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A Content Analysis on the Biomedical cluster: Focusing on the case of HongReung Digital Healthcare InnoTown

바이오·의료 클러스터 조성 및 활성화 방안에 대한 내용분석 연구: 홍릉 디지털 헬스케어 강소특구 사례를 중심으로

  • 박규홍 (인하대학교 경영대학) ;
  • 김태형 (한국과학기술연구원 기술정책연구소) ;
  • 박연수 (한국과학기술연구원 기술정책연구소) ;
  • 송창현 (한국과학기술기획평가원)
  • Received : 2022.02.24
  • Accepted : 2022.05.20
  • Published : 2022.05.28

Abstract

For fostering the biomedical industry, the formation of a high-tech-based innovation cluster is continuously being promoted. Accordingly, studies dealing with domestic clusters are being conducted based on case studies on major overseas clusters, but they are limited to a single case. In this paper, content analysis was used based on the literature about innovation clusters and bio-medical industry to comprehensively summarize the factors to be considered for the creation and activation of bio-medical clusters. Subsequently, the factors derived through content analysis were applied to the case of the Hongreung Innotown. The requirements for the successful creation of the Hongreung Innotown, it is required to improve settlement conditions, prepare systems to create start-up culture, and revitalize translational research, attract investment, and cooperate and connect with local clusters.

바이오·의료 산업의 전략적 육성을 위해 첨단기술 중심의 혁신클러스터 조성이 추진되고 있다. 이에 따라 해외 주요 클러스터에 관한 사례연구 등을 바탕으로 국내 클러스터에의 시사점을 다룬 연구들이 이뤄지고 있으나, 개별 사례에 국한된다는 한계가 있었다. 본 논문에서는 바이오·의료 클러스터의 조성과 활성화를 위해 고려되어야 할 요인들을 종합적으로 정리하고자, 혁신클러스터 및 바이오·의료 산업에 관한 문헌들을 대상으로 내용분석(content analysis)을 수행하였다. 식별된 요인들은 크게 두 가지 그룹으로 나뉘었는데 클러스터의 성장단계에 따른 영향요인과 또 바이오 클러스터에서 구별되어 나타나는 조성조건으로 구분하였다. 이어서 내용분석을 통해 도출한 사항들을, 홍릉 강소연구개발특구의 사례에 적용하였다. 홍릉 강소연구개발특구의 성공적 조성을 위해서는 정주여건 개선, 창업문화 활성화, 제도 마련과 동시에 바이오·의료 산업에 특화된 접근인 중개연구 활성화와 투자 유치 그리고 지역 클러스터와의 협력과 연계가 요구된다.

Keywords

Acknowledgement

This paper was supported by the KIST Institutional Program (Project No. 2V09210) and INHA UNIVERSITY Research Grant

