|
行政院消費者保護會（2017年08月21日）搜尋日期：2017年12月19日取自： https://www.cpc.ey.gov.tw/News_Content.aspx?n=CC07D24EB979D539&s=902A5FD7C3276DFC
行動支付（2017, July 12）. In Wikipedia, the free encyclopedia. Retrieved August 29, 2017, from http://zh.wikipedia.org/wiki/行動支付
吳明隆和涂金堂（2009）。SPSS與統計應用分析。台北市：五南圖書。
张文彤和董伟 (2004）。SPSS统计分析高级教程。北京：高等教育出版社
金融監督管理委員會（2017）。金融科技現況應用與周邊發展專題報告。台北市。
金融監督管理委員會（2016年06月03日）。信用卡業務機構辦理手機信用卡業務安全控管作業基準。台北市：金融監督管理委員會。2018年1月20日，取自：https://www.fsc.gov.tw/uploaddowndoc?file=newlaw/201606071110460.pdf&filedisplay=BB10500131900%E4%BF%AE%E6%AD%A3%E6%89%8B%E6%A9%9F%E4%BF%A1%E7%94%A8%E5%8D%A1%E5%AE%89%E6%8E%A7%E5%9F%BA%E6%BA%96%E9%87%91%E7%AE%A1%E6%9C%83%E5%82%99%E6%9F%A5%E7%89%88.pdf&flag=doc
胡自立（2017年05月05日） 。台灣行動支付消費者調查-OS分群分析。資策會產業情報研究所。搜尋日期：2017年8月29號，取自：http://mic.iii.org.tw/Scholar/ResearchDtl.aspx?docid=CDOC20170503003
范姜群暐（2012）。行動商務大未來。財金資訊季刊，72，2-6。
翁世吉和田育任（2014）。「行動商務」支付應用發展趨勢。財金資訊季刊，78，19-26。
財金資訊股份有限公司（2017）。行動金融卡業務。台北市：財金資訊股份有限公司。2018年1月20日，取自：https://www.fisc.com.tw/tc/business/Detail.aspx?caid=cba6a0e5-8400-43e5-beec-9be0c89d93e1
財金資訊股份有限公司（2017）。QR code業務。台北市：財金資訊股份有限公司。2018年1月20日，取自：https://www.fisc.com.tw/tc/business/Detail.aspx?caid=8cd49760-ee17-42d4-bd12-50a1098a250e
張巧真和陳筠惠（2013）。應用延伸型整合科技接受模式探討線上購買意願－以雙媒介之觀點。電子商務研究期刊，12(2)，143-168。
莊書怡（2016年09月26日）。2016 Q2台灣民眾媒體使用和影音閱聽行為調查。財團法人資訊工業策進會數位服務創新研究所。搜尋日期：2017年8月10日取自：https://www.find.org.tw/market_info.aspx?n_ID=8926
陳姿蓉（2014）。以科技接受模式探討消費者使用 QR Code 行動支付的行為意圖（未出版之碩士論文）。國立交通大學管理科學系，新竹市。
陳政偉（2017年12月14日）。行動支付跨部會議擴大手機綁電子票證。中央社。2018年1月20日，取自：http://www.cna.com.tw/news/afe/201712140415-1.aspx
凱基銀行（2017）。行動支付X卡商戶專區。2018年1月20日，取自：https://www.kgibank.com/xcard/index.html
彭雲鳳（2017）。多元化之行動支付方式及使用意願之探討（三）。彰化商業銀行業務研究報告書。
創市際市場研究顧問股份有限公司ComScore（2017年02月15日）。 2016年台灣網路使用概況回顧。創市際雙週刊。80。搜尋日期：2017年8月29號，取自：http://www.ixresearch.com/reports/創市際雙週刊第八十期-20170215/
盧琇暐（2016）。消費者知覺價值、個別差異與自我效能對使用行動支付意願的影響（未出版之碩士論文）。國立交通大學管理科學系，新竹市。
聯合信用卡處理中心收單特約商店數（106年版）【資料檔】。台北市：金管會。
聯合信用卡處理中心簽帳端末機裝機臺數（106年版）【資料檔】。台北市：金管會。
Adams, D. A., Nelson, R. R. and Todd, P. A. (1992). Perceived usefulness, ease of use and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
Afshan, S. and Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370-387.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Berlin, Germany: Springer-Verlag.
