Responsive image
博碩士論文 etd-0413116-132448 詳細資訊
Title page for etd-0413116-132448
論文名稱
Title
手機上的神秘第三者: 從科技接受與網路口碑觀點探討微信支付使用意圖
The Mysterious Third-Party on Mobile Phone: Exploring Users’ Intention to Wechat Payment with Technology Acceptance Model and E-WOM.
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
76
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2016-06-20
繳交日期
Date of Submission
2016-06-29
關鍵字
Keywords
外部動機、信任、口碑、科技接受模式、微信、第三方支付、行動支付
third-party payment, WeChat, TAM, E-WOM, Trust, Extrinsic motivation, mobile payment
統計
Statistics
本論文已被瀏覽 5918 次,被下載 35
The thesis/dissertation has been browsed 5918 times, has been downloaded 35 times.
中文摘要
近來全球行動支付的使用率不斷成長,且行動支付的模式不斷推陳出新,且越來越多非專業金融公司如騰訊等,亦推出了有別於傳統行動支付模式的行動第三方支付服務「微信支付」。本研究將以微信此種依附於通訊軟體內的行動第三方支付模式作為探討案例,並修正了科技接受模型,除了既有模型中的知覺易用性與知覺有用性等理性因素外,同時加入了口碑傳播與社群影響等感性因素,藉以更多元的構面了解此種支付模式支於使用者而言是否具有吸引力以及願意使用的意願。本研究以曾使用過微信通訊軟體之中華人民共和國公民作為研究對象,並以便利抽樣之方式進行網路問卷調查,總計回收531份有效問卷使用偏最小平方法(PLS)進行分析。透過因素分析檢驗信效度與路徑分析檢定假說,本研究結果發現,知覺有用性將正向影響使用意圖;推薦人親密度會透過推薦數量以部分中介的形式影響使用意願,同時使用意願與信任皆會正向影響實際使用;而實際使用亦會正向影響持續使用可能,其中使用者的獲利程度對於持續使用具有正向的影響。本研究的研究結果不僅為此種新型支付模式提供了具有參考性的研究架構,同時亦將原有的科技接受模式進行更完整化的修正,使科技接受模式在未來的應用中能夠更加具有解釋性。
Abstract
As the amount of world’s mobile payment grows, there are more and more new kinds of mobile payment modes. Also there are some companies, which are not knowns as traditional finance companies, release their mobile third party payment apps. This study takes Wechat Payment, a mobile third party payment app as the case, to explore users’ intention on using these apps through the lens of “Technology Acceptance Model” and “Electronic Word of Mouth”. For this purpose, this research conducted an online survey and collected 531 responses. Partial Least Square (PLS) was used to examine the measurement and research model. The results of this research indicate that perceive usefulness has a positive influence on users’ intention, and through partially mediation effect of recommendation message, the tie strength between the recommendation provider and receiver can also positively affect users’ intention. Besides, users’ intention and trust are both key factors that influence users’ actual use of this kind of apps. And user’s actual use will positively influence their continuous use, while users’ benefit gain from this app has a positive effect towards continuous use.
目次 Table of Contents
摘要 i
Abstract iii
目錄 iv
表目錄 vi
圖目錄 vii
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機與目的 4
第三節 研究問題 6
第二章 文獻探討 7
第一節 行動第三方支付 7
第二節 科技接受模式 10
第三節 口碑行銷 19
第三章 研究方法 24
第一節 研究架構 24
第二節 研究設計 24
第三節 研究對象與資料搜集 25
第四節 研究操作行定義與測量工具 26
第五節 問卷前測與分析 27
第四章 資料分析 31
第一節 描述性統計分析 31
第二節 樣本信效度分析 34
第三節 路徑分析與假說檢驗 37
第五章 結論與建議 40
第一節 研究結果 40
第二節 研究結果之意涵 43
第三節 研究限制與未來建議 46
參考文獻 47
附錄 問卷 61
參考文獻 References
中文文獻
3年衝出10億用戶,WeChat用人工智慧做了哪些事?(2015年9月3日)。數位時代。2015年9月3日,取自:http://www.bnext.com.tw/article/view/id/37263
LINE Pay 攜商家接軌行動支付,帶動 flyingV 參與(2015年9月22日)。TechNews科技新報。2015年9月22日,取自:http://technews.tw/2015/09/22/LINE-pay-flyingv/
Q4 財報公布,LINE 營收持續成長(2015年1月29日)。TechNews科技新報。2015年1月29日,取自:http://technews.tw/2015/01/29/LINE-naver-q4/
吳亞馨、朱素玥、方文昌 (2008)。 網路購物信任與科技接受模式之實證研究。資訊管理學報, 頁,頁 123-152。
吳中志 (2014)。 兩岸行動支付市場發展現況與合作契機。經濟前瞻(151),頁 101-108。
