博碩士論文 101423044 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:45 、訪客IP:18.223.125.110
姓名 李柏毅(LI, BO-YI)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 個人行為特質與社會影響對行動支付採用態度之探討
(A Study on Intention toward Mobile Payment Adoption from User-centric factors and Social Influences)
相關論文
★ 半導體二手設備之行銷策略-以應用材料公司為例★ 從創新擴散角度探討新科技技術行銷策略之影響 —以全球資訊大廠推廣Web Services為例
★ 企業多角化經營策略之研究 ─以某機構拓展資訊應用服務市場為例★ 汽車產業網站行銷之應用與效益探討研究-以N品牌為例
★ 系統整合業轉型策略之探討--以A公司為例★ 顧客關係管理系統導入之研究-以A、B公司為例
★ 策略聯盟個案分析 - 以台灣光碟機廠商為例★ 資訊教育訓練機構的轉型策略 —以某資訊教育機構為例
★ 組織文化及組織承諾對組織變革影響之研究- 以外商銀行與本國銀行資訊部門為例★ 高階資訊教育市場行銷策略與會員制度之研究-資訊教育產業為例
★ 探討平衡計分卡在售前技術支援部門績效管理的運用 - 以外商資訊科技公司為例★ 軟體行銷策略與競爭優勢分析-以全球二家資訊大廠為例
★ 綠色供應鏈管理研究-以A公司為例★ 企業專案管理系統 - 提升專案即時資訊透通性及其效益分析
★ 金融軟體專案管理導入國際專案管理師(PMP)專案管理機制之效益分析★ 企業轉型與其資源基礎之關係研究及轉型策略之發展-以M公司為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限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。
  3. 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。

摘要(中) 支付工具分為現金和非現金支付工具,其中非現金支付為目前現代市場上常用的支
付方式,包括使用信用卡、金融簽帳卡及電子錢包等方式,而隨著消費者對於行動支付應用越來越熟悉,也越來越期待能夠利用智慧型手機做任何事情,包括資料傳輸、資料交換、資料下載,甚至是使用NFC 功能進行支付(小額付款或轉帳)與整合票卡(悠遊卡或電子錢包)。
過去研究也已針對一般消費者對於行動支付之認知及採用行為的前因進行探討,但
其中多以系統分析角度如知覺有用性、知覺易用性、相容性等因素進行探討;或是以功利性因素如風險與性能,本研究考慮當今消費者生活型態以及行動支付技術相對於先前已更加進步成熟,並因應現今社群媒體蓬勃發展的背景,以個人行為特質(包括個人創新性、手機依附行為)和社會影響(包括自我社交形象、主觀規範)兩大構面探討消費者對行動支付的接受程度,並整合計畫行為理論觀點中的認知行為控制,從不同角度發展本研究架構,以試圖探討消費者對行動支付採用態度與採用意願之影響分析。
本研究利用問卷調查法,研究對象以台灣消費者為標的,採用迴歸分析與結構方程
式模型分析,確定有哪些構面間因果關係以及對消費者於行動支付的態度與意願影響程度,經過分析與驗證假說後,個人行為特質和社會影響兩大構面中的因素對採用態度皆達顯著水準。結果顯示,當使用者具備高創新性以及對手機的高度依附,認知到採用行動支付獲得社會支持與提升自我社交形象時,會影響個人對於行動支付的正向感覺程度,相關業者推廣行動支付服務時,除了相關硬體設備的建置,應針對本研究探討之消費者行為特質與影響其採用意圖的社會影響力,規劃適合的加值服務以刺激潛在使用者的使用意圖。
摘要(英) People pay for goods and services with cash and noncash. Noncash, including credit card and debit card, is the most popular payment. As getting more and more familiar with the using of mobile devices, consumers expect to do anything in advantage of mobile devices, even using it as a payment tool.
