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1Dissertation/ Thesis
المؤلفون: 洪采蓮, HONG, CAI-LIAN
المساهمون: 行銷與流通管理系, 李冠穎, LEE, KUAN-YIN
مصطلحات موضوعية: AI技術, 社群聲量, 好感度, 期望確認模型, 人工智慧焦慮, AI technology, social media conversation volume, favorability, Expectation-Confirmation Model, AI anxiety
وصف الملف: 1121314 bytes; application/pdf
Relation: 112CYUT0691009; http://ir.lib.cyut.edu.tw:8080/handle/310901800/43809
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2Dissertation/ Thesis
المؤلفون: 晏靜雯
المساهمون: 行銷碩士學位學程碩士班
مصطلحات موضوعية: 行動商務, 商家App, 創新擴散理論, 期望確認模型, 遊戲化, 黏著度, 持續使用意圖, Mobile commerce, Merchant App, Innovation Diffusion Theory, Expectation-Confirmation Model, Gamification、Stickiness, Continuance Intention, eco, manag
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3Dissertation/ Thesis
المؤلفون: 晏靜雯
المساهمون: 行銷碩士學位學程碩士班
مصطلحات موضوعية: 行動商務, 商家App, 創新擴散理論, 期望確認模型, 遊戲化, 黏著度, 持續使用意圖, Mobile commerce, Merchant App, Innovation Diffusion Theory, Expectation-Confirmation Model, Gamification、Stickiness, Continuance Intention
وصف الملف: 99 bytes; text/html
Relation: http://ir.lib.pccu.edu.tw//handle/987654321/51223; http://ir.lib.pccu.edu.tw/bitstream/987654321/51223/2/index.html
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4Dissertation/ Thesis
المؤلفون: 蔡季晨
المساهمون: 企業實務管理數位碩士在職專班
مصطلحات موضوعية: 資產管理產業, 人工智慧, 任務科技適配理論, 知識管理系統, 期望確認模型理論, asset management industry, artificial intelligence, task-technology fit theory, knowledge management system, expectation confirmation model theory
وصف الملف: 99 bytes; text/html
Relation: http://ir.lib.pccu.edu.tw//handle/987654321/44926; http://ir.lib.pccu.edu.tw/bitstream/987654321/44926/2/index.html
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5Dissertation/ Thesis
المؤلفون: 李嘉豪, LI, JIA-HAO
المساهمون: 吳國強, WU, GUO-CIANG, 行銷與流通管理學系碩士班
مصطلحات موضوعية: 滿意度, 持續使用意圖, 期望確認模型, Facebook, 確認, satisfaction, continuance intention, Expectaion Confirmation Model, confirmation
وصف الملف: 1571112 bytes; application/pdf
Relation: http://140.127.82.166/handle/987654321/19519; http://140.127.82.166/bitstream/987654321/19519/1/106NPTU0691004-001.pdf
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6
المؤلفون: 林子鈜
مصطلحات موضوعية: 臉書, 自我揭露, 打卡服務, 期望確認模型, 隱私, 持續使用意圖, Facebook, Self-Disclosure, Check-in services, Expectation Confirmation Model, Privacy Concern, Intention to continuously use
Relation: http://ir.lib.ntust.edu.tw/handle/987654321/52383; http://ir.lib.ntust.edu.tw/bitstream/987654321/52383/-1/index.html
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7
المؤلفون: 何彩鈴, Ho, Tsai-Ling
المساهمون: 淡江大學企業管理學系碩士在職專班, 吳坤山, Wu, Kun-Shan
مصطلحات موضوعية: 期望確認模型, 科技接受模型, 使用成本, E-book, Expectation Confirmation Model, Technology Acceptance Model, Usage cost
Relation: 中文文獻 1.王東澤(2006)。電子書市場認知與消費傾向之探討。國立成功大學 高階管理碩士在職專班碩士論文。 2.王麗娜、周偉斌(2009)。专业电子书的消费者行为研究—化学工业出版社电子书读者调查问卷分析。科技與出版,第4期,48-50。 3.方富杉(2011)。電子書綜合研究報告。資策會產業情報研究所 (MIC)。 4.古亞薇(2011)。從Digital Book 2011及美國書展看電子書產業發展趨勢。資策會產業情報研究所(MIC)。 5.吳志強(2002)。數位內容差別取價對購買意願影響之研究-以文獻資料庫為例。台北科技大學商業自動化與管理研究所碩士論文。 6.李冠緯(2011)。Wii Fit 持續使用意願之探討:期望確認理論之應用。朝陽科技大學休閒事業管理系碩士論文。 7.林珮羚(2008)。影響行動音樂全曲下載使用意願之研究。銘傳大學傳播管理研究所在職專班碩士學位論文。 8.邱炯友(2000)。電子出版的歷史與未來。佛教圖書館館訊,第二十三期。 9.洪文瓊(1993)。迎接出版新紀元-電子出版品的革命性意義。出版流通,第23期,7-8。 10.徐靖琇 (2010)。關係慣性之前置因素與結果。東海大學國際貿易研究所碩 士論文。 11.陳怡君(2008)。以態度中介IS滿意度與持續使用之研究。 中央大學企業管理 研究所碩士論文。 12.陳國維(2009)。師徒效應對於ERP系統滿意度與持續使用意願影響之研究。 國立中央大學企業管理研究所碩士論文。 13.黃文楷(2007)。探討BLOG使用者持續採用行為之研究-以期望確認理論為 基礎。國立高雄第一科技大學資訊管理研究所碩士學位論文。 14.黃穗斌(2006)。線上音樂購買意願與定價策略之研究。銘傳大學傳播管理研 究所碩士學位論文。 15.劉宗偉、吳立偉、黃吉村(2007)。關係慣性與轉換障礙對「滿意度-顧客留 存」關係之影響-以金融服務業為例。管理學報,第二十四卷第六期, 671-687。 16.蔡明春、吳羿蓁 (2009)。宅配業顧客關係慣性與忠誠度之關係模式。中華 管理學報,第十卷第一期,1-18。 17.蕭至惠、張琡婍、蔡進發(2009)。影響消費者對電子書接受意願因素之研究。 電子商務研究,秋季第七卷,第三期,355-384。 18.蕭文龍、郭庭伊(2010)。部落客持續使用部落格之研究:以整合期望確認、 科技接受模式和個人因素觀點探討。銘傳大學資訊管理研究所碩士學位論 文。 19.楊梅(2009)。運用科技接受模型分析手機電子書閱讀行為。河南图书馆学刊, 第29卷第四期。 英文文獻 1.Anderson, E. W. and Sullivan, M. W.( 1993) .The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12 (2), 125-143. 2.Anderson, E. W., Fornell, C. and Lehmann, R. R.(1994). Customer satisfaction, market share, and profitability: Findings from Sweden. Journal of Marketing, 58 (3), 53-66. 3.Anderson, R. E. and S. S. Srinivasan (2003). E-satisfaction and E-loyalty: Contingency framework. Psychology and Marketing, 20 (2), 123-138. 4.Anderson, J.C. and D. W. Gerbing (1988). Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, 13(3), 411-423. 5.Assael , H. (1998). Consumer behavior and marketing action. Cincinnati, OH: Southwestern College Publishing. 6.Bansal Gaurav (2010). Continuing E-book use: Role of environmental consciousness, personality and past usage. University of Wisconsin. 7.Bagozzi, R. P. and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. 