:::

詳目顯示

回上一頁
題名:影響雲端運算服務及QR Code 技術改善醫材管理接受度之研究
作者:吳尚哲
作者(外文):Chang-Jer Wu
校院名稱:南華大學
系所名稱:企業管理學系管理科學碩博士班
指導教授:褚麗絹
學位類別:博士
出版日期:2016
主題關鍵詞:雲端運算行動條碼醫材管理科技接受模式資訊成功模式Cloud ComputingQR CodeMedical Material ManagementTechnology Acceptance ModelInformation System Success Model
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:4
  本研究將QR Code技術結合雲端運算服務用以改善醫材管理接受度為主要目的。探討QR Code技術及雲端運算服務建置醫材管理之關係品質、資訊品質、系統品質、服務品質、知覺有用性、知覺易用性、使用意願對淨效益之變項影響,知覺有用性、知覺易用性對使用意願具有中介效果,且知覺有用性、知覺易用性與淨效益間中介效果。
  實際至醫療院所與器材供應商訪問調查,透過便利抽樣方式調查,並使用敘述性統計相關分析、驗證因素分析與結構方程模式等統計方法進行模型之驗證。分析台灣醫療院所和醫療器材供應商透過QR Code之資料收集、文獻整理並透過雲端運算服務與現有醫療器材管理實務比較,提出QR Code於醫材管理平台之作業規劃和系統流程,進行QR Code和雲端運算服務於醫材管理之改善方案研究。
  研究結果顯示,醫材管理雲平台運用QR Code技術及雲端運算服務建構醫材管理資訊系統,整合資訊交換與協同管理平台於醫材管理之應用,有助於病患之健康追蹤與管理以及節省醫材管理修繕維護成本,將是各大醫療院所與器材供應商作為提升醫材管理服務品質的最佳工具。
  The main purpose of the study is to improve the acceptance of medical material management by using QR code technology and cloud computing services. It investigates the variables such as relationship quality when cloud computing technologies is used to established medical material management as well as information quality, system quality, service quality, perceived usefulness, perceived ease of use and the willingness to use that affect the net benefits . It finds that perceived usefulness, perceived ease of use have the mediator effect to the willing to use and as well as to the net benefits.
  The research model is the information systems which utilizing QR code and cloud computing. Field research gathers information from the medical institutions and medical material suppliers. Convenience sampling survey has been used and the result is verified by descriptive statistics, correlation analysis, confirmatory factor analysis and structural equation modeling. By analyzing what the medical institutions and medical material suppliers in Taiwan do to collect information by QR code and comparing with the existing medical management practices comes out with the way how QR code can be applied in the platform and in the system process of the medical material management and then proceeds the research of utilizing QR code and cloud computing services on the improvement of medical material management.
  The results indicated that by using the QR code and cloud computing technology to the material management cloud platform and medical material management information systems integrates information exchange and collaborative management platform which can be used on the application of medical material management. It helps to track and manage the patients’ health and reduced the maintenance costs of the medical material management. And it certainly will be the best tool for every medical institution and medical material supplier to improve the quality of medical material management.
