| dc.contributor.advisor | 洪叔民 | zh_TW |
| dc.contributor.author (Authors) | 官千羽 | zh_TW |
| dc.contributor.author (Authors) | Kuan, Lianne | en_US |
| dc.creator (作者) | 官千羽 | zh_TW |
| dc.creator (作者) | Kuan, Lianne | en_US |
| dc.date (日期) | 2009 | en_US |
| dc.date.accessioned | 8-Dec-2010 13:19:11 (UTC+8) | - |
| dc.date.available | 8-Dec-2010 13:19:11 (UTC+8) | - |
| dc.date.issued (上傳時間) | 8-Dec-2010 13:19:11 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0097355051 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/49535 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 企業管理研究所 | zh_TW |
| dc.description (描述) | 97355051 | zh_TW |
| dc.description (描述) | 98 | zh_TW |
| dc.description.abstract (摘要) | 本研究結合科技接受模型與計畫行為理論，並加入創新擴散理論中的個人創新特質與相容性，來探討影響網路使用者對於使用醫療網站之行為意願的要素，並以推廣的角度進一步探討網站使用意願與醫療科技採納意願間的強度關連。而由於口腔雷射為台灣地區甫引進之醫療科技，其並首先嘗試透過非營利組織—口腔雷射牙醫學會來建置新型態之資訊網站，試圖以整合模式針對口腔雷射進行全面性的推廣；因此本研究將以口腔雷射牙醫學會網站做為個案研究對象，進而提出針對網站本身以及相關推廣策略的後續建議。 因此，本研究主要利用問卷調查方式來衡量個人創新特質、資訊品質、認知有用性、認知易用性、信任、相容性與認知行為控制的構面，並探討前述構面分別對於面對網站之態度、行為意願以及對口腔雷射之採納意願的影響。在此同時亦透過性別與個人平均月收入這兩項調節變數來探討族群特性差異對於牙醫學會網站及口腔雷射使用意願間因果關係之影響。本研究主要以有接觸過牙醫學會網站之使用者為研究對象，在針對牙醫學會成員及網站使用者進行訪談後，即開始以學者文獻為背景設技研究架構，將問卷連結放置在牙醫學會網站中。在經一個月之收集後，共計回收444份有效問卷，並以線性結構模式(LISREL)進行分析。 研究結果發現，個人創新特質與資訊品質分別對網站的認知易用性與有用性有正向影響，而認知易用性與相容性除了會影響認知有用性外，也與認知有用性及信任共同影響民眾對網站的態度。態度與認知行為控制則將皆正向影響民眾對於網站的使用意願；最後，網站的使用意願與口腔雷射的採納意願間亦具有正向之關係，然其關聯強度會因性別之差異而有所不同。而在檢驗出上述結果後，本研究遂針對影響民眾認知之因素提出相關的網站改善建議，希望能夠在推廣方面收得更好的成效，並在日後將此類推廣模式延展到其他領域之醫療科技中，以供類似的醫療單位做為日後擴散創新醫療知識與科技的指標。 | zh_TW |
| dc.description.tableofcontents | 第一章、 緒論…………………………………………………………………………………………………..11.1 研究背景與動機……………………………………………………………………………………………11.2 研究問題與目的……………………………………………………………………………………………41.3 研究流程……………………………………………………………………………………………………….5第二章、 文獻探討…………………………………………………………………………………………..72.1 科技接受行為之測量模式…………………………………………………………………………….72.1.1 理性行為理論…………………………………………………………………………………………72.1.2 計畫行為理論…………………………………………………………………………………………92.1.3 科技接受模型……………………………………………………………………………………….112.1.4 科技接受行為之理論整合……………………………………………………………………162.2 創新擴散…………………………………………………………………………………………………..…23 2.2.1 個人創新特質……………………………………………………………………………………….24 2.2.2 認知創新特性……………………………………………………………………………………….25第三章、 研究設計…………………………………………………………………………………………323.1 研究架構……………………………………………………………………………………………………..323.2 研究假說……………………………………………………………………………………………………..343.3 研究變項之操作型定義………………………………………………………………………………393.4 問卷設計與資料收集………………………………………………………………………………….423.5 資料分析方法…………………………………………………………………………….……………….47第四章、 資料分析…………………………………………………………………………………………50 4.1 敘述性統計分析…………………………………………………………………………….…………..50 4.1.1 樣本資料分析………………………………………………………………………….…………..50 4.1.2 變異數分析…………………………….……………………………………………….……….…..42 4.2 信度與效度分析…………………………………………………………………………….……….…..55 4.2.1 信度分析…………………………………………………………………………….……….……….55 4.2.2 效度分析…………………………………………………………………………….……….……….57 4.3 驗證性因素分析…………………………………………………………………………….……….…..58 4.4 結構方程式模式分析…………………………………………………………………………….……63 4.4.1 SEM適配度分析………………………………………………………………………….……..63 4.4.2 變數間之因果關係…………………………………………………………………………….…64 4.4.3 調節變數檢定…………………………………………………………………………….…………66第五章、 結論與建議…………………………………………………………….………………………73 5.1 研究結論…………………………………………………………………………….……………………….73 5.2 管理實務意涵…………………………………………………………………….……………………….74 5.3 研究貢獻…………………………………………………………………………….……………………….77 5.4 研究限制與後續研究建議………………………………………………….………………………78附件一 醫療機構網際網路資訊管理辦法草案……………….