8.Barclay, D. Higgins, C. A. and Thompson, R.L. (1995). The partial least squares (PLS) approach to causal modeling: personal computer adoption and use as an illustration. Technology Studies, 2(2), 285-309. 9.Bassellier Genevieve and Benbasat Izak (2004). Business competence of information technology professionals: conceptual development and influence on it-business partnerships. Journal MIS Quarterly, 28 (4), 321-321. 10.Beatty, S. E. and Smith, S. M. (1987). External search effort: an investigation across several product categories. Journal of Consumer Research, 14(1), 83-95. 11.Bearden William O. and Teel Jesse E. (1983). Selected determinants of consumer satisfaction and complaint reports. Journal of Marketing Research, 20, 21-28. 12.Bhattacherjee, A. (2001a). Understanding information systems continuance: An Expectation-Confirmation Model. MIS Quarterly, 25 (3), 321-321. 13.Bhattacherjee, A. (2001b). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32 (2), 201-214. 14.Bhattacherjee. A. and Premkumar,G. (2008). Explaining information technology usage: A test of competing models. Omega, 36 (1), 64-75. 15.Blackwell, R. D., Miniard, P. W. and Engel, J. F. ( 2001). Customer Behavior. New York: Dryden. 16.BISG (2009). Consumer attitudes toward ebook reading. A USA census-based survey. New York: Book Industry Study Group. 17.Cardozo, R. N. (1965). An Experimental Study of Consumer Effort, Expectation and Satisfaction. Journal of Marketing Research, 2, 44-49. 18.Carlsson, F. and A. Lofgren (2006). Airline Choice, Switching Costs and Frequent Flyer Programmers. Applied Economics, 38, 1469-1475. 19.Cheung, M. K. and Limayem, M. (2005). Drivers of University student’s continued Use of Advanced Internet-Based Learning Technologies. Bled e-Conference, Slovenia, 6, 6-8. 20.Chin, W.W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7-16. 21.Chin, W. W. and Newsted, P. R. (1999). Structural Equation Modeling analysis with Small Samples Using Partial Least Squares. In Rick Hoyle (Ed.), Statistical Strategies for Small Sample Research, Sage Publications, pp. 307-341. 22.Cheung, C. M. K. and Lee, M. K. O. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49(1), 24-30. 23.Chen, L. D., Gillenson, M. L. and Sherrell, D. L. (2002). Enticing Online Consumers: An Extended Technology Acceptance Perspective. Information & Management, 39(8), 705-719. 24.Chou S and Chen P (2009). The influence of individual differences on continuance intentions of enterprise resource planning. International Journal of Human–Computer Studies. 67(6), 484–96. 25.Churchill, G. and Surprenant, C.(1982). An Investigation into the Determinants of Consumer Satisfaction. Journal of Marketing Research, 19, (4), 491-504. 26.Compeau and Higgins (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19, 189. 27.Cyert, R.M. and March, J.G. (1963). A behavioral theory of the firm. Englewood Cliffs. 348 N.J.: Prentice-Hall. 28.Davis, F. D., Bagozzi, R. P. and Warshaw P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 25, 982-1003. 29.Dewi Tojib and Yelena Tsarenko (2011). Post-adoption modeling of advanced mobile service use. Journal of Business Research, 10, 1-7. 30.Gefen, D. Straub, D.W. and Boudreau, M.C. (2000). Structural equation modeling and regression: Guidelines for research practices. Communication of the Association for Information Systems, 7(4), 1-79. 31.Gefen, D. and Straub D. W. (2005). A practical guide to factorial validity using PlS-graph: tutorial and annotated example, Communications of the Association for Information Systems, 16(5), 91-109. 32.Fornell, C. and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-50. 33.Fornell, C. (1982). Two Structural Equation Models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19 (4), 440-452. 34.Fornell, C. and Cha, J. (1994). Partial least squares. In R. P. Bagozzi (Ed.) , Advanced Methods of Marketing Research (pp. 52-78), Oxford: Blackwell. 35.Fu J.R. (2006). Visual PLS—Partial Least Square (PLS) regression—An enhanced GUI for LVPLS (PLS 1.8PC) Version 1.04. National Kaohsiung University of Applied Sciences, Taiwan, ROC. 36.Hackbarth G, Grover V, and Yi MY (2003). Computer playfulness and anxiety. Information & Management, 40(3), 221–32. 37.Hagel, J. III., and Armstrong, A. G. (1997).The real value of online communities. Harvard Business Review, 23, 134-141. 38.Hair, J. F., Anderson, R. E., Tatham, R. L. and Black, W. C. (1998). Multivariate Date Analysis International Edition (5th ed), N. J.: Prentice-Hall. 39.Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. (2010). Multivariate Data Analysis. Upper Saddle River, NJ: Prentice-Hall. 40.Hawkins D. T. (2000). A Major Publishing Revolution - Part 1.Online, 24, 14-28. 