一、中文部分
1.工研院科技產業資訊室(民99),RFID在醫療產業的運用,工研資訊期刊,第36期第2卷,34-39頁。
2.王拔群(民103),醫療資訊科技於自動化醫療品質指標平台建置-經驗分享,醫院管理雜誌,第47期第2卷,37-42頁。
3.王惠民(民104),雲端應用服務之基石Openstack雲端平台,DIGITIMES商情期刊,DAF2015雲端服務應用論壇,11-13頁。
4.林裕洋(民102),推動健康雲,提升醫療品質。企業經理人雜誌,第23期第5卷,18-21頁。
5.林仲鑠(民103),導入雲端應用驅動企業關鍵競爭力,數位商情期刊,DAF2014雲端論壇,第6-8頁。
6.林美孜(民101),民眾對醫療院所網路掛號系統的持續使用意圖及影響持續使用意圖的因素,台灣通訊期刊,第45期第2卷,6-14頁。
7.林政宏、李宜庭、邱莉婷(民97),綠色科技新知,生活科技教育月刊,41卷第7期,第3-12頁。
8.林震岩(民101),SAS精析與實例,臺北:華泰文化。
9.行動上網聯盟OMIA-商務安全組(民96),OMIA行動條碼應用共同標準規範-第3.2版,行動條碼應用共通標準規範。
10.呂冠貞(民101),消費者採用行動條碼作為交易憑證意願影響因素之研究,消費資訊雜誌,第21期第3卷,69-88頁。
11.李文獻(民100),應用QR Code資訊系統於環境教育實施分析研究,以綠色地圖為例,生活科技教育月刊,第8期第3卷,18-34頁。
12.李友專(民102),雲端科技在醫療照護上之應用,第三屆台灣智慧醫療論壇論文集,台北醫學大學,14-21頁。
13.李炫昇、楊雪芳(民103),住院照護行動醫療發展現況,長期照護雜誌,第10卷第6期,101-108頁。
14.李姿嫻(民98),醫護人員使用數位學習系統之成效評估-以高雄某地區教學醫院為例,台灣家庭醫學研究月刊,第8期,112-120頁。
15.許明輝(民102),健康資訊科技之現況與未來,醫療品質雜誌,第5卷第6期,14-18頁。
16.吳政達(民104),結構方程模式IBM SPSS與AMOS的應用,臺北:智勝。
17.張勝茂、高翊峰、陳馨雯(民98),條碼知多少-淺談條碼的演進與二維條碼的應用,生活科技教育月刊,42卷第6期,第157-168頁。
18.溫信財、陳琬茹(民101),醫師對可攜式電子病歷之認知與使用意願,病歷資訊管理期刊,第10期第1卷,42-58頁。
19.邱瑞科、馬漢光、簡聖哲、陳麗卿(民101),雲端服務導向之冠狀動脈心臟病風險評估專家系統建立之研究,醫療資訊雜誌,第21期第4卷,35-52頁。
20.陳寬裕、王正華(民101),論文統計分析實務:SPSS與AMOS的應用,臺北:五南。
21.陳信溢、駱國勝(民103),雲端運算技術發展現況與趨勢,電信研究雙月刊,第41卷第3期,43-47頁。
22.陳美如、陳冠宇(民100),居家型、社區型和機構型三類高血壓個案對於臺北市政府市民健康生活照護服務之接受度與影響因素,醫療資訊雜誌,第20期第2卷,1-13頁。
23.陳國珍(民100),以科技接受模式及資訊系統成功模型探討使用者對「流感疫情通報系統」使用意願之研究,顧客滿意學刊,第13期第1卷,127-144頁。
24.陳彥勳(民98),以科技接受模式探討影響企業員工使用數位學習系統,創新與管理雜誌,第5期第1卷,95-117頁。
25.陳育量、鄭淑惠(民99),網路教學與社群學習在成人教育的應用-以混成是網路學習探討其行為意向,資訊管理學報,第17期第1卷,77-196頁。
26.陳慶煌、段伴虬(民103),QR Code應用於銀髮健康用品體驗脈絡洞察之研究,文化創意產業研究學報,第6期第2卷,79-96頁。
27.許芷浩(民100),雲端時代照護雲,建構醫療雲端照護平台,EC-電子商務期刊,第54期,18-23頁。
28.許孟祥、林盈君(民98),不確定性與信任對線上消費者購買意願之影響,電子商務學報,第12卷第3期,431-455頁。
29.楊迺仁(民100),建置醫療雲端服務環境將成未來趨勢,數位商情期刊,ESI2011智慧醫療論壇,15-17頁。
30.楊培祺、曾琬珺(民98),電子化教學檔案接受度研究,資訊管理學報第14期第3卷,81-97頁。
31.楊淑斐(民99),線上學習使用意向因果關係模式及比較分析,中山管理學報,第13卷第2期,721-742頁。
32.楊豐瑞(民103),以科技接受模型為基礎-探討消費者對QR Code虛貨架行動購物使用意願之影響因素,電子商務學報,第24期第1卷,69-88頁。
33.劉祥熹、涂登才、羅建昇(民99),從關係價值與關係品質觀點探討品牌形象對消費者滿意度與忠誠度之影響-臺灣筆記型電腦產業為例,資訊管理學報,第27期第3卷,225-245頁。
34.謝順金、周世傑(民96),社會大眾對RFID應用於醫療方面之接受度研究,資訊管理展望期刊,第9卷第2期,87-108頁。
35.魏文欽、賴佳伶(民100),影響美妝網站使用意圖關鍵因素之實證研究,技職教育期刊,第3期,80-94頁。
36.賴崇閔、黃秀美、廖述盛、黃雯雯(民98),3D虛擬實境應用於醫學教育接受度之研究,教育研究月刊,第126期,24-36頁。
37.關千羽(民99),結合TAM與TPB模型探討虛擬網站對醫療科技之推廣效果,醫務管理學報,第32期第3卷,33-54頁。

二、英文部分
1.Ajzen, I. & M. Fishbein (1980), On Construct Validity: A Critique of Miniard and Cohens Paper, Journal of Experimental Social Psychology, Vol. 17, No. 3, pp. 340-350.
