How to cite this paper
Usman, O., Monoarfa, T & Marsofiyati, M. (2020). E-Banking and mobile banking effects on customer satisfaction.Accounting, 6(6), 1117-1128.
Refrences
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Proces, 50(2), 179–211.
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/10.1108/JEIM-04-2015-0035
Celik, H. (2016). Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework. Asia Pacific Journal of Marketing and Logistics, 28(2), 278–307.
Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368.
Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of partial least squares (pp. 655–690). Springer.
Compeau, D. R., & Higgins, C. A. (1995a). Application of social cognitive theory to training for computer skills. Information Systems Research, 6(2), 118–143.
Compeau, D. R., & Higgins, C. A. (1995b). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.
Davis, F.D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, Fred D. (1989a). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Davis, Fred D. (1989b). Perceived usefulness , Perceived ease of use , and user acceptance. MIS Quarterly, 13(3), 319–339. https://doi.org/10.2307/249008
Davis, Fred D, Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of Applied Social Psychology, 22(14), 1111–1132.
Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12(2), 259–274.
Fishbein, M., & Ajzen, I. (1974). Attitudes towards objects as predictors of single and multiple behavioral criteria. Psychological Review, 81(1), 59.
Ganapathy, S., Ranganathan, C., & Sankaranarayanan, B. (2004). Visualization strategies and tools for enhancing customer relationship management. Communications of the ACM, 47(11), 92–99.
Gounaris, S., & Koritos, C. (2008). Investigating the drivers of internet banking adoption decision: A comparison of three alternative frameworks. International Journal of Bank Marketing, 26(5), 282–304.
Henderson, R. (1995). European retail banking: innovation strategies. International Journal of Business Studies, 3(1), 11–30.
Lee, M. 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. https://doi.org/10.1016/j.elerap.2008.11.006
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.
Mauro, C., Hernandez, J., & Afonso Mazzon, J. (2007). Adoption of internet banking: proposition and implementation of an integrated methodology approach. International Journal of Bank Marketing, 25(2), 72–88. https://doi.org/10.1108/02652320710728410
Momani, A. M., & Jamous, M. (2017). The Evolution of Technology Acceptance Theories.
Monecke, A., & Leisch, F. (2012). PLS: structural equation modeling using partial least squares.
Moore, G., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2, 192–222. https://doi.org/10.1287/isre.2.3.192
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.
Mukherjee, A., & Nath, P. (2003). A model of trust in online relationship banking. International Journal of Bank Marketing, 21(1), 5–15. https://doi.org/10.1108/02652320310457767
Ofori, K. S., Boakye, K. G., Addae, J. A., Ampong, G. O. A., & Adu, A. S. Y. (2017). An Empirical Study on the Adoption of Consumer-to-Consumer E-commerce: Integrating the UTAUT Model and the Initial Trust Model. International Conference on E-Infrastructure and e-Services for Developing Countries, 281–292. Springer.
Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44–65.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Sinisalo, J., & Karjaluoto, H. (2009). THE IMPACT OF MOBILE PHONE CAPABILITIES ON MOBILE SERVICE USAGE: EMPIRICAL EVIDENCE FROM FINLAND. International Journal of Mobile Marketing, 4(1).
Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18–31. https://doi.org/10.1108/YC-07-2015-00537
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon. Information Technology & People, 29(4), 830–849. https://doi.org/10.1108/ITP-02-2014-0034
Taylor, S., & Todd, P. (1995a). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561. https://doi.org/10.2307/249633
Taylor, S., & Todd, P. A. (1995b). Understanding information technology usage: A test of competing models. Information Systems Research, 6,144–176. https://doi.org/10.1287/isre.6.2.144
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48(1), 159–205. https://doi.org/10.1016/j.csda.2004.03.005
Teo, A.-C., Tan, G. W.-H., Ooi, K.-B., Hew, T.-S., & Yew, K.-T. (2015). The effects of convenience and speed in m-payment. Industrial Management & Data Systems, 115(2), 311–331. https://doi.org/10.1108/IMDS-08-2014-0231
Teo, A.-C., Tan, G. W.-H., Ooi, K.-B., & Lin, B. (2015). Why consumers adopt mobile payment? A partial least squares structural equation modelling (PLS-SEM) approach. International Journal of Mobile Communications, 13(5), 478–497.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 125. https://doi.org/10.2307/249443
Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 1, 28–45.
Triandis, H. C., McCusker, C., & Hui, C. H. (1990). Multimethod probes of individualism and collectivism. Journal of Personality and Social Psychology, 59(5), 1006.
Turban, E., King, D., Lee, J., & Liang, T. P. (2012). D. Turban (2012). Electronic Commerce 2012: A managerial and social networks perspective. Pearson.
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.
Venkatesh, V., & Speier, C. (1999). Computer technology training in the workplace: A longitudinal investigation of the effect of mood. Organizational Behavior and Human Decision Processes, 79(1), 1–28.
Venkatesh, V., Thong, J., & Xu, X. (2012a). Consumer acceptance and user of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.1111/j.1365-2729.2006.00163.x
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012b). Consumer Acceptance and Use of Information Technology : Extending the Unified Theory. MIS Quarterly, 36(1), 157–178. https://doi.org/10.1017/CBO9781107415324.004
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012c). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Wold, H. (1980). Model construction and evaluation when theoretical knowledge is scarce: Theory and application of partial least squares. In Evaluation of econometric models (pp. 47–74). Elsevier.
Wood, R., & Bandura, A. (1989). Social cognitive theory of organizational management. Academy of Management Review, 14(3), 361–384.
