Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 18
Page No. 6836 - 6842

Extension of Technology Adoption Models (TAM, TAM3, UTAUT2) with Trust; Mobile Learning in Jordanian Universities

Authors : Firas TayseerMohammad Ayasrah

References

Abu-Al-Aish, A. and S. Love, 2013. Factors influencing student’s acceptance of M-learning: An investigation in higher education. Intl. Rev. Res. Open Distrib. Learn., 14: 82-107.
Direct Link  |  

Al-Adwan, A. and J. Smedley, 2013. Exploring students acceptance of e-learning using technology acceptance model in jordanian universities Amer Al-Adwan applied science university, Jordan. Int. J. Educ. Dev. Inform. Commun. Technol., 9: 4-18.

Al-Adwan, A.S., A. Al-Madadha and Z. Zvirzdinaite, 2018. Modeling student’s readiness to adopt mobile learning in higher education: An empirical study. Intl. Rev. Res. Open Distrib. Learn., 19: 1-21.
Direct Link  |  

Ali, F., P.K. Nair and K. Hussain, 2016. An assessment of student’s acceptance and usage of computer supported collaborative classrooms in hospitality and tourism schools. J. Hospitality Leisure Sport Tourism Educ., 18: 51-60.
CrossRef  |  Direct Link  |  

Almaiah, M.A. and M. Man, 2016. Empirical investigation to explore factors that achieve high quality of mobile learning system based on students perspectives. Eng. Sci. Technol. Intl. J., 19: 1314-1320.
Direct Link  |  

Almaiah, M.A., 2018. Acceptance and usage of a mobile information system services in University of Jordan. Educ. Inf. Technol., 23: 1873-1895.
Direct Link  |  

Almaiah, M.A., M.A. Jalil and M. Man, 2016. Extending the TAM to examine the effects of quality features on mobile learning acceptance. J. Comput. Educ., 3: 453-485.
Direct Link  |  

Almarabeh, T. and H. Mohammad, 2013. E-learning in the Jordanian higher education system: Strengths, weakness, opportunities and threats. J. Am. Sci., 9: 281-287.

Alshraideh, R.S. and R.S. Al-Shrida, 2018. Factors affecting the adoption of mobile learning by Jordanian university students: Based on UTAUT model. Current Educ. Res., 1: 72-80.

Blank, G. and W.H. Dutton, 2012. Age and trust in the Internet: The centrality of experience and attitudes toward technology in Britain. Soc. Sci. Comput. Rev., 30: 135-151.
CrossRef  |  Direct Link  |  

Callum, K.M. and L. Jeffrey, 2014. Factors impacting teachers adoption of mobile learning. J. Inf. Technol. Educ., 13: 141-162.
Direct Link  |  

Cheng, Y.M., 2014. Exploring the intention to use mobile learning: The moderating role of personal innovativeness. J. Syst. Inf. Technol., 16: 40-61.
Direct Link  |  

Chong, A.Y.L. and E.W. Ngai, 2013. What influences traveller’s adoption of a location-based social media service for their travel planning?. Proceedings of the 2013 International Conference on Pacific Asia Information Systems (PACIS), June 18, 2013, Association for Information Systems, Atlanta, Georgia, USA., pp: 1-16.

Codish, D. and G. Ravid, 2015. Detecting playfulness in educational gamification through behavior patterns. IBM. J. Res. Dev., 59: 1-6.
CrossRef  |  Direct Link  |  

Davis, F.D., R.P. Bagozzi and P.R. Warshaw, 1989. User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci., 35: 982-1003.
CrossRef  |  Direct Link  |  

Davis, F.D., R.P. Bagozzi and P.R. Warshaw, 1992. Extrinsic and intrinsic motivation to use computers in the workplace. J. Applied Social Psychol., 22: 1111-1132.
CrossRef  |  Direct Link  |  

Dobre, I., 2015. Learning management systems for higher education-an overview of available options for higher education organizations. Procedia Soc. Behav. Sci., 180: 313-320.
CrossRef  |  Direct Link  |  

Escobar, R.T. and E.C. Trujillo, 2013. Online drivers of consumer purchase of website airline tickets. J. Air Transp. Manage., 32: 58-64.
Direct Link  |  

Gao, S., J. Krogstie and P.A. Gransæther, 2008. Mobile services acceptance model. Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT'08, August 28-30, 2008, IEEE, Daejeon, South Korea, ISBN:978-0-7695-3328-5, pp: 446-453.

