S. S. (2000), An analytical framework for the valuation of technology, The Journal of Korea Technology Innovation Society, 3(1): 5–21. (Korean).

    MathSciNet  Google Scholar 

  • Seol, S. S., Namn, S. H. (2006), Innovation studies in Korea: origins, branches and activities, Paper presented at the 1st China-Korea International Conference on Innovation Studies, 11.3, Korea Technology Innovation Society, China Techno-Economics Society, Jeju Island, Korea.

    Google Scholar 

  • Seol, S. S. & al. (1997), Innovation and Industrial, Science and Technology Policy, Industrial Technology Research Institute Press, Seoul. (Korean).

    Google Scholar 

  • Smith, L. C. (1981), Citation analysis. Library Trends, 30: 83–106.

    Google Scholar 

  • Solow, R. (1957), Technical change and the aggregate production function, Review of Economics and Statistics, 39: 312–320.

    Article  Google Scholar 

  • Song, C. H. (2003), Interdisciplinarity and knowledge inflow/outflow structure among science and engineering research in Korea, Scientometrics, 58(1): 129–141.

    Article  Google Scholar 

  • Spencer, J. W. (2000), Knowledge flows in the global innovation system: Do U.S. firms share more scientific knowledge than their Japanese rivals? Journal of International Business Studies, 31(3): 521–530.

    Article  Google Scholar 

  • Tahai, A., Meyer, M. J. (1999), A revealed preference study of management journals’ direct influence, Strategic Management Journal, 20(3): 279–296.

    Article  Google Scholar 

  • Wohlin, C. (2005), An analysis of the most cited articles in software engineering journals — 1999, Information and Software Technology, 47(15): 957–964.

    Article  Google Scholar 

  • Yong, F., Rousseau, R. (2001), Lattices in citation networks: An investigation into the structure of citation graphs, Scientometrics, 50(2): 273–287.

    Article  Google Scholar 

  • Zhu, X., Wu, Q., Zheng, Y., Ma, X., Zhu, X. (2004), Highly cited research papers and the evaluation of a research university: A case study: Peking University 1974–2003, Scientometrics, 60(2): 237–347.

    Article  Google Scholar 

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Authors and Affiliations

  1. Hi-tech Business Research Institute, Hannam University, Daejon, Republic of Korea

    Jung-Min Park

  2. Department of Economics, College of Economics and Business, Hannam University, 133 Ojung-dong, Daeduck-ku, Daejon, 306-791, Republic of Korea

    Sung-Soo Seol

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  1. Sung-Soo Seol
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Correspondence to Sung-Soo Seol.

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Seol, SS., Park, JM. Knowledge sources of innovation studies in Korea: A citation analysis. Scientometrics 75, 3–20 (2008). https://doi.org/10.1007/s11192-007-1826-5

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