Journal of Society of Preventive Korean Medicine (대한예방한의학회지)

Society of Preventive Korean Medicine (대한예방한의학회)
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A Study on 2040 Technology Forecasting using Delphi Survey in Korean Medicine

한의약 분야의 2040년 델파이 기술예측조사 연구

  • Received : 2016.06.01
  • Accepted : 2016.06.28
  • Published : 2016.08.31
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Abstract

Objectives : This is a study for technological forecasting, aiming to find out the promising future technologies in KM(Korean Medicine) and deduce implications for the research and development of KM. Methods : The first pool of 145 technological tasks related to KM were composed by reviewing the existing data related to technological forecasting. The steering committee for the research set 99 final technological tasks. With the deduced technological tasks, mini-Delphi(2-round) method was conducted and 6 research items were used-the importance, realization time, urgency, technological competitiveness, the main agent that will push forward the task, and obstacles. Results : As a result on the time when the technology will be realized, 58 out of 99 technologies(59%) were predicted to be realized in the same year domestically and globally. The average of the importance of the 99 technological tasks was 72.9. Among them. As for the main agent to push forward the research and development of future technologies, 'industry-academic cooperation' took the highest portion at 58.7%, and regarding the obstacles to realize technological tasks, the lack of infrastructure(research funds) was the highest at 33.6%. Conclusions : This study shows that the development of basic technologies in the technologies of Korean medicine is insufficient and it is believed that the development of basic technologies is urgent to promote the development of application technologies.

Keywords

References

  1. Makridakis S. G. Hyndman R. J. Steven C. Wheelwright. Forecasting: Methods and Applications. John Wiley & Sons, 3rd ed. 1997.
  2. Joseph P. Martino. Technological Forecasting for Decision Making. McGraw-Hill, Inc, 3rd ed. 1993.
  3. 일본문부과학성 과학기술정책연구소. 2040년의 과학기술. 한국과학기술정보연구원 역. 2010.
  4. 한국과학기술기획평가원. 2013년도 이슈별 미래예측-위성정보 활용 산업의 미래전망. 연구보고 2014-081. 2014.
  5. 과학기술정책관리연구소. 제1회 과학기술예측조사(1995-2015년)-한국의 미래기술. 1994.
  6. 한국과학기술기획평가원. 제4회 과학기술예측조사(2012-2035)-미래사회 전망과 과학기술 예측. 2012.
  7. 한국보건산업진흥원. 미래보건산업 기술예측(2001-2025). 2001.
  8. 한국보건산업진흥원. 미래보건산업 기술예측조사. 2006.
  9. David J. G., Leroy H. Systems Biology and Emerging Technologies Will Catalyze the Transition from Reactive Medicine to Predictive, Personalized, Preventive and Participatory( P4) Medicine. Interdisciplinary Bio Central 1(6):1-5. 2009.
  10. 한국한의학연구원, 부산대학교한의학전문대학원, 대한한의사협회. 2013 한국한의약연감. 2014.
  11. 한국한의학연구원. 한의학중장기예측기획연구. 1996.
  12. 한국과학기술기획평가원. 2013 이슈별 미래예측_100세 시대 헬스케어 수요 및 대응방안 예측. 2013.
  13. 한국한의학연구원. 한의과학기술분류체계. 2010.
  14. 과학기술정책연구원. 국가와 기업에서의 기술예측 결과 활용방안. 2000.
  15. 조근태, 권철신. 기술예측에의 적용을 위한 상호영향분석법의 이론적 고찰: 한계와 연구방향, 기술혁신연구9(1):95-120. 2001.
  16. 조승국, 김선희. 댐 건설사업의 환경가치 평가항목 결정에 관한 연구, 환경정책 13(2):189-203. 2005.
  17. 박우희. 기술경제학개론, 서울대학교 출판부, 2001.
  18. 홍순기, 신흥식, 박수동. 기술예측. 한국산업기술재단, 2007.
  19. 권성훈, 홍순기. 델파이 기술예측의 타당성과 신뢰성 분석에 관한 연구, 기술혁신연구 17(1): 97-117. 2009.
  20. Anderson, J. Technongy foresight for Competitive Advantage. Long Range Planning, 30(5): 665-667. 1997. https://doi.org/10.1016/S0024-6301(97)00052-6
  21. Bradburn, N. M., and William M. M. "The effect of question order on responses." Journal of Marketing Research 1(4):57-61. 1964. https://doi.org/10.2307/3150380
  22. 이종옥, 이규현, 정선양, 조성복, 윤진효. R&D관리. 경문사. 2005.
  23. 이종인, 조근태, 신봉철, 한귀덕, 지인배, 김성철. 임업.임산 분야의 델파이 기술예측조사에 관한 연구. 사회과학연구 45(2):187-207. 2006.
  24. 한국과학기술기획평가원. R&D투자포트폴리오 설정을 위한 방법론 조사.분석. 2006.