Alaiad, A. and Zhou, L. (2013). Patients’ behavioral intention toward using healthcare robots. In Proceedings of the19th Americas Conference on Information Systems (pp. 1-11).
Al-Shafi, S., Weerakkody, V. and Janssen, M. (2009). Investigating the adoption of eGovernment services in Qatar using the UTAUT model. In Proceedings of the 15th Americas Conference on Information Systems (pp. 1-11).
Alshare, K. and Mousa, A. (2014). The moderating effect of espoused cultural dimensions on consumer’s intention to use mobile payment devices. In Proceedings of the 35th International Conference on Information Systems (pp.1-15).
Anderson, J. C., Jain, D. C. and Chintagunta, P. K. (1992). Customer value assessment in business markets: A state-of-practice study. Journal of Business to Business Marketing, 1(1), 3-29.
Au, Y. A. and 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.
Augsburg, C. and Hedman, J. (2014). Value added services and adoption of mobile payments. In Proceedings of the 16th International Conference on Electronic Commerce (pp. 27-32).
Ba, S. and Pavlou, P. A. (2002). Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. MIS Quarterly, 26(3), 243-268.
Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175-1184.
Baron, R. M. and Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Bollen, K. A. and Stine, R. (1990). Direct and indirect effects: Classical and bootstrap estimates of variability. Sociological Methodology, 20, 115-140.
Borges, J. L., Ferreira, M. C., Galvão, T., Cunha, J. F., Fontes, T. D. and Costa, V. (2017). Evaluation of an integrated mobile payment, route planner and social network solution for public transport. Transportation Research Procedia, 24, 189–196.
Bradach, J. L. and Eccles, R. G. (1989). Price, authority and trust: From ideal types to plural forms. Annual Review of Sociology, 15(1), 97-118.
Bradley, G. L. and Sparks, B. A. (2012). Antecedents and consequences of consumer value_A longitudinal study of timeshare owners. Journal of Travel Research, 51(2), 191-204.
Chan, F. K., Thong, J. Y., Venkatesh, V., Brown, S. A., Hu, P. J. and Tam, K. Y. (2011). Modeling citizen satisfaction with mandatory adoption of an e-government technology. Journal of the Association for Information Systems, 11(10), 519–549
Chang, T. K. (2014). A secure operational model for mobile payments. The Scientific World Journal, 14, Article 626243. Retrieved January 06, 2018, from http://dx.doi.org/
10.1155/2014/626243
Chen, C. F. and Chen, F. S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31(1), 29-35.
Chen, L. D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52.
Cheng, T. E., Lam, D. Y. and Yeung, A. C. (2006). Adoption of internet banking - An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558-1572.
Cheong, J.H., Park, M.-C. and Hwang, J. H. (2004). Mobile payment adoption in Korea: switching from a credit card. In Proceedings of International Telecommunications Society 15th Biennial Conference (pp. 256-275).
Chi, H., Yeh, H. R. and Tsai, Y. C. (2011). The influences of perceived value on consumer purchase intention_the moderating effect of advertising endorser. Journal of International Management Studies, 6(1), 1-6.
Clemmer, J. (1990). The three rings of perceived value. Canadian Manager, 15(2), 12-15.
Cocosila, M. and Trabelsi, H. (2016). An integrated value-risk investigation of contactless mobile payments adoption. Electronic Commerce Research and Applications, 20, 159-170.
Comrey, A. L. and Lee, H. B. (2013). A First Course in Factor Analysis. London, England: Psychology Press.
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98-104
Cronin, J.J., Brady, M.K. and Hult, G.T.M. (2000). Assessing the effects of quality, value and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218.
Dahlberg, T. and Oorni, A. (2007). Understanding changes in consumer payment habits-do mobile payments and electronic invoices attract consumers?. In Proceedings of the 40th Annual Hawaii International Conference of System Sciences (pp. 50-59). doi: 10.1109/HICSS.2007.580
Dahlberg, T., Mallat, N. and Öörni, A. (2003). Trust enhanced technology acceptance modelconsumer acceptance of mobile payment solutions: Tentative evidence. Stockholm Mobility Roundtable, 22, 23-32.