吳盛、林東清 (2007)。 以計劃行為理論探討資訊人員的知識分享行為。資訊管理學報, 14(2),頁 75-110。
李淑華 (2014)。 淺析我國 NFC 行動支付發展現況。臺灣經濟研究月刊, 37(10),頁 121-127。
林錦郎、張可立、張松山 (2015)。 從社會資本觀點探討即時通訊 LINE 知識分享行為。全球商業經營管理學報(7),頁 135-147。
金融機構發展行動支付服務的現況(2014年11月25日)。金管會公告資訊。 2014年11月25日,取自:http://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0,2&mcustomize=news_view.jsp&dataserno=201411250002&toolsflag=Y&dtable=News
美國WhatsApp、大陸微信WeChat、韓國LINE三霸天下(2014年2月21日)。中時電子報。2012年2月21日,取自:http://www.chinatimes.com/newspapers/20140221000922-260301
台灣支付業者行行好吧!中國微信支付登台我才曉得支付可以那麼方便(2015年11月6日)。TechOrange。2015年11月6日,取自:http://buzzorange.com/techorange/2015/11/06/wechat-taiwan/
智慧型行動裝置普及率近7成 市場即將飽和! 資策會FIND:行動族群半年增加逾100萬人、全臺滑世代破1,432萬(2014年12月29日)。資策會FIND電子報。2014年12月29日,取自:http://www.find.org.tw/market_info.aspx?n_ID=8303
[重慶直擊] 行動支付是一種社交?3個關鍵,看「微信支付」的成功秘訣!(2015年10月24日)。數位時代。2015年10月24日,取自:http://www.bnext.com.tw/article/view/id/37760
蔡宗霖 (2009)。 從美國 PayPal 經驗與歐盟支付服務指令論我國第三方支付服務之現狀與未來。科技法律透析, 21(10),頁 47-64。
鄭菀瓊 (2008)。 科技化創新金融服務規範研析-以行動支付和第三方支付爲例。科技法律透析, 20(3),頁 15-38。
謝孟珊 (2013)。 第三方支付法制問題研析。科技法律透析, 25(2),頁 14-38。

英文文獻
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior: Springer.
Alsamydai, M.J. (2014). Adaptation of the technology acceptance model (tam) to the use of mobile banking services. International Review of Management and Business Research, 3(4), 2039.
Amabile, T.M., Hill, K.G., Hennessey, B.A., & Tighe, E.M. (1994). The work preference inventory: Assessing intrinsic and extrinsic motivational orientations. Journal of personality and social psychology, 66(5), 950.
Antovski, L., & Gusev, M. (2003). M-payments. Paper presented at the Information Technology Interfaces, 2003. ITI 2003. Proceedings of the 25th International Conference on.
Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of marketing Research, 291-295.
Au, Y.A., & Kauffman, R.J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications, 7(2), 141-164.
Bachfischer, A., Lawrence, E., & Steele, R. (2004). Towards understanding of factors influencing user acceptance of mobile payment systems. Paper presented at the IADIS International Conference WWW/Internet.
Bagozzi, R.P., & Kimmel, S.K. (1995). A comparison of leading theories for the prediction of goal‐directed behaviours. British Journal of Social Psychology, 34(4), 437-461.
Bansal, H.S., & Voyer, P.A. (2000). Word-of-mouth processes within a services purchase decision context. Journal of service research, 3(2), 166-177.
Basheer, A.A.-a., & Ibrahim, A.A. (2010). Mobile marketing: Examining the impact of trust, privacy concern and consumers' attitudes on intention to purchase. International journal of business and management, 5(3), 28.
Bataineh, A.Q. (2015). The impact of perceived e-wom on purchase intention: The mediating role of corporate image. International Journal of Marketing Studies, 7(1), 126.
Blumberg, B., Cooper, D.R., & Schindler, P.S. (2014). Business research methods: McGraw-Hill Education.
Bone, P.F. (1995). Word-of-mouth effects on short-term and long-term product judgments. Journal of business research, 32(3), 213-223.
Chang, S.C., & Tung, F.C. (2008). An empirical investigation of students' behavioural intentions to use the onLINE learning course websites. British Journal of Educational Technology, 39(1), 71-83.
