An extended information system success model for mobile learning usage in Saudi Arabia universities

The emergence of 4G networks allows m-learning to be attractive for educational systems. Mobile devices have the potential to enhance accessibility and efficiency distribution of educational materials and information. Developing countries, especially in the Middle East, lag behind as they face diffi...

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Main Author: Sulaiman M, Alorfi Almuhannad
Format: Thesis
Language:eng
eng
eng
Published: 2018
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id my-uum-etd.7474
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
eng
advisor Sheik Osman, Wan Rozaini
Virgiyanti, Wiwied
topic TK6570 Mobile Communication System.
spellingShingle TK6570 Mobile Communication System.
Sulaiman M, Alorfi Almuhannad
An extended information system success model for mobile learning usage in Saudi Arabia universities
description The emergence of 4G networks allows m-learning to be attractive for educational systems. Mobile devices have the potential to enhance accessibility and efficiency distribution of educational materials and information. Developing countries, especially in the Middle East, lag behind as they face difficulties in the adoption and use of m-learning. Previous researches stated that the studies in the success of m-learning are still insufficient in developing countries, particularly in Saudi Arabia where the number of students involved in m-learning also constitutes low percentages. Nine factors that influence the success of m-learning are incorporated and evaluated into a research model. A quantitative approach was used, where questionnaires were sent to three universities in KSA. The contributing factors and the relationships between them were evaluated using a Structural Equation Modelling technique. The research revealed that information quality, user satisfaction (US), trust in technology, attitude, organisation support, trust in organisation, and the net benefits of m-learning positively influence m-learning usage. In addition, the results confirmed that user satisfaction is positively affected by system quality (SEQ), service quality (SQ), and net benefits (NB) of using (U) the system. The results also showed that there is a significant relationship between NB and US for m-learning technology. This study extends the previous research by providing a conceptual model for the successful execution of m-learning services in universities. This mediating effect of US explains the impact of independent variables (IQ, SEQ, SQ) on U. It also examined the mediating effect of U in explaining the influence of US on the NB using m-learning services. The findings of this study are valuable as input for the Ministry of Higher Education and practitioners concerned with successful m-learning services. This study constructed a new model to enhance the mobile learning usage among students in universities.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Sulaiman M, Alorfi Almuhannad
author_facet Sulaiman M, Alorfi Almuhannad
author_sort Sulaiman M, Alorfi Almuhannad
title An extended information system success model for mobile learning usage in Saudi Arabia universities
title_short An extended information system success model for mobile learning usage in Saudi Arabia universities
title_full An extended information system success model for mobile learning usage in Saudi Arabia universities
title_fullStr An extended information system success model for mobile learning usage in Saudi Arabia universities
title_full_unstemmed An extended information system success model for mobile learning usage in Saudi Arabia universities
title_sort extended information system success model for mobile learning usage in saudi arabia universities
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2018
url https://etd.uum.edu.my/7474/1/Depositpermission_s95309.pdf
https://etd.uum.edu.my/7474/2/s95309_01.pdf
https://etd.uum.edu.my/7474/3/s95309_02.pdf
_version_ 1747828224484704256