Dastan, I. (2016). Factors affecting the adoption of mobile payment systems: an empirical analysis. Emerging Markets Journal, 6(1), 17-24.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
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.
Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
de Kerviler, G., Demoulin, N. T. and Zidda, P. (2017). Adoption of Proximity M-Payment Services: Perceived Value and Experience Effect. In Proceedings of Marketing at the Confluence between Entertainment and Analytics (pp. 275-276).
de Sena Abrahão, R., Moriguchi, S. N. and Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT). Revista de Administração e Inovação, 13(3), 221-230.
Dinev, T. and Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61-80.
Dodds, W. B. and Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. Advances in Consumer Research, 12(1), 85-90
Dodds, W. B., Monroe, K. B. and Grewal, D. (1991). Effects of price, brand and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307-319.
Drennan, J., Sullivan, G. and Previte, J. (2006). Privacy, risk perception and expert online behavior: An exploratory study of household end users. Journal of Organizational and End User Computing, 18(1), 1-22.
Durbin, J. and Watson, G. S. (1950). Testing for serial correlation in least squares regression. II. Biometrika, 38(1/2), 159-177.
Dustin Sodano (2016, December 16) Mobile Taiwan: A Look at a Highly Mobile Market. Retrieved December 12, 2017, from https://www.emarketer.com/Article/Mobile-Taiwan-Look-Highly-Mobile-Market/1014877.
Dwyer, F. R., P. H. Schurr and S. Oh (1987). Developing buyer-seller relationships, Journal of Marketing, 51(4), 11-27.
Efron, B. (1979). Bootstrap methods: another look at the jackknife. In Breakthroughs in Statistics (pp. 569-593). New York, NY: Springer.
Efron, B. and Tibshirani, R. J. (1994). An introduction to the bootstrap. Boca Raton, FL: CRC press.
Fisbein, M. and Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Boston, MA: Addison-Wiley.
Flint, D. J., Woodruff, R. B. and Gardial, S. F. (1997). Customer value change in industrial marketing relationships: a call for new strategies and research. Industrial Marketing Management, 26(2), 163-175.
Foon, Y. S. and Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: an application of UTAUT model. International Journal of Business and Management, 6(4), 161-167.
Gale, B. and Wood, R. C. (1994). Managing customer value: Creating quality and service that customers can see. New York, NY: Simon and Schuster.
Gefen, D., Karahanna, E. and Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
George, D. and Mallery, M. (2003). Using SPSS for Windows step by step: A simple guide and reference. Boston, MA: Allyn and Bacon
Goodhue, D. L. and Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213-236.
Grewal, D., Krishnan, R., Baker, J. and Borin, N. (1998). The effect of store name, brand name and price discounts on consumers' evaluations and purchase intentions. Journal of Retailing, 74(3), 331-352.
Gruzd, A., Staves, K. and Wilk, A. (2012). Connected scholars: Examining the role of social media in research practices of faculty using the UTAUT model. Computers in Human Behavior, 28(6), 2340-2350.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. and Tatham, R. L. (1998). Multivariate Data Analysis. Upper Saddle River, NJ: Prentice hall.
Hayes, A. F. (2009). Beyond Baron and Kenny: statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408-420.
Hayes, A. F. (2013). Introduction to Mediation, Moderation and Conditional Process Analysis: A Regression-Based Approach. Guilford Press. Retrieved December 9, 2017, from http://www.processmacro.org/index.html
Hedman, J. and Henningsson, S. (2015). The new normal: Market cooperation in the mobile payments ecosystem. Electronic Commerce Research and Applications, 14(5), 305-318.
Hoffman, D. L., Novak, T. P. and Peralta, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80-85.
Hongxia, P., Xianhao, X. and Weidan, L. (2011). Drivers and barriers in the acceptance of mobile payment in China. Communications in Information Science and Management Engineering, 1(5), 73-78.
Isaac, J. T. and Sherali, Z. (2014). Secure mobile payment systems. IT Professional, 16(3), 36-43.