2.Albert, R. & Albert-László Barabási (2002), Statistical Mechanics of Complex Networks, Reviews of modern physics, Vol. 7,No. 2, pp. 1- 47.
3.Anderson, J. C. & D. W. Gerbing (1988), Assumptions and Comparative Strengths of the Two-step Approach Comment on Fornell and Yi, Sociological Methods & Research, Vol. 20, No. 3, pp. 321-333.
4.Armbrust, M., A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica & M. Zaharia (2010), A View of Cloud Computing, Communications of the ACM, Vol. 53, No. 4, pp. 50-58.
5.Bagozzi, R. P. & Y. Yi (1998), Specification, Evaluation, and Interpretation of Structural Equation Models, Journal of the Academy of Marketing Science, Vol. 40, No. 1, pp. 8-34.
6.Baik, S. (2012), Rethinking QR Code: Analog Portal to Digital World, Multimedia Tools and Applications, Vol. 21, No. 3, pp. 15-24.
7.Bailey, J. E. & S. W. Pearson (1983), Development of a Tool for Measuring and Analyzing Computer User Satisfaction, Management Science, Vol. 29, No. 5, pp. 530-545.
8.Baron, R. M. & D. A. Kenny (1986), The Moderator - Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations, Journal of Personality and Social Psychology, Vol. 51, No. 6, pp. 11-73.
9.Braak, H., K. Del Tredici, U. Rüb, R. A. De Vos, E. N. Jansen Steur & E. Braak (2003), Staging of Brain Pathology Related to Sporadic Parkinson’s disease, Neurobiology of Aging,Vol. 24, No. 2, pp. 197-211.
10.Buttell, Amy E. (2010), 6 Reasons to Switch to Cloud Computing, Journal of Cloud Computing Technology , Vol. 5, No. 3, pp. 22-34.
11.Chin P. T., S. O. Cheung & K. Y. Chen (2010), Research and Development of Application of Mobile Bar Code to Mobile Sightseeing Guide on Mobile Phone, Wseas Transctions on Information Science and Applications, Vol. 1, No. 2, pp. 16-25.
12.Chiu Y. W., T. H. Lin, W. S. Huang, C. Y. Teng, Y. S. Liou, W. H. Kuo, W. L. Lin, H. I. Huang, J. N. Tung, C. Y. Huang, J. Y. Liu, W. H. Wang, J. M. Hwang & H. C. Kuo (2011), Baicalein Inhibits the Migration and Invasive Properties of Human Hepatoma Cells, Toxicology and Applied Pharmacology, Vol. 255, No. 3, pp. 316-326.
13.Chow, P. T., S. O. Cheung, & K. Y. Chan (2012), Trust-Building in Construction Contracting: Mechanism and Expectation, International Journal of Project Management, Vol. 30, No. 8, pp. 927-937.
14.Chu, L. C., C. L. Lee & C. J. Wu (2012), Applying QR CodeTechnology to Facilitate Hospital Medical Equipment Repair Management, ICCECT, pp. 856-859.
