Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
권호 표지
DOI QR코드

DOI QR Code

Market Prediction Methodology for a Medical 3D Printing Business : Focusing on Dentistry

의료분야 3D프린팅 비즈니스 시장규모 예측 연구 : 치과 분야를 중심으로

  • Kim, Min Kwan (Institution of Knowledge Services, Hanyang University) ;
  • Lee, Jungwoo (Institution of Knowledge Services, Hanyang University) ;
  • Kim, Young Myung (KT Creative Economy Initiative Promotion Project) ;
  • Lee, Kikwang (Department of Business Administration, Dankook University) ;
  • Han, Chang Hee (Department of Business Administration, Hanyang University)
  • Received : 2016.05.17
  • Accepted : 2016.06.29
  • Published : 2016.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, 3D printing technology has been considered as a core applicable technology because it brings many improvements such as the development of medical technology, medical customization, and reducing production cost and shortening treatment period. This research suggests a market prediction framework for medical 3D printing business. As an immature market situation, it is important to control some uncertainty for market prediction such as a customers' conversion rate. So we adopt decision making tree (DMT) model which used to choose an optimal decision making among diverse pathway. Among medical industries this paper just focuses on dentistry business. For predicting a 5 year period trend expected market size, we identified some replaceable denture procedure by 3D printing, collected related data, controlled uncertain variables. The result shows that medical 3D printing business could be a market of 28.2 billion won at 1st year and in the end of fifth year it could become on a scale of 61.1 billion won market.

Keywords

References

  1. Frederick, S. H. and Mark, S. H., Introduction to Management Science, (1st ed.), Mc-GrawHill, 2008.
  2. Health Insurance Review & Assessment Service, 2014 Dentistry Salary criteria & Examination Case, (1st ed.), 2014.
  3. Ministry of Health & Welfare & Institution of Medical Welfare in Yonsei University, Korea Institute for Health and Social Academy, 2013 National Health Expenditure & National Health Account, (1st ed.), 2015.
  4. Ministry of Science, ICT and Future Planning, Ministry of Trade, Industry and Energy, Roadmap of the strategy for 3D printing technology, Report on the 3D prinitng-2014 year (1st ed.), 2014.
  5. Bose, S., Roy, M., and Bandyopadhyay, A., "Recent advances in bone tissue engineering scaffolds", Trends Biotechnol, Vol. 30, 2012, pp. 546-554. https://doi.org/10.1016/j.tibtech.2012.07.005
  6. Christof, W., Arun, A., Benjamin, B., and Jochen, S., "Business Models in the Service World", Journal IT Professional, Vol. 11, No. 2, 2009, pp. 28-33.
  7. Deloitte, "Convergence of 3D Printing and Medical Technology", Deloitte Anjin Review, No. 4, 2015, pp. 54-61.
  8. Gross, B. C., Erkal, J. L., Lockwood, S. Y., Chen, C., and Spence, D. M., "Evaluation of 3D printing and its potential impact on biotechnology and the chemical sciences", Analytical Chemistry, Vol. 86, No. 7, 2014, pp. 3240-3293. https://doi.org/10.1021/ac403397r
  9. Hockaday, L. A., Kang, K. H., Colangelo, N. W., Cheung, P. Y. C., Duan, B., Malone, E., Wu, J., Girardi, L. N., Bonassar, L. J., Lipson, H., Chu, C. C., and Butcher, J. T., "Rapid 3D printing of anatomically accurate and mechanically heterogeneous aortic valve hydrogelscaffolds", Biofabrication, Vol. 4, 2012.
  10. Hong, J.-S., Kim, T.-K., and Im, D.-O., "A Study on a Long-term Demand Forecasting and Characterization of Diffusion Process for Medical Equipments", Institute of Industrial Engineers, 2008, pp. 442-450.
  11. Im, S.-Y., "3D Printing Technology Convergence in Medical Industry", Science and Technology Policy, Vol. 25, No. 7, 2015, pp. 10-13.
  12. Jakab, K. R., Damon, B., Neagu, A., and Forgacs, G., "Three-dimensional tissue constructs builtby bioprinting", Biorheology, Vol. 43, 2006, pp. 509-513.
  13. Kim, H.-S., Kim, M.-K., and Shin, H.-S., "Expenditure in ambulatory dental care and factors related to its spending", Journal of Health Policy and Administration, Vol. 22, No. 2, 2012, pp. 207-224 https://doi.org/10.4332/KJHPA.2012.22.2.207
  14. Kim, J.-S., "3D Printonomics, From centralized production to the reintroduction of craftman", Dong-A Business Review, No. 173, 2015, pp. 74-83.
  15. Kim, S.-H., Jung, B.-H., Park, M.-K., Park, J.-S., Ki, M.-R., and Pack, S.-P., "Status and Prospect of 3D Bio-Printing Technology", KSBB Journal, Vol. 30, No. 6, 2015, pp. 268-274. https://doi.org/10.7841/ksbbj.2015.30.6.268
  16. Kim, S.-H., Yeo, K.-B., and Kim J.-K., Decision Making Analysis and Applications, (2nd ed.), Yeongji-Munhwa, 2009.
  17. Lee, S.-H., "Prospect for 3D printing Technology in Mdecal, Dental, and Pediatric Dental Field", J Korean Acad Pediatr Dent, Vol. 43, No. 1, 2016, pp. 93-108. https://doi.org/10.5933/JKAPD.2016.43.1.93
  18. Park, A.-R., Jin, D.-S., and Lee, K.-J., "Exploratory Case Study for Key Successful Factors of Producy Service System", Intelligence and Information Systems, Vol. 17, No. 4, 2011, pp. 255-277.
  19. Park, G.-W., Kim, Y.-S., Kim, S.-H., and Park, K.-T., "PSS Design Based on Service Encounter Technology : Focused on Universal Design", Korean Journal of Business Administration, Vol. 28, No. 8, 2015, pp. 2165-2185.
  20. Pfister, A., Landers, R., Laib, A., Hubner, U., Schmelzeisen, R., and Mulhaupt, R., "Biofunctional Rapid Prototyping for Tissue en gineeringApplications : 3D Bioplotting versus 3D Printing", Journal of Polymer Science : Part A : Polymer Chemistry, Vol. 42, No. 3, 2004, pp. 624-638. https://doi.org/10.1002/pola.10807
  21. Richard, D'Aveni, "The 3-D Printing Revolution", Havard Business Review, 2015, pp. 32-40.
  22. Welfare & Medical Big Data Sharing System, "http://opendata.hira.or.kr", Health Insurance Review & Assessment Service.

Cited by

  1. A Systematic Review of Manufacturing Method for Splint Using 3D Printing Technology vol.26, pp.2, 2018, https://doi.org/10.14519/jksot.2018.26.2.01