Jarvenpaa, S. L., Tractinsky, N. and Saarinen, L. (1999). Consumer trust in an internet store: a cross‐cultural validation. Journal of Computer‐Mediated Communication, 5(2), 1-35.
Jermy, N. C. (2017, March 19). Taiwan consumers still wary of mobile payments. The Straits Times. Retrieved August 25, 2017, from http://www.straitstimes.com/
Jia, L. and Hall, D. (2014). The effect of technology usage habits on consumers’ intention to continue use mobile payments. In Proceedings of the Twentieth Americas Conference on Information Systems (pp. 3-5).
Jin, Y., Wang, S., Qu, Y., Guo, Q. and Li, J. (2017). Study on Security of Mobile Payment. In Proceedings of International Conference on Mechatronics and Intelligent Robotics (pp. 123-127).
Kadhiwal, S. and Zulfiquar, A. U. S. (2007). Analysis of mobile payment security measures and different standards. Computer Fraud and Security, 2007(6), 12-16.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
Kang, H., Lee, M. J. and Lee, J. K. (2012). Are you still with us_ A study of the post-adoption determinants of sustained use of mobile-banking services. Journal of Organizational Computing and Electronic Commerce, 22(2), 132-159.
Kantar TNS (2017, Jan 23). Asia Pacific leads the world in mobile payments in latest study by Kantar TNS. Retrieved August 29, 2017, from http://www.tnsglobal.com/asia-pacific/intelligence-applied/asia-pacific-leads-world-mobile-payments-latest-study-kantar-tns
Karnouskos, S. (2004). Mobile payment: A journey through existing procedures and standardization initiatives. IEEE Communications Surveys and Tutorials, 6(4).44-66.
Karnouskos, S., Hondroudaki, A., Vilmos, A. and Csik, B. (2004, July). Security, trust and privacy in the secure mobile payment service. In Proceedings of 3rd International Conference on Mobile Business (pp. 3-5).
Khalilzadeh, J., Ozturk, A. B., and Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474.
Khan, M., Narasimhan, A. and Melton, W. N. (2017). Systems for performing secure mobile payment and non-payment transactions with integrated loyalty, rewards and promotions. U.S. Patent Application, 14, 592-620.
Kim, G., Shin, B. and Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311.
Kim, H. W., Xu, Y. and Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust?. Electronic Commerce Research and Applications, 11(3), 241-252.
Kim, Y. H., Kim, D. J. and Wachter, K. (2013). A study of mobile user engagement (MoEN) Engagement motivations, perceived value, satisfaction and continued engagement intention. Decision Support Systems, 56, 361-370.
Kim, Y., Park, Y. J. and Choi, J. (2016). The adoption of mobile payment services for “Fintech”. International Journal of Applied Engineering Research, 11(2), 1058-1061.
Koufaris, M. and Hampton-Sosa, W. (2004). The development of initial trust in an online company by new customers. Information and Management, 41(3), 377-397.
Lallmahomed, M. Z., Rahim, N. Z. A., Ibrahim, R. and Rahman, A. A. (2013). Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook). Computers in Human Behavior, 29(6), 2776-2787.
Li, H., Liu, Y. and Heikkilä, J. (2014). Understanding the Factors Driving NFC-Enabled Mobile Payment Adoption: An Empirical Investigation. In Proceedings of Pacific Asia Conference on Information Systems (pp. 231-242).
Li, J., Liu, J. L. and Ji, H. Y. (2014). Empirical study of influence factors of adaption intention of mobile payment based on TAM model in China. International Journal of u-and e-Service, Science and Technology, 7(1), 119-132.
Lian, J. W. and Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133-143.
Liao, Q., Shim, J. P. and Luo, X. (2004). Student acceptance of web-based learning environment: An empirical investigation of an undergraduate IS course. In Proceedings of the 10th Americas Conference on Information Systems (pp. 3092-3098).
Liébana-Cabanillas, F., Muñoz-Leiva, F. and Sánchez-Fernández, J. (2017). A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment. Service Business, 1-40.
Liébana-Cabanillas, F., Ramos de Luna, I. and Montoro-Ríos, F. (2017). Intention to use new mobile payment systems: A comparative analysis of SMS and NFC payments. Economic Research-Ekonomska Istraživanja, 30(1), 892-910.
