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Doctoral Dissertation, MIT.

[71] Davis, F.D. (1989) “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology” MIS Quarterly 13(3), pp. 319-340.

[72] Davis, F.D. (1993) “User Acceptance of Information Technology System Characteristics, User Perceptions and Behavioral Impacts” International Journal of Man-Machine Studies 38(3), pp. 475-487.

[73] Davis, F.D., and V. Venkatesh (1996) “A Critical Assessment of Potential Measurement Biases in the Technology Acceptance Model: Three Experiments” International Journal of Human- Computer Studies 45(1), pp.19-45.

[74] Davis, F.D., Bagozzi, R.P., Warshaw, P.R. (1992): Extrinsic and intrinsic motivationtousecomputers intheworkplace. J.Appl.Soc. Psychol. 22(14), 11– 32.

[75] Davis, F.D., R.P. Bagozzi, and P.R. Warshaw (1989) “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models” Management Science 35(8), pp.982-1003.

[76] Davis, F.D., Venkatesh, V. (2004): Toward preprototype user acceptance testing of new information: implications for software projectmanagement.IEEETrans.Eng.Manag. 51(1), 31–46.

[77] Dillon, A., and M.G. Morris (1996) “User Acceptance of Information Technology Theories and Models” Annual Review of Information Science and Technology 31, pp. 3-32.

[78] Faziharudean & Tan ( 2011) Consumers' behavioral intentions to use mobile data services in Malaysia,African journal of business management 5(5):1811-1821 · March 2011.

[79] Featherman, M., & Pavlou, P. (2003). Predicting E-servives adoption: A perceived risk facets perspective. Internatinal journal of Human-Computer studies , Vol.59,No.4, pp 451-471.

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Xem toàn bộ 235 trang tài liệu này.

[80] Featherman,M., and M. Fuller (2003) “Applying TAM to E-services Adoption: the Moderating Role of Perceived Risk” Proceedings of the 36th Hawaii International Conference on System Sciences.

[81] Feng-Teng, Lin, Wu Hsin-Ying, and Tran Thi Tuyet Nga (2014) "Internet banking adoption in a developing country: an empirical study in Vietnam." Inf syst E-Bus manager, Springer.

Các nhân tố ảnh hưởng đến ý định và quyết định sử dụng thẻ ngân hàng - Nghiên cứu thực tiễn tại Việt Nam - 20

[82] Fisbein, M. & Ajzen (1975), Belief, Attitutude, Intention and Behavior: An Introduction to Theory and Research, Addion-Wesley Publishing Company.

[83] Folorunso, O., Ateji, O. A., & Awe, O. (2010). An exploratory study of the critical factors affecting the acceptability of automated teller machine (ATM) in Nigeria. Anale. Seria Informatică , Vol. VIII fasc. 1. PP. 151 - 161.

[84] Fornell, C., &Larcker, D. F., (1981) “Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics”, First Published August 1, 1981.

[85] Gefen,D.,Karahanna,E.,Straub,D.W., (2003) “Inexperienceand experience with online stores: the importance of TAM and trust. IEEE Trans. Eng.

Manag. 50(3), 307–321

[86] Gefen, D., and D.W. Straub (1997) “Gender Difference in the Perception and Use of E-mail: An Extension to the Technology Acceptance Model” MIS Quarterly 21(4), pp.389-400.

[87] Gefen, D., and D.W. Straub (2000) “The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-commerce Adoption” Journal of the Association for Information Systems 1.

[88] Gefen, D., and M. Keil (1998) “The Impact of Developer Responsiveness on Perceptions of Usefulness and Ease of Use: An Extension of the Technology Acceptance Model” Data Base 29(2), pp.35-49.

[89] Gefen, D., E. Karahanna, and D. W. Straub (2003) “Trust and TAM in Online Shopping: An Integrated Model” MIS Quarterly 27(1). pp. 51-90.

[90] Gerbing & Anderson (1988), “Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, Vol 103(3), May 1988, 411-423.

[91] Gerrard & Cunningham (2003), “The diffusion of internet banking among Singapore consumers”, International of Bank Marketing, Vol.21

[92] Gregory Mankiw, N., (2011), “Principals of economics”, Cengage Learing, 888tr.

[93] Gorsuch, R. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates

[94] Guriting, P.,Ndubisi, N. O (2006) "Borneo online banking: evaluating customer perceptions and behavioural intention", Management Research News, Vol. 29 Issue: 1/2, pp.6-15.

