研究生: |
陳良榮 Liang-jung Chen |
---|---|
論文名稱: |
美容醫學診療產業服務平台之研究-以影像檢測技術與e化管理系統為例 The Research of Cosmoetics Medical Scence Diagnosis Service Platform Base on Biomedical Image Detection and Electronicize Management System |
指導教授: |
吳宗成
Tzong-Chen Wu |
口試委員: |
欒斌
Luarn Pin 葉瑞徽 Ruey Huei Yeh |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 管理研究所 Graduate Institute of Management |
論文出版年: | 2006 |
畢業學年度: | 94 |
語文別: | 中文 |
論文頁數: | 96 |
中文關鍵詞: | 美容醫學診療 、科技接受度模型 、紋理分割演算法 |
外文關鍵詞: | Cosmoetics medical diagnosis, Technology acceptance model, Image segmentation |
相關次數: | 點閱:252 下載:2 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
美容醫學診療產業是一個以帶動人類健康為目的之產業。透過美容的療程及皮膚的檢測,希望達到外在的健康及美麗,進而提昇信心,建立內在心靈的健康。現階段這個產業相當蓬勃,卻只偏向美容師的手技,欠缺科學化的管理經營,有必要引進良好的服務平台,創造優質的產業發展空間。
本論文以美容師做為此產業中案例的調查,設計系列的使用者科技接受度模型問卷,嘗試將影像處理中對紋理分割演算法為技術核心價值,建置一套美容療程及病理檢測分析的雛型系統平台。希望透過此平台的建置及應用,能加速推動美容醫學診療上美容科技分析及管理的質與量升級。
本論文針對美容師問卷資料回收,經效度分析、信度分析及相關分析,並做訪談會議與討論,在系統使用上之認知有用性、易用性及使用意願上,皆呈正面相關。
本論文研究成果,對美容醫學診療產業之服務平台規劃,以影像檢測技術及e化管理系統,為本產業奠定重要的發展及運用方向,並將更進一步研究與發展。
Cosmetics medical diagnostics and treatment is an industry that put the accent on humankind’s healthy. By means of cosmetic diagnoses and the inspection of the skin, we hope that we can acquire not only the externals beauty, but also internalize the confidence in ourselves, and then build up a healthy spirit. Our current Cosmetics medical diagnostics and treatment is rising and flourishing. However, it is a pity that we are now emphasizing on the cosmetology but lacking the sound and scientific management. In view of this, it is necessary to provide a good service platform to create a high-grade developing environment for this industry.
In this survey, we take cosmetician as our sampling group and design a series of the questionnaires to know their acceptance of the information technology. We try to use the Texture Segmentation Algorithm base on image process as a core technology to set up a cosmetic treatment and an analytic model of morbid inspection. After establishing and applying for this model, we expect that we can improve the analysis of the Cosmetics medical diagnostics and treatment industry and also enhance the quality and quantity of the management.
We collected the questionnaires and analyzed it by confidence analysis and efficiency analysis. Besides, we processed the interview and the discussion with some sampling group as well. All the Interpretation of the Results shows that we acquire the positive response from the sampling group. Most of them acknowledge that the model we established is a useful and friendly tool, and also have willing to adopt it.
The purpose of this dissertation is to build up a service platform for Cosmetics medical diagnostics and treatment industry, using the image detecting technology and the electronicize management system as an important foundation of this industry, and also, developing and establishing the direction of the application.
中文文獻
[1] 李新發編,『開啟美容成功之路』,全國美容消費雜誌社,民國93年12月
[2] 陳衍良、賴碧芬合編,『皮膚奧斯卡』,聯經出版,民國90年10月
[3] 朱碧靜著,『從使用者特性、使用者參與及科技接受度,探討圖書館自動化系統之採用』,圖 書 資 訊 學 刊第十七期,民國91年12月,頁95-121
[4] 陳正坤,資訊系統發展之委外管理研究。國立臺灣大學商學研究所未出版碩士論文,民國76年
[5] 何文斌,國小行政人員網路素養對行政網路資訊系統接受度之研究—以台南市為例,台南師範學院國民教育研究所,民國90年
[6] 吳國卿、梁永安、蘇玉櫻,刻不容緩,經典傳訊。譯自Marry Modahl,民國99年
[7] 周惠文、吳俊毅,科技接受模型之實徵研究--從動機角度,國立中央大學資訊管理研究所碩士論文,民國89年
[8] 張劭勳,電子商店之關係品質模式—融合交易成本理論及科技接受模式之觀點,民國91年
[9] 張金鐘,以科技接受模式探討教師與學生採用數位化教材之態度,國立中山大學資訊管理學系研究所 碩士論文,民國90年
[10] 陳育達,由使用者態度探討投資者對網路下單之接受度,國立中央大學資訊管理研究所碩士論文,民國90年
[11] 陳淑鳳,電子化政府下國稅稽徵人員資訊科技接受行為模式之研究,國立中山大學 公共事務管理研究所,民國89年
[12] 覃業明,科技接受模型之實證研究-以國內醫療網站為例,國立成功大學資訊管理研究所論文,民國90年
[13] 蔣宗男,情境因素、消費者購買涉入與創新接受態度影響網路競標意願之研究,國立政治大學廣告學系,民國90年
[14] 蘇宏松,以科技接受模型探討不同購買涉入下消費者對電子商店之使用意圖,淡江大學資訊管理研究所,民國91年
[15] 劉素瑜,個人化電子服務接受度之研究--以電子報為例,國立台灣科技大學資訊管理系,民國91年
英文文獻
[1] K. L. Lee and L. H. Chen, “Unsupervised Texture Segmentation by Determining the Interior of Texture Regions Based on Wavelet Transform”, accepted by International Journal of Pattern Recognition and Artificial Intelligence, Vol. 15, No. 8, pp.1231-1250, 2001.