……………………..88附件二 問卷內容…………………………………………………………….…………………………….90 圖目錄圖1-1 牙醫學會網站的行銷動能模型……………………………………………………………………4圖1-2 研究流程架構………………………………………………………………………………………………6圖2-1 理性行為理論之架構……………………………………………………………………………………8圖2-2 計畫行為理論之架構……………………………………………………………………………………9圖2-3 科技接受模型之架構………………………………………………………………………………… 12圖2-4 TAM2之架構……………………………………………………………………………………………..15圖3.1 研究架構…………………………………………………………………………………………………….32圖4-1 SEM參數模式路徑圖………………………………………………………………………………….65表目錄表2-1 TAM與TPB模型的整合應用……………………………………………………………………….20表2-2創新構面與相關科技接受模式的整合應用………………………………………………..28表3-1 訪談對象背景………………………………………………………………………………………….…43表3-2 問卷構面題項及參考來源………………………………………………………………………….44表3-3 模型評鑑指標…………………………………………………………………………………………….49表4-1 樣本資料分析—人口統計資料………………………………………………………………….50表4-2 不同性別在行為意願強度之差異………………………………………………………………52表4-3 不同年齡在行為意願強度之差異………………………………………………………………53表4-4 不同教育程度在行為意願強度之差異………………………………………………………53表4-5 不同職業在行為意願強度之差異………………………………………………………………54表4-6 不同平均月收入在行為意願強度之差異…………………………………………………..54表4-7 問卷信度分析..…………………………………………………………………………………………..55表4-8 研究變項之來源..…………………………………………………………………………………….…57表4-9 驗證性因素分析—模型之適配度指標………………………………………………………59表4-10構面之標準化λ值與t值…………………………………………………………………….……60 表4-11 標準化φ值、標準誤與t值……………………………………………………………….……62表4-12 整體模型SEM評估結果……………………………………………………………….…………..63表4-13 標準化γ與t值………………………………………………………………………………………….64表4-14 標準化β與t值………………………………………………………………………………………….65表4-15 分群後之信度分析……………………………………………………………………………………66表4-16 性別分群後之SEM評估結果……………………………………………………………………67表4-17 性別干擾變數模型之χ2與自由度……………………………………….……………………68表4-18 性別干擾變數關係之結果比較………………………………………….…………………….68表4-19 收入分群後之SEM評估結果……………………………………………………………………69表4-20 收入干擾變數模型之χ2與自由度……………………………………………….……………69表4-21 收入干擾變數關係之結果比較………………………………………………….…………….70表4-22 本研究所有假設之檢定結果……………….…………………………………………………..71 | zh_TW |
| dc.format.extent | 1066567 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0097355051 | en_US |
| dc.subject (關鍵詞) | 科技接受模型 | zh_TW |
| dc.subject (關鍵詞) | 計畫行為理論 | zh_TW |
| dc.subject (關鍵詞) | 創新擴散 | zh_TW |
| dc.title (題名) | 結合TAM與TPB模型探討虛擬網站對醫療科技之推廣效果 | zh_TW |
| dc.type (資料類型) | thesis | en |
| dc.relation.reference (參考文獻) | 一、英文部分： | zh_TW |
| dc.relation.reference (參考文獻) | Ajzen, I. & Fishbein , M. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley, Reading, MA. | zh_TW |
| dc.relation.reference (參考文獻) | Ajzen, I. & Fishbein , M. (1980) Understanding attitudes and predicting social behavior, Prentice-Hall, Englewood Cliffs, NJ. | zh_TW |
| dc.relation.reference (參考文獻) | Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Springer, Verlag, New York. | zh_TW |
| dc.relation.reference (參考文獻) | Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. | zh_TW |
| dc.relation.reference (參考文獻) | Bandura, A. (1977). Self-efficacy toward a unifying theory 0f behavioral change. Psychological Review, 84(2), 91-125. | zh_TW |
| dc.relation.reference (參考文獻) | Bhatti, T. (2007). Exploring factors influencing the adoption of mobile commerce. Journal of Internet Banking and Commerce. 12(3), 128-141. | zh_TW |
| dc.relation.reference (參考文獻) | Bosnjak, M., Overmeier, D. & Tuten, T. L. (2006). Predicting and explaining the propensity to bid in online auctions: A comparison of two action-theoretical model. Journal of Consumer Behaviour, 5(4), 102-116. | zh_TW |
