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2020 | 16 | nr 3 | 29--50
Tytuł artykułu

Expanding TAM and Investigating the Factors that Effect Consumer Intention to Adopt Mobile Banking in Palestine

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Purpose The main objective of this study is to expand the technology acceptance model (TAM) by examining the factors affecting the adoption of mobile banking services by the customers of Palestinian banks and to design a comprehensive model based on TAM and TPB and additional constructs. Design/methodology/approach This study used the quantitative approach with cross sectional research design and a questionnaire as a data tool. From the six big cities in Palestine, we surveyed 1000 banking consumers. The samples include different characteristics. For construct relationship analysis this study applied partial least squares (PLS). Findings The study framework provides a complete view of mobile banking services. This framework takes into consideration more determinants for prediction than other studies on the adoption of innovations. The results of using this model managed to clarify nearly 77.4 percent of the dependent variable (intention to adopt mobile banking service) variation. This is a much greater value than those of the previous studies. Moreover, this study found that the perceived risk has a negative effect on consumers' intention to use mobile banking services. Attitude, facilitating conditions, perceived ease of use, website usability, and perceived trust were identified as the important variables that have a significant positive effect on the consumers' intention to use mobile banking services in Palestine. Originality/value - the findings can be used by financial institutions and banks to enhance the usage rate of consumers' adoption and to develop their strategies. (original abstract)
Opis fizyczny
  • Gaza University, , Palestine
  • Abbad, M.M. (2013). E-banking in Jordan. Behaviour and Information Technology, 32(7), 681-694.
  • Aboelmaged, M.G., Gebba, T.R. (2013). Mobile Banking Adoption : An Examination of Technology Acceptance Model and Theory of Planned Behavior. International Journal of Business Research and Development, 2(1), 35-50. 9_12
  • Aboobucker, I., Bao, Y. (2018). What Obstructs Customer Acceptance of Internet Banking? Security and Privacy, Risk, Trust and Website Usability and the Role of Moderators. Journal of High Technology Management Research, (xxxx), 0-1.
  • Adams, D.A., Nelson, R.R., Todd, P.A. (1992). Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication. MIS Quarterly, 227-247.
  • Ahmad, A.M.K., Al-Zu'bi, H.A. (2011). E-banking Functionality and Outcomes of Customer Satisfaction: an Empirical Investigation. International Journal of Marketing Studies, 3(1), 50.
  • Ajzen, I., Fishbein, M. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
  • Ajzen, I., Fishbein, M. (1977). Attitude-behavior Relations: A Theoretical Analysis and Review of Empirical Research. Psychological Bulletin, 84(5), 888-918.
  • Ajzen, I., Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour.
  • Akhlaq, A., Ahmed, E. (2013). The Effect of Motivation on Trust in the Acceptance of Internet Banking in a Low Income Country. International Journal of Bank Marketing, 31(2), 115-125.
  • Akturan, U., Tezcan, N. (2012). Mobile Banking Adoption of the Youth Market: Perceptions and Intentions. Marketing Intelligence & Planning, 30(4), 444- 459.
  • Al-Gahtani, S.S. (2011). Modeling the Electronic Transactions Acceptance Using an Extended Technology Acceptance Model. Applied Computing and Informatics, 9(1), 47-77.
  • Al-Qeisi, K.I. (2009). Analyzing the Use of UTAUT Model in Explaining an Online Behaviour: Internet Banking Adoption. Brunel University Brunel Business School PhD Theses.
  • Al-Somali, S.A., Gholami, R., Clegg, B. (2009). An Investigation into the Acceptance of Online Banking in Saudi Arabia. Technovation, 29(2), 130-141.
  • Al- Sukkar, A.S. (2005). The Application of Information Systems in the Jordanian Banking Sector: a Study of the Acceptance of the Internet.
  • Alalwan, Ali A, Dwivedi, Y.K., Rana, N.P., & Simintiras, A.C. (2016). Jordanian Consumers' Adoption of Telebanking: Influence of Perceived Usefulness, Trust and Self-efficacy. International Journal of Bank Marketing, 34(5), 690-709.