[95] Hair Jr., J. F. et al. (1998). “Multivariate Data Analysis with Readings”.

Englewood Cliffs, NJ: Prentice-Hall

[96] Hansell, S., and White, H. R., Adolescent Drug Use, Psychological Distress, and Physical Symptoms, Journal of Health and Social Behavior, Vol. 32, No. 3 (Sep., 1991), pp. 288-301.

[97] Harrison và cộng sự, (1997), “System and Behavioral Research Science”,

Wiley online library

[98] Hendrickson, A.R., and P.D. Latta (1996) “An Evaluation of the Reliability and Validity of Davis‟s Perceived Usefulness and Perceived Ease of Use Instrument” Journal of Computer Information Systems 36(3), pp.77-82.

[99] Hendrickson, A.R., P.D. Massey, and T.P. Cronan (1993) “On the Test-retest Reliability of Perceived Usefulness and Perceived Ease of Use Scales” MIS Quarterly 17(2), pp.227-230.

[100] Hair, J.F., Anderson, R.E., Tatham, R.L. & Black, W.C. (1998), Multivariate Data Analysis, 5th ed., Prentice-Hall, New Jersey.

[101] Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6 ed.): Prentice Hall.

[102] Hsu, M., Chiu, C., Internet self-efficacy and electronic service acceptance, Decision Support Systems 38 (2004) 369 – 381.

[103] Igbaria, M., T. Guimaraes, and G.B. Davis (1995a) “Testing the Determinants of Microcomputer Usage Via a Structural Equation Model” Journal of Management Information Systems 11(4), pp. 87-114Information and Management 38(2), pp.119-128.Information Systems Research 5(1), pp.23- 47.

[104] Irfan Bashir .,C. Madhavaiah., (2014)“Determinants of Young Consumers' Intention to Use Internet Banking Services in India” Vision-The Journal of Business Perspective 18(3):153-163 • September 2014.

[105] Karahanna, E.,Agarwal, R., Angst, M. C., (2006), “Reconceptualizing Compatibility Beliefs in Technology Acceptance Research”, MIS Quarterly 30(4):781-804, December 2006

[106] Karahanna, E., and D.W. Straub (1999b) “The Psychological Origins of Perceived Usefulness and Ease-of-use” Information and Management 35(4), pp.237-250.

[107] Karahanna, E., D.W. Straub, and N.L. Chervany (1999a) “Information

Technology Adoption across Time: A Cross-sectional Comparison of Pre- adoption and Post-adoption Beliefs” MIS Quarterly 23(2), pp.183-213.

[108] Kauer, M. ( 2012). identification as determining factor of technology acceptance for hedonic and dual use products, dissertation. Technischen Universitat Darmstads.

[109] Kettinger, W.,Lee, C. C., Perceived Service Quality and User Satisfaction with the Information Services Function, Decision Sciences 25(56):737 - 766 September 1994.

[110] Kesharwani, A.,Tripathy, T., (2012) Dimensionality of Perceived Risk and Its Impact on Internet Banking Adoption: An Empirical Investigation, Services Marketing Quarterly 33(2):177-193 • April 2012.

[111] Kesharwani, A.,Bisht,S. S., (2012)The impact of trust and perceived risk on Internet banking adoption in India, International Journal of Bank Marketing 30(4):303-322 • June 2012

[112] Khaled M. S. Faqih (2013) Exploring the Influence of Perceived Risk and internet self-efficacy on Consumer Online Shopping intentions: Perpective of Technology Acceptance Model, International Management Review, Vol.9 No.1 2013.

[113] Kline, P. (1994), „An Easy Guide to Factor Analysis‟, Routledge, New York.

[114] Kotler, P., (1990) “Marketing management”, Prentice Hall.

[115] Lavee, Y.,(1998) Linear Structural Relationships (LISREL) in Family Research, Journal of Marriage and Family, Vol. 50, No. 4 (Nov., 1988), pp. 937-948.

[116] Lee, D., J. Park, and J. Ahn (2001) “On the Explanation of Factors Affecting E-commerce Adoption” Proceedings of the 22nd International Conference on Information Systems, pp.109- 120.

[117] Lee, Y., Kozar, K.A., Larsen, K.R.T. (2003): The technology acceptance model:past,present,andfuture.Commun.Assoc.Inf.Syst. 12(50), 752–780.

[118] Lee, Y., Lee, J., and Lee, Z. (2001) “The Effect of Self-identity and Social- identify on Technology Acceptance” Proceedings of the International Conference on Information Systems (ICIS).