spelling my-uum-etd.74742021-08-11T07:30:44Z An extended information system success model for mobile learning usage in Saudi Arabia universities 2018 Sulaiman M, Alorfi Almuhannad Sheik Osman, Wan Rozaini Virgiyanti, Wiwied Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences TK6570 Mobile Communication System. The emergence of 4G networks allows m-learning to be attractive for educational systems. Mobile devices have the potential to enhance accessibility and efficiency distribution of educational materials and information. Developing countries, especially in the Middle East, lag behind as they face difficulties in the adoption and use of m-learning. Previous researches stated that the studies in the success of m-learning are still insufficient in developing countries, particularly in Saudi Arabia where the number of students involved in m-learning also constitutes low percentages. Nine factors that influence the success of m-learning are incorporated and evaluated into a research model. A quantitative approach was used, where questionnaires were sent to three universities in KSA. The contributing factors and the relationships between them were evaluated using a Structural Equation Modelling technique. The research revealed that information quality, user satisfaction (US), trust in technology, attitude, organisation support, trust in organisation, and the net benefits of m-learning positively influence m-learning usage. In addition, the results confirmed that user satisfaction is positively affected by system quality (SEQ), service quality (SQ), and net benefits (NB) of using (U) the system. The results also showed that there is a significant relationship between NB and US for m-learning technology. This study extends the previous research by providing a conceptual model for the successful execution of m-learning services in universities. This mediating effect of US explains the impact of independent variables (IQ, SEQ, SQ) on U. It also examined the mediating effect of U in explaining the influence of US on the NB using m-learning services. The findings of this study are valuable as input for the Ministry of Higher Education and practitioners concerned with successful m-learning services. This study constructed a new model to enhance the mobile learning usage among students in universities. 2018 Thesis https://etd.uum.edu.my/7474/ https://etd.uum.edu.my/7474/1/Depositpermission_s95309.pdf text eng public https://etd.uum.edu.my/7474/2/s95309_01.pdf text eng public https://etd.uum.edu.my/7474/3/s95309_02.pdf text eng public http://sierra.uum.edu.my/record=b1697934~S1 Ph.D. doctoral Universiti Utara Malaysia Ab Hamid, M. R., Sami, W., & Sidek, M. M. (2017, September). Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion. In Journal of Physics: Conference Series, 890(1), p 012163. IOP Publishing. Abachi, H. R., & Muhammad, G. (2014). The Impact of M-learning Technology on Students and Educators. Computers in Human Behavior, 30, 491-496. Abasi, N., Azad, N., & Hafashjani, K. (2015). Information systems success: the quest for the dependent variable. Uncertain Supply Chain Management, 3(2), 181-188. Abdelghaffar, H., & Magdy, Y. (2012). The Adoption of Mobile Government Services in Developing Countries: The Case of Egypt. International Journal of Information, 2(4), 333-341. Abu-Al-Aish, A., Love, S., Hunaiti, Z., & Al-masaeed, S. (2013). Toward a Sustainable Deployment of M-learning in Higher Education. International Journal of Mobile Learning and Organisation, 7(3-4), 253-276. AbuSneineh, W., & Zairi, M. (2010). An Evaluation Framework for E-learning Effectiveness in the Arab World. International Encyclopedia of Education, 521-535. Accenture. (2003). E-Government Leadership – Realizing the Vision. Retrieved September 10, 2013, from http://nstore.accenture.com/acn_com/ PDF/Engaging_the_Customer.pdf Afshari, M., Bakar, K. A., Luan, W. S., Samah, B. A., & Fooi, F. S. (2014). Factors affecting teachers’ use of information and communication technology. International Journal of Instruction, 2(1). Agarwal, R. P. (2000). Difference Equations and Inequalities: Theory, Methods, and Applications (2 ed.). New York, USA: Marcel Dekker, Inc. Agarwal, R., & Prasad, J. (1997). The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies. Decision Sciences, 28(3), 557-582. Ahn, T., Ryu, S., & Han, I. (2007). The Impact of Web Quality and Playfulness on User Acceptance of Online Retailing. Information & Management, 44(3), 263-275. Ajzen, I. (1991). The Theory of Planned Behaviour. Organizational Behaviour and Human Decision Processes, 50(2), 179-211. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour (1 ed.). USA: Pearson Education, Inc. Akour, H. (2009). Determinants of Mobile learning Acceptance: An Empirical Anvestigation in Higher Education. Doctoral Dissertation, Oklahoma State University, USA. Al Alhareth, Y. (2014). E-learning Accessibility for Saudi Women: A Literature Review. International Journal of Emerging Technologies in Learning (iJET), 9(4), pp-65. Al Alhareth, Y., McBride, N., Prior, M., Leigh, M., & Flick, C. (2013). Saudi Women and E-learning. Paper presented at International Conference: The Future of Education, 3rd Edition, Florence, Italy. Al-Asmari, A. M., & Rabb Khan, M. S. (2014). E-learning in Saudi Arabia: Past, Present and Future. Near and Middle Eastern Journal of Research in Education, 1(2). Alawneh, A., Al-Refai, H., & Batiha, K. (2013). Measuring User Satisfaction from e-Government Services: Lessons from Jordan. Government Information Quarterly, 30(3), 277-288. Albalawi, M. S. (2007). Critical Factors Related to the Implementation of Web-Based Instruction by Higher-Education Faculty at Three Tniversities in the Kingdom of Saudi Arabia. Doctoral Dissertation, University of West Florida, USA. Al-Dabbagh, M. (2011). Electronic Government in Iraq: Challenges of development and implementation. Retrieved On June 21, 2013 from Swedish Business School, Örebro University: http://www.diva-portal.org/smash/get/diva2: 447880/FULLTEXT01.pdf Alenezi, A. R., Karim, A. M. A., & Veloo, A. (2010). An Empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students' intention to use e-learning: A case study from Saudi Arabian Governmental Universities. TOJET: The Turkish Online Journal of Educational Technology, 9(4). Al-Enezi, J. R., Abbod, M. F., & Alsharhan, S. (2010). Artificial Immune Systems-Models, Algorithms and Applications. IJRRAS, 3(2), 118-131. Alexander, B. (2004). Going Nomadic: Mobile learning in higher Education. Educause review, 39(5), 29-35. Al-Fahad, F. N. (2009). Students' Attitudes and Perceptions Towards the Effectiveness of Mobile Learning in King Saud University, Saudi Arabia. The Turkish Online Journal of Educational Technology, 8(2). 111-119 Alfarani, L. A. (2015). Influences on the Adoption of Mobile Learning in Saudi Women Teachers in Higher Education. International Journal of Interactive Mobile Technologies, 9(2), 58-62. Al-Gahtani, S. S. (2004). Computer Technology Acceptance Success Factors in Saudi Arabia: an Exploratory Study. Journal of Global Information Technology Management, 7(1), 5-29. Algharibi, A. J., Keung, L. C., Niukyun, S., Zhao, L., Tyler, E., Taweel, A., & Arvanitis, T. N. (2012). Adapting the Unified Theory of Acceptance and Use of Technology (UTAUT) as a Tool for Assessing Future Technology Adoption of e-Trial Software Tools. In Proceedings of the 10th International Conference on Information Communication Technologies in Health (pp. 258-267). Al-Haderi, S. M. S. (2013). The Effect of Eelf-Efficacy in the Acceptance of Information Technology in the Public Sector. International Journal of Business and Social Science, 4(9), 188-198 Al-Harbi, K. A.-S. (2011). E-Learning in the Saudi Tertiary Education: Potential and Challenges. Applied Computing and Informatics, 9(1), 31-46. Alharbi, S., & Drew, S. (2015). Mobile Learning-System Usage: Scale Development and Empirical tests. International Journal of Advanced Research in Artificial Intelligence, 3(11), 31-47. Alhendawi, K., & Baharudin, A. (2014a). The impact of interaction quality factors on the effectiveness of Web-based information system: the mediating role of user satisfaction. Cognition, technology & work, 16(4), 451-465. Alhendawi, K., & Baharudin, A. (2014b). Influence of Quality Factors on the Effectiveness of Web-based Management Information System: Scale Development and Model Validation. Journal of Applied Sciences, 14(8), 723. Al-Hujran, O. (2012). Toward the Utilization of M-Government Services in Developing Countries: a Qualitative Investigation. International