  • Alalwan, Ali Abdallah, Dwivedi, Y.K., Rana, N.P., Algharabat, R. (2018). Examining Factors Influencing Jordanian Customers' Intentions and Adoption of Internet Banking: Extending UTAUT2 with Risk. Journal of Retailing and Consumer Services, 40 (July), 125- 138.
  • Alam, S.S., Yasin, N.M. (2010). An Investigation into the Antecedents of Customer Satisfaction of Online Shopping. Journal of Marketing Development and Competitiveness, 5(1), 71-78.
  • Aldás-Manzano, J., Lassala-Navarré, C., Ruiz-Mafé, C., Sanz-Blas, S. (2009). Key Drivers of Internet Banking Services Use. Online Information Review, 33(4), 672- 695.
  • Balasubramanian, S., Konana, P., Menon, N.M. (2003). Customer Satisfaction in Virtual Environments: A study of Online Investing. Management Science, 49(7), 871-889.
  • Barnes, S.J., Vidgen, R.T. (2002). An Integrative Approach to the Assessment of E-commerce Quality. J. Electron. Commerce Res., 3(3), 114- 127.
  • Bashir, I., Madhavaiah, C. (2015). Consumer Attitude and Behavioural Intention Towards Internet Banking Adoption in India. Journal of Indian Business Research, 7(1), 67-102.
  • Boonsiritomachai, W., Pitchayadejanant, K. (2018). Determinants Affecting Mobile Banking Adoption by Generation Y Based on the Unified Theory of Acceptance and Use of Technology Model Modified by the Technology Acceptance Model concept. Kasetsart Journal of Social Sciences, 1-10.
  • Brislin, R.W. (1976). Comparative Research Methodology: Cross-cultural Studies. International Journal of Psychology, 11(3), 215-229.
  • Casaló, L.V, Flavián, C., Guinal\'\iu, M. (2008). The Role of Satisfaction and Website Usability in Developing Customer Loyalty and Positive Word-of-mouth in the E-banking Services. International Journal of Bank Marketing, 26 (6), 399-417.
  • Çelik, H. (2008). What Determines Turkish Customers' Acceptance of Internet Banking? International Journal of Bank Marketing, 26(5), 353-370.
  • Chaouali, W., Ben Yahia, I., Souiden, N. (2016). The Interplay of Counter-conformity Motivation, Social Influence, and Trust in Customers' Intention to Adopt Internet Banking Services: The Case of an Emerging Country. Journal of Retailing and Consumer Services, 28, 209- 218.
  • Chen, C. (2013). Perceived Risk, Usage Frequency of Mobile Banking Services. Managing Service Quality: An International Journal, 23(5), 410-436.
  • Cheng, T.C.E., Lam, D.Y.C., Yeung, A.C.L. (2006). Adoption of Internet Banking: an Empirical study in Hong Kong. Decision Support Systems, 42(3), 1558-1572.
  • Chin, W.W., Marcolin, B.L., Newsted, P.R. (2003). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-mail Emotion/adoption Study. Information Systems Research, 14(2), 189-217.
  • Chiou, J.-S., Shen, C.-C. (2012). The Antecedents of Online Financial Service Adoption: the Impact of Physical Banking Services on Internet Banking Acceptance. Behaviour & Information Technology, 31(9), 859-871.
  • Chua, E.K. (1980). Consumer Intention to Deposit at Banks: An Empirical Investigation of its Relationship with Attitude, Normative Belief and Confidence. Academic Exercise, Faculty of Business Administration, National University of Singapore.
  • Crabbe, M., Standing, C., Standing, S., Karjaluoto, H. (2009). An Adoption Model for Mobile Banking in Ghana. International Journal of Mobile Communications, 7(5), 515-543.
  • Cruz, P., Barretto Filgueiras Neto, L., Munoz-Gallego, P., Laukkanen, T. (2010). Mobile Banking Rollout in Emerging Markets: Evidence from Brazil. International Journal of Bank Marketing, 28(5), 342-371.
  • Currall, S.C., Judge, T.A. (1995). Measuring Trust between Organizational Boundary Role Persons. Organizational Behavior and Human Decision Processes, 64(2), 151-170.
  • Dapp, T., Slomka, L. (2015). Fintech Reloaded--Traditional Banks as Digital Ecosystems. Publication of the German Original.
  • Davis, F.D. (1989). Information Technology Introduction, 13(3), 319-340.