Liébana-Cabanillas, F., Sánchez-Fernández, J. and Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
Liew, E. J. Y., Vaithilingam, S. and Nair, M. (2014). Facebook and socio-economic benefits in the developing world. Behavior and Information Technology, 33(4), 345-360.
Lin, K. Y. and Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161.
Linck, K., Pousttchi, K. and Wiedemann, D. G. (2006). Security issues in mobile payment from the customer viewpoint. In Proceedings of the 14th European Conference on Information Systems (pp.1-11).
Liu, C., Marchewka, J. T., Lu, J. and Yu, C. S. (2005). Beyond concern—a privacy-trust-behavioral intention model of electronic commerce. Information and Management, 42(2), 289-304.
Loose, M., Weeger, A. and Gewald, H. (2013). BYOD–the next big thing in recruiting? Examining the determinants of BYOD service adoption behavior from the perspective of future employees. In Proceedings of the 19th Americas Conference on Information Systems (pp. 1-12).
Lu, Y., Yang, S., Chau, P. Y. and Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information and Management, 48(8), 393-403.
Luarn, P. and Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891.
Luna, I. R. D., Montoro-Ríos, F., Liébana-Cabanillas, F. and Luna, J. G. D. (2017). NFC technology acceptance for mobile payments: A Brazilian perspective. Revista Brasileira de Gestão de Negócios, 19(63), 82-103.
Mallat, N. (2007). Exploring consumer adoption of mobile payments–A qualitative study. The Journal of Strategic Information Systems, 16(4), 413-432.
Martins, C., Oliveira, T. and Popovic, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
Mathwick, C., Malhotra, N. and Rigdon, E. (2001). Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77(1), 39-56.
Mayer, R. C., Davis, J. H. and Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734.
McDougall, G. H. and Levesque, T. (2000). Customer satisfaction with services: putting perceived value into the equation. Journal of Services Marketing, 14(5), 392-410.
McKnight, D. H., Cummings, L. L. and Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management Review, 23(3), 473-490.
Mishra, A. K. (1996). Organizational responses to Crisis: The centrality of trust. In R. Kramer and T. Tyler (Eds.), Trust in Organizations: Frontiers of Theory and Research (pp. 261–287). Thousand Oaks, CA: Sage.
Moorman, C., Deshpande, R. and Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing, 57(1), 81-101.
Morgan, R. M. and Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(7), 20-38.
Nunnally, J. C. (1967). Psychometric theory. New York, NY: McGraw-Hill.
Oh, J. C. and Yoon, S. J. (2014). Predicting the use of online information services based on a modified UTAUT model. Behavior and Information Technology, 33(7), 716-729.
Oliveira, T., Faria, M., Thomas, M. A. and Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703.
Oliveira, T., Thomas, M., Baptista, G. and Campos, F. (2016). Mobile payment Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414.
Olsen, C. and Skogvold, R. (2016). Aspects to consider when introducing Mobile Payment (Master's thesis, Nord Universitet).
Ondrus, J. and Pigneur, Y. (2006). Towards a holistic analysis of mobile payments: A multiple perspectives approach. Electronic Commerce Research and Applications, 5(3), 246-257.
Ozcan, P. and Santos, F. M. (2015). The market that never was: Turf wars and failed alliances in mobile payments. Strategic Management Journal, 36(10), 1486-1512.
Parasuraman, A. and Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: A research agenda. Journal of the Academy of Marketing Science, 28(1), 168-174.
Parasuraman, A., Zeithaml, V. A. and Malhotra, A. (2005). ES-QUAL A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.
Pavlou, P. A., Liang, H. and Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly,31(1), 105-136.
Payments Cards and Mobile. (2017, January 12). Mobile payments market is projected to grow at a CAGR of 33.4%. Retrieved August 29, 2017, from http://www.mobilepaymentsworld.com/mobile-payments-market-projected-grow-cagr-33-4/?v=3d9975706be3
Peng, R., Xiong, L. and Yang, Z. (2012). Exploring tourist adoption of tourism mobile payment: An empirical analysis. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 21-33.