Gefen, D., E. Karahanna and D.W. Straub, 2003. Trust and TAM in online shopping: An integrated model. Manage. Inform. Syst. Q., 27: 51-90.
Direct Link  |  

Gefen, D., E. Karahanna and D.W. Straub, 2003. Trust and TAM in online shopping: An integrated model. Manage. Inform. Syst. Q., 27: 51-90.
Direct Link  |  

Huang, R.T., 2014. Exploring the moderating role of self-management of learning in mobile English learning. J. Educ. Technol. Soc., 17: 255-267.
Direct Link  |  

Hubert, M., M. Blut, C. Brock, C. Backhaus and T. Eberhardt, 2017. Acceptance of smartphone‐based mobile shopping: Mobile benefits, customer characteristics, perceived risks and the impact of application context. Psychol. Marketing, 34: 175-194.
CrossRef  |  Direct Link  |  

Iqbal, S. and I.A. Qureshi, 2012. M-learning adoption: A perspective from a developing country. Intl. Rev. Res. Open Distrib. Learn., 13: 147-164.
Direct Link  |  

Jung, H.J., 2014. Ubiquitous learning: Determinants impacting learner’s satisfaction and performance with smartphones. Lang. Learn. Technol., 18: 97-119.
Direct Link  |  

Kalinic, Z. and V. Marinkovic, 2016. Determinants of user’s intention to adopt M-commerce: An empirical analysis. Inf. Syst. E. Bus. Manage., 14: 367-387.
Direct Link  |  

Kim, D.J., D.L. Ferrin and H.R. Rao, 2008. A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk and their antecedents. Decis. Support Syst., 44: 544-564.
CrossRef  |  

Lee, J.H. and C.H. Song, 2013. Effects of trust and perceived risk on user acceptance of a new technology service. Soc. Behav. Personality Intl. J., 41: 587-597.
CrossRef  |  Direct Link  |  

Lewis, C.C., C.E. Fretwell, J. Ryan and J.B. Parham, 2013. Faculty use of established and emerging technologies in higher education: A unified theory of acceptance and use of technology perspective. Int. J. Higher Educ., 2: 22-34.
Direct Link  |  

Liu, Y., S. Han and H. Li, 2010. Understanding the factors driving m-learning adoption: A literature review. Campus-Wide Inform. Syst., 27: 210-226.
CrossRef  |  

MacCallum, K., 2011. Influences on the adoption of mobile technology by students and teachers. Ph.D Thesis, Massey University Albany, Auckland, New Zealand.

Mahajaroenkul, S., 2017. Informal learning strategies of international students seeking to learn English via mass and/or social media. Ph.D Thesis, Wichita State University, Wichita, Kansas.

Martin, F. and J. Ertzberger, 2013. Here and now mobile learning: An experimental study on the use of mobile technology. Comput. Educ., 68: 76-85.
Direct Link  |  

Masrek, M.N., 2015. Predictors of mobile learning adoption: The case of universiti Teknologi MARA. Proceedings of the 7th International Conference on Information Technology (ICIT), May 12-15, 2015, AL-Zaytoonah University, Amman, Jordan, pp: 317-324.

Moores, T.T., 2012. Towards an integrated model of IT acceptance in healthcare. Decis. Support Syst., 53: 507-516.
Direct Link  |  

Morgan, R.M. and S.D. Hunt, 1994. The commitment-trust theory of relationship marketing. J. Market., 58: 20-38.
CrossRef  |  Direct Link  |  

Morosan, C. and A. DeFranco, 2016. It’s about time: Revisiting UTAUT2 to examine consumer’s intentions to use NFC mobile payments in hotels. Intl. J. Hospitality Manage., 53: 17-29.
CrossRef  |  Direct Link  |  

Mou, J. and J.F. Cohen, 2014. A longitudinal study of trust and perceived usefulness in consumer acceptance of an eService: The case of online health services. Proceedings of the 2014 International Conference on Pacific Asia Information Systems (PACIS), June 24-28, 2014, Association for Information Systems, Atlanta, Georgia, USA., pp: 1-17.