The current study aims to investigate consumers′ acceptance to adopt mobile devices as payment tools according to well-known theoretical intention-based models. In order to analyze the level of acceptance of this technology, as well as the factors that determine its use by consumers, this study have introduced a modification of the classical technological acceptance models (TPB and TAM). Thus, the study proposes and tests an integrated theoretical model, which establishes the relative importance of the user-centric factors (personal innovativeness and mobile attachment) and social influence factors (self-social image and subjective norms) in terms of the acceptance of the mobile payment system in Taiwan. Moreover, this study also analyzes the moderating effect of perceived behavioral control.
To show the validity of the new construct, this study developes a research model and testes it using the results of 670 valid questionnaires. Regressions and partial least squares are employed for data analysis. Results revealed that: (1) the four constructs are statistically significant in affecting users’ attitude to use mobile payment. (2) The moderator ‘perceived behavioral control’ of ‘attitude’ and ‘intention’ have significantly moderating effect. This is believed to be the first study to present both individual and social aspects by investigating consumers’ acceptance to adopt mobile phone as payment tools for their shopping in Taiwan. Related business promoting service of mobile payment should plan on proper mobile value-added service to stimulate users’ intention in addition to the development of hardware facility.
關鍵字(中) ★ 行動支付
★ 計劃行為理論
★ 科技接受模型
★ 個人行為特質
★ 社會影響
關鍵字(英)
論文目次 目錄
中文摘要 i
Abstract ii
誌謝辭 iii
目錄 iv
圖目錄 vi
表目錄 vii
第一章、緒論 1
1-1 研究背景與動機 1
1-2 研究目的與問題 4
1-3 研究流程 5
第二章、文獻探討 6
2-1 行動支付 6
2-2 科技接受相關理論 23
2-3 手機依附性 30
2-4 個人創新性 31
2-5 自我社交形象 32
2-6 主觀規範 33
2-7 態度 34
2-8 知覺行為控制 35
2-9 採用意圖 35
第三章、研究架構與方法 36
3-1 研究架構 36
3-2 研究假說 39
3-3 變數定義與衡量 43
3-4 研究設計 51
第四章、資料分析 54
4-1 樣本描述性統計分析 54
4-2 問卷量表之信效度分析 61
4-3 假說檢定 66
4-4 調節效果 67
4-5 補充分析 70
第五章、結論與建議 73
5-1 研究結果 73
5-2 管理意涵 76
5-3 研究限制與未來建議 78
參考文獻 80
附錄 正式問卷 90
參考文獻 英文文獻
[1] Ang, L. (2011). Community relationship management and social media. Journal of Database Marketing & Customer Strategy Management, 18(1), 31-38.
[2] Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9(2), 204-215.
[3] Agarwal, R., Ahuja, M., Carter, P. E., & Gans, M. (1998, September). Early and late adopters of IT innovations: extensions to innovation diffusion theory. In Proceedings of the DIGIT Conference (pp. 1-18).
[4] Ajzen, I., & Fishbein, M. (1975). Belief, attitude, intention and behavior: An introduction to theory and research
[5] Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological bulletin, 84(5), 888.
[6] Ajzen, I., & Fishbein, M. (1980). Predicting and understanding consumer behavior: Attitude-behavior correspondence. Understanding attitudes and predicting social behavior, 148-172.
[7] Ajzen, I. (1985). From intentions to actions: A theory of planned behavior (pp. 11-39). Springer Berlin Heidelberg.
[8] Ajzen, I. (1989). Attitude structure and behavior. Attitude structure and function, 241-274.
[9] Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
[10] Alexander, J.E., & Filler, R.C. (1976). Attitudes and reading. Newark, DE: International Reading Association.
[11] Alliance, S. C. (2007). Proximity Mobile Payments: Leveraging NFC and the Contactless Financial Payments Infrastructure. Smart Card Alliance.
[12] Alliance, S. C. (2011). The Mobile Payments and NFC Landscape: A US Perspective. Smart Card Alliance.
[13] Allport, G. W. (1935). Attitudes. In C. Murchison (Ed.), Handbook of social psychology (pp. 798-844). Worcester, MA: Clark University Press.