  • Davis, F.D., Bagozzi, R.P., Warshaw, P.R. (1989). User Acceptance of Computer Technology: a Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
  • Deng, Z., Lu, Y., Wang, B., Zhang, J., Wei, K.K. (2010). An Empirical Analysis of Factors Influencing Users' Adoption and Use of Mobile Services in China. International Journal of Mobile Communications, 8(5), 561- 585.
  • Di Benedetto, C.A., Calantone, R.J., Zhang, C. (2003). International Technology Transfer: Model and Exploratory Study in the People's Republic of China. International Marketing Review, 20(4), 446- 462.
  • Dineshwar, R., Steven, M. (2013). An Investigation on Mobile Banking Adoption and Usage: A Case Study of Mauritius. Proceedings of 3rd Asia-Pacific Business Research Conference, 3(February), 1- 21.
  • Faqih, K.M.S., Jaradat, M.I.R.M. (2015). Assessing the Moderating Effect of Gender Differences and Individualism-collectivism at Individual-level on the Adoption of Mobile Commerce Technology: TAM3 Perspective. Journal of Retailing and Consumer Services, 22, 37-52.
  • 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.
  • Gefen, D., Benbasat, I., Pavlou, P. (2008). A Research Agenda for Trust in Online Environments. Journal of Management Information Systems, 24(4), 275-286.
  • Gefen, Karahanna, & Straub. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51.
  • Giovanis, A.N., Binioris, S., Polychronopoulos, G. (2012). An Extension of TAM Model with IDT and Security/privacy Risk in the Adoption of Internet Banking Services in Greece. EuroMed Journal of Business, 7(1), 24-53.
  • Grabner-Kraeuter, S. (2002). The Role of Consumers' Trust in Online-shopping. Journal of Business Ethics, 39(1-2), 43-50.
  • Grabner-Kräuter, S., Faullant, R. (2008). Consumer Acceptance of Internet Banking: the Influence of Internet Trust. International Journal of Bank Marketing, 26(7), 483-504.
  • Gulamhuseinwala, I., Bull, T., Lewis, S. (2015). FinTech is Gaining Traction and Young, High-income Users are the Early Adopters.
  • Ha, K.-H., Canedoli, A., Baur, A. W., Bick, M. (2012). Mobile Banking-Insights on its Increasing Relevance and Most Common Drivers of Adoption. Electronic Markets, 22(4), 217-227.
  • Hair Jr, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLSSEM). Sage Publications.
  • Hanafizadeh, P., Keating, B.W., Khedmatgozar, H.R. (2014). A Systematic Review of Internet Banking Adoption. Telematics and Informatics.
  • Hartwick, J., Barki, H. (1994). Explaining the Role of User Participation in Information System Use. Management Science, 40 (4), 440-465.
  • Hasbullah, N.A., Osman, A., Abdullah, S., Salahuddin, S.N., Ramlee, N.F., Soha, H.M. (2016). The Relationship of Attitude, Subjective Norm and Website Usability on Consumer Intention to Purchase Online: An Evidence of Malaysian Youth. Procedia Economics and Finance, 35, 493-502.
  • Hassan, I., Mansour, F., Eljelly, A.M.A., & Abdullah, A. M. A. (2016). Review of International Business and Strategy For Authors Consumers' Attitude Towards E-banking Services in Islamic Banks: the Case of Sudan. International Business and Strategy Iss, 26(2), 244-260.
  • Hayes, A.F. (2013). Modellübersicht Mediation/Moderation (process-macro).
  • Henseler, J., Ringle, C.M., Sinkovics, R.R. (2009). The Use of Partial Least Squares Path Modeling in Iternational Marketing. In: New challenges to international marketing (pp. 277-319). Emerald Group Publishing Limited.
  • Hoehle, H., Scornavacca, E., Huff, S. (2012). Three Decades of Research on Consumer Adoption and Utilization of Electronic Banking Channels: A Literature Analysis. Decision Support Systems, 54(1), 122-132.
  • Hong, S.- J., Thong, J.Y.L., Moon, J.-Y., Tam, K.-Y. (2008). Understanding the Behavior of Mobile Data Services Consumers. Information Systems Frontiers, 10(4), 431.
