Presenting a causal model of the influential factors in applying continuous electronic on-the-job training in the leasing employees of Bank Mellat

Al-Dokhny, A.; Drwish, A.;Alyoussef, I.; Al-Abdullatif, A (2021) . Students’ intentions to use distance education platforms: An investigation into expanding the Technology Acceptance Model through Social Cognitive Theory. Electronics, 10(2992). https://doi.org/10.3390/electronics10232992

Al-Harbi,K.A.(2011). E-learning in Saudi tertiary education: Potential and challenges. Computing and Informatics, 9, 31-46, doi:10.1016/j.aci.2010.03.002

Alshibly, H.(2014). An Emprical Investigation into Factors Influencing the Intention to E-earning System: An Extended Technology Acceptance Model. British Journal of Applied Science & Technology, 4(17), 2440-2457.

Binyamin,S; Rutter, J; and Smith, S(2018).The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University, International Journal of Information and Education Technology, 8(10):693-699.

Cosaque, C. E & Pallud, J, Kalika, M. (2008). The Influence of Work Environment on IT Specific Individual Differences: An Empirical Study Présentation du modèle à respecter pour la présentation des communications au 10ème congrès de l’AIM.

Dina, T. A. & Ciornei, S. I. (2015). Developing Good Academic Practice on Learning Business English with Open Web-based Educational Resources: The Results of a Pilot Study. Procedia - Social and Behavioral Sciences, 203, 310-315. doi:http://dx.doi.org/10.1016/j.sbspro.2015.08.300

Fagan, M. H & Neill, S (2004), An Empirical Investigation into the Relationship between Computer Self-efficacy, Anxiety, Experience, Support and Usage. Journal of Computer Information Systems.

Ferrell، M. (2001). The Changing faces of Virtual education، the commonwealth of learning، Vancouver، Canada.

Galagher, E.N (2014).social support and emotional intelligence as predictors of subjective well-being. Journal Personality and Individual Differences, 44(7), 1551-1561

Isaksen, S.G. & Isaksen, E.J. (2011). The climate for creativity and innovation: and its relationship to empowerment, consumer insight, and ambiguity. Orchard Park, NY: The Creative Problem Solving Group, Inc.

Jong, D & Wang, S (2009). Student Acceptance of Web-based Learning System, International Symposium on Web Information Systems and Applications (WISA’09) pp. 533-536.

Khan, S. (2010). Developing human resources for and with ICTs: The case of education, Workshop on developing ICT in education master plan for Bangladesh.

Kulviwat,S. (2006), Self-efficacy as an antecedent of cognition and affect technology acceptance, Unpublished doctoral dissertation, University of Hofstra.

Mazman, S. G., Usluel, Y. K. (2009). The Usage of Social Network in Educational Context, Word Academy of science, Engineering and Technology, 49, 404-408.

Menabò, L; Sansavini, A; Brighi, A; Skrzypiec, G; and Guarini, A (2020). Promoting the integration of technology in teaching: An analysis of the factors that increase the intention to use technologies among Italian teachers, Journal of computer assisted learning, 37:1566–1577.

Neo, M. Neo, K. T. K. Lim, T.L. Tan, H. Y.J. & Kwok, W.J. (2013). Instructional Relationships within a Web-based Learning Environment: Students’ Perceptions in a Malaysian Classroom. Procedia - Social and Behavioral Sciences, 103, 515-525. doi:http://dx.doi.org/10.1016/j.sbspro.2013.10.368

Nisly, S. A. Isaacs, A. N. & Merkel, K. G. (2014). Use of web-based learning modules for a general medicine advanced pharmacy practice experience. Currents in Pharmacy Teaching and Learning, 6(4), 502-506. doi:http://dx.doi.org/10.1016/j.cptl.2014.04.005.

Park، B (2003)، Faculty Adoption and Utilization of Web-Assisted Instruction (WAI) in Higher Education: Structural Equation Modeling (SEM)، Unpublished Doctoral Dissertation.

Raleting, T., Nel, J. (2011). Department of Low- income non-users, attitude towards WIB mobile phone banking: Evidence from South Africa, African Journal of Business Management, 5 (1), 212-223. Available from http://www.academicjournal.org.

Reid, M (2008). Integrating Trust and Computer Self- Efficacy into the Technology Acceptance Model: Their Impact on customers’ use of Banking Information systems in Jamaica, Doctoral Dissertation Research, Nova Southeastern University.

Ruth، J. (2000). Appling a modified technology acceptance model to determine factors affecting behavioral intentions to adopt electronic shopping on the World Wide Web: a structural equation modeling approach، Unpublished Doctoral Dissertation.

Saade, R & Bahli, B (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model, Information & Management 42 (2005) 317 327.

Saigal A (2012) Demonstrating a situated learning approach for in-service teacher education in rural India: The Quality Education Programme in Rajasthan، Teaching and Teacher Education: An International Journal of Research and Studies، 28 (7): 1009-1017.

Siang, J.J.(2015). Students Perspective of learning Management System: An Empirical Evidence of Technology Acceptance Model in Energing Countries. Journal of Art, Science & Commerce.

Sokura,B & Tuunainen, V& Öörni, A. (2012) The Role of Training in Decreasing Anxiety among Experienced Computer Users.

Sokura,B & Tuunainen, V& Öörni, A. (2012) The Role of Training in Decreasing Anxiety among Experienced Computer Users.

Stone، W. ، & Henry، J. W. (2003). The roles of computer self-efficacy and outcome expectancy in influencing the computer end-user's organizational commitment. Journal of End User Computing، 15(1)، 38 53.

Sun, H & Zhang, P (2008).An Exploration of Affect Factors and Their Role in User Technology Acceptance: Mediation and Causality, Journal of the  American Society for Information  Science and  Technology, 59 (8):1252 1263, 2008

Tan، (2007). An integrated view of cognitive absorption in a technology mediated learning Environment، Unpublished Doctoral Dissertation.

Thi Doan, T (2021). The effect of perceived risk and technology self-efficacy on online learning intention: An empirical study in Vietnam, Journal of Asian finance, economics and business, 8(10):385-393

Tselios, N., Daskalakis, S., & Papadopoulou, M. (2011). Assessing the Acceptance of a Blended Learning University Course. Educational Technology & Society, 14 (2), 224–235.

Tsivitanidou, O. E. & Constantinou, C. P. (2016). A study of students' heuristics and strategy patterns in web-based reciprocal peer assessment for science learning. The Internet and Higher Education, 29, 12-22. doi:http://dx.doi.org/10.1016/j.iheduc.2015.11.002

Wang، Z & Wang، (2012). Knowledge sharing، innovation and firm performance. Journal homepage Expert Systems with Applications، 39: 8899-8908.

Wolters, C. A, Daugherty, S. G. (2007) Goal Structures and Teachers’ Sense of Efficacy: Their Relation and Association to Teaching Experience and Academic Level. Journal of Educational Psychology; 99(1): 181–193.

Yang, H (2007). The Effect of Technology Acceptance on Undergraduate Students’ Usage of WEBCT as a Collaborative Tool, Unpublished Doctoral Dissertation.

Zhang, P & Li, N and Sun, H. (2006) Affective Quality and Cognitive Absorption: Extending Technology Acceptance Research, Proceedings of the Hawaii International Conference on System Sciences, January, 2006