[14] Amoroso, D. L., & Ogawa, M. (2011). Japan’s Model of Mobile Ecosystem Success: The Case of NTT DoCoMo. Journal of Emerging Knowledge on Emerging Markets, 3(1), 27.
[15] Andreoni, J., & Bernheim, B. D. (2009). Social image and the 50–50 norm: A theoretical and experimental analysis of audience effects. Econometrica, 77(5), 1607-1636.
[16] A.Y.L. Chong, N. Darmawan, K.B. Ooi, V.H. Lee. Determinants of 3G adoption in Malaysia: A structural analysis. Journal of Computer Information Systems, 51 (2011), pp. 71–80.
[17] Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models.Journal of the academy of marketing science, 16(1), 74-94.
[18] Banks, J., & Bowman, N. D. (2013). Close intimate playthings? Understanding player-avatar relationships as a function of attachment, agency, and intimacy.Selected Papers of Internet Research, 3.
[19] Bao, Y., Zhou, K. Z., & Su, C. (2003). Face consciousness and risk aversion: Do they affect consumer decision‐making?. Psychology & Marketing, 20(8), 733-755.
[20] Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 30(4), 411-420.
[21] Blythe, J. (1999). Innovativeness and newness in high-tech consumer durables.Journal of Product & Brand Management, 8(5), 415-429.
[22] Bowlby, J. (1969). Attachment and Loss: Attachment. V. Basic Books.
[23] Burak, L. J., Rosenthal, M., & Richardson, K. (2013). Examining attitudes, beliefs, and intentions regarding the use of exercise as punishment in physical education and sport: an application of the theory of reasoned action. Journal of Applied Social Psychology, 43(7), 1436-1445.
[24] Cass, S. (2012). Levelup: pay-by-phone innovator [Start-up]. Spectrum, IEEE,49(10), 28-30
[25] Chau, P. Y., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach*. Decision Sciences, 32(4), 699-719.
[26] Chen, L. D., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & management, 39(8), 705-719.
[27] Chin, W. W. (1995). Partial Least Squares is to LISREL as principal components analysis is to common factor analysis. Technology Studies, 2, 315-319.
[28] Chin, W. W. (1998a). Issues and Opinion on Structural Equation Modeling. MIS Quarterly, 22(1), vii-xvi.
[29] Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis. Psychology Press.
[30] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
[31] Dobre, C., Dragomir, A., & Preda, G. (2009). CONSUMER INNOVATIVENESS: A MARKETING APPROACH. Management & Marketing, 4(2).
[32] Evaristo, J. R., & Karahanna, E. (1998). The impact of privatization on organizational information needs: lessons from the Brazilian Telecommunications Holding Company.Information Technology & People, 11(3), 207-216.
[33] Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
[34] Fortunati, L. (2002). The mobile phone: Towards new categories and social relations 1. Information, communication & society, 5(4), 513-528.
[35] Gao, T. T., Rohm, A. J., Sultan, F., & Pagani, M. (2013). Consumers un-tethered: A three-market empirical study of consumers′ mobile marketing acceptance. Journal of Business Research, 66(12), 2536-2544.
[36] Gerpott, T. J., & Kornmeier, K. (2009). Determinants of customer acceptance of mobile payment systems. International Journal of Electronic Finance, 3(1), 1-30.
[37] Ghezzi, A., Renga, F., Balocco, R., & Pescetto, P. (2010). Mobile Payment Applications: offer state of the art in the Italian market. info, 12(5), 3-22.
[38] Goffman, E. (1967). Interaction ritual: essays on face-to-face interaction.
[39] Goldsmith, Ronald E., and Charles F. Hofacker. (1991). Measuring Consumer Innovativeness. Academy of Marketing Science, 19 (3), pp. 209-22
[40] Gutiérrez, S. S. M., & Catalán, B. L. (2010). Posibilidades de la compraventa B2C por teléfono móvil en comparación con Internet. Cuadernos de Gestión, 10(1).
[41] Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate analysis. Englewood: Prentice Hall International.
