一、網路部分
[1] 【行動支付消費者調查】80%消費者有意願使用行動支付 (2017年2月)。取自 http://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=457
[2] 2017台灣行動支付普及年 Visa跨平台串聯,打造安全、便利、開放支付環境 (2017年5月)。取自 https://www.bnext.com.tw/article/43974/visa-mobile-pay-safe-convenient-open-environment
[3] Dustin S. (2017, December 11). Mobile Payments Still a Hard Sell in Mature Markets. Retrieved fromhttps://www.emarketer.com/content/mobile-payments-still-struggle-with-adoption-in-mature-markets
[4] Evelyn, C. (2017, October 8). Cash is already pretty much dead in China as the country lives the future with mobile pay. Retrieved from https://www.cnbc.com/2017/10/08/china-is-living-the-future-of-mobile-pay-right-now.html
[5] 台灣人不愛行動支付,為何要期待 Apple Pay? (2015年11月)。取自 http://appleuser.com/2015/11/21/apple-pay_tw/
[6] 李彬 (2017年2月)。從全球行動支付趨勢看臺灣市場發展。取自 http://www.fenc.com/magazine/show_faq_new.aspx?SN=9536
[7] 林資傑 (2018年1月12日)。《金融》街口進軍電子支付,金管會點頭。取自 http://www.chinatimes.com/realtimenews/20180112001547-260410
[8] 金管會拚行動支付三大主軸推動 (2017年11月)。取自 https://udn.com/news/story/7239/2822525?from=udn-relatednews_ch2
[9] 洪詩詩 (2017年6月3日)。該用什麼 Pay?Apple Pay、Samsung Pay、Android Pay、T-Wallet+、LINE Pay、街口支付比一比。取自 https://www.techbang.com/posts/51588
[10] 核准街口股份有限公司申請專營電子支付機構業務許可 (2018年1月)。取自 https://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0,2&mcustomize=news_view.jsp&dataserno=201801110004&aplistdn=ou=news,ou=multisite,ou=chinese,ou=ap_root,o=fsc,c=tw&dtable=News
[11] 第6家專營電子支付「街口支付」獲金管會核准 (2018年1月)。取自 http://news.ltn.com.tw/news/business/breakingnews/2309314
[12] 搞懂電子支付、第三方支付、行動支付 (2017年4月)。取自 http://www.thinkfintech.tw/Article?q=655068076232373080
[13] 臺灣行動支付發展之現況 (2017年8月)。會計研究月刊。取自 https://udn.com/news/story/6877/2619295
[14] 顏真真、曹逸雯 (2017年9月27日)。你嗶了嗎/土、洋行動支付對戰 外國月亮比較圓?。取自 https://www.nownews.com/news/20170927/2614386
[15] 魏淑芳 (2017年5月31日)。行動支付普及率創新高催生創新金融服務問世。取自https://www.digitimes.com.tw/iot/article.asp?cat=130&cat1=40&id=0000502454_48f35duo6gkc9q3ypt9vr
二、中文部分
[1] 王怡涵 (2017)。行動支付的近期發展與監管議題。政府部門委託之專題研究成果報告(編號﹕C10504925)。臺北市:中央銀行。
[2] 江宜庭 (2017)。探討O2O電子商務中影響消費者滿意度與忠誠度之因素。國立臺北科技大學經營管理研究所碩士論文。[3] 何雍慶、蔡青姿(2009)。脈絡線索對網路購物之影響─以知覺風險模式為中介效果。顧客滿意學刊,5(1),121-148。
[4] 吳明隆 (2007)。SPSS操作與應用:問卷統計分析實務。臺北市:五南。
[5] 李榮謙、方耀 (2001)。電子支付系統與電子貨幣:發展、影響及適當的管理架構。中央銀行季刊,23(3),7-50。
[6] 周桂酉 (2013)。探討消費者不使用行動銀行的主要因素:並以數位生活型態為干擾變數。實踐大學資訊科技與管理學系研究所碩士論文。[7] 林君翰 (2016)。以數位生活型態去描繪台灣群眾之行動購物行為。實踐大學資訊科技與管理學系研究所碩士論文。[8] 林廷叡 (2013)。探討讀者不閱讀電子書的原因:並以數位生活型態為干擾變數。實踐大學資訊科技與管理學系研究所碩士論文。[9] 俞洪亮、蔡義清、莊懿妃 (2010)。商管研究資料分析SPSS的應用。臺北市:華泰。
[10] 洪瓊梅 (2017)。行動支付促進因素影響消費者使用意願之研究。天主教輔仁大學資訊管理學系在職專班碩士論文。[11] 涂凱茜 (2015)。影響行動購物使用意願之因素探討。國立高雄應用科技大學企業管理系在職專班碩士論文。[12] 許傳勇 (2017)。以延伸科技接受模式探討消費者使用行動支付意圖。東吳大學企業管理學系碩士在職專班碩士論文。[13] 楊惠琴 (2006)。網路合購知覺風險與合購意向影響因素之研究。東吳大學國際貿易學系國際企業組碩士論文。[14] 鄭玉杰 (2009)。網路銀行服務品質、知覺風險及行為意圖之研究。國立勤益科技大學企業管理系碩士論文。[15] 黎乃瑜 (2017)。手機遊戲美學、口碑與使用意願關聯之研究。國立臺北大學企業管理學系碩士論文。[16] 謝俊謙 (2012)。瞭解影響消費者科技產品或服務品牌忠誠度的主要因素。實踐大學資訊科技與管理學系研究所碩士論文。[17] 鍾興祺 (2015)。以科技接受模式探討使用者採用NFC行動支付之意圖。國立高雄應用科技大學企業管理系碩士論文。[18] 鍾懿萍、柯清華 (2012)。高齡者生活型態與居住環境需求分析-以原臺南市為例。土地問題研究季刊,18-29。
三、英文部分
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[3] Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370.