[2] K. L. Lee and L. H. Chen, “A New Method for Extracting Primitives of Regular Textures Based on Wavelet Transform”, accepted by International Journal of Pattern Recognition and Artificial Intelligence, Vol. 16, No.1, pp. 1-25, 2002.
[3] K. L. Lee and L. H. Chen, “A New Method for Rough Texture Classification and Class Weight Estimation for Texture Retrieval”, submitted to Pattern Recognition and Image Analysis.
[4] K. L. Lee and L. H. Chen,” An Efficient Computation Method for the Texture Browsing Descriptor of MPEG-7”, submitted to Image and Vision Computing.
[5] B. Ives & M. H. Olson, “User involvement and MIS success: a review of research,Management “Science 30,1983,p586-p603.
[6] Gary W. Dickson & James A. Senn, “Research in management information systems -the Minnesota experiments,” Management Science 23:9,1977, p913-p923.
[7] Cyrus F. Gibson & Richard L. Nolan, “Managing the four stages of EDP growth,”Harvard Business Review 52:1,1973, p76- p88.
[8] I. Ajzen & M. Fishebein, Understanding attitudes and predicting social behavior(Englewood Cliffs, NJ,Prentice-Hall, 1980.
[9] F. D. Davis , R. P. Bagozzi & P. R. Warshaw, “User acceptance of computer technology: a comparison of two theoretical models,” Management Science 35:8, 1989, p982-p1003.
[10] B. Szajna, “Empirical evaluation of the revised technology acceptance model,” Management Science 42:1 ,1996, p85-p92.
[11] D. A. Adams, R. R. Nelson & P. A. Todd, “perceived usefulness, ease of use, and usage of information technology: a replication,” MIS Quarterly 16:2,1992,p227-p247.
[12] D. Straub, Limayem D. & E. Karahanna-Evaristo, “Measuring system usage: implications for its theory testing,” Management Science 41:8 (1995):1328-1342.
[13] M. Igbaria, N. Zinatelli, P. Cragg & A.L.M. Cavaye, “Personal computing acceptanc factors in small firms: a structural equation model,” MIS Quarterly 21:3,1997,p279-p305.
[14] C. R. Jung, J.Scharcanski, “Robust watershed segmentation using the wavelet transform.” IEEE (SIBGRAPI’02), 2002.
[15] L. Vincent and P. Soille, “Watersheds in digital spaces: An efficient algorithm based on immersion simulations.”IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, pp. 583-598,Jun 1991.
[16] R. Agarwal, and J. Prasad (1999). “Are individual differences germane to the acceptance of new information technologies,” Decision Sciences, 30(2), pp.361-391.
[17] I. Ajzen, and M. Fishbein (1980). Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice-Hall.
[18] R.P. Bagozzi, F. Davis and P.R. Warshaw (1992). “Development and test of atheory of echnological learning and usage,” Human Relations, 45(7), New York,16pgs.
[19] F.D. Davis, R.P. Bagozzi and P.R. Warshaw (August 1989). “User acceptance of computer technology:A comparison of two theoretical models,” Management Science , 35( 8) , pp.982-1003.
[20] F. D. Davis(1986). A Technology Acceptance Model for Empirically Testing New End-User Information System :Theory and Results, Doctoral Dissertation, MIT Sloan School of Management ,Cambridge, MA.
[21] B. Szajna(1996). “Empirical evaluation of the revised technology acceptance model,” Management Science, 42(1), pp.85-92.
[22] V. Venkatesh and F.D. Davis (1996). “A model of the antecedents of perceived ease of use: Development and Test,” Decision Sciences, 27(3), pp.451-481.