15.Chu, L. C., C. L. Lee, & C. J. Wu (2013), QR Code Applicaton for Special Medical Management, Advances in Information Sciences and Service, Sciences, Vol. 5, No. 4, pp. 103-111.
16.Churchill, Jr. A. G. (1979), A Paradigm for Developing Better Measures of Marketing Constructs, Journal of Marketing Research, pp. 64-73.
17.Davis, F. D. (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, Vol. 13, No. 2, pp. 319-340.
18.DeLone, W. H. & E. R. McLean (2003), The DeLone and McLean Model of Information System Success: A Ten-Year Update, Journal of Marketing, pp. 361-371.
19.DeLone, W. H. & E. R. McLean. (1992), Information Systems Success: The Qquest for the Dependent Variable, Information Systems Research, Vol. 3,No. 1, pp. 60-95.
20.Doll, W. J. & G. Torkzadeh (1988), The Measurement of End-User Computing Satisfaction, MIS Quarterly, pp. 259-274.
21.Dominici, M., B. K. Le, I. Mueller, I. Slaper-Cortenbach, F. Marini, D. Krause & Horwitz, E. M. (1996), Minimal Criteria for Defining Multipotent Mesenchymal Stromal Cells, The International Society for Cellular Therapy Position Statement Cytotherapy, Vol. 8, No. 4, pp. 315-317.
22.Dünnebeil, S. L. (2012), Determinants of Physicians, Technology Acceptance for E-Health in Ambulatory Care, International Journal of Medical Informatics, Vol. 81, No. 11, pp. 746-760.
23.Efron, B. (1979), Bootstrap Method: Another Look at The Jacknife, Annuals of Statistics, Vol. 17, No. 2, pp. 1-26.
24.Egea, J. M. O., M. V. R. González & M. R. Menéndez (2011), Explaining Physicians Acceptance of Ehcr Systems: An Extension of TAM with Trust and Risk Factors, Computers in Human Behavior, Vol. 27, No. 1, pp. 319-332.
25.Erdogmus, H. (2009), Cloud Computing: Does Nirvana Hide behind the Nebula? Software, IEEE, Vol. 26, No. 2, pp. 4-6.
26.Fornel, L. C. & D. F. Larcker (1981), Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research, pp. 39-50.
27.Fornell, C. & D. F. Larcker (1988), Evaluating Structural Equation Models with Unobervables and Measurement Error, Journal of Marketing Research, Vol. 18, No.3, pp. 39-50.
28.Gabarino, J. S. & S. A. Johnson (2012), Customer Satisfaction and Loyalty in Service: Two Concepts, four Constructs, Several Relationships, Journal of Retailing and Consumer Services, Vol. 15, No. 2, pp. 156-162.
29.Hair, J. F., R. E. Anderson, R. L. Tatham & W. C. Black (1998), Multivariate Data Analysis, 5th Edition, Prentice Hall.
30.Han, S., P. Mustonen, M. Seppanen & M. Kallio (2006), Physicians' Acceptance of Mobile Communication Technology: An Exploratory Study, International Journal of Mobile Communications, Vol. 4, No. 2, pp. 210-230.
31.Horan, T. A., B. Tulu, B. Hilton & J. Burton (2004), Use of online Systems in Clinical Medical Assessments: An Analysis of Physician Acceptance of Online Disability Evaluation Systems. In System Sciences, Proceedings of the 37th Annual Hawaii International Conference, pp. 10.
32.Hsu, C. L. & H. P. Lu (2004), Why Do PeoplePlay On-Line Games? An Extended TAM with Social Influence and Flow Experience, Information and Management, Vo. 41, No. 7, pp. 853-868.
33.Hu, L. T. & P. M. Bentler (1995), Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives, Structural Equation Modeling: A Multidisciplinary Journal, Vol. 6, No. 1, pp. 1-55.
34.Hu, P. J., P. Y. Chau, O. R. L. Sheng & K. Y. Tam (1999), Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology, Journal of Mmanagement Information Systems, pp. 91-112.