[42] Haverila, M. (2011). Behavioral aspects of cell phone usage among youth: an exploratory study. Young Consumers: Insight and Ideas for Responsible Marketers, 12(4), 310-325.
[43] Holden, W. (2014). Mobile Payment Strategies: Remote, Contactless & Money Transfer 2014-2018. Hampshire: Juniper Research.
[44] Hung, S. Y., Ku, C. Y., & Chang, C. M. (2003). Critical factors of WAP services adoption: an empirical study. Electronic Commerce Research and Applications,2(1), 42-60.
[45] Hughes, N., & Lonie, S. (2007). M-PESA: mobile money for the “unbanked” turning cellphones into 24-hour tellers in Kenya. Innovations, 2(1-2), 63-81.
[46] Järnefelt, P. (2013). An empirical study on the adoption of mobile location-based advertising.
[47] Jarvenpaa, S. L., Lang, K. R., Takeda, Y., & Tuunainen, V. K. (2003). Mobile commerce at crossroads. Communications of the ACM, 46(12), 41-44.
[48] Johnsen, T. E. (2003). The social context of the mobile phone use of Norwegian teens. Machines that become us: The social context of communication technology, 161-170.
[49] Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
[50] Katz, J. E., & Sugiyama, S. (2003). Social conduct, social capital and the mobile phone in the US and Japan: a preliminary exploration via student survey. Mobile democracy: Essays on society, self and politics, 375-385.
[51] Katz, J. E. (2005). Mobile phones in educational settings. A sense of place: The global and the local in mobile communication, 305-317.
[52] Katz, J. E., & Sugiyama, S. (2006). Mobile phones as fashion statements: evidence from student surveys in the US and Japan. New media & society, 8(2), 321-337.
[53] Kasesniemi, E. L., & Rautiainen, P. (2002). 11 Mobile culture of children and teenagers in Finland. Perpetual contact: Mobile communication, private talk, public performance, 170.
[54] 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.
[55] 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.
[56] Liébana-Cabanillas, F. (2012). El papel de los medios de pago en los nuevos entornos electrónicos. (doctoral thesis) Departamento de Comercialización e Investigación de Mercados. Universidad de Granada.
[57] Longoni, A., & Gaza, M. (2013). Mobile Payments 2013: Changing checkout. Innopay BV, Brussels.
[58] Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.
[59] Merlo, L., & Stone, A. (2007). Anxiety linked with increased cell-phone dependence, abuse, anxiety. Anxiety Disorders Association of America 28th Annual Meeting: Poster 55. March 6-9, 2007.
[60] Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.
[61] Nokia (2010). Presentation by Nokia Italy at the University of Bocconi
[62] Nunnally, J. (1978). C.(1978). Psychometric theory.
[63] Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: antecedents and cross-service comparisons. Journal of the academy of marketing science, 33(3), 330-346.
[64] Ondrus, J., Lyytinen, K., & Pigneur, Y. (2009, January). Why mobile payments fail? towards a dynamic and multi-perspective explanation. In System Sciences, 2009. HICSS′09. 42nd Hawaii International Conference on (pp. 1-10). IEEE.
[65] Pagani, M. (2004). Determinants of adoption of third generation mobile multimedia services. Journal of interactive marketing, 18(3), 46-59.
[66] Pagani, M. (2007). A vicarious innovativeness scale in the domain of 3G mobile services: Integrating the domain specific innovativeness scale with psychological and rational indicators. Technology Analysis & Strategic Management, 19 (6), 709-728.
[67] Petrova, K. (2008, January). Mobile payment: Towards a customer-centric model. InWeb Information Systems Engineering–WISE 2008 Workshops (pp. 12-23). Springer Berlin Heidelberg.
[68] Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of management, 12(4), 531-544.
[69] Quereda, P. F., & Díaz, P. J. C. (2011). Conociendo al consumidor innovador: análisis de sus rasgos y características. Información Comercial Española, ICE: Revista de economía, (860), 131-146.
[70] Rivis, A., & Sheeran, P. (2003). Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis. Current Psychology, 22(3), 218-233.