| dc.relation.reference (參考文獻) | Chen, J. V., Yen, D. C. & Chen, K. (2009). The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics. Information & Management, 46(4) 241-248. | zh_TW |
| dc.relation.reference (參考文獻) | Chen, L. D. & Tan, J. (2004). Technology adaptation in E-commerce: Key determinants of virtual stores acceptance. European Management Journal, 22(1), 74-86. | zh_TW |
| dc.relation.reference (參考文獻) | Chew, F., Grant, W. & Tote, R. (2004). Doctors on-line: Using diffusion of innovations theory to understanding internet use. Medical Informatics, 36(9), 645-650. | zh_TW |
| dc.relation.reference (參考文獻) | Ciganek, A. P., Mao, E. & Srite, M. (2008). Organizational culture for knowledge management systems: A study of corporate users. International Journal of Knowledge Management, 4(1), 1-16. | zh_TW |
| dc.relation.reference (參考文獻) | Ciou, J. S. Droge, C. & Hanvanich, S. (2002). Does customer knowledge affect how loyalty is formed? Journal of Service Research, 5(2), 113-124. | zh_TW |
| dc.relation.reference (參考文獻) | Cynthia, K. Riemenschneider, C. K., Harrison, D. A. & Mykytyn , P. P. (2003). Understanding it adoption decisions in small business: Integrating current theories. Information & Management, 40(4), 269-285. | zh_TW |
| dc.relation.reference (參考文獻) | Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technologies, MIS Quarterly, 13(3), 319-314. | zh_TW |
| dc.relation.reference (參考文獻) | Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions, and behavioral impacts. International Journal of Man Machine Studies, 38(3), 475-487. | zh_TW |
| dc.relation.reference (參考文獻) | Davis, F. D., Bagozzi, R. & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. | zh_TW |
| dc.relation.reference (參考文獻) | Fitch, J. L. & Ravlin, E. C. (2005). Willpower and perceived behavioral control: Influences on the intention-behavior relationship and post-behavior attributions. Social Behavior and Personality, 33(2), 105-124. | zh_TW |
| dc.relation.reference (參考文獻) | Gardner, R. E. & Hausenblas, H. A. (2005). Exercise and diet determinants of overweight women participating in an exercise and diet program: A prospective examination of the theory of planned behavior. Women & Health, 42(4), 37-46. | zh_TW |
| dc.relation.reference (參考文獻) | Gillenson, M. L., Chen, L. D. & Sherrell, D. L. (2002). Enticing online consumers: An extended technology acceptance perspective. Information & Management, 39(8), 705-719. | zh_TW |
| dc.relation.reference (參考文獻) | He, D., Lu,Y. & Zhou, D. (2008). Empirical study of consumers’ purchase intentions in C2C electronic commerce. Tsinghua Science and Technology, 13(3), 287-292. | zh_TW |
| dc.relation.reference (參考文獻) | Hewitt, B. (2009). Using hybrid technology acceptance model to explore how security measures affect the adoption of electronic health record systems. Americas Conference on Information Systems, 5th. | zh_TW |
| dc.relation.reference (參考文獻) | Hu, P.J., Chau, P.Y.K. , Sheng, L. O.R. & Tam, Y. K. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112. | zh_TW |
| dc.relation.reference (參考文獻) | Igbaria, M., Zinatelli, N., Cragg, P. & Cavaye, A. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-302. | zh_TW |
| dc.relation.reference (參考文獻) | Jackson, J. D., Yi, M. Y., Park, J. S. & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward and integrative view. Information & Management, 43(3), 350-363. | zh_TW |
