DOI QR코드

DOI QR Code

A Study on a Long-term Demand Forecasting and Characterization of Diffusion Process for Medical Equipments based on Diffusion Model

확산 모형에 의한 고가 의료기기의 수요 확산의 특성분석 및 중장기 수요예측에 관한 연구

  • Hong, Jung-Sik (Department of Industrial & Information Systems Engineering, Seoul National University of Technology) ;
  • Kim, Tae-Gu (Department of Industrial Engineering, Seoul National University) ;
  • Lim, Dar-Oh (Korea Health Industry Development Institute)
  • 홍정식 (서울산업대학교 산업정보시스템공학과) ;
  • 김태구 (서울대학교 산업공학과) ;
  • 임달오 (한국보건산업진흥원)
  • Published : 2008.12.30

Abstract

In this study, we explore the long-term demand forecasting of high-price medical equipments based on logistic and Bass diffusion model. We analyze the specific pattern of each equipment's diffusion curve by interpreting the parameter estimates of Bass diffusion model. Our findings are as follows. First, ultrasonic imaging system, CT are in the stage of maturity and so, the future demands of them are not too large. Second, medical image processing unit is between growth stage and maturity stage and so, the demand is expected to increase considerably for two or three years. Third, MRI is in the stage of take-off and Mammmography X-ray system is in the stage of maturity but, estimates of the potential number of adopters based on logistic model is considerably different to that based on Bass diffusion model. It means that additional data for these two equipments should be collected and analyzed to obtain the reliable estimates of their demands. Fourth, medical image processing unit have the largest q value. It means that the word-of-mouth effect is important in the diffusion of this equipment. Fifth, for MRI and Ultrasonic system, q/p values have the relatively large value. It means that collective power has an important role in adopting these two equipments.

Keywords

References

  1. 강현철, 최종후, "확산 모형과 성장곡선모형을 이용한 중장기 수요예측에 관한 연구", 응용통계연구, 제 14권 2호, pp. 233-243, 2001
  2. 김성조, 김성민, 김용우, "중고수입고가의료기긱 현황조사분석 및 관리방안 연구", 한국보건산업진흥원, 2004
  3. 보건복지부, "특수의료장비의 설치 및 운영에 관한 규칙 운영지침", 2003
  4. 박상준, 신창훈 "확산과정에서의 세 번째 의사전달경로" 한국마케팅저널 제8권 3호, pp.1-10, 2006
  5. 송건영 외, "의료기관 종별 표준업무개발", 보건복지부, 한국병원경영연구원, 2001
  6. 이강빈, "지역특화 의료기기 산업의 수출 활성화 방안", 국제상학 제 20권 3호, pp. 239-243, 2005
  7. 이군희, "확산모형을 이용한 수요예측에 관한 연구", 한국생산관리학회지 제17권 2호 pp. 3-25, 2006
  8. 이민화, "21세기를 향한 우리나라 의료기기 산업의 발전방안", 춘계학술대회논문집 제14권 1호 pp.3-24, 1992
  9. 이상연, 송현종, "보건의료자원 수급현황 및 관리정책 개선방향", 한국보건사회연구원, 2003
  10. 이홍제, 김용규, 유제국, "통신서비스 수요예측 방법론", 정보통신정책연구원 연구보고 00-24, 2000
  11. 정우진, "고가의료장비 활용현황 분석 연구", 한국보건사회연구원, 2000
  12. Bass, F. M., (1969), "A new product growth model for consumer durables." Management Science, 15 (5), 215-227 https://doi.org/10.1287/mnsc.15.5.215
  13. Bass F. M., D. Jain, T. Krishnan,(2000), "Modeling the Marketing-Mix Influence in New-Product Diffusion" New-Product Diffusion Models pp. 99-122 Boston, MA : Kluwer
  14. Bernhardt, I, Kenneth. M. M. (1972), "Some problems in using diffusion models for new products", Management Science, 19, 187-200 https://doi.org/10.1287/mnsc.19.2.187
  15. Bulte, C. V. D. (2002), "The Diffusion Model is not a Mixture of Innovators and Imitators", The Wharton School University of Pennsylvania, working paper
  16. Bulte, C.V.D, Joshi Y.V.(2006) " New Product Diffusion with Influentials and Imitators" from http://knowledge.wharton.upenn.edu/papers/1322.pdf
  17. Bulte, C. V. D, Stremersch,S. (2004), "Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test", Marketing Science 23(4), 530-544 https://doi.org/10.1287/mksc.1040.0054
  18. Bulte, C. V. D, Gary L., (1997), "Bias and systematic change in the parameter estimates of marco-level diffusion models", Marketing Science, 16(4), 338-353 https://doi.org/10.1287/mksc.16.4.338
  19. Oliver R. M, (1987) "A Bayesian model to predict saturation & Logistic growth." Journal of the Operational Research Society 38(1), 49-56 https://doi.org/10.1057/jors.1987.6
  20. Easingwood, Christopher (1987), "Early product lifecycle forms for infrequently purchased major products", International Journal of Research in Marketing, 4(1), 3-9 https://doi.org/10.1016/0167-8116(87)90010-3
  21. Eric W.F, Nir M, M. Thad P (2006), "Predicting the Adoption of Electronic Healtg Records by Physicians : When Will Health Care be Paperless?", Journal of the American Medical Information Association 13(1), 106-111 https://doi.org/10.1197/jamia.M1913
  22. Heeler R., Thomas H., (1980), "Problems in predicting new product growth for consumer durables", Management Science 26(10), 1007-1020 https://doi.org/10.1287/mnsc.26.10.1007
  23. Kalish, Shlomo (1985), "A new product adoption model with pricing, advertising and uncertainty", Management Science, 31, 1569-1585 https://doi.org/10.1287/mnsc.31.12.1569
  24. Lim, B. L., Choi, M. K., Park, M. C.(2003), "The late take-off phenomenon in the diffusion of telecommunication services: network effect and the critical mass", Information Economics and Policy, 15(4), 537-557 https://doi.org/10.1016/S0167-6245(03)00037-4
  25. Mahajan, Vijay, Eitan M, Frank M. Bass (1990), "New product diffusion models in marketing: a review and directions for research". Journal of Marketing, 54, 1-26
  26. Menachemi N, Burke D, Brooks R, "Adoption factors associated with patient safety related information technologies", J Healthcare Qual.2004;26:39-44
  27. Schmittlein, D., Vijay M., (1982), "Maximum likelihood estimation for an innovation diffusion model of new product acceptance", Marketing Science, 1(1), 57-78 https://doi.org/10.1287/mksc.1.1.57
  28. Norton, J. A. and Bass, F. M. (1987), "A diffusion theory model of adoption and substitution for successive generations of high-technology products" Management Science Vol. 33. No. 9. pp. 1069-1086 https://doi.org/10.1287/mnsc.33.9.1069
  29. Sillup GP, "Forecasting the adoption of new medical technology using the Bass model", J Healthcare Market.1992;12:42
  30. Srinivasan V., Charlotte M., (1986), "Nonlinear least square estimation of new product diffusion models", Marketing Science, 5(2), 169-178 https://doi.org/10.1287/mksc.5.2.169
  31. Tanny,S.M. and Derzko(1998), "Innovators and Imitators in Innovation Diffusion Modeling", Journal of Forcasting, 7(4), 225-234
  32. Wang,W, P. Fergola, S. Lombardo, G. Mulone(2006) " Mathematical models of innovation diffusion with stage structure" Applied Mathematical Modeling Vol. 30 pp. 129-146 https://doi.org/10.1016/j.apm.2005.03.011