[71] Rogers, E. M., & Shoemaker, F. F. (1971). Communication of innovations: A cross-cultural approach.
[72] Rogers Everett, M. (2003). Diffusion of innovations. New York.
[73] Roehrich, G. (2004). Consumer innovativeness: concepts and measurements.Journal of Business Research, 57(6), 671-677.
[74] Rohm, A. J., Gao, T. T., Sultan, F., & Pagani, M. (2012). Brand in the hand: A cross-market investigation of consumer acceptance of mobile marketing. Business Horizons, 55(5), 485-493.
[75] Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103.
[76] Schriesheim, C. A. (1979). The similarity of individual directed and group directed leader behavior descriptions. Academy of Management Journal, 22(2), 345-355.
[77] Shankar, V., Venkatesh, A., Hofacker, C., & Naik, P. (2010). Mobile marketing in the retailing environment: current insights and future research avenues. Journal of interactive marketing, 24(2), 111-120.
[78] Shih, H. P. (2004). An empirical study on predicting user acceptance of e-shopping on the Web. Information & Management, 41(3), 351-368.
[79] Siau, K., Sheng, H., & Nah, F. F. H. (2004, December). Value of Mobile Commerce to Customers. In AMCIS (p. 337).
[80] Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS quarterly, 679-704.
[81] Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
[82] Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre‐service teachers′ computer attitudes: applying and extending the technology acceptance model.Journal of computer assisted learning, 24(2), 128-143.
[83] Teo, T. S., & Pok, S. H. (2003). Adoption of WAP-enabled mobile phones among Internet users. Omega, 31(6), 483-498.
[84] Vincent, J. (2005). Are people affected by their attachment to their mobile phone? In K. Nyiri (Ed.),A sense of place: The global and the local in mobile communication (pp. 221–230). Vienna: Passagen Verlag.
[85] Vincent, J. (2006). Emotional attachment and mobile phone. Knowledge, Technology and Policy, 19(1), 3–7.
[86] Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management science, 46(2), 186-204.
[87] 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).
[88] Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
[89] Weber, R. H., & Darbellay, A. (2010). Legal issues in mobile banking. Journal of Banking Regulation, 11(2), 129-145.
[90] Wehmeyer, K. (2007).Assessing users′ attachment to their mobile devices. Proceedings of the sixth international conference on the management of mobile.
[91] Whan Park, C., MacInnis, D. J., Priester, J., Eisingerich, A. B., & Iacobucci, D. (2010). Brand attachment and brand attitude strength: conceptual and empirical differentiation of two critical brand equity drivers. Journal of Marketing, 74(6), 1-17.
中文文獻
[1] 楊玉奇、翁偉修、胡自立(2013)。2013資通訊服務產業年鑑-資訊應用篇。台北:資策會MIC。
[2] 行動通訊研究團隊(2012)。NFC技術與TSM發展現況分析。資策會MIC。
[3] 郭家蓉(2013)。行動支付應用範疇與智慧裝置大廠發展現況。資策會MIC。
[4] 郭家蓉(2006)。Google Wallet 營運模式分析。資策會南港IC設計育成中心.