| dc.relation.reference (參考文獻) | Jan, C. J. & Lee, M. C. (2009). Exploring consumers’ initial intention and continuance intention to use online auctions: An extension of the expectation-confirmation model. ICIM2009第二十屆國際資訊管理學術研討會. | zh_TW |
| dc.relation.reference (參考文獻) | Jones, L. W., Guill, B., Keir, S. T. & Carter, K. (2007). Using the theory of planned behavior to understand the determinants of exercise intention in patients diagnosed with primary brain cancer. Psycho-Oncology, 16(3), 232-245. | zh_TW |
| dc.relation.reference (參考文獻) | Jung, M. L. (2008). From health to E-health: Understanding citizens’ acceptance of online health care. Doctoral Thesis from Department of Business administration and Social Sciences Division of Industrial Marketing, E-commerce and Logistics. | zh_TW |
| dc.relation.reference (參考文獻) | Khalifa, M. & Shen, K. N. (2008). Explaining the adoption of transactional B2C mobile commerce. Journal of Enterprise Information Management, 21(2), 110-124. | zh_TW |
| dc.relation.reference (參考文獻) | Lee, M. C. (2008). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141 | zh_TW |
| dc.relation.reference (參考文獻) | Legris, P., Ingham, J. & Collerette, P. (2003). Why do people use information technology ? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204. | zh_TW |
| dc.relation.reference (參考文獻) | Lin, H. F. (2006). Understanding behavioral intention to participate in virtual communities. CyberPsychology & Behavior, 9(5), 15-24. | zh_TW |
| dc.relation.reference (參考文獻) | Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191. | zh_TW |
| dc.relation.reference (參考文獻) | Bosnjak, M., Obermeier, D. & Tuten, T. L. (2006). Predicting and explaining the propensity to bid in online auctions: A comparison of two action-theoretical model. Journal of Consumer Behaviour, 5(2), 102-116 | zh_TW |
| dc.relation.reference (參考文獻) | Moon, J., Park, J., Jung, G. H. & Choe, Y. C. (2010). The impact of IT use on migration intentions in rural communities. Technological Forecasting and Social Change. | zh_TW |
| dc.relation.reference (參考文獻) | Moore, G. C. & Benbasat (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. | zh_TW |
| dc.relation.reference (參考文獻) | Nijhof, N., Hoeven, C. L. & Jong, M. D. T. (2008). Determinants of use of a diabetes risk-screening test. Community Health, 33(8), 313-317. | zh_TW |
| dc.relation.reference (參考文獻) | Pavlou, P. A. & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption : An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143. | zh_TW |
| dc.relation.reference (參考文獻) | Pelling, E. L., Sc., B. B. & White, K. M. (2009). The theory of planned behavior applied to young people’s use of social networking web sites. CyberPsychology & Behavior, 12(6), 135-142. | zh_TW |
| dc.relation.reference (參考文獻) | Quaddus, M., Xu, J. & Hoque, Z. (2005). Factors of adoption on online auction : A china study. ICEC. | zh_TW |
| dc.relation.reference (參考文獻) | Robert, W. Fisher, S. (2004). Diffusion of innovation theory for clinical change. MJA, 180(2), 55-57. | zh_TW |
| dc.relation.reference (參考文獻) | Rogers, E. M. (1995). Diffusion of innovations. The Free Press, New York. | zh_TW |