Mtebe, J. and R. Raisamo, 2014. Investigating student’s behavioural intention to adopt and use mobile learning in higher education in East Africa. Intl. J. Educ. Deve.ICT., 10: 4-20.
Direct Link  |  

Oliveira, T., M. Thomas and M. Espadanal, 2014. Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Inform. Manage., 51: 497-510.
CrossRef  |  Direct Link  |  

Park, E. and K.J. Kim, 2014. An integrated adoption model of mobile cloud services: Exploration of key determinants and extension of technology acceptance model. Telematics Inf., 31: 376-385.
Direct Link  |  

Raman, A. and Y. Don, 2013. Preservice teachers acceptance of learning management software: An application of the UTAUT2 model. Intl. Educ. Stud., 6: 157-164.
Direct Link  |  

Sanchez-Prieto, J.C., S. Olmos-Miguelanez and F.J. Garcia-Penalvo, 2017. M learning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model. Comput. Hum. Behav., 72: 644-654.
CrossRef  |  Direct Link  |  

Seliaman, M.E. and M.S. Al-Turki, 2012. Mobile learning adoption in Saudi Arabia. World Acad. Sci. Eng. Technol., 69: 391-393.
Direct Link  |  

Shah, M., 2014. Impact of Management Information Systems (MIS) on school administration: What the literature says. Procedia Soc. Behav. Sci., 116: 2799-2804.
CrossRef  |  Direct Link  |  

Shorfuzzaman, M. and M. Alhussein, 2016. Modeling learner’s readiness to adopt mobile learning: A perspective from a GCC higher education institution. Mob. Inf. Syst., 2016: 1-10.
CrossRef  |  Direct Link  |  

Sibiya, M., J.H. Buitendach, H. Kanengoni and S. Bobat, 2014. The prediction of turnover intention by means of employee engagement and demographic variables in a telecommunications organisation. J. Psychol. Afr., 24: 131-143.
CrossRef  |  Direct Link  |  

Su, L., S.R. Swanson and X. Chen, 2016. The effects of perceived service quality on repurchase intentions and subjective well-being of Chinese tourists: The mediating role of relationship quality. Tourism Manage., 52: 82-95.
CrossRef  |  Direct Link  |  

Sumak, B., M. HericKo and M. Pusnik, 2011. A meta-analysis of E-learning technology acceptance: The role of user types and E-learning technology types. Comput. Hum. Behav., 27: 2067-2077.
CrossRef  |  Direct Link  |  

Taiwo, A.A. and A.G. Downe, 2013. The theory of user acceptance and use of technology (UTAUT): A meta-analytic review of empirical findings. J. Theor. Appl. Inf. Technol., 49: 48-58.
Direct Link  |  

Teo, T.S.H., 2001. Demographic and motivation variables associated with internet usage Activities. Internet Res., 11: 125-137.
CrossRef  |  Direct Link  |  

Tomei, L.A., 2008. Encyclopedia of Information Technology Curriculum Integration. IGI Global, Pennsylvania, USA.,.

Traxler, J., 2010. Sustaining mobile learning and its institutions. Intl. J. Mob. Blended Learn., 2: 58-65.
CrossRef  |  Direct Link  |  

Ugur, N.G., T. Koc and M. Koc, 2016. An analysis of mobile learning acceptance by college students. J. Educ. Instructional Stud. World, 6: 39-49.
Direct Link  |  

Venkatesh, V. and H. Bala, 2008. Technology acceptance model 3 and a research agenda on interventions. Decis. Sci., 39: 273-315.
CrossRef  |  Direct Link  |  

Venkatesh, V., J.Y. Thong and X. Xu, 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS. Q., 36: 157-178.
Direct Link  |  

Venkatesh, V., M.G. Morris, G.B. Davis and F.D. Davis, 2003. User acceptance of information technology: Toward a unified view. MIS Quart., 27: 425-478.
CrossRef  |  Direct Link  |  

Wang, Y.S., M.C. Wu and H.Y. Wang, 2009. Investigating the determinants and age and gender differences in the acceptance of mobile learning. Br. J. Educ. Technol., 40: 92-118.
CrossRef  |  Direct Link  |  

Yousafzai, S.Y., J.G. Pallister and G.R. Foxall, 2005. Strategies for building and communicating trust in electronic banking: A field experiment. Psychol. Market., 22: 181-202.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved