How to cite this paper
Samar, S., Ghani, M & Alnaser, F. (2017). Predicting customer’s intentions to use internet banking: the role of technology acceptance model (TAM) in e-banking.Management Science Letters , 7(11), 513-524.
Refrences
AbuShanab, E., Pearson, J. M., & Setterstrom, A. J. (2010). Internet banking and customers' acceptance in Jordan: the unified model's perspective. Communications of the Association for Information Systems, 26(1), 23.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour.
Al-Ajam, A. S., & Md Nor, K. (2015). Challenges of adoption of internet banking service in Yemen. International Journal of Bank Marketing, 33(2), 178-194.
Al-Bakri, A. A., & Katsioloudes, M. I. (2015). The factors affecting e-commerce adoption by Jordanian SMEs. Management Research Review, 38(7), 726-749.
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.
Becker, S., Bryman, A., & Ferguson, H. (2012). Understanding research for social policy and social work: themes, methods and approaches: Policy Press.
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling: JSTOR.
Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Hillside. NJ: Lawrence Earlbaum Associates.
Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS quarterly, 145-158.
Comrey, A., & Lee, H. (1992). Afirst course infactor analysis. Hillsdale, NJ: Erlbaum.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263-282.
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.
Furst, K., Lang, W. W., & Nolle, D. E. (2002). Internet banking. Journal of Financial Services Research, 22(1-2), 95-117.
Gold, A. H., & Arvind Malhotra, A. H. S. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214.
Hair, J. F. (2003). Essentials of Business Research Methods: Wiley.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. . (2010). Multivariate Data Analysis 7.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.
Han, S.-L., & Baek, S. (2004). Antecedents and consequences of service quality in online banking: An application of the SERVQUAL instrument. ACR North American Advances, 31, 208-214.
Han, S. (2003). Individual adoption of information systems in organizations: A literature review of technology acceptance model. Turku Centre for Computer Science (TUCS).
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Academy of Marketing Science. Journal, 43(1), 115.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277-319.
Jayawardhena, C., & Foley, P. (2000). Changes in the banking sector–the case of Internet banking in the UK. Internet Research, 10(1), 19-31.
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.
Kline, R. (2011). Principles and Practice of Structural Equation Modeling, 3rd edn Guilford Press. New York.
Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations.
Kumar Sharma, S., & Madhumohan Govindaluri, S. (2014). Internet banking adoption in India: structural equation modeling approach. Journal of Indian Business Research, 6(2), 155-169.
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.
Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263-294.
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.
Ngah, A. H., Zainuddin, Y., & Thurasamy, R. (2015). Barriers and enablers in adopting of Halal warehousing. Journal of Islamic Marketing, 6(3), 354-376.
o’Reilly, P., & Finnegan, P. (2003). Internet banking systems: An exploration of contemporary issues. Journal of systems and information technology, 7(1/2), 93-110.
Rahi, S. (2015). Moderating role of brand image with relation to internet banking and customer loyalty: A case of branchless banking. The Journal of Internet Banking and Commerce, 20(3).
Rahi, S. (2016a). Impact of customer perceived value and customer’s perception of public relation on customer loyalty with moderating role of brand image. Journal of Internet Banking and Commerce, 21(2).
Rahi, S. (2016b). Impact of customer value, public relations perception and brand image on customer loyalty in services sector of Pakistan. Arabian Journal of Bussiness Management Review, S, 2, 2.
Rahi, S., & Ghani, M. (2016a). Internet banking, customer perceived value and loyalty: The role of switching costs. Journal of Accounting and Marketing, 5(2), 188.
Rahi, S., & Ghani, M. A. (2016b). Customers' perception of public relation in e-commerce and its impact on e-loyalty with brand image and switching cost. Journal of Internet Banking and Commerce, 21(3).
Rahi, S. (2017). Research design and methods: A systematic review of research paradigms, sampling issues and instruments development. International Journal of Economics & Management Sciences, 6(2).
Rahi, S., Yasin, N. M., & Alnaser, F. M. (2017). Measuring the role of website design, assurance, customer service and brand image towards customer loyalty and intention to adopt interent banking. The Journal of Internet Banking and Commerce, 22(S8).
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH.
Shanmugam, M., Wang, Y.-Y., Bugshan, H., & Hajli, N. (2015). Understanding customer perceptions of internet banking: the case of the UK. Journal of Enterprise Information Management, 28(5), 622-636.
Suleiman Awwad, M., & Mohammad Agti, D. A. (2011). The impact of internal marketing on commercial banks' market orientation. International Journal of Bank Marketing, 29(4), 308-332.
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., 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.
Wang, Y.-S., Wang, Y.-M., Lin, H.-H., & Tang, T.-I. (2003). Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management, 14(5), 501-519.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102.
Wu, S.-I. (2006). A comparison of the behavior of different customer clusters towards Internet bookstores. Information & Management, 43(8), 986-1001.
Yee-Loong Chong, A., Ooi, K.-B., Lin, B., & Tan, B.-I. (2010). Online banking adoption: an empirical analysis. International Journal of Bank Marketing, 28(4), 267-287.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. the Journal of Marketing, 60(2), 31-46.
Zhang, X., & Prybutok, V. R. (2005). A consumer perspective of e-service quality. IEEE transactions on Engineering Management, 52(4), 461-477.