[4] Cunningham, S. M. (1967). The Major Dimensions of Perceived Risk.In Cox, D. F. (Ed.), Risk-Taking and Information-Handle in Consumer Behavior, 82-108, Harvard University Press, Boston, MA.
[5] Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
[6] DeVellis, R. (2003). Scale development: Theory and applications. Thousand Oaks, CA: Sage.
[7] Engel, J., Blackwell, R. D., & Miniard, P. W. (1995).Consumer Behavior. New York: The Dryden Press.
[8] Evans, J. D. (1996). Straightforward statistics for the behavioral sciences. Pacific Grove, CA: Brooks/ColePublishing.
[9] Featherman, M. S., & Pavlou, P. A.(2003). Predicting E-Services Adoption: A Perceived Risk Facets Perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
[10] Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. MA: Addison-Wesley.
[11] Forsythe, S. M., & Shi, B. (2003).Consumer Patronage and Risk Perceptions in Internet Shopping. Journal of Business Research, 56(11), 867-875.
[12] Hassan, S. H., Thurasamy, T. R., & Loi, W. Y. (2017).E-lifestyle, Customer Satisfaction and Loyalty among Mobile Subscribers in Thailand. International Review of Management and Marketing, 7(1), 354-362.
[13] Hawkins, D.I., Best, R.J., & Coney, K.A. (1992). Consumer Behavior: Building Marketing Strategy (9th ed.). Boston: McGraw Hill.
[14] Hawkins, D.I., Best, R.J., & Coney, K.A. (1992).Consumer Behavior: Implications for Marketing Strategy. Irwin: Homewood.
[15] Hu, C., Carder, K. L., & Muller-Karger, F. E. (2000). Atmospheric Correction of Seawifs Imagery over Turbid Coastal Waters: A Practical Method. Remote Sensing of Environment, 74(2), 195-206.
[16] Jacoby, J., & Kaplan, L. B. (1972).The Components of Perceived Risk.In S. V. (Ed.), Association for Consumer Research, 382-393.American Marketing Association, Chicago, IL.
[17] Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
[18] Kim, K. H., Park, J. Y., Kim, D. Y., Moon, H. I., & Chun, H. C. (2002). E-lifestyle and motives to use online games. Irish Marketing Review, 15(2), 71-77.
[19] Kotler, P. (2000). Marketing Management: Analysis Planning, Implementation and Control (7th Edition). New Jersey: Prentice-Hall.
[20] Lazer, W. (1963).Life style concepts and marketing. Chicago: American Marketing Association, 140-151.
[21] Lim, N. (2003). Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228.
[22] Mitchell, A. (1983). The Nine American Lifestyles, New York: Warner Books.
[23] Moon, J. W., & Kim, Y. G. (2001).Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230.
[24] Murray, K. B. & Schlacter, J. L. (1990).The impact of services versus goods on consumers’ assessment of perceived risk and variability. Journal of the Academy of Marketing Science, 18(1), 51-65.
[25] Park, C., & Kim, Y. (2006).The Effect of Information Satisfaction and Relational Benefit on Consumers' Online Shopping Site Commitments. Journal of Electronic Commerce in Organizations, 4(1), 70-91.
[26] Plummer, J. T. (1974).The Concept and Application of Life-Style Segmentation.Journal of Marketing, 38 (1), 34.
[27] Reynolds, F. D., & Darden, W. R. (1974).Constructing Life Style and Psychographics. Life Style and Psychographics, Chicago: American Marketing Association, 74-87.
[28] Stone, R. N., & Gronhaung, K. (1993).Perceived Risk: further considerations for the marketing discipline. European Journal of Marketing, 27, 39-50.
[29] Szajna, B. (1996). Empirical Evaluation of the Revised Technology Acceptance Model. Management Science, 42(1), 85-92.
[30] Teo, T.& Koh, J. H. L.(2010).Assessing the dimensionality of computer self-efficacy among pre-serviceteachers in Singapore: a structural equation modeling approach.International Journal of Education and Development using Information and Communication Technology, 6(3), 7-18.
[31] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
[32] Yu, C. S. (2011). Construction and validation of an e-lifestyle instrument. Internet Research, 21(3), 214-235.
[33] Yu, C. S. (2015). Using E-Lifestyle to Analyze Mobile Banking Adopters and Non-Adopters. Journal of Global Information Technology Management, 18(3), 188-213.
[34] Zeng, Q., & Ma, J. (2016). Understanding the Role of Individual Perception on Mobile Payment: Moderating or Mediating. Journal of Advanced Management Science, 4(3), 195-200.