Journal of Business and Social Science, 3(5), 155-160. Ali, A. S. B., & Money, W. H. (2005, January). A study of Project Management System Acceptance. In System Sciences, 2005. HICSS'05.Proceedings of the 38th Annual Hawaii International Conference on (pp. 234c-234c). IEEE. Ali, A. S. B., & Money, W. H. (2005, January). A study Of Project Management System Acceptance. In System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii International Conference on (pp. 234c-234c). IEEE. Aljabre, A. (2012). An Exploration Of Distance Learning in Saudi Arabian Universities: Current Practices and Future Possibilities. International Journal of Instructional Technology and Distance Learning, 9(2), 21-28. Alkhalaf, A. (2014). Identifying Mobile Learning Challenges at Male High Schools in Saudi Arabia from the Teachers’ Point of View. International Journal of Learning and Teaching, 6(1), 30-37. Al-Khamayseh, S., Hujran, O., Aloudat, A., & Lawrence, E. (2006). Intelligent MGovernment: Application of Personalisation and Location Awareness Techniques. Paper Presented at the Second European Conference on Mobile Government, Brighton, UK. Alksasbeh, M. (2012). Integrating Mobile Technology Quality Service, Trust and Cultural Factors into Technology Acceptance of Mobile Learning: A Case of the Jordan Higher Education Institution. Doctoral Dissertation, Universiti Utara Malaysia, Malaysia. Al-Masaeed, S., & Love, S. (2013). Mobile Government in Jordan: Is it a Step in the Right Direction? International Journal of Handheld Computing Research (IJHCR), 4(3), 93-116. Al-Mushasha, A., & Farouq, N. (2008). A Model for Mobile Learning Service Quality in University Environment. Doctoral Dissertation, Universiti Utara Malaysia, Malaysia. Al-Mushasha, N. F., & Hassan, S. (2009). A Model for Mobile Learning Service Quality in University Environment. International Journal of Mobile Computing and Multimedia Communications, 1(1), 70-91. Al-Nefaie, S. (2015). Investigating Factors Influencing Students’ Attitude and Performance When Using Web-Enhanced Learning in Developing Countries: The Case of Saudi Arabia. Doctoral dissertation, Brunel University London, UK. Al‐Qahtani, A. A., & Higgins, S. E. (2013). Effects of Traditional, Blended and E‐Learning on Students' Achievement in Higher Education. Journal of Computer Assisted Learning, 29(3), 220-234. Alrasheedi, M., & Capretz, L. F. (2018). Determination of critical success factors affecting mobile learning: a meta-analysis approach. arXiv preprint arXiv:1801.04288. Alrasheedi, M., & Capretz, L. F. (2018). Determination of critical success factors affecting mobile learning: a meta-analysis approach. arXiv preprint arXiv:1801.04288. Alrazooqi, M., & De Silva, R. (2010). Mobile and Wireless Services and Technologies for m-Government Solution Proposal for Dubai Government. WSEAS Trans. Info. Sci. and App, 7(8), 1037-1047. Al-Shafi, S., & Weerakkody, V. (2010). Factors Affecting E-government Adoption in the State of Qatar. Paper Presented at European and Mediterranean Conference on Information Systems, Abu Dhabi, UAE. Alshardan, A., Goodwin, R., & Rampersad, G. (2015). Measuring the Benefits of Information Systems in Small Organizations in Developing Countries. Computer and Information Science, 9(1), 1-20. Al-Shehri, S. (2014). Mobile Learning in the Arab World: Contemporary and Future Implications. In Xu, X. (Ed.), Interdisciplinary Mobile Media and Communications: Social, Political, and Economic Implications: Social, Political, and Economic Implications, (pp 48- 63). USA, IGI Global. Alshibly, H. H. (2014). Evaluating E-HRM Success: A Validation of the Information Systems Success Model. International Journal of Human Resource Studies, 4(3), 107-124. Alshwaier, A., Youssef, A., & Emam, A. (2012). A New Trend for E-learning in KSA Using Educational Clouds. Advanced Computing: An International Journal (ACIJ), 3(1), 81-97. ALSMADI, A. M., & Hilles, S. M. (2017). Trust and Service Quality That Influencing on the Acceptance of Mobile Learning Services among Student in Al-Madinah International University. International Journal of Contemporary Computer Research, 1(3), 12-14. Al-Sukkar, A. S. (2005). The Application of Information Systems in the