35.Huang, P. K & M. A. Taffe (2012), Contrasting Effects of D-Metham Phetamine, 34-Methylene Dioxymetham Phetamine, 4-Methy Ane Dioxy Pyrovalerone, and 4-Methy Lmeth Cathinone on Wheel Activity in Rats, Drug and Alcohol Dependence, Vol. 12, No. 1, pp. 168-175.
36.Huang, W. M. & C. T. Shih (2011), An Empirical Study on the Intentions of Physicians in Adopting Electronic Medical Records with Modified Technology Acceptance Models in Rural Areas of Taiwan, Pacific Asia Conference on Information Systems, Brisban, Australia.
37.Jung, C. G. (2014), Collected Works, Mysterium Coniunctionis, Vol. 14, No. 4, pp. 362-381.
38.Kim, G. B., D. H. Choe, J. H. Lee, S. S. Park, S. H. Jun & D. S. Jang (2013), The Technology Acceptance Model for Planing Console Gamein Korea, International Journal of Computer Science and Network Security, Vol. 13, No. 5, pp. 9-12.
39.Kwon, T. H. & R. W. Zmud (1987), Unifying the Fragmented Models of Information Systems Implementation, In Critical Issues in Information Systems Research (Eds, Boland, R. J. & R. A. Hirschheim) Wiley, Chichester, pp. 227-252.
40.Lee, M. C. (2010), Factors Influencing the Adoption of Internet Banking: An Integration of TAM and TPB With Perceived Risk and Perceived Benefit, Electronic Commerce Research and Applications, Vol. 8, No. 3, pp. 130-141.
41.Liang, H., Y. Xue, W. R. Boulton & T. A. Byrd (2004), Why Western Vendors don't Dominate China's ERP Market, Communications of the ACM, Vol. 47, No. 7, pp. 69-72.
42.Lin, C. P., H. N. Huang, S. W. Joe & H. C. Ma (2008), Learning the Determinants of Satisfaction and Usage Intention of Instant Messaging, Cyberpsychology & Behavior, Vol. 11, No. 3, pp. 262-267.
43.Lin, C. P., H. N. Huang, S. W. Joe & H. C. Ma (2008), Learning the Determinants of Satisfaction and Usage Intention of Instant Messaging, Cyberpsychology & Behavior, Vol. 11, No. 3, pp. 262-267.
44.Lorenzi D., J. Vaidya, S. Chun, B. Shafiq & V. Atluri (2014), Enhancing the Government Service Experience through QR Codes on Mobile Platforms, Government Information Quarterly, Vol. 31,No. 3, pp. 6-16.
45.Mabel, V. B., N. H. Juan-Ivan & J. G. Elitania (2010), Using QR Codes to Improve Mobile Wellness Applications, International Journal of Computer Science and Network Security(IJCSNS), DEC, pp. 50-53.
46.Mason, R. O. (1978), Measuring Information Output:A Communication Systems Approach, Information Management, Vol. 1, No. 5, pp. 219-234.
47.Meade, L. M. & A. Presley (2002), R&D Project Selection Using the Analytic Network Process, IEEE Transactions on Engineering Management, Vol. 49, No. 1, pp. 59-66.
48.Meador, D. H., G. C. Druff, S. Y. Dalack & H. L. James (2014), Nicotine Dependence in Schizophrenia: Clinical Phenomena and Laboratory Findings, American Journal Psychiatry, Vol. 155, No. 11, pp. 490-501.
49.Melas, K.Y. & L. Y. John (2011), The Effect of Hole Transport Material Pore Filling on Photovoltaic Performance in Solid‐StateDye‐Sensitized Solar Cells, Advanced Energy Materials, Vol. 1, No. 2, pp. 407-414.
50.Miller, D. (2001), New Laser-Directed Deposition Technology, Microelectronic Fabrication, Vol. 26, pp. 16.
51.Mutia, D., J. Kihiu & S. Maranga (2012), Maintenance Management of Medical Equipment in Hospitals, Industrial Engineering Letters, Vol. 2, No. 3, pp. 9-19.