  • Im, S., Mason, C.H., Houston, M.B. (2007). Does Innate Consumer Innovativeness Relate to New Product/service Adoption Behavior? The Intervening Role of Social Learning via Vicarious Innovativeness. Journal of the Academy of Marketing Science, 35(1), 63- 75.
  • Jaruwachirathanakul, B., Fink, D. (2005). Internet Banking Adoption Strategies for a Developing Country: the Case of Thailand. Internet Research, 15(3), 295-311.
  • Jouda, H., Abu, A., Obaid, T., Abu, S., Awaja, A. (2020). Mobile Banking Adoption : Decomposed Theory of Planned Behavior with Perceived Trust, 1-10.
  • Jouda, H.M., Raju, V. (2018). The Role of Trust on Consumer Intention Towards Mobile Banking in Palestine, 3(9), 203-210.
  • Kesharwani, A., Singh Bisht, S. (2012). The Impact of Trust and Perceived Risk on Internet Banking Adoption in India: An Extension of Technology Acceptance Model. International Journal of Bank Marketing, 30(4), 303-322.
  • 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.
  • Khalifa, M., Shen, K.N. (2008). Drivers for Transactional B2C M-commerce Adoption: Extended Theory of Planned Behavior. Journal of Computer Information Systems, 48(3), 111-117.
  • Khrewesh, A.H. (2011). E-banking Adoption Model in Palestine, 1-208. Retrieved from
  • Koenig-Lewis, N., Palmer, A., Moll, A. (2010). Predicting Young Consumers' Take up of Mobile Banking Services. International Journal of Bank Marketing, 28(5), 410-432.
  • Kuisma, T., Laukkanen, T., & Hiltunen, M. (2007). Mapping the Reasons for Resistance to Internet Banking: A Means-end Approach. International Journal of Information Management, 27 (2), 75-85.
  • Laforet, S., Li, X. (2005). Consumers' Attitudes Towards Online and Mobile Banking in China. International Journal of Bank Marketing, 23(5), 362-380.
  • Law, K. (2007). Impact of Perceived Security on Consumer Trust in Online Banking. Thesis.
  • Lean, O.K., Zailani, S., Ramayah, T., Fernando, Y. (2009). Factors Influencing Intention to Use E-government Services Among Citizens in Malaysia. International Journal of Information Management, 29(6), 458-475.
  • Lee, K.C., Chung, N. (2009). Understanding Factors Affecting Trust in and Satisfaction with Mobile Banking in Korea: A Modified DeLone and McLean's Model Perspective. Interacting with Computers, 21(5-6), 385-392.
  • Lee, M.-C. C. (2009). Factors Influencing the Adoption of Internet Banking: An Integration of TAM and TPB with Perceived Risk and Perceived Benefit. Electronic Commerce Research and Applications, 8(3), 130-141.
  • Liang, C.C. (2016). Subjective Norms and Customer Adoption of Mobile Banking: Taiwan and Vietnam. In: Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2016-March, pp. 1577-1585).
  • Liao, C.-H., Rebecca Yen, H., Li, E.Y. (2011). The Effect of Channel Quality Inconsistency on the Association between E-service Quality and Customer Relationships. Internet Research, 21(4), 458-478.
  • Liébana-Cabanillas, F., Sánchez-Fernández, J., Muñoz-Leiva, F. (2014). The Moderating Effect of Experience in the Adoption of Mobile Payment Tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34(2), 151-166.
  • Liébana Cabanillas, F.J. (2012). El papel de los sistemas de pago en lo nuevos entornos electrónicos. Granada: Universidad de Granada.
  • Lin, H.-F. (2011). An Empirical Investigation of Mobile Banking Adoption: The Effect of Innovation Attributes and knowledge- based trust. International Journal of Information Management, 31(3), 252-260.
  • 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.
  • Maitah, M., Hodrab, R. (2015). An Empirical Study of Critical Factors of Electronic Banking Adoption for Banking Sector in Palestine. Modern Applied Science, 9(9), 78-92.
  • Martins, C., Oliveira, T., Popovič, 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.
  • Maruping, L.M., Bala, H., Venkatesh, V., Brown, S.A. (2017). Going Beyond Intention: Integrating Behavioral Expectation into the Unified Theory of Acceptance and Use of Technology. Journal of the Association for Information Science and Technology, 68(3), 623- 637.