41.Hayashi A., Chen C., Ryan T., and Wu J. (2004).The role of social presence and moderating role of computer self efficacy in predicting the continuance usage of e-learning systems. Journal of Information Systems Education, 15(2), 139–54. 42.Hulland J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195-204. 43.Kang Y., Wang M., and Lin R. (2009). Usability evaluation of e-books. Displays 30: 49–52. 44.Kim H., Chan H., and Chan Y. (2007). A balanced thinking–feelings model of information systems continuance. International Journal of Human–Computer Studies, 65(6), 511–25. 45.Kuo, Y.F., Wu, C.M., and Deng, W.J.(2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behaviour, 25 (4), 887–896. 46.Legris P, Ingham J, and Collerette P (2003). Why do people use it? Information and Management , 40(3), 191–204. 47.Liang Ting-Peng and Yeh Yi-Hsuan (2011). Effect of use contexts on the continuous use of mobile services:The case of mobile games. Pers Ubiquit Compu, 15, 187–196. 48.Limayem, Hirt and Cheung (2007). How habit limits the predictive power of intentuion: the case of information systems continuance. Journal MIS Quarterly, 31(4). 49.Lin C.S., Wu S., and Tsai R.J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683–93. 50.Locke, E. A. (1976). The nature and causes of job satisfaction. In M. D.Dunnette (Ed.), in Handbook of Industrial and Organizational Psychology, 1297-1349. 51.Lu, Y., Deng, Z., and Wang, B. (2010). Exploring factors affecting Chinese consumers’ usage of short message service for personal communication. Information Systems Journal, 20 (2), 183-208. 52.Marios Koufaris (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Zicklin School of Business, Baruch College, New York . 53.McKinney, V., Yoon, K. and Zahedi F.(2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13 (3), 296-315. 54.Medina, M. Q. and Chaparro, J. P. (2007/2008). The impact of the human element in the information systems quality for decision making and user satisfaction. The Journal of Computer Information Systems, 48(2), 44-53. 55.Moez Limayem and Christy M.K. Cheung (2008).Understanding information systems continuance: The case of Internet-based learning technologies. Information & Management, 45(4), 227-232. 56.Mondi M, Woods P, and Rafi A (2008). A uses and gratification expectancy model to pre¬dict students’ perceived e-learning experience. Educational Technology & Society, 11(2), 241–61. 57.Moon, J. W. and Kim, Y. G. (2001). Extending the TAM for the world wide web context. Information & Management, 38(4), 217-230. 58.Nunnally J.C. (1978). Psychometric Theory. New York: Mcgraw-Hill. 59.Oliver R. L. (1977). Effect of expectation and disconfirmation on post exposure product evaluations - an Alternative Interpretation. Journal of Applied Psychology, 62(4), 480. 60.Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research , 17(4), 460-469 61.Oliver, R. L. (1981). Measurement and evaluation of satisfaction process in retail settings. Journal of Retailing, 57(3), 25-48. 62.Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20(12). 63.Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63, 33-44. 64.Oliver, R. L. and Bearden, W. O. (1985). Disconfirmation processes and consumer evaluations in product usage. Journal of Business Research, 13(3), 235-246. 65.Oliver, R. L., and DeSarbo, W. S. (1988). Response determinants in satisfaction Judgment. Journal of Consumer Research, 14(4), 495-507. 66.Ouellette, J. A. and Wood, W. (1998). Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior. Psychological Bulletin, 124(1), 54-74. 67.Pavlou, P. A., and Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143. 68.Ping, R. A. (1994). Does satisfaction moderate the association between alternative attractiveness and exit intention in a marketing channel? Journal of the Academy of Marketing Science, 22(4), 364-371. 69.Westbrook, R. A. (1987). Product/consumption-based affective responses and post-purchase processes. Journal of Marketing Research, 24 (3), 258. 70.Ranaweera, C. and Neely A. (2003). Some moderating effects on the service quality-customer retention link. International Journal of Operations and Production Management, 23(2), 230-248. 71.Rai A., Lang S.S., and Welker R.B. (2002). Assessing the validity of IS success models. Information Systems Research, 13(1), 50–69. 72.Roca JC, Chiu C, and Martinez FJ (2006). Understanding e-learning continuance intention. International Journal of Human Computer Studies, 64(8), 683–96. 73.Sang, S., Lee, J. D. and Lee, J. (2010). E-government adoption in cambodia: A partial least squares approach. Transforming Government: People, Process, and Policy, 4(2), 138-157. 74.Shaver, M. A. (1995). Application of pricing theory in studies of pricing behavior and rate strategy in the newspaper industry. Journal of Media Economics, 8, 49-60. 75.Shaiu Wen-Lung, Huang Li-Chun and Shih Chia-Hui (2011). Understanding continuance intention of blog users: A perspective of flow and expectation confirmation theory. Journal of Convergence Information Technology, 6(4), 306-317. 76.Shin Dong-He (2010). Understanding e-book users: Uses and gratification expectancy model. Sung kyun kwan University, South Korea. 77.Shih BY, Chen CY, Chou WC (2011). Obstacle avoidance using a path correction method for autonomous control of a biped intelligent robot. J. Vibration and Control, DOI:10.1177/1077546310372004. 78.Spreng R. A, S.B. Mac Kenzie and R.W. Olshavsky (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing, 60(3), 15. 79.Sonmez, S. F., and Graefe A. R. (1998). Determining future travel behavior from past travel experience and perceptions of risk and safety. Journal of Travel Research, 37(4), 171-177. 80.Szajna, B. and Scamell, R. W.(1993). The effects of Information system user expectations on their performance and perceptions. MIS Quarterly, 7(4), 493-516. 81.Taylor and Francis (2011). An empirical examination of users'' post-adoption behaviour of mobile services. Behaviour & Information Technology Tamkang University. 82.Thatcher Jason Bennett and Perrewe Pamela L.(2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26, 381-396. 83.Tse, D. K., and Wilton P. C. (1988). Models of consumer satisfaction formation: An extension. Marketing Research, 25(2), 204-212. 84.Van der Heijden, H.(2003). Factors influencing the usage of websites: The case of a generic portal in the Netherlands. Information & Management, 40(6), 541-549. 85.Vicki McKinney, Kanghyun Yoon and Zahedi (2001). Web-customer satisfaction: An expectation and disconfirmation approach. Information System Research, 13 (3), 296-315. 86.Westbrook Robert A. and Oliver Richard L. (1991). The dimensionality of consumption emotion patterns and consumer satisfaction. Journal of Consumer Research, 18(1), 84. 87.William O. and Jesse E. Teel (1983). Selected determinants of consumer satisfaction and complaint reports. Journal of Marketing, 20(1), 21-18. 88.Wu, J.H. and Wang, S.C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42 (5), 719–729. 89.Young Mee Shin, Seung Chang Lee, Bongsik Shin and Ho Geun Lee (2010). Examining influencing factors of post-adoption usage of mobile internet: focus on the user perception of supplier-side attributes. Information Systems Frontier, 12 (5), 595-606. 90.Zeithamel Valarie A., Berry Leonard L. and Parasuraman A.(1996). The behavioral consequences of service quality. Journal of Marketing, 60, 31-46. 91.Zhou Tao (2011). An empirical examination of users'' post-adoption behavior of mobile services. Behaviour & Information Technology, 30(2), 241-250.; U0002-2806201209264100; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/87595; http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/87595/-1/index.html
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المؤلفون: 游英雪, Yu, Ying-Hsueh
المساهمون: 淡江大學企業管理學系碩士在職專班, 吳坤山, 羅惠瓊, Wu, Kun-Shan, Lo, Hui-Chiung
مصطلحات موضوعية: 個人創新特質, 期望確認模型, 持續使用意願, 最小平方估計法, APPS, Personal Innovativeness, Expectancy Confirmation Model, Continuance Intention, Partial Least Square
Relation: 一、中文文獻: 1. 丁鴻裕(2011)。抓住消費者的遊戲喜好-Angry birds成功要素分析。資策會產業情報研究所(MIC)。 2. 池文海等(2010)。探討瀏覽影音部落格沈浸經驗的前因與後果。電子商務研究,第八卷第二期,183-208。 3. 余鑑等(2011)。數位學習知覺與使用意圖間影響之研究。電子商務研究,第九卷第三期,323-352。 4. 李敏正(2003)。延伸計劃行為理論以預測WWW持續使用之研究。高雄第一科技大學資訊管理學系碩士論文。 5. 李煉祥(2011)。智慧型手機軟體商店之商業模式分析。國立中央大學資訊管理系碩士學位論文。 6. 林柏齊(2011)。全球行動電話市場預測, 2011~2015。資策會產業情報研究所(MIC)。 7. 哈燒王(2011)。Gartner預測2012行動APP十大趨勢。http://www.hot3c.com/read.asp?class=1&id=16946。 8. 姜阳(2009)。电信移动增值业务客户使用行为研究。北京邮电大学博士研究生学位论文。 9. 相元翰(2011)。雲端應用Apps商業模式分析。資策會產業情報研究所(MIC)。 10. 許麗玲等(2010)。探討Blog使用者持續採用行為之研究—以期望確認理論為基礎。資訊管理學報,第十五卷第四期,1-23。 11. 郭家蓉與魏傳虔(2011)。由雲端服務看Apple、Google、Amazon、Microsoft經營模式之轉變。資策會產業情報研究所(MIC)。 12. 郭莹莹(2010)。移动互联网业务持续使用影响因素研究。北京邮电大学硕士学位论文。 13. 黃文楷(2007)。探討Blog使用者持續採用行為之研究-以期望確認理論為基礎。國立高雄第一科技大學資訊管理系碩士學位論文。 14. 劉倫彤(2011)。攝影新興App服務-Camera+。資策會產業情報研究所(MIC)。 15. 數位時代(2011)。網路已死?消費者使用行動app時間首度超越上網時間。http://www.bnext.com.tw/focus/view/cid/103/id/18959。 16. 蔡秀媛(2006)。行動通訊加值服務使用者滿意度、購買意向與品牌忠誠行為關係之研究-整合科技接受模型與計畫行為理論。東吳大學國際貿易學系碩士學位論文。 17. 鄧偉志(2008)。以任務/科技配適構面擴充期望確認理論-以ERP系統為例。國立中央大學企業管理研究所碩士學位論文。 18. 鐘國晉與蔡玉青(2011)。全球行動電話用戶數預測, 2011~2015。資策會產業情報研究所(MIC)。 二、英文文獻 1. Adams, D.A., Nelson, R.R. and Todd, P.A. (1992). Perceived Usefulness, Ease of Use and Usage of Information. MIS Quarterly, 16(2), 227-250. 2. Adapa, S. (2011). Continued and Frequent Use of Internet Banking by Australian Consumers: Identification of the Factor Components. Journal of Internet Banking and Commerce, 16(2), 1-22. 3. Agarwal, R. and Karahanna, E. (2000). Times files when you''re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, 665-694. 