Petrick, J. F. and Backman, S. J. (2002). An examination of golf travelers' satisfaction, perceived value, loyalty and intentions to revisit. Tourism Analysis, 6(3/4), 223-237.
Ponte, E. B., Carvajal-Trujillo, E. and Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286-302.
Pousttchi K (2003) Conditions for acceptance and usage of m-payment procedures. In Proceedings of the 2nd International Conference on Mobile Business (pp.201-210).
Pousttchi, K. and Wiedemann, D. G. (2007). What influences consumers’ intention to use mobile payments. In Proceedings of Global Mobility Roundtable (pp. 1-16).
Preacher, K. J. and 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.
Pynoo, B., Devolder, P., Tondeur, J., Van Braak, J., Duyck, W. and Duyck, P. (2011). Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study. Computers in Human Behavior, 27(1), 568-575.
Rana, N. P., Dwivedi, Y. K., Lal, B., Williams, M. D. and Clement, M. (2017). Citizens’ adoption of an electronic government system: towards a unified view. Information Systems Frontiers, 19(3), 549-568.
Ratnasingham, P. (1998). The importance of trust in electronic commerce. Internet Research, 8(4), 313-321.
Rogers, E.M. (1995). Diffusion of Innovations. New York, NY: Free Press.
Rousseau, D. M., Sitkin, S. B., Burt, R. S. and Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393-404.
Sahin Dölarslan, E. (2014). Assessing the effects of satisfaction and value on customer loyalty behaviors in service environments_ High-speed railway in Turkey as a case study. Management Research Review, 37(8), 706-727.
Salisbury, W. D., Pearson, R. A., Pearson, A. W. and Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management and Data Systems, 101(4), 165-177.
Schierz, P. G., Schilke, O. and Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services_ An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216.
Sheng, M. L., Hsu, C. L. and Wu, C. C. (2011). The asymmetric effect of online social networking attribute-level performance. Industrial Management and Data Systems, 111(7), 1065-1086.
Sheth, J. N., Newman, B. I. and Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170.
Slade, E. L., Dwivedi, Y. K., Piercy, N. C. and Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk and trust. Psychology and Marketing, 32(8), 860-873.
Slade, E., Dwivedi, Y., Williams, M. and Piercy, N. (2016). An empirical investigation of remote mobile payment adoption. In Proceedings of Let’s Get Engaged! Crossing the Threshold of Marketing’s Engagement Era (pp. 441-442).
Sledgianowski, D. and Kulviwat, S. (2009). Using social network sites: The effects of playfulness, critical mass and trust in a hedonic context. Journal of Computer Information Systems, 49(4), 74-83.
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhardt (Ed.), Sociological Methodology (pp. 290–312). San Francisco, CA: Jossey-Bass.
Sobel, M. E. (1986). Some new results on indirect effects and their standard errors in covariance structure models. In N. Tuma (Ed.), Sociological Methodology (pp.159-186). Washington, DC: American Sociological Association.
Society for worldwide interbank financial telecommunication (2012, May 5). Mobile payments Three winning strategies for banks. Retrieved August 19, 2017, from https://www.swift.com/news-events/press-releases/mobile-payments_three-winning-strategies-for-banks
Steenkamp, J. B. E. and Geyskens, I. (2006). How country characteristics affect the perceived value of web sites. Journal of Marketing, 70(3), 136-150.
Stone, C. A. and Sobel, M. E. (1990). The robustness of total indirect effects in covariance structure models estimated with maximum likelihood. Psychometrika, 55, 337-352.
Sun, Y., Liu, L., Peng, X., Dong, Y. and Barnes, S. J. (2014). Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model. Electronic Markets, 24(1), 57-66.
Swait, J. and Sweeney, J. C. (2000). Perceived value and its impact on choice behavior in a retail setting. Journal of Retailing and Consumer Services, 7(2), 77-88.
Sweeney, J. C. and Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.
Sweeney, J. C., Soutar, G. N. and Johnson, L. W. (1997). Retail service quality and perceived value: A comparison of two models. Journal of Retailing and Consumer Services, 4(1), 39-48.
