How to cite this paper
Rahi, S., Ghani, M & Ngah, A. (2018). A structural equation model for evaluating user’s intention to adopt internet banking and intention to recommend technology.Accounting, 4(4), 139-152.
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.
Alalwan, A., Dwivedi, Y., & Williams, M. (2014). Examining factors affecting customer intention and adoption of Internet banking in Jordan. Paper presented at the Proceedings of United Kingdom Academy of Information Systems UKAIS Conference.
Chaouali, W., Yahia, I. B., & 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.
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.
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.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.
Frye, N. E., & Dornisch, M. M. (2010). When is trust not enough? The role of perceived privacy of communication tools in comfort with self-disclosure. Computers in Human Behavior, 26(5), 1120-1127.
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214.
Hair Jr, F. 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.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
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.
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.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management science, 51(5), 741-755.
Kim, S. S., Malhotra, N. K., & Narasimhan, S. (2005). Research note—two competing perspectives on automatic use: A theoretical and empirical comparison. Information systems research, 16(4), 418-432.
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.
Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS quarterly, 705-737.
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.
Mazuri, A. G., Samar, R., Norjaya, M. Y., & Feras, M. A. (2017). Adoption of Internet Banking: Extending the Role of Technology Acceptance Model (TAM) with E-Customer Service and Customer Satisfaction. World Applied Sciences Journal, 35(9).
Miltgen, C. L., Popovič, A., & Oliveira, T. (2013). Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context. Decision Support Systems, 56, 103-114.
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.
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414.
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, 2015.
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 J Bus Manag Review S2, 004.
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), 1-5.
Rahi, S., Ghani, M., Alnaser, F., & Ngah, A. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 8(3), 173-186.
Rahi, S., Ghani, M., & Muhamad, F. (2017). Inspecting the Role of Intention to Trust and Online Purchase in Developing Countries. J Socialomics 6(1). doi: 10.41 72/2167-0358.1000191
Rahi, S., & Ghani, M. A. (2016). Customer's 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., Ghani, M. A., & Alnaser, F. M. (2017). The Influence of E-Customer Services and Perceived Value on Brand Loyalty of Banks and Internet Banking Adoption: A Structural Equation Model (SEM). The Journal of Internet Banking and Commerce, 22(1), 1-18.
Salisbury, W., Pearson, R., Pearson, A., & Miller, D. (2001). Identifying barriers that keep shoppers off the world wide web: developing a scale of perceived web security. Industrial management & data systems, 101(4), 165-176.
Samar, R., & Mazuri, A. G. (2016). Internet Banking, Customer Perceived Value and Loyalty: The Role of Switching Costs. Journal of Accounting & Marketing, 5(4).
Samar, R., Norjaya, M. Y., & Feras, M. A. (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).
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.
Susanto, A., Lee, H., & Zo, H. (2011). Factors influencing initial trust formation in adopting internet banking in Indonesia. Paper presented at the Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS quarterly, 125-143.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology.
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.
Alalwan, A., Dwivedi, Y., & Williams, M. (2014). Examining factors affecting customer intention and adoption of Internet banking in Jordan. Paper presented at the Proceedings of United Kingdom Academy of Information Systems UKAIS Conference.
Chaouali, W., Yahia, I. B., & 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.
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.
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.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.
Frye, N. E., & Dornisch, M. M. (2010). When is trust not enough? The role of perceived privacy of communication tools in comfort with self-disclosure. Computers in Human Behavior, 26(5), 1120-1127.
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214.
Hair Jr, F. 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.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
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.
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.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management science, 51(5), 741-755.
Kim, S. S., Malhotra, N. K., & Narasimhan, S. (2005). Research note—two competing perspectives on automatic use: A theoretical and empirical comparison. Information systems research, 16(4), 418-432.
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.
Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS quarterly, 705-737.
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.
Mazuri, A. G., Samar, R., Norjaya, M. Y., & Feras, M. A. (2017). Adoption of Internet Banking: Extending the Role of Technology Acceptance Model (TAM) with E-Customer Service and Customer Satisfaction. World Applied Sciences Journal, 35(9).
Miltgen, C. L., Popovič, A., & Oliveira, T. (2013). Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context. Decision Support Systems, 56, 103-114.
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.
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414.
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, 2015.
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 J Bus Manag Review S2, 004.
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), 1-5.
Rahi, S., Ghani, M., Alnaser, F., & Ngah, A. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 8(3), 173-186.
Rahi, S., Ghani, M., & Muhamad, F. (2017). Inspecting the Role of Intention to Trust and Online Purchase in Developing Countries. J Socialomics 6(1). doi: 10.41 72/2167-0358.1000191
Rahi, S., & Ghani, M. A. (2016). Customer's 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., Ghani, M. A., & Alnaser, F. M. (2017). The Influence of E-Customer Services and Perceived Value on Brand Loyalty of Banks and Internet Banking Adoption: A Structural Equation Model (SEM). The Journal of Internet Banking and Commerce, 22(1), 1-18.
Salisbury, W., Pearson, R., Pearson, A., & Miller, D. (2001). Identifying barriers that keep shoppers off the world wide web: developing a scale of perceived web security. Industrial management & data systems, 101(4), 165-176.
Samar, R., & Mazuri, A. G. (2016). Internet Banking, Customer Perceived Value and Loyalty: The Role of Switching Costs. Journal of Accounting & Marketing, 5(4).
Samar, R., Norjaya, M. Y., & Feras, M. A. (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).
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.
Susanto, A., Lee, H., & Zo, H. (2011). Factors influencing initial trust formation in adopting internet banking in Indonesia. Paper presented at the Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS quarterly, 125-143.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology.
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.