52.Myers, N., R. AMittermeier, C. G. Mittermeier, G. A. Da Fonseca & J. Kent (2000), Biodiversity Hotspots for Conservation Priorities, Nature, Vol. 403, No. 47, pp. 853-858.
53.Nugent, P., A. Kim & S. Perlmutter (2002), K‐corrections and Extinction Corrections for Type Ia Supernovae, Publications of the Astronomical Society of the Pacific, Vol. 114, No. 798, pp. 803-819.
54.Nunez, C. & D. Castro (2011), Management Information System of Medical Equipment Using Mobile Devices, Journal of Physics, Vol. 313, pp. 1-6.
55.Oliver A. E., L. M. Crowe & J. H. Crew (1998), The XY Gene Hypothesis of Psychosis: Origins and Current Status, American Journal of Medical Genetics Part B, Vol. 162, No. 8, pp. 800-824.
56.Onwuegbuzie, A. J. & N. L. Leech (2005), The Role of Sampling in Qualitative Research, Academic Exchange Quarterly, Vol. 9, No. 3, pp. 280-294.
57.O'reilly, T. (2007), What is Web 2.0: Design Patterns and Business Models for Thenext Generation of Software, Communications & Strategies, No. 17, p. 17.
58.Parasuraman, A., V. A. Zeithaml & L. L. Berry (1988), SERVQUAL: A Multiple-Item Scale for Measuring Comsumer Perceptions of Service Quality, Journal of Retailing, Vol. 64, No. 1, pp 12-40.
59.Parasuraman, A., V. A. Zeithaml & L. L. Berry (1996), The Behavioral Consequences of Service Quality, Journal of Marketing, Vol. 60, No. 3, pp. 31-46.
60.Paré, G., C. Sicotte & H. Jacques (2006), The Effects of Creating Psychological Ownership on Physicians’ Acceptance of Clinical Information Systems, Journal of the American Medical Informatics Association, Vol. 13, No. 2, pp. 197-205.
61.Pitt, L. F., R. T. Watson & C. B. Kavan (1995), Measuring Information Systems Services Quality: Concerns for A Complete Canvas, MIS Quarterly, Vol. 21, No. 2, pp. 209-221.
62.Presley, A. & T. Presley (2009), Factors Influencing Student Acceptance and Use of Academic Portals, Journal of Computing in higher Education, Vol. 21, No. 3, pp. 167-182.
63.Raymond, H. M., C. M. Douglas & M. A. C. Christine (2009), Response Surface Methodology: Process and Product Optimization Using Designed Experiments(3rd Ed.), Wiley, New York.
64.Ritu A., A. Animesh & K. Prasad (2009), Social Interactions and The Digital Divide: Explaining Variations in Internet Use, Information Systems Research, Vol. 20, No. 1, pp. 277-294.
65.Roberts, K. S. & R. B. Varki (2003), Measuring the Quality of Relationships in Consumer Services: An Empirical Study, European Journal of Marketing, Vol. 37, No. 2, pp. 169-196.
66.Saarinen, J. (2006), Traditions of Sustainability in Tourism Studies, The Mathematical Theory of Communication, Vol. 33, No. 4, pp. 1121-1140.
67.Schaik, J. B., S. P. Saltikov & J. S. L. Warren (2003), What You See is Not What You Get, 3D Back Shape in Normal Young Adults, Journal of Bone & Joint Surgery, Vol. 35, No. 3, pp. 190-203.
68.Schaik, P. V., J. A. Bettany-Saltikov & J. G. Warren (2002), Clinical Acceptance of a Low-Cost Portable System for Postural Assessment, Behaviour & Information Technology, Vol. 21, No. 1, pp. 47-57.
69.Schumacker, R. E. & R. G. Lomax (1996), A Beginner's Guide to Structural Equation Modeling, Psychology Press.
70.Shannon, C. E. & W. Weaver (1949), The Mathematical Theory of Communication, University of Illinois Press: Urbana, IL, USA
71.Shin, D. H., J. Jung & B. H. Chang (2012), The Psychology Behind QR Code: User Experience Perspective, Computer in Human Behavior, Vol. 28, No. 1, pp. 1417-1426.