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. https://doi.org/10.1016/j.chb.2010.01.013
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan. Journal of Enterprise Information Management, 29(1), 118–139. https://doi.org/10.1108/JEIM-04-2015-0035
Celik, H. (2016). Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework. Asia Pacific Journal of Marketing and Logistics, 28(2), 278–307.
Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368.
Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of partial least squares (pp. 655–690). Springer.
Compeau, D. R., & Higgins, C. A. (1995a). Application of social cognitive theory to training for computer skills. Information Systems Research, 6(2), 118–143.
Compeau, D. R., & Higgins, C. A. (1995b). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.
Davis, F.D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, Fred D. (1989a). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Davis, Fred D. (1989b). Perceived usefulness , Perceived ease of use , and user acceptance. MIS Quarterly, 13(3), 319–339. https://doi.org/10.2307/249008
Davis, Fred D, Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of Applied Social Psychology, 22(14), 1111–1132.
Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12(2), 259–274.
Fishbein, M., & Ajzen, I. (1974). Attitudes towards objects as predictors of single and multiple behavioral criteria. Psychological Review, 81(1), 59.
Ganapathy, S., Ranganathan, C., & Sankaranarayanan, B. (2004). Visualization strategies and tools for enhancing customer relationship management. Communications of the ACM, 47(11), 92–99.
Gounaris, S., & Koritos, C. (2008). Investigating the drivers of internet banking adoption decision: A comparison of three alternative frameworks. International Journal of Bank Marketing, 26(5), 282–304.
Henderson, R. (1995). European retail banking: innovation strategies. International Journal of Business Studies, 3(1), 11–30.
Lee, M. 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. https://doi.org/10.1016/j.elerap.2008.11.006
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.
Mauro, C., Hernandez, J., & Afonso Mazzon, J. (2007). Adoption of internet banking: proposition and implementation of an integrated methodology approach. International Journal of Bank Marketing, 25(2), 72–88. https://doi.org/10.1108/02652320710728410
Momani, A. M., & Jamous, M. (2017). The Evolution of Technology Acceptance Theories.
Monecke, A., & Leisch, F. (2012). PLS: structural equation modeling using partial least squares.
Moore, G., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2, 192–222. https://doi.org/10.1287/isre.2.3.192
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.
Mukherjee, A., & Nath, P. (2003). A model of trust in online relationship banking. International Journal of Bank Marketing, 21(1), 5–15. https://doi.org/10.1108/02652320310457767
Ofori, K. S., Boakye, K. G., Addae, J. A., Ampong, G. O. A., & Adu, A. S. Y. (2017). An Empirical Study on the Adoption of Consumer-to-Consumer E-commerce: Integrating the UTAUT Model and the Initial Trust Model. International Conference on E-Infrastructure and e-Services for Developing Countries, 281–292. Springer.
Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44–65.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Sinisalo, J., & Karjaluoto, H. (2009). THE IMPACT OF MOBILE PHONE CAPABILITIES ON MOBILE SERVICE USAGE: EMPIRICAL EVIDENCE FROM FINLAND. International Journal of Mobile Marketing, 4(1).
Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18–31. https://doi.org/10.1108/YC-07-2015-00537
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon. Information Technology & People, 29(4), 830–849. https://doi.org/10.1108/ITP-02-2014-0034
Taylor, S., & Todd, P. (1995a). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4), 561. https://doi.org/10.2307/249633
Taylor, S., & Todd, P. A. (1995b). Understanding information technology usage: A test of competing models. Information Systems Research, 6,144–176. https://doi.org/10.1287/isre.6.2.144
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48(1), 159–205. https://doi.org/10.1016/j.csda.2004.03.005
Teo, A.-C., Tan, G. W.-H., Ooi, K.-B., Hew, T.-S., & Yew, K.-T. (2015). The effects of convenience and speed in m-payment. Industrial Management & Data Systems, 115(2), 311–331. https://doi.org/10.1108/IMDS-08-2014-0231
Teo, A.-C., Tan, G. W.-H., Ooi, K.-B., & Lin, B. (2015). Why consumers adopt mobile payment? A partial least squares structural equation modelling (PLS-SEM) approach. International Journal of Mobile Communications, 13(5), 478–497.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 125. https://doi.org/10.2307/249443
Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 1, 28–45.
Triandis, H. C., McCusker, C., & Hui, C. H. (1990). Multimethod probes of individualism and collectivism. Journal of Personality and Social Psychology, 59(5), 1006.
Turban, E., King, D., Lee, J., & Liang, T. P. (2012). D. Turban (2012). Electronic Commerce 2012: A managerial and social networks perspective. Pearson.
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.
Venkatesh, V., & Speier, C. (1999). Computer technology training in the workplace: A longitudinal investigation of the effect of mood. Organizational Behavior and Human Decision Processes, 79(1), 1–28.
Venkatesh, V., Thong, J., & Xu, X. (2012a). Consumer acceptance and user of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.1111/j.1365-2729.2006.00163.x
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012b). Consumer Acceptance and Use of Information Technology : Extending the Unified Theory. MIS Quarterly, 36(1), 157–178. https://doi.org/10.1017/CBO9781107415324.004
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012c). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Wold, H. (1980). Model construction and evaluation when theoretical knowledge is scarce: Theory and application of partial least squares. In Evaluation of econometric models (pp. 47–74). Elsevier.
Wood, R., & Bandura, A. (1989). Social cognitive theory of organizational management. Academy of Management Review, 14(3), 361–384.
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. https://doi.org/10.1016/j.chb.2010.01.013