Zhuang, Y., & Lederer, A. L. (2004). The impact of top management commitment, business process redesign, and IT planning on the business-to-consumer e-commerce site. Electronic Commerce Research, 4(4), 315-333.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour.
Al-Ajam, A. S., & Md Nor, K. (2015). Challenges of adoption of internet banking service in Yemen. International Journal of Bank Marketing, 33(2), 178-194.
Al-Bakri, A. A., & Katsioloudes, M. I. (2015). The factors affecting e-commerce adoption by Jordanian SMEs. Management Research Review, 38(7), 726-749.
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.
Becker, S., Bryman, A., & Ferguson, H. (2012). Understanding research for social policy and social work: themes, methods and approaches: Policy Press.
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling: JSTOR.
Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Hillside. NJ: Lawrence Earlbaum Associates.
Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS quarterly, 145-158.
Comrey, A., & Lee, H. (1992). Afirst course infactor analysis. Hillsdale, NJ: Erlbaum.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263-282.
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.
Furst, K., Lang, W. W., & Nolle, D. E. (2002). Internet banking. Journal of Financial Services Research, 22(1-2), 95-117.
Gold, A. H., & Arvind Malhotra, A. H. S. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214.
Hair, J. F. (2003). Essentials of Business Research Methods: Wiley.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. . (2010). Multivariate Data Analysis 7.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.
Han, S.-L., & Baek, S. (2004). Antecedents and consequences of service quality in online banking: An application of the SERVQUAL instrument. ACR North American Advances, 31, 208-214.
Han, S. (2003). Individual adoption of information systems in organizations: A literature review of technology acceptance model. Turku Centre for Computer Science (TUCS).
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Academy of Marketing Science. Journal, 43(1), 115.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277-319.
Jayawardhena, C., & Foley, P. (2000). Changes in the banking sector–the case of Internet banking in the UK. Internet Research, 10(1), 19-31.
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.
Kline, R. (2011). Principles and Practice of Structural Equation Modeling, 3rd edn Guilford Press. New York.
Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations.
Kumar Sharma, S., & Madhumohan Govindaluri, S. (2014). Internet banking adoption in India: structural equation modeling approach. Journal of Indian Business Research, 6(2), 155-169.
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.
Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263-294.
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.
Ngah, A. H., Zainuddin, Y., & Thurasamy, R. (2015). Barriers and enablers in adopting of Halal warehousing. Journal of Islamic Marketing, 6(3), 354-376.
o’Reilly, P., & Finnegan, P. (2003). Internet banking systems: An exploration of contemporary issues. Journal of systems and information technology, 7(1/2), 93-110.
Rahi, S. (2015). Moderating role of brand image with relation to internet banking and customer loyalty: A case of branchless banking. The Journal of Internet Banking and Commerce, 20(3).
Rahi, S. (2016a). Impact of customer perceived value and customer’s perception of public relation on customer loyalty with moderating role of brand image. Journal of Internet Banking and Commerce, 21(2).
Rahi, S. (2016b). Impact of customer value, public relations perception and brand image on customer loyalty in services sector of Pakistan. Arabian Journal of Bussiness Management Review, S, 2, 2.
Rahi, S., & Ghani, M. (2016a). Internet banking, customer perceived value and loyalty: The role of switching costs. Journal of Accounting and Marketing, 5(2), 188.
Rahi, S., & Ghani, M. A. (2016b). Customers' perception of public relation in e-commerce and its impact on e-loyalty with brand image and switching cost. Journal of Internet Banking and Commerce, 21(3).
Rahi, S. (2017). Research design and methods: A systematic review of research paradigms, sampling issues and instruments development. International Journal of Economics & Management Sciences, 6(2).
Rahi, S., Yasin, N. M., & Alnaser, F. M. (2017). Measuring the role of website design, assurance, customer service and brand image towards customer loyalty and intention to adopt interent banking. The Journal of Internet Banking and Commerce, 22(S8).
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH.
Shanmugam, M., Wang, Y.-Y., Bugshan, H., & Hajli, N. (2015). Understanding customer perceptions of internet banking: the case of the UK. Journal of Enterprise Information Management, 28(5), 622-636.
Suleiman Awwad, M., & Mohammad Agti, D. A. (2011). The impact of internal marketing on commercial banks' market orientation. International Journal of Bank Marketing, 29(4), 308-332.
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., 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.
Wang, Y.-S., Wang, Y.-M., Lin, H.-H., & Tang, T.-I. (2003). Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management, 14(5), 501-519.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102.
Wu, S.-I. (2006). A comparison of the behavior of different customer clusters towards Internet bookstores. Information & Management, 43(8), 986-1001.
Yee-Loong Chong, A., Ooi, K.-B., Lin, B., & Tan, B.-I. (2010). Online banking adoption: an empirical analysis. International Journal of Bank Marketing, 28(4), 267-287.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. the Journal of Marketing, 60(2), 31-46.
Zhang, X., & Prybutok, V. R. (2005). A consumer perspective of e-service quality. IEEE transactions on Engineering Management, 52(4), 461-477.
Zhuang, Y., & Lederer, A. L. (2004). The impact of top management commitment, business process redesign, and IT planning on the business-to-consumer e-commerce site. Electronic Commerce Research, 4(4), 315-333.