| dc.relation.reference (參考文獻) | Schomerus, G., Matschinger, H. & Angermeyers , M. C. (2009). Attitudes that determine willingness to seek psychiatric help for depression: A representative population survey applying the theory of planned behaviour. Psychological Medicine, 39(11), 1855-1865. | zh_TW |
| dc.relation.reference (參考文獻) | Seiders, K., Voss, G. B., Grewal, D. & Godfrey, A. L. (2005). Do satisfied customers buy more? Examining moderating influences in a retailing context. Journal of Marketing, 69(4), 26-43 | zh_TW |
| dc.relation.reference (參考文獻) | Slyke, V., Ilie P., Lou & Stafford, J. (2007). Perceived critical mass and the adoption of a communication technology. European Journal of Information Systems, 16(3), 270-283. | zh_TW |
| dc.relation.reference (參考文獻) | Taylor, S. & Todd, P. (1992). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. | zh_TW |
| dc.relation.reference (參考文獻) | Taylor, S. & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570. | zh_TW |
| dc.relation.reference (參考文獻) | Tung, F. C. & Chang, S. C. (2008). Nursing students’ behavioral intention to use online courses: A questionnaire survey. International Journal of Nursing Studies, 45(18), 1299-1309. | zh_TW |
| dc.relation.reference (參考文獻) | Tung, F. C., Chang, S. C. & Chou, C. M. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International Journal of Medical Informatics, 77(5), 324-335. | zh_TW |
| dc.relation.reference (參考文獻) | Tung, Lee & Chen (2009). An extension of financial cost and TAM model with IDT for exploring users’ behavioral intentions to use the CRM information system. Society for Personality Research, 37(5), 621-626. | zh_TW |
| dc.relation.reference (參考文獻) | Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Sciences, 46(2), 186-204. | zh_TW |
| dc.relation.reference (參考文獻) | Venkatesh, V. & Morris, M. G. (2000). Why do not men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behaviors. MIS Quarterly, 24(1), 115-139. | zh_TW |
| dc.relation.reference (參考文獻) | Venkatesh, V. & Morris, M. G., Davis, G.B. & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. | zh_TW |
| dc.relation.reference (參考文獻) | Wu, I. L. &Wu, K. W. (2005). A hybrid technology acceptance approach for exploring E-CRM adoption in organizations. Behaviour & Information Technology, 24(4), 303-316. | zh_TW |
| dc.relation.reference (參考文獻) | Wu, J. H., Shen, W. S., Lin, L. M., Greenes, R. & Bates, D. W. (2008). Testing the technology acceptance model for evaluating healthcare professionals’ intention to use and adverse event reporting system. International Journal for Quality in Health Care, 20(2), 123-129. | zh_TW |
| dc.relation.reference (參考文獻) | Wu, J. H., Wang, S. C. & Lin, L. M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1) 66-77. | zh_TW |
| dc.relation.reference (參考文獻) | Yoo, E. Y., Robbins, L. S. (2007). Understanding middle-aged women’s health information seeking on the web: A theoretical approach. Journal of the American Society for Information Science and Technology, 59(4), 577-590. | zh_TW |
| dc.relation.reference (參考文獻) | Zhang, S., Zhao, J. & Tan, W. (2008). Extending TAM for online learning systems: An intrinsic motivation perspective. Tsinghua Science and Technology, 13(3), 312-317. | zh_TW |
| dc.relation.reference (參考文獻) | 二、中文部分： | zh_TW |
| dc.relation.reference (參考文獻) | 吳明隆 （2007）. SPSS操作與應用：問卷統計分析實務， 臺北；五南出版社 | zh_TW |
| dc.relation.reference (參考文獻) | 邱皓政 （2006）. 結構方程模式，臺北：雙葉書廊有限公司. | zh_TW |