  • Mehrad, D., Mohammadi, S. (2017). Word of Mouth Impact on the Adoption of Mobile Banking in Iran. Telematics and Informatics, 34(7), 1351-1363.
  • Mishra, V., Bisht, S.S. (2013). Mobile Banking in a Developing Economy: A Customer-centric Model for Policy Formulation. Telecommunications Policy, 37(6-7), 503-514.
  • Montazemi, A.R., Qahri-Saremi, H. (2015). Factors Affecting Adoption of Online Banking: A Meta-analytic Structural Equation Modeling Study. Information & Management, 52(2), 210-226.
  • Mukherjee, R., Kumar, R., Sinha, A., Lama, Y., Saha, A.K. (2016). A Review on Synthesis, Characterization, and Applications of Nano Zero Valent Iron (nZVI) for Environmental Remediation. Critical Reviews in Environmental Science and Technology, 46(5), 443-466.
  • Mukhtar, M. (2015). Perceptions of UK Based Customers Toward Internet Banking in the United Kingdom. Journal of Internet Banking and Commerce, 20(1).
  • Nasri, W., Charfeddine, L. (2012). Factors Affecting the Adoption of Internet Banking in Tunisia: An Integration Theory of Acceptance Model and Theory of Planned Behavior. The Journal of High Technology Management Research, 23(1), 1-14.
  • Nor, K.M., Pearson, J.M. (2008). An Exploratory Study into the Adoption of Internet Banking in a Developing Country: Malaysia. Journal of Internet Commerce, 7(1), 29-73.
  • Nor, K.M., Shanab, E.A.A., Pearson, J.M. (2008). Internet Banking Acceptance in Malaysia based on the Theory of Reasoned Action. JISTEM-Journal of Information Systems and Technology Management, 5(1), 3-14.
  • Nor, K. M., Sutanonpaiboon, J., Mastor, N.H. (2010). Malay, Chinese, and Internet Banking. Chinese Management Studies, 4(2), 141-153.
  • Oliveira, T., Thomas, M., & Espadanal, M. (2014). Information & Management Assessing the Determinants of Cloud Computing Adoption: An Analysis of the Manufacturing and Services Sectors. Information & Management, 51(5), 497-510.
  • Papies, D., Clement, M. (2008). Adoption of New Movie Distribution Services on the Internet. Journal of Media Economics, 21(3), 131-157.
  • Phonthanukitithaworn, C., Sellitto, C., Fong, M. (2015). User Intentions to Adopt Mobile Payment Services: A Study of Early Adopters in Thailand. Journal of Internet Banking and Commerce, 20(1).
  • Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer Acceptance of Online Banking: an Extension of the Technology Acceptance Model. Internet Research, 14(3), 224-235.
  • Poon, W.-C. (2007). Users' Adoption of E-banking Services: the Malaysian Perspective. Journal of Business & Industrial Marketing, 23(1), 59- 69.
  • Püschel, J., Afonso Mazzon, J., Mauro, C. Hernandez, J. (2010). Mobile Banking: Proposition of an Integrated Adoption Intention Framework. International Journal of Bank Marketing, 28(5), 389-409.
  • Ram, S., Sheth, J.N. (1989). Consumer Resistance to Innovations: the Marketing Problem and its Solutions. Journal of Consumer Marketing, 6(2), 5-14.
  • Riffai, M., Grant, K., Edgar, D. (2012). Big TAM in Oman: Exploring the Promise of On-line Banking, its Adoption by Customers and the Challenges of Banking in Oman. International Journal of Information Management, 32 (3), 239-250.
  • Rodrigues, L.F., Oliveira, A., Costa, C.J. (2016). Does Ease-of-use Contributes to the Perception of Enjoyment? A Case of Gamification in E-banking. Computers in Human Behavior, 61, 114- 126.
  • Rogers, E.M. (2003). Diffusion of Innovations Theory. New York: Free Press, 5th ed.
  • Shaikh, A. A., & Karjaluoto, H. (2014). Mobile Banking Adoption: A Literature Review. Telematics and Informatics, 32(1), 129-142.
  • Sharma, S.K., Govindaluri, S.M., Muharrami, S.M., Tarhini, A. (2017). A Multi-analytical Model for Mobile Banking Adoption: a Developing Country Perspective. Review of International Business and Strategy, 27(1), 133-148.