References

  1. Scientific American Worldview. (2018). A Global Biotechnology Perspective 2018.
  2. H. S. Moon, M. S. Kang & K. S. Lee. (2018). An Analysis of Korean Bio-clusters and its Implications. Sejong: KIET.
  3. E. Eun. (2016). A Comparative Study of Growth Strategies of Bio-cluster Companies in San Francisco and Incheon. Journal of Industrial Economics and Business, 12, 2477-2497 https://doi.org/10.22558/jieb.2016.12.29.6.2477
  4. J. K. Nam. (2014). Triple Helix of University?Industry-Government Relations in Biotechnology Cluster: the case of Singapore, Journal of the Economic Geographical Society of Korea, 17(4), 801-816 https://doi.org/10.23841/egsk.2014.17.4.801
  5. J. Im, H. Cho & S. Chung. (2012). The study on the policy for the formation of the innovation cluster: Focus on Pangyo Technovalley in Gyeonggi-Province. Journal of Korea Technology Innovation Society, 15(3), 675-699.
  6. OECD (1999). Boosting Innovation : The Cluster Approach, Paris: OECD.
  7. OECD (2001). Innovation Clusters : Driver's of National Innovation Systems, Paris: OECD.
  8. W. I. Lee, D. S. Yim, Y. H. Lee & E. J. Jung. (2011). The study on the strategy for the formation of the innovation clusters - Focused on the scenario planning of the 'Pankyo Techno Vally. Journal of Korea Technology Innovation Society, 14(2), 301-319.
  9. D. S. Yim. (2002). Innovation cluster of Indian software industry: Is it evolved or developed? Journal of Korea Technology Innovation Society, 5(2), 167-188.
  10. J. Im, Y. Kim, & S. Chung. (2014). A case study on the development of an ICT convergence innovation cluster for creative economy. Journal of Korea Technology Innovation Society, 17(1), 1-24.
  11. G. Chung, J. Im, & S. Chung. (2017). A study on the success factors of innovation cluster: A case of the Pangyo Techno Valley in South Korea. Journal of Korea Technology Innovation Society, 20(4), 970-988.
  12. H. Kang. (2012). Recent trends and issues in regional industrial cluster policies. Seoul: KISTEP.
  13. J. Im, S. Jung, S. Lee & S. Chung. (2016). The Study on the Policy of the Innovation Cluster for Startups Incubation: Focus on Pangyo Creative Economic Valley in Gyeonggi-Province. Journal of the Korean Regional Development Association, 28(4), 109-130. https://doi.org/10.22885/KRDA.2016.28.4.109
  14. L. G. Branstetter. (2001). Are knowledge spillovers international or intranational in scope? Microeconometric evidence from the U.S. and Japan. Journal of International Economics, 531, 53-79 https://doi.org/10.1016/S0022-1996(00)00068-4
  15. K. Laursen, T. Reichstein & A. Salter. (2011). Exploring the effect of geographical proximity and university quality on university-industry collaboration in the United Kingdom, Regional Studies, 45(4), 507-523. https://doi.org/10.1080/00343400903401618
  16. C. Byun et al. (2018). Development factors and the policy for activating industrial innovation clusters in regions. Sejong: KIET.
  17. H. Etzkowitz & L. Leydesdorff. (2000). The dynamics of innovation: From national systems and "Mode 2" to a triple helix of university-industry-government relations. Research Policy, 29(2), 109-123. https://doi.org/10.1016/S0048-7333(99)00055-4
  18. C. W. Lee, J. H. Lee & K. S. Park. (2010). An inquiry into the triple helix as a new regional innovation model. Journal of the Economic Geographical Society of Korea. 13(3), 335-353. https://doi.org/10.23841/EGSK.2010.13.3.335
  19. S. Lee & S. Chung. (2014). Interaction between innovation actors in innovation cluster: A case of Daedeok Innopolis. Journal of Korea Technology Innovation Society, 17(4), 820-844.
  20. E. Sung, M. Yeom & J. Lee. (2015). The relationships among trust, innovation performance, and cluster commitment of company in innovative cluster - Focusing on INNOPOLIS Daedeok. Korea Journal of Human Resources Development, 18(4), 77-103.
  21. D. Hwang, Y. C. Cheong & S. Chung. (2018). The evolution of innovation cluster: Focusing on the Daedeok Innopolis. Journal of Korea Technology Innovation Society, 21(4), 1207-1236.
  22. J. S. Park, S. H. Par, & S. S. Hong. (2020). Integrated study on the factors influencing sustainable innovation cluster of Pangyo Techno Valley. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 15(1), 71-94. https://doi.org/10.16972/APJBVE.15.1.202002.71
