How to cite this paper
Bahaj, S., Aljaaidi, K & Ahmed, T. (2019). Using TAM model to empirically examine students' attitudes towards e-services in college of business administration.Management Science Letters , 9(5), 651-660.
Refrences
Abbasi, M. N., Malik, A., Chaudhry, I. S., & Imdadullah, M. (2011). A study on student satisfaction in Pakistani universities: the case of Bahauddin Zakariya University, Pakistan. Asian Social Sci-ence, 7(7), 209.
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90.
Alalwan, A. A., Dwivedi, Y. K., & Williams, M. D. (2016). Customers’ intention and adoption of tele-banking in Jordan. Information Systems Management, 33(2), 154-178.
Alenezi, H., Tarhini, A., & Sharma, S. K. (2015). Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits. Transforming Gov-ernment: People, Process and Policy, 9(3), 324-351.
Al-rahmi, W., & Othman, M. (2013). Using TAM model to measure the use of social media for collabo-rative learning. International Journal of Engineering Trends and Technology (IJETT), 5(2), 90-95.
Dadzie, P. S. (2005). Electronic resources: access and usage at Ashesi University College. Campus-Wide Information Systems, 22(5), 290-297.
Daneshgar, F., Aurum, A., & Potukuchi, S. (2007). Adoption of instant messaging technologies by uni-versity students. ACIS 2007 Proceedings, 70.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 17(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.
Dholakia, R. R., & Dholakia, N. (2004). Mobility and markets: emerging outlines of m-commerce. Journal of Business research, 57(12), 1391-1396.
Dickinger, A., Arami, M., & Meyer, D. (2006, January). Reconsidering the adoption process: enjoyment and social norms—antecedents of hedonic mobile technology use. In System Sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii International Conference on (Vol. 1, pp. 23a-23a). IEEE.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & Management, 36(1), 9-21.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading. MA: Addison-Wesley
Kalin, J. (2012). Doing what comes naturally? Student perceptions and use of collaborative technolo-gies. International Journal for the Scholarship of Teaching and Learning, 6(1), 10.
Khee, C. M., Wei, G. W., & Jamaluddin, S. A. (2014). Students’ perception towards lecture capture based on the Technology Acceptance Model. Procedia-Social and Behavioral Sciences, 123, 461-469.
Khwaldeh, S. M., Al-Hadid, I., & Masa’deh, R. E. (2017). The association between e-services web por-tals information quality and ICT competence in the Jordanian universities. Asian Social Sci-ence, 13(3), 156.
Kim-Soon, N., Rahman, A., & Ahmed, M. (2014). E-service quality in higher education and frequency of use of the service. International Education Studies, 7(3), 1.
Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254-263.
Lexhagen, M., Nysveen, H., & HEM, L. E. (2005). Festival coordination: An exploratory study on in-tention to use mobile devices for coordination of a festival. Event Management, 9(3), 133-146.
Lou, H., Luo, W., & Strong, D. (2000). Perceived critical mass effect on groupware ac-ceptance. European journal of information systems, 9(2), 91-103.
Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical find-ings. Journal of Organizational and End User Computing (JOEUC), 16(1), 59-72.
Mazman, S. G., & Koçak-Usluel, Y. (2010). Modeling educational usage of Facebook. Computers &Education, 55 (2), 444-453.
Mirza, M. S., & Mahmood, K. (2012). Electronic resources and services in Pakistani university libraries: A survey of users' satisfaction. The International Information & Library Review, 44(3), 123-131.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.
Nedeva, V., & Zlatev, Z. (2013). Quality of the services provided by a university web portal. Applied Researches in Technics, Technologies and Education, 1(3), 173-180.
Obeidat, B. Y., Al-Suradi, M. M., Masa’deh, R. E., & Tarhini, A. (2016). The impact of knowledge management on innovation: An empirical study on Jordanian consultancy firms. Management Re-search Review, 39(10), 1214-1238.
Pelling, E. L., & White, K. M. (2009). The theory of planned behavior applied to young people's use of social networking web sites. CyberPsychology & Behavior, 12(6), 755-759.
Ramayah, T. (2006). Interface characteristics, perceived ease of use and intention to use an online li-brary in Malaysia. Information Development, 22(2), 123-133.
Rao Hill, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services.
Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of human-computer stud-ies, 64(8), 683-696.
Rogers, E. (1995). Diffusion of innovations (4th ed.). New York: The Free Press.
Shin, D. H., & Kim, W. Y. (2008). Applying the technology acceptance model and flow theory to cy-world user behavior: implication of the web2. 0 user acceptance. CyberPsychology & Behav-ior, 11(3), 378-382.
Sutarso, Y., & Suharmadi, A. (2011). Promotion of E-Technology-Based Services a Case Study of E-Service Quality at a University in Indonesia.
Teo, T. S. (2001). Demographic and motivation variables associated with Internet usage activi-ties. Internet Research, 11(2), 125-137.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interven-tions. Decision sciences, 39(2), 273-315.
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.
Woje, W., Tyrrell, T., & Erdem, M. (2013). Exploring the behavioral aspects of adopting technology: Meeting planners' use of social network media and the impact of perceived critical mass. Journal of Hospitality and Tourism Technology, 4(1), 6-22.
Yang, Y., Wang, Q., Woo, H. L., & Quek, C. L. (2011). Using Facebook for teaching and learning: a review of the literature. International Journal of Continuing Engineering Education and Life Long Learning, 21(1), 72-86.
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007). Technology acceptance: a meta-analysis of the TAM: Part 1. Journal of Modelling in Management, 2(3), 251-280.
Zhang, S., Zhao, J., & Tan, W. (2008). Extending TAM for online learning systems: An intrinsic moti-vation perspective. Tsinghua Science and Technology, 13(3), 312-317.
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90.
Alalwan, A. A., Dwivedi, Y. K., & Williams, M. D. (2016). Customers’ intention and adoption of tele-banking in Jordan. Information Systems Management, 33(2), 154-178.
Alenezi, H., Tarhini, A., & Sharma, S. K. (2015). Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits. Transforming Gov-ernment: People, Process and Policy, 9(3), 324-351.
Al-rahmi, W., & Othman, M. (2013). Using TAM model to measure the use of social media for collabo-rative learning. International Journal of Engineering Trends and Technology (IJETT), 5(2), 90-95.
Dadzie, P. S. (2005). Electronic resources: access and usage at Ashesi University College. Campus-Wide Information Systems, 22(5), 290-297.
Daneshgar, F., Aurum, A., & Potukuchi, S. (2007). Adoption of instant messaging technologies by uni-versity students. ACIS 2007 Proceedings, 70.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 17(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.
Dholakia, R. R., & Dholakia, N. (2004). Mobility and markets: emerging outlines of m-commerce. Journal of Business research, 57(12), 1391-1396.
Dickinger, A., Arami, M., & Meyer, D. (2006, January). Reconsidering the adoption process: enjoyment and social norms—antecedents of hedonic mobile technology use. In System Sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii International Conference on (Vol. 1, pp. 23a-23a). IEEE.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & Management, 36(1), 9-21.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading. MA: Addison-Wesley
Kalin, J. (2012). Doing what comes naturally? Student perceptions and use of collaborative technolo-gies. International Journal for the Scholarship of Teaching and Learning, 6(1), 10.
Khee, C. M., Wei, G. W., & Jamaluddin, S. A. (2014). Students’ perception towards lecture capture based on the Technology Acceptance Model. Procedia-Social and Behavioral Sciences, 123, 461-469.
Khwaldeh, S. M., Al-Hadid, I., & Masa’deh, R. E. (2017). The association between e-services web por-tals information quality and ICT competence in the Jordanian universities. Asian Social Sci-ence, 13(3), 156.
Kim-Soon, N., Rahman, A., & Ahmed, M. (2014). E-service quality in higher education and frequency of use of the service. International Education Studies, 7(3), 1.
Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254-263.
Lexhagen, M., Nysveen, H., & HEM, L. E. (2005). Festival coordination: An exploratory study on in-tention to use mobile devices for coordination of a festival. Event Management, 9(3), 133-146.
Lou, H., Luo, W., & Strong, D. (2000). Perceived critical mass effect on groupware ac-ceptance. European journal of information systems, 9(2), 91-103.
Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical find-ings. Journal of Organizational and End User Computing (JOEUC), 16(1), 59-72.
Mazman, S. G., & Koçak-Usluel, Y. (2010). Modeling educational usage of Facebook. Computers &Education, 55 (2), 444-453.
Mirza, M. S., & Mahmood, K. (2012). Electronic resources and services in Pakistani university libraries: A survey of users' satisfaction. The International Information & Library Review, 44(3), 123-131.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.
Nedeva, V., & Zlatev, Z. (2013). Quality of the services provided by a university web portal. Applied Researches in Technics, Technologies and Education, 1(3), 173-180.
Obeidat, B. Y., Al-Suradi, M. M., Masa’deh, R. E., & Tarhini, A. (2016). The impact of knowledge management on innovation: An empirical study on Jordanian consultancy firms. Management Re-search Review, 39(10), 1214-1238.
Pelling, E. L., & White, K. M. (2009). The theory of planned behavior applied to young people's use of social networking web sites. CyberPsychology & Behavior, 12(6), 755-759.
Ramayah, T. (2006). Interface characteristics, perceived ease of use and intention to use an online li-brary in Malaysia. Information Development, 22(2), 123-133.
Rao Hill, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services.
Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of human-computer stud-ies, 64(8), 683-696.
Rogers, E. (1995). Diffusion of innovations (4th ed.). New York: The Free Press.
Shin, D. H., & Kim, W. Y. (2008). Applying the technology acceptance model and flow theory to cy-world user behavior: implication of the web2. 0 user acceptance. CyberPsychology & Behav-ior, 11(3), 378-382.
Sutarso, Y., & Suharmadi, A. (2011). Promotion of E-Technology-Based Services a Case Study of E-Service Quality at a University in Indonesia.
Teo, T. S. (2001). Demographic and motivation variables associated with Internet usage activi-ties. Internet Research, 11(2), 125-137.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interven-tions. Decision sciences, 39(2), 273-315.
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.
Woje, W., Tyrrell, T., & Erdem, M. (2013). Exploring the behavioral aspects of adopting technology: Meeting planners' use of social network media and the impact of perceived critical mass. Journal of Hospitality and Tourism Technology, 4(1), 6-22.
Yang, Y., Wang, Q., Woo, H. L., & Quek, C. L. (2011). Using Facebook for teaching and learning: a review of the literature. International Journal of Continuing Engineering Education and Life Long Learning, 21(1), 72-86.
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007). Technology acceptance: a meta-analysis of the TAM: Part 1. Journal of Modelling in Management, 2(3), 251-280.
Zhang, S., Zhao, J., & Tan, W. (2008). Extending TAM for online learning systems: An intrinsic moti-vation perspective. Tsinghua Science and Technology, 13(3), 312-317.