Chen, C.-W., Chen, W.-C., & Chen, W.-K. (2014). Understanding the effects of ewom on cosmetic consumer behavioral intention. International Journal of Electronic Commerce Studies, 5(1), 97-102.
Chen, L.-d. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52.
Chen, L.-d., Gillenson, M.L., & Sherrell, D.L. (2004). Consumer acceptance of virtual stores: A theoretical model and critical success factors for virtual stores. ACM Sigmis Database, 35(2), 8-31.
Chen, Y.Y., Jan, J.K., & Chen, C.L. (2005). A fair and secure mobile billing system. Computer Networks-the International Journal of Computer and Telecommunications Networking, 48(4), 517-524. doi: 10.1016/j.comnet.2004.10.011
Chris Yang, H., Liu, H., & Zhou, L. (2012). Predicting young chinese consumers' mobile viral attitudes, intents and behavior. Asia Pacific Journal of Marketing and Logistics, 24(1), 59-77.
Chu, S.-C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (ewom) in social networking sites. International journal of Advertising, 30(1), 47-75.
Clarke III, I. (2001). Emerging value propositions for m-commerce. Journal of Business Strategies, 18(2), 133.
Coursaris, C., & Hassanein, K. (2002). Understanding m-commerce: A consumer-centric model. Quarterly journal of electronic commerce, 3, 247-272.
Dahlberg, T., Mallat, N., & Öörni, A. (2003a). Consumer acceptance of mobile payment solutions–ease of use, usefulness and trust: na.
Dahlberg, T., Mallat, N., & Öörni, A. (2003b). Trust enhanced technology acceptance modelconsumer acceptance of mobile payment solutions: Tentative evidence. Stockholm Mobility Roundtable, 22-23.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer-technology - a comparison of 2 theoretical-models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of onLINE feedback mechanisms. Management science, 49(10), 1407-1424.
Dellarocas, C. (2006). Reputation mechanisms. Handbook on Economics and Information Systems, 629-660.
Dellarocas, C., & Narayan, R. (2006). A statistical measure of a population’s propensity to engage in post-purchase onLINE word-of-mouth. Statistical Science, 21(2), 277-285.
DeVellis, R.F. (1991). Scale development: Theory and applications (Vol. 26): Sage publications.
Drucker, P. (1954). The principles of management. New York.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Fukuyama, F. (1996). Trust: The social virtues and the creation of prosperity (Vol. 457): Free press New York.
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725-737.
Gelb, B.D., & Sundaram, S. (2002). Adapting to “word of mouse”. Business Horizons, 45(4), 21-25.
Gilly, M.C., Graham, J.L., Wolfinbarger, M.F., & Yale, L.J. (1998). A dyadic study of interpersonal information search. Journal of the Academy of Marketing Science, 26(2), 83-100.
González, A.G. (2004). Paypal: The legal status of c2c payment systems. Computer Law & Security Review, 20(4), 293-299.
Goodhue, D., Lewis, W., & Thompson, R. (2007). Research note-statistical power in analyzing interaction effects: Questioning the advantage of pls with product indicators. Information Systems Research, 18(2), 211-227.
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571.
He, J., Zhang, D., & Mao, Y. (2013). An empirical study on consumer intention to participate in mobile marketing in china. E3 Journal of Business Management and Economics, 4(7), 156-165.
He, X., & Pedraza-Jiménez, R. (2015). Chinese social media strategies: Communication key features from a business perspective. El profesional de la información, 24(2).
He, Y. (2013). Study of magnetic field coupling technologies in activating rfid-sim card mobile payments. Wireless Personal Communications, 71(1), 243-254. doi: 10.1007/s11277-012-0813-1
Hong, W., Thong, J.Y., & Wai-Man Wong, K.-Y.T. (2002). 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.
Hu, X., Lin, Z., Whinston, A.B., & Zhang, H. (2004). Hope or hype: On the viability of escrow services as trusted third parties in onLINE auction environments. Information Systems Research, 15(3), 236-249.
Huang, J., Li, Y., & Li, H. (2013). Study on factors to adopt mobile payment for tourism e-business: Based on valence theory and trust transfer theory Information and communication technologies in tourism 2014 (pp. 747-759): Springer.
Irby, T.L., & Strong, R. (2013). Agricultural education students' acceptance and self-efficacy of mobile technology in classrooms. NACTA Journal, 57(1), 82.
Jansen, W., & Karygiannis, T. (1998). Mobile agent security: DTIC Document.