  • Slade, E.L., Dwivedi, Y.K., Piercy, N.C., Williams, M.D. (2015). Modeling Consumers' Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 32(8), 860-873.
  • Sohail, M.S., Al-Jabri, I.M. (2014). Attitudes Towards Mobile Banking: Are There any Differences between Users and Non-users? Behaviour and Information Technology, 33 (4), 335-344.
  • Suh, B., Han, I. (2002). Effect of Trust on Customer Acceptance of Internet Banking. Electronic Commerce Research and Applications, 1(3-4), 247-263.
  • Suh, B., Han, I. (2003). The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce. International Journal of Electronic Commerce, 7(3), 135-161.
  • Sum Chau, V., Ngai, L.W.L.C. (2010). The Youth Market for Internet Banking Services: Perceptions, Attitude and behaviour. Journal of Services Marketing, 24(1), 42-60.
  • Sun, H., Zhang, P. (2006). The Role of Moderating Factors in User Technology Acceptance. International Journal of Human Computer Studies, 64(2), 53-78.
  • Tan, K.S., Chong, S.C., Loh, P.L., Lin, B. (2010). An Evaluation of E-banking and M-banking Adoption Factors and Preference in Malaysia: a Case Study. International Journal of Mobile Communications, 8(5), 507-527.
  • Taylor, S., Todd, P. (1995). Assessing IT Usage : The Role of Prior Experience The Influence of Prior Experience. Management Information Systems, 19(December), 561-570.
  • Teo, T.S.H., Pok, S.H. (2003). Adoption of WAP- enabled Mobile Phones Among Internet Users. Omega, 31(6), 483-498.
  • 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., Thong, J. Y. L., & 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. 4560.1981.tb02627.x
  • Viswanath Venkatesh Michael G. Morris, G. B. D. F. D. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. Retrieved from
  • Viswanath Venkatesh Michael G. Morris, G.B.D.F.D.D., 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), 425-478.
  • Walker, R.H., Johnson, L.W. (2006). Why Consumers Use and do not Use Technology-enabled Services. Journal of Services Marketing, 20(2), 125-135.
  • Wang, Y.-S., Wang, Y.-M., Lin, H.-H., Tang, T.-I. (2018). Determinants of user Acceptance of Internet Banking: an Empirical Study. International Journal of Service Industry Management, 14(5), 501-519.
  • Weir, C.S., Douglas, G., Carruthers, M., Jack, M. (2009). User Perceptions of security, Convenience and Usability for Ebanking Authentication Tokens. Computers and Security, 28(1-2), 47-62.
  • Ya-Yueh, S., Fang, K. (2004). The Use of a Decomposed Theory of Planned Behavior to Study Internet Banking in Taiwan. Internet Research, 14(3), 213-223.
  • Yang, J., Whitefield, M., Bhanot, R. (2005). E-banking in Rural Area-recent Trend and Development: a Case Study. Communications of the IIMA, 5(4), 9.
  • Yoon, H.S., Steege, L.M.B. (2013). Development of a Quantitative Model of the Impact of Customers' Personality and Perceptions on Internet Banking Use. Computers in Human Behavior, 29(3), 1133-1141.
  • Yousafzai, S., Pallister, J., Foxall, G. (2009). Multi-dimensional Role of Trust in Internet Banking Adoption. The Service Industries Journal, 29(5), 591-605.
  • Yu, P.L., Balaji, M.S., Khong, K.W. (2015). Building Trust in Internet Banking: a Trustworthiness Perspective. Industrial Management & Data Systems, 115(2), 235-252.
  • Yuen, Y.Y., Yeow, P.H., Lim, N. (2015). Internet Banking Acceptance in the United States and Malaysia: a Cross-cultural Examination. Marketing Intelligence & Planning, 33(3), 292-308. 0126
  • Zhou, T. (2011). An Empirical Examination of Users' Post-adoption Behaviour of Mobile Services. Behaviour & Information Technology, 30(2), 241-250.
  • Zhou, T., Lu, Y., Wang, B. (2010). Integrating TTF and UTAUT to Explain Mobile Banking user Adoption. Computers in Human Behavior, 26(4), 760-767^
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