網站部分
[1] Boden, R. (2013). Russian carriers launch joint NFC ticketing service in Kazan, NFC World. Retrieved April 20, 2014, from http://www.nfcworld.com/2013/06/28/324846/russian-carriers-launch-joint-nfc-ticketing-service-in-kazan/
[2] Cocotas, A. (2013). CHART OF THE DAY: Square Is On Track To Process $15 Billion In Payments This Year. Business Insider Intelligence. Retrieved March 14, 2014, from http://www.businessinsider.com/square-handles-payments-2013-5
[3] Crowe, M. and E. Tavilla (2012). Mobile Phone Technology: ‘Smarter’ Thank We Thought: How Technology Platforms are Security Mobile Payments in the U.S. Federal Reserve Bank of Boston. Retrieved April 25, 2014, from http://www.bos.frb.org/bankinfo/payment-strategies/publications/2012/mobile-phone-technology.pdf
[4] Dolcourt, J. (2010). Making Sense of Mobile Payment. CNET. Retrieved April 20, 2014, from http://www.cnet.com/8301-17918_1-20013480-85.html
[5] Dolcourt, J. (2010). Start Your Own Business with Square for Android. CNET. Retrieved April 20, 2014, from http://www.cnet.com/8301-19736_1-20005441-251.html
[6] Emerging Technologies, Payment Card Industry Security Standards Council. (2013). PCI Mobile Payment Acceptance Security Guidelines [electronic version 1.0]. Payment Card Industry Security Standards Council. form https://www.pcisecuritystandards.org/documents/Mobile_Payment_Security_Guidelines_Merchants_v1.pdf
[7] Gidvani, L, & di Castri, S. (2013). The Kenyan Journey to Digital Financial Inclusion. GSMA. Retrieved April 20, 2014, from http://www.gsma.com/mobilefordevelopment/wp-content/uploads/2013/07/MMU-Infographic-The-Kenyan-journey-to-digital-financial-inclusion.pdf
[8] Google Wallet. See http://www.google.com/wallet/ (last accessed May 5, 2014).
[9] Google Offers. See https://www.google.com/offers/business/en_uk/index.html (last accessed May 5, 2014).
[10] Holden, W. (2012). NFC Mobile Payments set to Exceed $180bn Worldwide by 2017 as NFC Becomes Standard. Juniper Research. Retrieved April 20, 2014, from http://www.juniperresearch.com/viewpressrelease.php?pr=327
[11] Husson, T. (2013). Forecast: Mobile Payment Enter A Disruptive Phase. Forrester Research. Retrieved April 27, 2014, from http://blogs.forrester.com/thomas_husson/11-03-31-mobile_payments_enter_a_disruptive_phase
[12] Michael, N. (2013). Zuum Launches in Brazil. Mobile Marketing Magazine. Retrieved April 20, 2014, from http://blog.digital.telefonica.com/?press-release=mfs-launches-the-first-mobile-payment-service-in-brazil
[13] Nielsen Research. (2010, April 2). U.S. smartphone penetration to be over 50% in 2011. Nielsen Retrieved April 27, 2014, from http://www.nav2.com.cn/en/news/2010/04/3749
[14] Rivera, J., & Meulen. (2013). Gartner Says Worldwide Mobile Payment Transaction Value to Surpass $235 Billion in 2013. Gartner Research. from http://www.gartner.com/newsroom/id/2504915
[15] Shen, S. (2012). Forecast: Mobile Payment, Worldwide, 2009-2016. Gartner Research. Retrieved January 27, 2014, from https://www.gartner.com/doc/2010515/forecast-mobile-payment-worldwide
[16] Square, Inc. See https://squareup.com/ca?country_code=ca (last accessed April 5, 2014).
[17] Truong, Q. (2013). LevelUp, Institute for Business in the Global Context. The Cost of Cash Blog. Retrieved April 20, 2014, from https://sites.tufts.edu/costofcash/2013/03/14/levelup/
[18] Truong, Q. (2013). Square. The Cost of Cash Blog. Retrieved April 25, 2014, from http://sites.tufts.edu/costofcash/2013/03/20/square/
[19] Uzureau, C. (2011). On the move: Mobilising payment systems. Gartner Group. Retrieved April 20, 2014, from http://www.fst.net.au/Data/publication/Feat.MobilePayments.pdf
[20] Vpon. (2013). Taiwan Mobile Advertising Statistics and Trends. Retrieved April 25, 2014, from http://sites.tufts.edu/costofcash/2013/03/20/square/http://www.vpon.com/images/datafile/Vpon_2013en.pdf
[21] 中華電信QR Code信用卡行動支付(2014)。取自http://hamiweb.emome.net/pages/content/9/105
[22] 中國銀聯. (2014)。服務小額快速支付 全國銀聯「閃付」終端近300萬台。取自http://corporate.unionpay.com/infonewsCenter/infoCompanyNews/file_112429797.html
指導教授 李小梅 審核日期 2014-7-7
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明