Janz, B.D., Colquitt, J.A., & Noe, R.A. (1997). Knowledge worker team effectiveness: The role of autonomy, interdependence, team development, and contextual support variables. Personnel psychology, 50(4), 877-904.
Jiang, G., Peng, L., & Liu, R. (2015a). Mobile game adoption in china: The role of tam and perceived entertainment, cost, similarity and brand trust. imaging (Di Feng, 2007; Zhixiao Zhou, 2009; Tianshun Wang), 6, 8.
Jiang, G., Peng, L., & Liu, R. (2015b). Research on the factors influencing mobile game adoption in china Liss 2014 (pp. 1297-1302): Springer.
José Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Role of gender on acceptance of mobile payment. Industrial Management & Data Systems, 114(2), 220-240.
Kadhiwal, S., & Zulfiquar, A.U.S. (2007). Analysis of mobile payment security measures and different standards. Computer Fraud & Security, 2007(6), 12-16.
Kaiser, H.F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
Keith, M.J., Thompson, S.C., Hale, J., Lowry, P.B., & Greer, C. (2013). Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior. International Journal of Human-Computer Studies, 71(12), 1163-1173.
Khasawneh, M. (2015). A mobile banking adoption model in the jordanian market: An integration of tam with perceived risks and perceived benefits. J Internet Bank Commer, 20(128), 2.
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322. doi: 10.1016/j.chb.2009.10.013
Kim, H.-W., Chan, H.C., & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111-126. doi: 10.1016/j.dss.2005.05.009
Kozinets, R.V. (2002). The field behind the screen: Using netnography for marketing research in onLINE communities. Journal of marketing research, 39(1), 61-72.
Lau, G.T., & Ng, S. (2001). Individual and situational factors influencing negative word‐of‐mouth behaviour. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 18(3), 163-178.
Lee, D., Lee, H., & Kim, T. (2010). A study of the impact of early stage e-wom on wom quantity. Paper presented at the Spring Conference Proceedings of Korean Marketing Association, Seoul, Korea.
Liang, T.-P., Li, X., Yang, C.-T., & Wang, M. (2015). What in consumer reviews affects the sales of mobile apps: A multifacet sentiment analysis approach. International Journal of Electronic Commerce, 20(2), 236-260.
Lin, C., Wu, Y., & Chen, J. (2013). Electronic word-of-mouth: The moderating roles of product involvement and brand image. Paper presented at the Proceedings of 2013 international conference on technology innovation and industrial management.
Lin, H.-F. (2007). Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions. Journal of information science.
Lin, J.C.-C. (2007). OnLINE stickiness: Its antecedents and effect on purchasing intention. Behaviour & information technology, 26(6), 507-516.
Linck, K., Pousttchi, K., & Wiedemann, D.G. (2006). Security issues in mobile payment from the customer viewpoint.
Loch, K.D., & Conger, S. (1996). Evaluating ethical decision making and computer use. Communications of the ACM, 39(7), 74-83.
Lu, J., Lu, C., Yu, C.-S., & Yao, J.E. (2014). Exploring factors associated with wireless internet via mobile technology acceptance in mainland china. Communications of the IIMA, 3(1), 9.
Lu, Y., Yang, S., Chau, P.Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393-403.
Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior, 21(6), 873-891.
Mallat, N. (2004). Theoretical constructs of mobile payment adoption. IRIS27.
Mallat, N. (2007). Exploring consumer adoption of mobile payments - a qualitative study. Journal of Strategic Information Systems, 16(4), 413-432. doi: 10.1016/j.jsis.2007.08.001
Mallat, N., Rossi, M., & Tuunainen, V.K. (2004). Mobile banking services. Communications of the ACM, 47(5), 42-46.
Mallat, N., Rossi, M., Tuunainen, V.K., & Öörni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information & management, 46(3), 190-195.
McClelland, D.C. (1985). How motives, skills, and values determine what people do. American Psychologist, 40(7), 812.
McKnight, D.H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13(3), 334-359.
Ng-Kruelle, G., Swatman, P.A., Rebne, D.S., & Hampe, J.F. (2002). The price of convenience: Privacy and mobile commerce. Quarterly Journal of Electronic Commerce, 3, 273-286.
Nunkoo, R., Juwaheer, T., & Rambhunjun, T. (2013). Applying the extended technology acceptance model to understand online purchase behavior of travelers. Paper presented at the Proceedings of 21st International Business Research Conference.
Oh, S., Baek, H., & Ahn, J. (2015). The effect of electronic word–of–mouth (ewom) on mobile application downloads: An empirical investigation. International Journal of Mobile Communications, 13(2), 136-156.