[119] Legris, P., J. Ingham, and P. Collerette (2003) “Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model” Information & Management (40), pp.191-204.

[120] Liao, C.,Jian-Liang Chen, J.,Yen, David C., (2007), “Yen 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,

November 2007

[121] Littler & Melanthiou, (2006). “Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: The case of Internet Banking”, Journal of Retailing and Consumer Services 13(6):431-443.

[122] Lorence, J., Mortimer, J. T., (1985) Job Involvement Through the Life Course: A Panel Study of Three Age Groups,American Sociological Review, Vol. 50, No. 5 (Oct., 1985), pp. 618-638.

[123] Lu, J., Yu, C., Liu, C., Yao, J. E (2003) "Technology acceptance model for wireless Internet", Internet Research, Vol. 13 Issue: 3, pp.206-222.

[124] Marangunié, Nikola, and Andrina Granié (2013) "Technology acceptance model: a literature review from 1986 to 2013." Long paper, Springer, 83 - 85.

[125] Mathieson, K. (1991) “Predicting User Intentions Comparing the Technology Acceptance Model with the Theory of Planned Behavior“ Information Systems Research 2(3), pp.173-191.

[126] Mathieson,K., E. Peacock, and W.W. Chin (2001) “Extending the Technology Acceptance Model: The Influence of Perceived User Resources” Data Base 32(3), pp. 86-112.

[127] McKnight, D.H., Choudhury, V. and Kacmar, C. (2002) The Impact of Initial Consumer Trust on Intentions to Transact with a Web Site: A Trust Building Model. The Journal of Strategic Information Systems, 11, 297-323.

[128] Moon, J., and Y.Kim (2001) “ Extending the TAM for a World-Wide-Web context” Information and Management 38 (4), pp.217-230.

[129] Morris, M.G., Dillon,A., How user perceptions influence software use IEEE Software 14(4):58 - 65 • August 1997

[130] Nguyen Thanh Duy, Cao Hao Thi (2014) Structural Model for Adoption and Usage of E-Banking in Vietnam, JED No. 220. April

[131] Nikola Marangunie, Andrina Granie(2013), The acceptance model: A literature review from 1986 to 2013, Long paper

[132] Noel Capon (2009), “Capon's Marketing Framework” Wessex, 2009

[133] Nunnally, J.C. & Bernstein, I.H. (1994), Psychometric Theory, 3rd ed., McGraw-Hill, Inc., New York, NY.

[134] Nyoro, M., và cộng sự. (2015). Review of technology acceptance model usage in predicting e-commerce adoption. International journal of application of innovation in engineering management (IJAIEM) , Vol.4, issue 1, pp. 46 - 48.

[135] Park, Jinsoo, Dongwon Lee, and Joongho Ahn (2004) "Risk-Focused E- Commerce Adoption Model: A Cross-Country Study." Journal of global information technology management, 2004: 6.

[136] Park,Y.,Chen, J. V., (2007) "Acceptance and adoption of the innovative use of smartphone", Industrial Management & Data Systems, Vol. 107 Issue: 9, pp.1349-1365.

[137] Pavlou, P. A (2003)"Consumer acceptance of electronic commer- Intergrating trust and risk with the technology acceptance model." International journal of electrinic commerce, Vol. 7, no.3, pp 69-103.

[138] Peterson, R. A. (1994). A Meta-Analysis of Cronbach‟s Coefficient Alpha. Journal of Consumer Research, 21, 381-391.

[139] Pikkarainen (2004), “consumer acceptance of online banking: an extension of the technology acceptance model”, Internet research, Vol.14 Issue:3, PP 224- 235.

[140] Podder, B. (2005), “Factors Influencing the Adoption and Uageof Internet Banking: A New Zealand Perspective”, doctoral dissertation, New Zealand.

[141] Porter, M., (1980)“Competitive strategy.” New York: Free press, 1980.

[142] Quan, V.D.H., Nam, T.H., (2017), “Developing credit card market from Vietnamese consumers‟ perspective Journal of Science, S. 1 (2017).

[143] Rao, H. S., Troshani, I. (2007),“A conceptual framework and propositions for the acceptance of mobile services” Journal of Theoretical and Applied Electronic Research, 2007; 2(2):61-73.