4. Agarwal, R. and Prasad, J. (2006). Theory of planning behavior(TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822. 5. Anderson, E.W. and Sullivan, M.W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12 (2), 125-143. 6. Anderson, J. C. and Gerbing, D. W. (1988). Structural equations modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423. 7. Bagozzi, R. P. and Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16, 75-94. 8. Barclay, D., Higgins, C. and Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285–309. 9. Bearden, W.O. and Teel, J.E. (1983). Selected Determinants of Consumer Satisfaction and Complaint Reports. Journal of Marketing Research, 20 (February), 21-28. 10. Bellman, S., Potter, R. F., Shiree, T.-H., Robinson, J. A. and Varan, D. (2011). The Effectiveness of Branded Mobile Phone Apps. Journal of Interactive Marketing, 1-10. 11. Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32 (2), 201–214. 12. Bhattacherjee, A. (2001b). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25 (3), 351-370. 13. Bhattacherjee, A. and Barfar, A. (2011). Information Technology Continuance Research: Current State and Future Directions. Asia Pacific Journal of Information Systems, 21(2), 14-17. 14. Bhattacherjee, A. and Premkumar, G. (2004). Understanding Changes in Belief and Attitude toward Inoformation Technology Usage: The Theoretical Model and Longitudinal Test. MIS Quarterly, 28(2), 229-254. 15. Borchert, J., Goos, P. and Hagenhoff, S. (2004). Innovations-und Technologie management: Eine Bestandsaufnahme[Innovation and technology management: an overview]. in Schumann, M. (Ed.). Arbeitsbericht 4/2003, Institut fur Wirtschafts informatik [Institute of Economic computer science], Georg-August-Universitat, Gotingen. 16. Bougie, R., Pieters, R., and Zeelenberg, M. (2003). Angry customers don’t come back, they get back: the experience and behavioral implications of anger and dissatisfaction in services. Journal of the Academy of Marketing Science, 31(4), 377-393. 17. Burton-Jones, A. and Hubona, G.S. (2005). Individual Differences and Usage Behaviour: Revisiting a Technology Acceptance Model Assumption. The DATA BASE for Advances in Information Systems, 36(2), 58-77. 18. Cardozo, R.N. (1965). An Experimental Study of Consumer Effort, Expectation and Satisfaction. Journal of Marketing Research, 2 (August), 244-249. 19. Chang, S.E., Hsieh, Y.J., Chen, C.W., Liao, C.K. and Wang, S.T. (2006). Location-Based Services for Tourism Industry: an Empirical Study. Lecture Notes in Computer Science, 4159, 1144-1153. 20. Chea, S. and Luo, M.M. (2006). E-Service Customer Retention-the Roles of Negative Affectivity and Perceived Switching Costs. Journal of Information Science and Technology, 3(2), 6-22. 21. Chen, Y.-Y., Huang, H.-L., Hsu, Y.-C., Tseng, H.-C. and Lee, Y.-C. (2010). Confirmation of Expectations and Satisfaction with the Internet Shopping: The Role of Internet Self-efficacy. Computer and Information Science, 3(3), 14-22. 22. Cheng, L.-C. and Sun, L.-M. (2011). Exploring consumer adoption of new services by analyzing the behavior of 3G subscribers: An empirical case study. Electronic Commerce Research and Applications, 1-12. 23. Chin, W. (1998). Issues and Opinion on Structural Equation Modeling. MIS Quarterly, 22(1), 7–16. 24. Chiu, C. M., Hsu, M.H., Sun, S.Y., Lin, T.C. and Sun, P.C. (2005). Usability, quality, value and e-learning continuance decisions. Computers and Education, 45(4), 399–416. 25. Churchill, G.A. Jr and Surprenant, C. (1982). An Investigation into the Determinants of Customer Satisfaction. Journal of Marketing Research, 19 (November), 491-504. 26. Compeau, D., Higgins, C. and Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2), 145-158. 27. Dabholkar, P.A., Shepherd, C.D. and Thorpe, D.I. (2000). A Comprehensive Framework for Service Quality: An Investigation of Critical Conceptual and Measurement Issues through a Longitudinal Study. Journal of Retailing, 76(2), 139-173. 28. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-340. 29. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35 (8), 982-1003. 30. Fornell, C. and Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. 31. Fornell, C., Johnson, M.D., Anderson, E.W., Cha, J. and Bryant, B.E. (1996). The American customer satisfaction index: nature, purpose and findings. Journal of Marketing, 60 (October), 7-18. 32. Fu, Jen-Ruei (2006). VISUAL PLS 1.04b1. http://www2.kuas.edu.tw/prof/fred/vpls/index.html. 33. Gefen, D. and Straub, D. (2005). A Practical Guide to Factorial Validity Using PLS-Graph: Tutorial and Annotated Example. Communications of the Association for Information Systems, 16, 91-109. 34. Gefen, D., Straub, D., and Boudreau, M. (2000). Structural Equation Model Techniques and Regression: Guidelines for Research Practice. Communication of AIS, 7(7), 1-78. 