72.Shin, S. J., J. Y. Jung & B. K. Bang (2012), Preconditioning with Erythropoietin Protects Against Subsequent is Chemia-Reperfusion Injury in Rat Kidney, The FASEB Journal, Vol. 17, No. 12, pp. 1754-1755.
73.Srinivasan, T. (2000), Adaptable Method and System for Message Delivery, U.S. Patent, Vol. 9, No. 3, pp. 61-72.
74.Sultan, N. (2010), Cloud Computing for Education: A New Dawn? International Journal of Information Management, Vol. 30, No. 2, pp. 109-116.
75.Teo, T. (2010), Modelling Technology Acceptance in Education: A Studyof Pre-Service Teachers, Computers & Education, Vol. 52, No. 2, pp. 302-312.
76.Tung, F. C., S. C. Chang & C. M. Chou (2008), An Extension of Ttrust and TAM Model with IDT in the Adoption of the Eelectronic Logistics Information System in HIS in the Medical Industry, International Journal of Medical Informatics, Vol. 77, No. 5, pp. 324-335.
77.Varki, S. L. & R. S. Brodie (2003), Measuring the Quality of Relationships in Consumer Services: An Empirical Study, European Journal of Marketing, Vol. 37, No. 2, pp. 169-196.
78.Venkatesh, V. & F. D. Davis (2012), Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology, MIS Quarterly, Vol. 36, No. 1, pp. 157-178.
79.Venkatesh, V., M. G. Morris, G. B. Davis & F. D. Davis, (2003), User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, Vol. 27, No. 3, pp. 425-478.
80.Voiskounsky, A. E., O. V. Mitina & A. A. Avestisova (2004), Playing Online Games: Flow Experience, Psychnology Journal, Vo1. 2, No. 3, pp. 259-281.
81.Wan, T. T. H. (2002), Evidence-Based Health Care Management: Multivariate Modeling Approaches, The Netherlands: Kluwer Academic Publishers.
82.Wang, B. W., H. L. Wu, Z. M. Wang & S. Gao (2011), Anorgano Metallic Single-Ion Magnet, Journal of the American Chemical Society, Vol. 133, No. 13, pp. 4730-4733.
83.Williams, L. J. & J. T. Hazer (1986), Antecedents and Consequences of Satisfaction and Commitment in Turnover Models: A Reanalys is Using Latent Variable Structural Equation Methods, Journal of Applied Psychology, Vol. 71, No. 2, pp. 219.
84.Wu, C. H. & M. S. Joy (2007), Spirituality, Stewardship, and Financial Decision-Making: toward a Theory of Intertemporal Stewardship, Managerial Finance, Vol. 33, No. 12, pp. 957-969.
85.Wu, R. C. (2005), Selective Phosphorylations of the SRC-3/AIB1 Coactivator Integrate Genomic Reponses to Multiple Cellular Signaling Pathways, Molecular Cell, Vol. 15, No. 6, pp. 937-949.
86.Yue, L. Y. & M. Liu (2008), Recognition of QR Code with Mobile Phone, Chinese Control and Desion Conference, pp. 203-206.
87.Zeithaml, V. A., L. L. Berry & A. Parasuraman (1996), The Behavioral Consequences of Service Quality, Journal of Marketing, Vol. 60, No. 2, pp. 31-46.
88.Zmud, R. W. & T. H. Kwon (1987), Unifying the Fragmented Models of Information Systems Implementation, Critical Issues in Information Systems Research, John Wiley & Sons, Inc, NY, USA.

三、網路部分
1.維基百科(2015),行動裝置,取自:https://zh.wikipedia.org/zh-tw/%E7%A7%BB%E5%8A%A8%E8%AE%BE%E5%A4%87
2.Denso Wave Incorporated (2012), Answers to you questions about the QR Code, Retrieved from: http://www.qrcode.com/zh/
3.National Institute of Standards and Technology (2013), Information Technology Laboratory, Retrieved from: http://www.nist.gov/itl/cloud/
4.Gartner (2012), Why Gartner, Retrieved from: http://www.gartner.com/technology/why_gartner.jsp
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE