Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 한창희 | - |
dc.date.accessioned | 2019-04-22T07:10:44Z | - |
dc.date.available | 2019-04-22T07:10:44Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.citation | Journal of Information Technology Applications & Management, v. 23, No. 2, Page. 263-277 | en_US |
dc.identifier.issn | 1598-6284 | - |
dc.identifier.uri | https://www.earticle.net/Article/A280909 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/102474 | - |
dc.description.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. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국정보기술응용학회 | en_US |
dc.subject | 3DPrinting | en_US |
dc.subject | Business-ICT Convergence | en_US |
dc.subject | Decision Making Tree Model | en_US |
dc.subject | Market Prediction | en_US |
dc.title | 의료분야 3D프린팅 비즈니스 시장규모 예측 연구 : 치과 분야를 중심으로 | en_US |
dc.title.alternative | Market Prediction Methodology for a Medical 3D Printing Business - Focusing on Dentistry - | en_US |
dc.type | Article | en_US |
dc.relation.no | 2 | - |
dc.relation.volume | 23 | - |
dc.relation.page | 263-277 | - |
dc.relation.journal | Journal of Information Technology Applications & Management | - |
dc.contributor.googleauthor | 김민관 | - |
dc.contributor.googleauthor | 이정우 | - |
dc.contributor.googleauthor | 김영명 | - |
dc.contributor.googleauthor | 이기광 | - |
dc.contributor.googleauthor | 한창희 | - |
dc.relation.code | 2016018291 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF BUSINESS AND ECONOMICS[E] | - |
dc.sector.department | DIVISION OF BUSINESS ADMINISTRATION | - |
dc.identifier.pid | chan | - |
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