35. Goldsmith, D.J. (2001). A normative approach to the study of uncertainity and communication. Journal of Communication, 51, 514-533. 36. Ha, I., Yoon, Y., Choi, M. (2007). Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management 44, 276-286. 37. Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998). Multivariate Data Analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall. 38. Herr, P., Kardes, F., and Kim, J. (1991). Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective. Journal of Consumer Research, 17 (March), 454-462. 39. Hirunyawipada, T. and Paswan, A.K. (2006). Consumer Innovativeness and Perceived Risk: Implications for High Technology Product Adoption. Journal of Consumer Marketing, 23, 182-198. 40. Ho, S.Y. and Bull, S. (2011). Users’ Trust and Intention to Adopt Personalized Mobile Services. Journal of Next Generation Information Technology, 2(1), 97-104. 41. Hong, S.-J., Thong, J.Y.L., and Tam, K.Y. (2006). Understanding continued information technology usage behavior: A comparision of three models in the context of mobile Internet, Decision Support Systems, 42(3), 1819-1834. 42. Hong, W., Thong, J.Y.L., Wong, W.-M. and Tam, K.-Y. (1992). Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics. Journal of Management Information Systems, 18(3), 97-124. 43. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyer Behavior. New York: Wiley. 44. Huang, L.-Y., Hsieh, Y.-J. and Chang, S.E.(2011). The Effect of Consumer Innovativeness on Adoption of Location-Based Services. Global Management and Service Science, 1, 17-30. 45. Hulland, J. (1999). Use of Partial Least Squares (PLS) in Strategic Management Research: A Review of Four Recent Studies. Strategic Management Journal, 20(2), 195-204. 46. Hung, S.Y., Ku, C.Y. and Chang, C.M. (2003). Critical factors of WAP services adoption: An empirical study. Electronic Commerce Research and Applications, 2(1), 42-60. 47. Hwang, I-H., Yu, C.-C., Tsai, S.-J. and Lin, C.-H. (2011). An Empirical Study on the Factors Affecting Continuous Usage Intention of Double Reinforcement Interactive E-Portfolio Learning System. Information Technology and Artificial Intelligence Conference (ITAIC), 246-249. 48. Igbaria, M., Zinatelli, P., Cragg, N. and Cavaye, L. M. (1997). Personal computing acceptance factors in small firms: a structure equation model. MIS Quarterly, 21(2), 279-305. 49. Im, S., Bayus, B.L. and Mason, C.H. (2003). An Empirical Study of Innate Consumer Innovativeness, Personal Characteristics and New-Product Adoption Behavior. Journal of the Academy of Marketing Science, 31, 61-73. 50. Jung, Y. (2011). Understanding the Role of Sense of Presence and Perceived Autonomy in Users'' Continued Use of Social Virtual Worlds. Journal of Computer-Mediated Communication, 16(4), 492-510. 51. Kang, C.-R., Hung, M.-C., Yang, S.-T., Hsieh, T.-C. and Tang, S.-M. (2010). Factors Affecting the Continued Intention of Mobile Shopping. Proceedings of the 2010 IEEE IEEM, 710-713. 52. Kettinger, W.J., Park, S.H.S. and Smith, J. (2009). Understanding the Consequences of Information Systems Service Quality on IS Service Reuse. Information and Management, 46(6), 335-341. 53. Kim, S.S. and Son, J.-Y. (2009). Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Quarterly, 33 (1), 49-70. 54. Kuo, Y.-F. and Yen, S.-N. (2009). Towards an understanding of the behavioral intention to use 3G mobile valueadded services. Computers in Human Behaviour, 25 (1), 103-110. 55. Liao, C., Chen, J.L., Yen, D.C. (2006). Theory of planning behavior(TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822. 56. Limayem, M. and Cheung, C.M.K. (2008). Understanding Information Systems Continuance: The Case of Internet-Based Learning Technologies. Information and Management, 45(4), 227-332. 57. Lin, C.S., Wu, S. and Tsai, R.J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information and Management, 42, 683-693. 58. Liu, W.-L., Huang, K.-P. and Wang, C.-H. (2011). Age cohort analysis in continued usage intention of mobile value-added services: Generation Y and Baby boomers. African Journal of Business Management, 5(14), 5863-5870. 59. Locke, E.A. (1976). The nature and causes of job satisfaction. In M. D. Dunnette(Ed.). Handbook of industrial and organizational psychology. Chicage: Rand McNally. 60. Macharia, J. and Nyakwende, E. (2010). The influence of E-mail on Students'' Learning in Hingher Education: An Extension to the Technology Acceptance Model(TAM). Asian Journal of Information Technology, 9(3), 123-132. 61. Mathieson, K. (1999). Predicting user intentions: comparing the technolgy acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191. 62. Mayer, P., Volland, D., Thiesse, F. and Fleisch, E. (2011). User Acceptance of ''Smart Products: An Empirical Investigation. Wirtschaftinformatik Proceedings, 1063-1072. 