  23. Y. J. Ahn. (2014). Struktur und Entwicklung des Innovationsclusters in Deutschland: Das Beispiel Biotech Cluster Muenchen. Journal of the Economic Geographical Society of Korea. 17(3), 585-599. https://doi.org/10.23841/egsk.2014.17.3.585
  24. D. Cho & J. Kim. (2008). Effects of environmental factors of innovative clusters on the performance of venture firms in China: A comparison between Zhongguan Village and Shenzhen new & high-tech industrial development zone. International Business Review, 12(1), 93-118. https://doi.org/10.21739/IBR.2008.03.12.1.93
  25. S. C. Lee. (2004). The role of a central network agent as an encompassed supporting system in the innovative cluster: The case of Kanagawa Science Park in Japan. Journal of the Economic Geographical Society of Korea., 7(1), 45-63.
  26. Europe Innova (2008). Do's and don'ts for biotech cluster development: The results of NetBioCluE. https://irp-cdn.multiscreensite.com/bcb8bbe3/files/uploaded/doc_1600.pdf
  27. J. KIm. (2017, May). Revitalization plan for biomedical cluster from an ecosystem point of view. Bio Economy Report, 3, 1-13.
  28. E. Eun. (2015). Industry-academic cooperation in Cambridge bio-cluster and its outcome. Korean Jouranl of Ubran History, 13, 155-186. https://doi.org/10.22345/kjuh.2015.4.13.155
  29. E. Oh, S. Oh & J. You. (2019). Growth strategies for Seoul biomedical industry based on locational patterns and innovation network. Seoul: The Seoul Institute.
  30. E. Monfardini, N. U. Bohn, S. Soulard,m & L. Probst. (2011) EU bioclusters: critical success factors, economic performance indicators and policy recommendations. The 4th Knowledge Cities World Summit, 269.
  31. I. Kim. (2011). A Suggestion for the Implementation of Korean-Style Biotechnology Clusters. Seoul: STEPI.
  32. J. Kim. (2019. Jan) Proposal for revitalization of domestic bioclusters. KHIDI Bio-Health Report. 1, 19-23.
  33. H. Jeon, Y. Rim, B. Kang, Y. H. Cho & S. J. Park. (2020). Improve the support system for SMEs' commercialization of biohealth industry: Focusing on TRL. Journal of Digital Convergence. 18(2), 83-93. https://doi.org/10.14400/JDC.2020.18.2.083
  34. P. Jang & Y. Kim. (2021). A study on the trend of employment effect and employment policy in the digital bio-healthcare industry. Journal of Convergence for Information Technology, 11(1), 175-182. https://doi.org/10.22156/CS4SMB.2021.11.01.175
  35. S. H. Park, Y. M. Yun, H. Kim & J. S. Kim. (2021). Technology convergence & trend analysis of biohealth industry in 5 countries: Using patent co-classification analysis and text mining. Journal of the Korea Convergence Society, 12(4), 9-21. https://doi.org/10.15207/JKCS.2021.12.4.009
  36. S. H. Oh & M. Y. Koh. (2009). Content analysis of leisure research trend in Korea - Focused on the tourism journals. Journal of Tourism Studies, 21(2), 3-20.
  37. S. Y. Boo. (2003). Content analysis on destination images improvement through hosting festivals. Journal of Tourism Sciences, 27(2), 113-132.
  38. S. H. Lee. (2007). Methodological review of content analysis applied to the Public Administration Studies. Korean Journal of Public Administration, 45(2), 1-23.
  39. S. Hong, S. Lim, J. Kim & H. Lee. (2015). The formation of creative economy eco-system using content analysis. The Journal of Internet Electronic Commerce Research, 15(3), 111-131.
  40. L. Rourke & T. Anderson. (2004). Validity in quantitative content analysis. Educational Technology Research and Development, 52(1), 5-18. https://doi.org/10.1007/BF02504769
  41. B. Yoon. (2012). Research trends and future tasks in Korea's Tourism Geography Studies since 2000. International Journal of Tourism and Hospitality Research, 26(1), 131-148.
  42. D. Riffe, S. Lacy, F. Fico & B. Watson. (2019). Analyzing media messages: Using quantitative content analysis in research. Routledge.
  43. A. Ahuvia. (2001). Traditional, interpretive, and reception based content analyses: Improving the ability of content analysis to address issues of pragmatic and theoretical concern. Social Indicators Research, 54(2), 139-172. https://doi.org/10.1023/A:1011087813505
  44. H. Hsieh & S. E. Shannon. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9): 1277-1288. https://doi.org/10.1177/1049732305276687
  45. B. Berelson. (1952). Content analysis in communication research. Free Press.