Okazaki, S., & Yagüe, M.J. (2012). Responses to an advergaming campaign on a mobile social networking site: An initial research report. Computers in Human Behavior, 28(1), 78-86.
Ondrus, J., & Pigneur, Y. (2006). Towards a holistic analysis of mobile payments: A multiple perspectives approach. Electronic Commerce Research and Applications, 5(3), 246-257.
Ondrus, J., & Pigneur, Y. (2007). An assessment of nfc for future mobile payment systems. Paper presented at the Management of Mobile Business, 2007. ICMB 2007. International Conference on the.
Osman, N.B. (2013). Extending the technology acceptance model for mobile government systems. development, 5, 16.
Park, C., & Jung, S. (2006). Content analysis of the consumer’s onLINE word of mouth. Advertising Research, 70, 91-118.
Pelletier, L.G., Fortier, M.S., Vallerand, R.J., Tuson, K.M., Briere, N.M., & Blais, M.R. (1995). Toward a new measure of intrinsic motivation, extrinsic motivation, and amotivation in sports: The sport motivation scale (sms). Journal of sport and Exercise Psychology, 17, 35-35.
Pickett-Baker, J., & Ozaki, R. (2008). Pro-environmental products: Marketing influence on consumer purchase decision. Journal of consumer marketing, 25(5), 281-293.
Preacher, K.J., & Hayes, A.F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879-891.
Reid, M., & Levy, Y. (2008). Integrating trust and computer self-efficacy with tam: An empirical assessment of customers’ acceptance of banking information systems (bis) in jamaica. Journal of Internet Banking and Commerce, 12(3), 1-17.
Söderlund, M. (1998). Customer satisfaction and its consequences on customer behaviour revisited: The impact of different levels of satisfaction on word-of-mouth, feedback to the supplier and loyalty. International Journal of Service Industry Management, 9(2), 169-188.
Schierz, P.G., Schilke, O., & Wirtz, B.W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216.
Shin, D.-H., & Kim, W.-Y. (2008). Applying the technology acceptance model and flow theory to cyworld user behavior: Implication of the web2. 0 user acceptance. CyberPsychology & Behavior, 11(3), 378-382.
Song, P., Zhang, C., Xu, Y.C., & Huang, L. (2010). Brand extension of onLINE technology products: Evidence from search engine to virtual communities and onLINE news. Decision support systems, 49(1), 91-99.
Sun, H.-M., & Leu, M.-C. (2009). An efficient authentication scheme for access control in mobile pay-tv systems. Ieee Transactions on Multimedia, 11(5), 947-959. doi: 10.1109/tmm.2009.2021790
SUSAN, D., & Holmes, J.G. (1991). The dynamics of interpersonal trust: Resolving uncertainty in the face of risk. Cooperation and prosocial behaviour, 190.
Swan, J.E., Bowers, M.R., & Richardson, L.D. (1999). Customer trust in the salesperson: An integrative review and meta-analysis of the empirical literature. Journal of business research, 44(2), 93-107.
Swan, J.E., & Oliver, R.L. (1989). Postpurchase communications by consumers. journal of retailing.
Tanimoto, J., & Fujii, H. (2003). A study on diffusional characteristics of information on a human network analyzed by a multi-agent simulator. The Social Science Journal, 40(3), 479-485.
Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155.
Yu, C.-S. (2012). Factors affecting individuals to adopt mobile banking: Empirical evidence from the utaut model. Journal of Electronic Commerce Research, 13(2), 104.
Van Hoye, G., & Lievens, F. (2007). Social influences on organizational attractiveness: Investigating if and when word of mouth matters1. Journal of Applied Social Psychology, 37(9), 2024-2047.
Varshney, U. (2003). Location management for mobile commerce applications in wireless internet environment. ACM Transactions on Internet Technology (TOIT), 3(3), 236-255.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Venkatesh, V., & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: Development and test*. Decision sciences, 27(3), 451-481.
Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V., Speier, C., & Morris, M.G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297-316.
Wang, T.-S. (2013). Design and assessment of joyful mobile navigation systems based on tam and integrating learning models applied on ecological teaching activity. Eurasia Journal of Mathematics, Science & Technology Education, 9(2), 201-212.
Wang, Y.-S., Wang, Y.-M., Lin, H.-H., & Tang, T.-I. (2003). Determinants of user acceptance of internet banking: An empirical study. International Journal of service industry management, 14(5), 501-519.
Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:自定論文開放時間 user define
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code