63. McKinney, V., Yoon, K., Zahedi, F. (2002). The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach. Inform. Syst. Res., 13(3), 296-315. 64. Midgley, D.F. and Dowling, G.R. (1978). Innovativeness: The Concept and Its Measurement. Journal of Consumer Research, 4 (March), 229-242. 65. Moon, J.W., and Kim, Y.G (2001). Extending the TAM for a world-wide-web context. Information & Management, 38(4), 217-230. 66. Muller, R.M., Kijl, B. and Martens, J.K.J. (2011). A Comparison of Inter-Organizational Business Models of Mobile App Stores: There is more than Open vs. Closed. Journal of Theoretical and Applied Electronic Commerce Research, 6(2), 63-76. 67. Niklas, S.J.B. and Strohmeier, S. (2011). Exploring the Impact of Usefulness and Enjoyment on Mobile Service Acceptance: A Comparative Study. Proceedings of 44th Hawaii International Conference on System Sciences, 1-10. 68. Nunnally, J. C. (1978). Psychometric Theory. New York, NY: McGraw-Hill. 69. Oliver, R.L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17 (4), 460-469. 70. Oliver, R.L. (1981). Measurement and Evaluation of Satisfaction Processes in Retail Settings. Journal of Retailing, 57 (Fall), 25-47. 71. Oliver, R.L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. The Journal of Consumer Research, 20 (3), 418-430. 72. Park, B.-W. and Lee, K.C. (2011). The Effect of Users’ Characteristics and Experiential Factors on the Compulsive Usage of the Smartphone. T.-h. Kim et al. (Eds.): UCMA 2011, Part II, CCIS 151, 438-446. 73. Park, J., Snell, W., Ha, S. and Chung, T.-L. (2011). Consumers'' Post-adoption of M-Services: Interest in Future M-Services Based on Consumer Evaluations of Current M-Services. Journal of Electronic Commerce Research, 12(3), 165-175. 74. Patterson, P., Johnston, W. and Spreng, R. (1997). Modeling the determinants of customer satisfaction for business-tobusiness professional services. Journal of the Academy of Marketing Science, 25(1), 4-28. 75. Pavlou, P. A. and Fygenson, M. (2006). Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior. MIS Quarterly, 30(1), 115-143. 76. Pirouz, D. M. (2006). An Overview of Partial Least Squares. Available (23.3.2008): http://www.merage.uci.edu/-dpirouz04/ 77. Racherla, P., Babb, J.S. and Keith, M.J. (2011). Pay-What-You-Want Pricing for Mobile Applications: The Effect of Privacy Assurances and Social Information. Conference for Information Systems Applied Research 2011 CONISAR Proceedings Wilmington North Carolina, USA v4 n1833, 1-13. 78. Roca, J.C., Chiu, C.M. and Martinez, F.J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model International Journal of human-computer studies, 64(8), 683-696. 79. Rogers, E.M. (1995). Diffusion of Innovations. 3rd edition. New York/London. 80. Saaksjarv, M. (2003). Consumer adoption of technological innovations. European Journal of Innovation Management, 6(2), 90-100. 81. Sawng, Y.-W., Kim, S.-H., Lee, J. and Oh, Y.S. (2011). Mobile Service Usage Behavior in Korea- An Empirical Study on Consumer Acceptance of Innovative Technologies. Technological and Economic Development of Economy, 17(1), 151-173. 82. Shiau, W.-L., Huang, L.-C. and Shih, C.-H. (2011). Understanding Continuance Intention of Blog Users- A Perspective of Flow and Expectation Confirmation Theory. Journal of Convergence Information Technology, 6(4), 306-317. 83. Shin, Y.M., Lee, S.C., Shin, B. and Lee, H.G. (2010). Examining influencing factors of post-adoption usage of mobile internet: focus on the user perception of supplier-side attributes. Information Systems Frontier, 12 (5), 595-606. 84. Spreng, R.A., Mackenzie, S.B. and Olshavsky, B.W. (1996). A Re-examination of the Determinants of Consumer Satisfaction. Journal of Marketing, 60(3), 15-22. 85. Suki, N.M. and Suki, N.H. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, 12, 1-7. 86. Sun, Y., Peng, X., Zhu, Y.-l. and Boehnke, K. (2011). Understanding Users’ Continuance Intention in Online Social Networks. E -Business and E -Government (ICEE) 2011 International Conference, 1-2. 87. Tan, F.B. and Chou, J.P.C. (2008). The Relationship Between Mobile Service Quality, Perceived Technology Compatibility, and Users’ Perceived Playfulness in the Context of Mobile Information and Entertainment Services. Journal of Human-Computer Interaction, 24(7), 649-671. 88. Taylor, S., Todd, P.A. (1995). Understanding information technology usage: A test of competing models. Inf. Syst. Res., 6 (2), 144-176. 89. Thompson, R., Compeau, D. and Higgins, C.A. (2006). Intentions to Use Information Technologies: An Integrative Model. Journal of Organizational and End User Computing, 18(3), 25-46. 90. Thong, J.Y.L., Hong, S.-J., and Tam, K.Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64 (9), 799-810. 