Sykes, T. A., Venkatesh, V. and Johnson, J. L. (2014). Enterprise system implementation and employee job performance: Understanding the role of advice networks. MIS Quarterly, 38(1), 51-72.
Tabachnick, B. G. and Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.). Boston, MA: Allyn and Bacon.
Taylor, S. and Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561-570.
Thompson, R. L., Higgins, C. A. and Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS Quarterly, 15(1), 124-143.
Thong, J. Y., Venkatesh, V., Xu, X., Hong, S. J. and Tam, K. Y. (2011). Consumer acceptance of personal information and communication technology services. IEEE Transactions on Engineering Management, 58(4), 613-625.
Ting, H., Yacob, Y., Liew, L. and Lau, W. M. (2016). Intention to use mobile payment system A case of developing market by Ethnicity. Procedia-Social and Behavioral Sciences, 224, 368-375.
Ulaga, W. and Eggert, A. (2006). Relationship value and relationship quality: Broadening the nomological network of business-to-business relationships. European Journal of marketing, 40(3/4), 311-327.
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. and Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.
Venkatesh, V. and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J. Y. L. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J. H. and Brown, S. A. (2011). Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal, 21(6), 527-555.
Wang, C. (2014). Antecedents and consequences of perceived value in Mobile Government continuance use: An empirical research in China. Computers in Human Behavior, 34, 140-147.
Wang, Y., Hahn, C. and Sutrave, K. (2016). Mobile payment security, threats and challenges. In Proceedings of Mobile and Secure Services (MobiSecServ), 2016 Second International Conference (pp. 1-5).
Whitener, E. M., Brodt, S. E., Korsgaard, M. A. and Werner, J. M. (1998). Managers as initiators of trust: An exchange relationship framework for understanding managerial trustworthy behavior. Academy of Management Review, 23(3), 513-530.
Wolfinbarger, M. and Gilly, M. C. (2003). eTailQ_ dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198.
Woodruff, R. B. (1997). Customer value: the next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139-153.
Workman, M. (2014). New media and the changing face of information technology use: The importance of task pursuit, social influence and experience. Computers in Human Behavior, 31, 111-117.
Xin, H., Techatassanasoontorn, A. and Tan, F. B., (2013). Exploring the influence of trust on mobile payment adoption. In Proceedings of Pacific Asia Conference on Information Systems (pp. 1-18).
Xiong, J., Qureshi, S. and Najjar, L. (2013). Factors that affect information and communication technology adoption by small businesses in China. In Proceedings of the 19th Americas Conference on Information Systems (pp. 1-12).
Yan, H. and Pan, K. (2014). Examine user adoption of mobile payment Using the TAM: A trust transfer perspective. In Proceedings of the 13th Wuhan International Conference on E-Business - Human Behavior and Social Impacts on E-Business, Wuhan, China (p. 401-409).
Yang, Z. and Jun, M. (2008). Consumer perception of e-service quality: From internet purchaser and non-purchaser perspectives. Journal of Business Strategies, 25(2), 59.
Yoo, S. J., Han, S. H. and Huang, W. (2012). The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea. Computers in Human Behavior, 28(3), 942-950.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality and value a means-end model and synthesis of evidence. The Journal of Marketing, 52(3), 2-22.
Zhang, Ya-Jun (2017, April 19)。一次看懂行動支付：什麼是遠端支付、近端支付？國內有哪些方案？。T客邦。2017年 2 月 12 日，取自：https://www.techbang.com/posts/23218-a-read-operation-pay-basic-concepts-solutions-graphic-all-set-pchome231-touch-the-future-author-zhang-yajun
Zhou, T. (2014). An empirical examination of initial trust in mobile payment. Wireless Personal Communications, 77(2), 1519-1531.
Zhou, T., Lu, Y. B. and Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767.
Zhu, D. S., Chih, Z., O'Neal, G. S. and Chen, Y. H. (2011). Mr. Risk! Please trust me trust antecedents that increase online consumer purchase intention. Journal of Internet Banking and Commerce, 16(3), 1-23.
Zmijewska, A., Lawrence, E. and Steele, R. (2004, October). Towards understanding of factors influencing user acceptance of mobile payment systems. In Proceedings of the 3rd International Conference on www/internet (pp. 270-277).
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