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系統識別號 U0002-0503201313452800
中文論文名稱 CAD/CAM植牙設備之績效評估
英文論文名稱 Performance Evaluation of CAD/CAM in Dental Implant Equipment
校院名稱 淡江大學
系所名稱(中) 管理科學學系企業經營碩士在職專班
系所名稱(英) Executive Master’s Program of Business Administration(EMBA) in Management Sciences
學年度 101
學期 1
出版年 102
研究生中文姓名 高育靖
研究生英文姓名 Yu-Chin Kao
學號 799620157
學位類別 碩士
語文別 英文
口試日期 2013-01-11
論文頁數 62頁
口試委員 指導教授-陳怡妃
委員-歐陽良裕
委員-呂奇傑
中文關鍵字 效率前沿投射  兩階段資料包絡分析法  供應商的選擇  植牙系統 
英文關鍵字 Frontier Projection  Two-Stage DEA  Supplier Selection  Dental Implant System 
學科別分類
中文摘要 在過去的十年中植牙的技術發展快速,其穩定性與接受度都日漸取代傳統的活動假牙。尤其隨著全球進入高齡化的社會、戰後嬰兒潮的來臨與審美觀的需求,植牙市場長期來看都呈現穩定的成長。植牙的準確度是影響植牙成功的主要原因,CAD/ CAM(電腦輔助設計/電腦輔助製造)技術,在這一項領域中有其重要貢獻。
本研究使用兩階段資料包絡分析法(two-stage DEA)評估植牙醫療系統的整體效率、知覺有用性與臨床接受度。整體績效中前兩名為靜態的Nobel與動態的Visit;在知覺有用性的構面中動態的Roboden系統效率得分最高,在臨床接受度中為靜態的Nobel為最有效率。本研究也發現,Robodent在知覺有用性中得分最高,表示Robodent可以提供較好的準確度,但在臨床接受度上卻敬陪末座,顯示使用端在選擇系統時仍以使用的方便性為主。
此外,本研究基於科技接受模式建構了供應商選擇偏好矩陣,可提供使用者諸如醫療院所與臨床醫生系統選擇客觀性的參考依據,並提供系統廠商其改進的方向。而建議系統廠商除了在精準度方面的提升外,更要注意使用者方便性與易用性。
英文摘要 Technological advances in dentistry over the last decade, dental implant has taken the place of traditional removable prosthesis and gradually dominant main treatment of snag accompany with its stability. Because the aging population society, the coming of baby boomers, and the aesthetic needs, the market of dental implant might have great development. Accuracy is the main influence in dental implant of success. The CAD-CAM technology is developed and improved very quickly in this decade to fulfill the requirements.
This study use two-stage DEA to assess the overall efficiency of different dental implant systems and the relative efficiency of perceived usefulness and clinician acceptance. The results of frontier projection to 6 systems are presented in terms of efficiency scores. The better performs of overall efficiency are Nobel of Static and Roboden of Dynamic. For the relative efficiency of perceived usefulness, Roboden of Dynamic performs the best, but the static system is more acceptable by clinical dentists because Nobel, Simplant and Treon are all static systems. In addition, this study also finds that Robodent performs best on perceived usefulness but get the lowest score on clinician acceptance which reveals that clinical dentists would choose system mainly by convenience to use but not accuracy of device. Furthermore, this research collects data of BCG Matrix and Optimal Intermediate Measure to provide useful information for system producers and suggest they should not only focus on improvement of accuracy but also emphasize on user convenience.
The result of this study can provide not only decision-making information of medical organizations, dentists and patients but also the standard for system producers to improve their performance.
論文目次 TABLE OF CONTENTS
TABLE OF CONTENTS I
LIST OF TABLES II
LIST OF FIGURES III
CHAPTER 1 INTRODUCTION 1
1.1 RESEARCH BACKGROUND 1
1.2 RESEARCH MOTIVATION AND PURPOSE 6
1.3 RESEARCH PROCESS 8
1.4 RESEARCH SCOPE AND LIMITATION 10
CHAPTER 2 LITERATURE REVIEW 12
2.1 SURGICAL IMPLANT DENTISTRY 12
2.2 DATA ENVELOPMENT ANALYSIS IN MEDICAL APPLICATIONS 16
2.3 TWO-STAGE DEA 19
2.4 THE TECHNOLOGY ACCEPTANCE MODEL 22
CHAPTER 3 RESEARCH METHODOLOGY 24
3.1 FRONTIER PROJECTION TWO-STAGE MODEL 24
3.2 DETERMINATION OF INPUT AND OUTPUT VARIABLES 29
CHAPTER 4 EMPRICAL 34
4.1 EMPIRICAL DATA 34
4.2 TWO-STAGE FRONTIER PROJECTION 36
4.3 PERCEIVED USEFULNESS EFFICIENCY AND CLINICIAN ACCEPTANCE EFFICIENCY 37
CHAPTER 5 CONCLUSIONS 42
5.1 CONCLUSIONS 42
5.2 RECOMMENDATIONS FOR FUTURE RESEARCH 45
REFERENCES 46
APPENDIX 58

LIST OF TABLES
Table 4-1 The Original Data 34
Table 4-2 Transformed Data 35
Table 4-3 Output-Oriented Overall Efficiency Scores 36
Table 4-4 Perceived Usefulness Efficiency and Clinician Acceptance Efficiency 37
Table 4-5 Optimal Intermediate Measures 40

Fig. 1-1 Dental Treatment Population of Developed Countries 2
Fig. 1-2 International Penetration Rate of Dental Implant in 2008 3
Fig. 1-3 Global Dental Implant Market Estimates 4
Fig. 1-4 Research Process 9
Fig. 2-1 Import of Implant Products in Taiwan 13
Fig. 2-2 Two Sub-DMUs in a Two-Stage DEA Model 20
Fig. 2-3 The Technology Acceptance Model. 22
Fig. 3-1 Two-stage Process 25
Fig. 3-2 Dental System Selection Process 30
Fig. 3-3 Operation Variables of Intermediate Measures 31
Fig. 4-1 A System Selections Preference Matrix 39
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