91. Tojib, D. and Tsarenko, Y. (2011). Post-adoption modeling of advanced mobile Service use. Journal of Business Research, 2-4. 92. Tse, D.K. and Wilton, P.C. (1988). Models of consumer satisfaction formation: an extension. Journal of Marketing Research, 25 (2), 204-212. 93. Vatanasombut, B., Igbaria, M., Stylianou, A.C. and Rodgers, W. (2008). Information Systems Continuance Intention of Web-Based Applications Customers: The case of Online Banking. Information and Management, 45(7), 419-428. 94. Venkaetesh, V. and Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. 95. Venkatesh, V., Morris, M.G. and Davis, G.B. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27 (3), 425-478. 96. Verkasalo, Hannu, Carolina, Lopez-Nicolas, C., Molina-Castillo, F.J. and Bouwman, H. (2010). Analysis of users and non-users of smartphone applications. Telematics and Informatics 27, 243-246. 97. Westbrook, R.A. (1987). Product/Consumption-Based Affective Responses and Postpurchase Processes. Journal of Marketing Research, 24 (August), 258-270. 98. Wu, J. and Wang, S. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42, 719-729. 99. Xu, Z. and Yuan, Y. (2007). What is the Influence of Context and Incentive on Mobile Commerce Adoption? A Case study of a GPS-based Taxi Dispatching System. Sixth International Conference on the Management of Mobile Business(ICMB), 4-12. 100. Zeithaml, V.A., Berry, L.L., and Parasuraman, A. (1996). The Behavioral Consequences of Service Quality. Journal of Marketing, 60(2), 31-46. 101. Zhang, H. and Xu, X. (2011). Integrating Network Externalities into Expectation-Confirmation Model for E-Government Services Context: A Conceptual Model. Internet Technology and Applications (iTAP), 1-3. 102. Zhao, L. and Lu, Y. (2010). Perceived Interactivity Exploring Factors Affecting Micro-Blogging Service Satisfaction and Continuance Intention. PACIS 2010 Proceedings, 940-949. 103. Zhou, T. (2011). An empirical examination of users'' post-adoption behaviour of mobile services. Behaviour & Information Technology, 30(2), 241-250.; U0002-2406201200285400; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/87579; http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/87579/-1/index.html
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المؤلفون: 何彩鈴, Ho, Tsai-Ling
المساهمون: 淡江大學企業管理學系碩士在職專班, 吳坤山, Wu, Kun-Shan
مصطلحات موضوعية: 期望確認模型, 科技接受模型, 使用成本, E-book, Expectation Confirmation Model, Technology Acceptance Model, Usage cost, info, manag
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المؤلفون: 游英雪, Yu, Ying-Hsueh
المساهمون: 淡江大學企業管理學系碩士在職專班, 吳坤山, 羅惠瓊, Wu, Kun-Shan, Lo, Hui-Chiung
مصطلحات موضوعية: 個人創新特質, 期望確認模型, 持續使用意願, 最小平方估計法, APPS, Personal Innovativeness, Expectancy Confirmation Model, Continuance Intention, Partial Least Square, eco, manag
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المؤلفون: 陳宗偉
المساهمون: 施弼耀, Bih-Yaw Shih
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المؤلفون: 陳宗偉, Chen Zong-wei
المساهمون: 施弼耀, Bih-Yaw Shih
مصطلحات موضوعية: scientific literacy, Technology acceptance model (TAM), science education, Expectation confirmation model(ECM), Social cognitive theory (SCT), 科技接受模型(TAM), 社會認知理論(SCT, 期望確認模型(ECM), 科學素養, 科學教育
Relation: http://140.127.82.166/handle/987654321/8112; http://140.127.82.166/bitstream/987654321/8112/2/index.html
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المؤلفون: 林明宗, Lin Ming-Zong
المساهمون: 施弼耀
مصطلحات موضوعية: TAM, mobile robot, Radio Frequency Identification, ECM, E-book, FLOW, TRI, 電子書, 無線射頻辨識技術, 移動型機器人, 科技接受模式, 科技準備度, 期望確認模型, 流程理論
وصف الملف: 137 bytes; text/html
Relation: http://140.127.82.166/handle/987654321/5184; http://140.127.82.166/bitstream/987654321/5184/1/index.html
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14Dissertation/ Thesis
المؤلفون: 陳詠裕, Chen, Yung-Yu
المساهمون: 資訊管理系碩士班, 李富民, Fu-Ming Lee
مصطلحات موضوعية: 網??壇, 虛擬社群, 持續使用意願, 期望確認模型, 公平??, Online Forum, Justice Theory, Expectation Confirmation Model, Continuance Intention, Virtual Community
وصف الملف: 1415045 bytes; application/octet-stream
Relation: 098CYUT5396011; http://ir.lib.cyut.edu.tw:8080/handle/310901800/26573; http://ir.lib.cyut.edu.tw:8080/bitstream/310901800/26573/1/098CYUT5396011-001.zip
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15Dissertation/ Thesis
المؤلفون: 鍾其能, Chung, Chi-Neng
المساهمون: 資訊管理系碩士班, 李富民, Fu-Ming Lee
مصطلحات موضوعية: C2C團購網站, Web 2.0, 持續使用意向, 期望確認模型, 科技接受模型, C2C Group Buying Websites, Continuance Intention, Expectation-Confirmation Model, Technology Acceptance Model
وصف الملف: 893555 bytes; application/octet-stream
Relation: 096CYUT5396017; http://ir.lib.cyut.edu.tw:8080/handle/310901800/26491; http://ir.lib.cyut.edu.tw:8080/bitstream/310901800/26491/1/096CYUT5396017-001.zip