[144] Riyadh and Akter,(2009), “The Adoption of E-banking in Developing Countries: A Theoretical Model for SMEs”, International Review of Business Research Papers Vol. 5 No. 6 November 2009, Pp.212-230

[145] Roger, E. (1995), Diffusion of innovations, Free Press, New York.

[146] Segars, A. and Grover, V. (1993) Re-Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis. MIS Quarterly, 17, 517-525.

[147] Schumacker, R. E., & Lomax, R. G. (1996). A beginner's guide to structural equation modeling. Hillsdale, NJ, US: Lawrence Erlbaum Associates, Inc.

[148] Shengnan Han(2003), Individual adoption of information systems in organisations: A literature review of technology acceptance model, Turku Centre of Computer Science TUCSTechnical Report No 540.

[149] Shih,H., (2004),“Extendedtechnologyacceptancemodelofinternet utilization behavior”. Inf. Manag. 41(6), 719–729 (2004).

[150] Shih, Y.,Fang, K.,(2004) "The use of a decomposed theory of planned behavior to study Internet banking in Taiwan", Internet Research, Vol. 14 Issue: 3, pp.213-223,

[151] Slater, S. (1995). Issues in Conducting Marketing Strategy Research. Journal of Strategic Marketing, 3(4), 257-270.

[152] Solomon, M.R.,(1996)Consumer Behavior: Buying, Having, and Being,

Prentice-Hall, 1996 - 682 trang

[153] Suh, B., & Han, I., (2002) effect of trust on customer acceptance of Internet banking Electronic Commerce Research and Applications 1 (2002) 247–263.

[154] Sukkar, A.A.,Hasan,H., Toward a model for the acceptance of Internet banking in developing countries, First published: 19 October 2005

[155] Tan, M., and Teo, (2000) "Factors Influencing the Adoption of Internet Banking," Journal of the Association for Information Systems: Vol. 1 : Iss. 1

, Article 5.

[156] Steiger, H.J., (1990) Structural Model Evaluation and Modification: An Interval Estimation Approach, Multivariate Behavioral Research, 25:2, 173- 180.

[157] Takele, Y., & Sira, Zeleke, (2013), An analysis of factor influencing customers‟s intention to the adoption of E- banking service channels in Bahir Dar city: An integration of TAM, TPB and PR, European Scientific Journal May 2013 edition vol.9, No.13 ISSN: 1857 – 7881 (Print) e - ISSN 1857- 7431

[158] Taylor &Todd (2001), “ Decomposition and Cross Effects in the Theory of Planned Behavior: A Study of Consumer Adoption Intentions”. International Journal of Research in Marketing 12, 137-155

[159] Taylor,S.,Todd,P. (1995), “Understandinginformationtechnology usage: a test of competing models” Inf. Syst. Res. 6(2), 144–176.

[160] Taylor, S., and P.A. Todd (1995b) “Understanding Information Technology Usage: A Test of Competing Models” Information Systems Research 6(2), pp.145-176.

[161] Taylor, S.A., Sharland, A., Cronin, J.J., Bullard, W.,(1993) "Recreational Service Quality in the International Setting", International Journal of Service Industry Management, Vol. 4 Issue: 4, pp.68-86.

[162] Teo và cộng sự (1999) “Intrinsic and Extrinsic Motivation in Internet Usage”

Omega 27, pp.25-37.

[163] Tharenou, P.,Latimer, S.,Conroy, D., (1994), “How do you Make it to the Top? An Examination of Influences on Women's and Men's”,Managerial Advancement Academy of Management Journal Vol. 37, No. 4.

[164] Venkatesh & cộng sự (2003) “User Acceptance of Information Technology:Toward a Unified View” MIS Quarterly 27(3), pp. 425-478.

[165] 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), pp.342-365.

[166] Venkatesh, V., and F.D. Davis (1996) “A Model of the Antecedents of Perceived Ease of Use Development and Test” Decision Sciences 27(3), pp.451-481.

[167] Venkatesh, V., and F.D. Davis (2000) “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies” Management Science46(2), pp. 186-204.

[168] Venkatesh, V., and M.G. Morris (2000) “Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior” MIS Quarterly 24(1), pp.115-139.

[169] Venkatesh, V., and S. Brown (2001) “A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges” MIS Quarterly 25(1), pp.71-102.

[170] Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis (2003) “User Acceptance of Information Technology:Toward a Unified View” MIS Quarterly 27(3), pp. 425-478.

[171] Venkatesh, V., M.G. Morris, and P.L.Ackerman (2000) “A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision Making Processes” Organizational Behavior and Human Decision

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