  46. W. Jho & J. Y. Kim. (2012). Political communication and civic participation through blogs and twitter. Journal of Cybercommunication Academic Society, 29(2), 95-130.
  47. S. Hwang. (2013). How Korean top 100 companies use social network services: An analysis of relationship cultivation strategies, message topics, and posting types. Studies of Broadcasting Culture, 25(1), 235-273.
  48. J. Baik & D. R. Chang. (2020). A study on the content analysis of corporate television advertisements produced as a means of crisis communication strategy. Journal of Basic Design & Art, 21(1), 247-260. https://doi.org/10.47294/KSBDA.21.1.19
  49. D. H. Seol, J. Ko & S. H. Yoo. (2018). Korean sociological association and sociological research: Changes in the areas of sociology in Korea 1964-2017. Korean Journal of Sociology, 52(1), 153-213. https://doi.org/10.21562/kjs.2018.02.52.1.153
  50. Y. H. Woo & M. Hong. (2004). An assessment of 「The Korean Journal of Local Goverrment Studies」 (1997~2004) - Comparison with Authorized Journals in the Field of Public Administration. The Korean Journal of Local Government Studies, 8(2), 75-103.
  51. S. Kim & H. S. Lim. (2020). Content analysis of tourism development trend in KCI journal. Journal of Tourism and Leisure Research, 32(1), 27-51. https://doi.org/10.31336/jtlr.2020.1.32.1.27
  52. B. K. Cho & Y. Yoo. (2020). A content analysis study about play in internet news articles: from 2010 to 2018. Korean Journal of Early Childhood Education Research, 22(1), 207-227. https://doi.org/10.15409/riece.2020.22.1.10
  53. S. Cha. (2012). Methodological review of content analysis applied to the tourism studies. Korean Journal of Hospitality and Tourism, 21(6), 215-229.
  54. R. Kim & Y. Yoon. (2018). A content analysis of panic disorder news coverage. Korean Journal of Journalism & Communication Studies, 62(5), 37-71.
  55. K. M. Lee, S. K. Kang & P. K. Thak. (2015). A qualitative content analysis study of relapse experiences of people with gambling abstinence. Mental Health & Social Work, 43(2), 5-31.
  56. Y. Song & H. Park. (2018). The institutional foundation for early childhood education in the Fourth Industrial Revolution: Applying Qualitative Content Analysis (QCA). Journal of Early Childhood Education & Educare Welfare, 22(4), 7-33.
  57. B. Downe-Wamboldt. (1992). Content analysis: method, applications, and issues. Health Care for Women International, 13(3), 313-321. https://doi.org/10.1080/07399339209516006
  58. S. Chung, D. Hwang, J. Yim.(2016). A Study on the Impact Factors for Innovation Cluster : A Case of the Pangyo Techno Valley. Journal of Korea Technology Innovation Society, 19(4), 848-872.
  59. J. Jung & E. Kim(2012). The Effects of the National Innovation Systems Factors on the Performance of Innovative Clusters: The Moderating Effects of Social Capital. Journal of International Area Studies, 21(2), 31-67.
  60. S. Kim, I. Kang, J. Kim S. Lee, &. S. Choi. (2014) Innovation cluster success factors and cases of cluster support in developing countries. KIET Report 737
  61. S.Yook. (2017) Efficiency study for biocluster activation. Ministry of Science and ICT Report
  62. J. A. DiMasi, R. W. Hansen & H. G. Grabowski. (2003). The price of innovation: new estimates of drug development costs. Journal of Health Economics, 22(2), 151-185. https://doi.org/10.1016/S0167-6296(02)00126-1
  63. S. Chung. (2020). Success Factors of the Fraunhofer Gesellschaft in Germany and Their Implications for Korea. International Area Studies Review, 24(4), 109-135. https://doi.org/10.21212/IASR.24.4.5
  64. S. Lee & S. Chung. (2014). Interaction between Innovation Actors in Innovation Cluster: A Case of Daedeok Innopolis. Journal of Korea Technology Innovation Society, 17(4), 820-844.
  65. Y. C. Cheong & S. Chung. (2015, May). A Study on the success factors of innovation cluster: Focusing on Daedeok Innopolis. Proceedings of the Korea Technology Innovation Society Conference, (pp.574-589)
  66. I. S. Choi & K. W. Kim. (2015). A study on the introduction of local innovative systems to community development policies and living LAB in Korea. Wonju: Korea Research Institute for Local Administration.
  67. J. S. Kam, M. W. Kim, S. D. Park & B. H. Hyun. (2012). A study on the promising future biotechnology. Journal of Korea Technology Innovation Society, 15(2), 345-368