Jordanian Banking Sector: a Study of the Acceptance of the Internet. Doctoral Disertation, University of Wollongong, Austratia. Al-Taie, M. Z., & Kadhim, A. M. (2013). Factors Disrupting a Successful Implementation of E-Commerce in Iraq. Paper presented at Conference: the Fourth Scientific Forum Held at Baghdad Collage of Economic Sciences University, Iraq. Al-Thunibat, A., Zin, N. A. M., & Sahari, N. (2011). Identifying User Requirements of Mobile Government Services in Malaysia Using Focus Group method. Journal of e-Government Studies and Best Practices, 2011, 1-14. Al-Wabil, N. (2015). Usability of Mobile Applications in Saudi Higher Education: An Exploratory Study. In HCI International 2015-Posters’ Extended Abstracts (pp. 201-205). Springer International Publishing. Al-zaza, N. S., & Yaakub, A. R. (2011). Student’s Mobile Information Prototype for the Higher Education Environment. American journal of economics and business administration, 3(1), 81-86. Amadi, G., & Paul, A. K. (2017). Perception of the Use Of Webquest for Academic Purposes Among Undergraduate Students in Rivers State, Nigeria. International Journal of Education, Learning and Development, 5(5), 1-11. Amoroso, D. L., &Magnier-Watanabe, R. (2012). Building a Research Model for Mobile Wallet Consumer Adoption: the case of Mobile Suica in Japan. Journal of theoretical and applied electronic commerce research, 7(1), 94-110. Andersen, K. V., & Henriksen, H. Z. (2006). E-government Maturity Models: Extension of the Layne and Lee Model. Government Information Quarterly, 23(2), 236-248. Anderson, E. W., & Sullivan, M. W. (1993). The Antecedents and Consequences of Customer Satisfaction for Firms. Marketing Science, 12(2), 125-143. Anderson, R. C. (1974). Concretization and Sentence Learning. Journal of Educational Psychology, 66(2), 179-183. Anohah, E., Oyelere, S. S., & Suhonen, J. (2017). Trends of Mobile Learning in Computing Education from 2006 to 2014: A Systematic Review of Research Publications. International Journal of Mobile and Blended Learning (IJMBL), 9(1), 16-33. Arambewela, R., & Hall, J. (2008). A Model of Student Satisfaction: International Postgraduate Students from Asia. European Advances in Consumer Research, 8(1), 129-135. Arman, A. A., & Wiyono, C. M. (2015, November). Design Of Organization Readiness Model For E-Learning Implementation. In Information Technology Systems and Innovation (ICITSI), 2015 International Conference on (pp. 1-6). IEEE. Asiimwe, E. N., Grönlund, Å., & Hatakka, M. (2017). Practices and challenges in an emerging m-learning environment. International Journal of Education and Development using Information and Communication Technology, 13(1), 103-122. Athanasopoulos, P. (2017). Study on the use of mobile devices in schools: the case of Greece. Revista de Estudios e Investigación en Psicología y Educación, (13), 319-324. Attaran, M. (2012). Critical Success Factors and Challenges of Implementing RFID in Supply Chain Management. Journal of Supply Chain and Operations Management, 10(1), 144-167. Attewell, J., & Savill-Smith, C. (2004). Mobile Learning and Social Inclusion: Focusing on Learners and Learning. Paper Presented at Learning with Mobile Devices, Research and Development Conference (mLearn), Rome (pp. 3-11). Aversano, N. (2005). Technology Rejection of Mobile Telephones. Doctoral Dissertation, Case Western Reserve Universty, United States. Avgerou, C., & Walsham, G. (Eds.). (2017). Information Technology in Context: Studies from the Perspective of Developing Countries: Studies from the Perspective of Developing Countries. Routledge. Babbie, E. R. (2008). The Basics of Social Research. Belmont, USA: Thomson Wadsworth. Badwelan, A., Drew, S., & Bahaddad, A. A. (2016). Towards acceptance m-learning approach in higher education in Saudi Arabia. International Journal of Business and Management, 11(8), 12. Baggaley, J., & Belawati, T. (2007). (Eds.). Distance Education Technology in Asia. Lahore, Pakistan: Virtual University of Pakistan. Baker, H. K., Singleton, J. C., & Veit, E. T. (2010). Survey Research in Corporate Finance: Bridging the Gap Between Theory and Practice. New York, USA: Oxford University Press. Balasubramanian, V., Ho, S. S., &Vovk, V. (Eds.). (2014). Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Waltham, MA, USA: Elsevier Inc. Bandyo-padhyay, N. (2002). E-commerce: Context, Concepts and Consequences. London, UK: McGraw-Hill. Barki, H., Titah, R., & Boffo, C. (2007). Information System Use-Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use. Information Systems Research, 18(2), 173-192. Barone, C. (2011). Some Things Never Change Gender Segregation in Higher Education Across Eight Nations and Three Decades. Sociology of Education,84(2), 157-176. Barroso, C., Carrión, G. C., & Roldán, J. L. (2010). Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model Handbook of Partial Least Squares (pp. 427-447): Springer. Baumgartner, H., & Homburg, C. (1996). Applications of Structural Equation Modelling in Marketing and Consumer Research: A Review. International journal of Research in Marketing, 13(2), 139-161. Belanger, H. G. (2005). Factors Moderating Neuropsychological Outcomes Following Mild Traumatic Brain Injury: A Meta-analysis. Journal of the International Neuropsychological Society, 11(03), 215-227. Bellaaj, M., Zekri, I., & Albugami, M. (2015). The Continued Use of E-Learning System: An Empirical Investigation Using Utaut Model at The University of Tabuk. Journal of Theoretical & Applied Information Technology, 72(3), 646-474. Bento, F., & Costa, C. J. (2013). ERP Measure Success Model; A New Perspective. Paper Presented at the Proceedings of the 2013 International Conference on Information Systems and Design of Communication (pp. 16-26). ACM. Bergh, J. (2002). Do Social Movements Matter to Organizations. An Institutional Theory Perspective on Corporate Responses to the Contemporary Environmental Movement. Doctoral Dissertation, Pennsylvania State University, USA. Bharati, P., & Chaudhury, A. (2006). Studying the current Status of Technology Adoption. Communications of the ACM, 49(10), 88-93. Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS quarterly, 25(3), 351-370. Bhattacherjee, A., & Premkumar, G. (2004). Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test. MIS quarterly, 28(2), 229-254. Bischoff, S., Aier, S., & Winter, R. (2014). An Exploration of Factors Influencing the Continuous Use of Business Intelligence Systems. Paper presented at the Multikonferenz Wirtschaftsinformatik Conference in Paderborn, Germany. Bitner, M. J., &Hubbert, A. R. (1994). Encounter Satisfaction Versus Overall Satisfaction Versus Quality. In Roland T. R & Richard L. O (Eds.), Service Quality: New Directions in Theory and Practice (pp72-94). Thousand Oaks, CA, USA: SAGE Publications, Inc. Borgatti, S. P. (1999). Elements of Research. Retrieved On October, 23rd , 2014 from http://www.analytictech.com/mb313/elements.htm Brown, E. G. (2004). Effects of Coding Dictionary on Signal Generation. Drug Safety, 25(6), 445-452. Brown, I., & Jayakody, R. (2008). B2C e-commerce success: A test and validation of a revised conceptual model. The Electronic Journal Information Systems Evaluation, 11(3), 167-184. Bryman, A., & Bell, A. (2015). Business Research Methods. Oxford University Press, USA. Carl-Erik, S., Bengt, S., & Jan, W. (2003). Model Assisted Survey Sampling. Springer-Verlag New York Inc. Castells, M., Fernandez-Ardevol, M., Qiu, J. L., & Sey, A. (2009). Mobile communication and society: A global perspective. USA, Mit Press. Cavus, N., & Ibrahim, D. (2009). M-Learning: An Experiment in Using SMS to Support Learning new English language Words. British Journal of Educational Technology, 40(1), 78-91. Chanchary, F. H., & Islam, S. (2011). Mobile learning in Saudi Arabia-prospects and challenges. Paper presented at the International Arab Conference on Information Technology (ACIT'2011). Zarqa University, Jordan. Chandra, V., Nehra, D., Parent, R., Woo, R., Reyes, R., Hernandez-Boussard, T., &Dutta, S. (2010). A Comparison of Laparoscopic and Robotic Assisted Suturing Performance by Experts and Novices. Surgery, 147(6), 830-839. Chang, T. K., Huang, H. F., & Chang, S. M. (2013). Understanding Educational Administrators’ Subjective Norms on Their Use Intention toward On-Line Learning. In 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing (pp. 267-273). Springer, Berlin, Heidelberg. Chatterjee, S., Chakraborty, S., Sarker, S., Sarker, S., & Lau, F. Y. (2009). Examining the Success Factors for Mobile Work in Healthcare: a Deductive Study. Decision Support Systems, 46(3), 620-633. Chen, & Cheng. (2009). Understanding Consumer Intention in Online Shopping: A Respecification and Validation of the DeLone and McLean Model. Behaviour & Information Technology, 28(4), 335-345. Cheng, B., Wang, M., Moormann, J., Olaniran, B. A., & Chen, N. S. (2012). The Effects of Organizational Learning Environment Factors on e-Learning Acceptance. Computers & Education, 58(3), 885-899. Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An Investigation of Mobile Learning Readiness in Higher Education Based on the Theory of Planned Behaviour. Computers & Education, 59(3), 1054-1064. Cheong, J., & Park, M. C. (2005). Mobile Internet Acceptance in Korea. Internet Research, 15(2), 125-140. Chiasson, M. W., &Lovato, C. Y. (2001). Factors Influencing the Formation of a User's Perceptions and Use of a DSS Software Innovation. ACM SIGMIS Database, 32(3), 16-35. Chismar, W. G., & Wiley-Patton, S. (2002). Test of the Technology Acceptance Model for the Internet in Pediatrics. In Proceedings of the AMIA Symposium (p. 155). American Medical Informatics Association. Chisnall, P. M. (1997). Marketing Research. London, UK, McGraw-Hill Chiu, & Chang. (2007). Examining the Integrated Influence of Fairness and Quality on Learners’ Satisfaction and Web‐based Learning Continuance Intention. Information systems journal, 17(3), 271-287. Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C., & Sun, P. C. (2005). Usability, Quality, Value and e-Learning Continuance Decisions. Computers & Education, 45(4), 399-416. Chiu, C.-M., & Wang, E. T. (2008). Understanding Web-based Learning Continuance Intention: The Role of Subjective Task Value. Information & Management, 45(3), 194-201. Chong, A. Y.-L., Ooi, K.-B., Lin, B., & Bao, H. (2012). An Empirical Analysis of the Determinants of 3G Adoption in China. Computers in Human Behavior, 28(2), 360-369. Chong, Cates, D., & Rauniar, R. (2010). Validity of Delone and Mclean's e-Commerce Model in B2C Student Loan Industry. Journal of International Technology and Information Management, 19(1), 75-96. Chounta, I. A., Manske, S., & Hoppe, H. U. (2017). ‘From Making to Learning’: Introducing Dev Camps as an Educational Paradigm for Re-inventing Problem based Learning. International Journal of Educational Technology in Higher Education, 14(1), 21. Chu, C. W., & Lu, H. P. (2007). Factors Influencing Online Music Purchase Intention in Taiwan: An Empirical Study Based on the Value-Intention Framework. Internet Research, 17(2), 139-155. Chung, B. Y., Skibniewski, M. J., Lucas Jr, H. C., & Kwak, Y. H. (2008). Analyzing Enterprise Eesource Planning System implementation Success Factors in the Engineering–Construction Industry. Journal of Computing in Civil Engineering, 22(6), 373-382. Churchill, A. G., Brown, J. T., & Suter, A. T. (2010). Basic Marketing Research (7th ed.). Australia, South-Western Cengage Publication. Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2017). E-learning success determinants: Brazilian empirical study. Computers & Education. Cochrane, T. D. (2010). Exploring Mobile Learning Success Factors. Alt-j, 18(2), 133-148. Cohen, S. H., Gerding, D. N., Johnson, S., Kelly, C. P., Loo, V. G., McDonald, L. C., & Wilcox, M. H. (2010). Clinical practice guidelines for Clostridium Difficile Infection in Adults: 2010 Update by the Society for Healthcare Epidemiology of America (SHEA) and the Infectious Diseases Society of America (IDSA). Infection Control and Hospital Epidemiology, 31(05), 431-455. Colton, D., & Covert, R. W. (2007). Designing and Constructing Instruments for Social Research and Evaluation. San Francisco, CA: John Wiley & Sons. Conrath, D. W., & Mignen, O. P. (1990). What is Being Done to Measure User Satisfaction with EDP/MIS. Information & Management, 19(1), 7-19. Creswell, Pacilio, Lindsay, & Brown. (2014). Brief Mindfulness Meditation Training Alters Psychological and Neuroendocrine Responses to Social Evaluative Stress. Psychoneuroendocrinology, 44, 1-12. Creswell. (2009). Research design: Qualitative, Quantitative, and Mixed Methods Approaches (3rd ed.). USA: SAGE Publications, Inc. Creswell. (2012). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (4th ed.). USA: SAGE Publications, Inc. Cronbach, L. J. (1957). The Two Disciplines of Scientific Psychology. American Psychologist, 12(11), 671-684. Dadayan, L., Ferro, E.: When technology meets the mind: A comparative study of the technology acceptance model. In: Wimmer, M.A., Traunmüller, R., Grönlund, Å., Andersen, K.V. (eds.) EGOV 2005. LNCS, vol. 3591, pp. 137–144. Springer, Heidelberg (2005) Dai, W., Yang, Q., Xue, G. R., & Yu, Y. (2007, June). Boosting for Transfer Learning. In Proceedings of the 24th International Conference on Machine Learning (pp. 193-200). ACM. Daneshgar, F., & Parirokh, M. (2007). A Knowledge Schema for Organisational Learning in Academic Libraries. Knowledge Management Research & Practice, 5(1), 22-33. Darsono, L. I. (2005). Examining Information Technology Acceptance by Individual Professionals. Gadjah Mada International Journal of Business, 7(2), 155-178. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS quarterly,13(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. DeLone, W. H., & McLean, E. R. (1992). Information Systems Success: the Quest for The Dependent Variable. Information Systems Research, 3(1), 60-95. Delone, W. H., & McLean, E. R. (2003). The Delone and Mclean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. Delone, W. H., & Mclean, E. R. (2004). Measuring E-Commerce Success: Applying the Delone & Mclean Information Systems Success Model. International Journal of Electronic Commerce, 9(1), 31-47. DeSanctis, G. L. (1982). An Examination of an Expectancy Theory Model of Decision Support System Use. Doctoral Dissertation, Texas Tech University, USA. Duraipandian, I., & Rakesh, T. (2011). Empirical Study of Factors Influencing Acceptance of E-Government Services in India. Paper Presented at the Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance. New York, USA. Dwivedi, Y. K., Kapoor, K. K., Williams, M. D., & Williams, J. (2013). RFID Systems in Libraries: An Empirical Examination of Factors Affecting System Use and User Satisfaction. International Journal of Information Management, 33(2), 367-377. Dwivedi, Y. K., Papazafeiropoulou, A., Brinkman, W.-P., & Lal, B. (2010). Examining the Influence of Service Quality and Secondary Influence on The Behavioural Intention to Change Internet Service Provider. Information Systems Frontiers, 12(2), 207-217. Earl, B. (2011). The Basics of Social Research (5th ed.). USA: Belmont Wadsworth. Elgort, I. (2005,). E-Learning Adoption: Bridging the Chasm. Ascilite. 181-185. El-Hussein, M. O. M., & Cronje, J. C. (2010). Defining Mobile Learning In The Higher Education Landscape. Journal of Educational Technology & Society, 13(3). El-Kiki, T., & Lawrence, E. (2006). Mobile User Satisfaction and Usage Analysis Model of Mgovernment Services. Paper Presented at the Proceedings of Euro mGov (pp. 91-102). El-Kiki, T., Lawrence, E., & Steele, R. (2005). A Management Framework for Mobile Government Services. Collaborative Electronic Commerce Technology and Research. Paper Presented at Proceedings of CollECTeR, Sydney, Australia. Eteokleous, N., &Ktoridou, D. (2009). Investigating Mobile Devices Integration in Higher Education in Cyprus: Faculty Perspectives. International Journal of Interactive Mobile Technologies, 3(1), 38-48. Faaeq, M. K. (2014). Factors Affecting Continued Usage Intention of Electronic Government Among Public Servants in Iraq. Doctoral Dissertation, University Utara Malaysia. Malaysia. Faaeq, M. K., Ismail, N. A., Osman, W. R. S., Al–Swidi, A. K., & Faieq, A. K. (2013). A Meta–Analysis of the Unified Theory of Acceptance and Use of Technology Studies Among Several Countries. Electronic Government, an International Journal, 10(3-4), 343-360. Fadhil, N. A., Osman, W. R., Nather, I. T., Al-Saadi, T. A., & Al-Khafaji, N. J. (2014). Mobile Technology in the Iraq Context: Design Mobile Application Prototype for the Election of Directors for Departments in the Ministry of Science and Technology. Paper Presented at the Proceedings of 5th SARC-IRF International Conference, New Delhi, India. Fang, X., Chan, S., Brzezinski, J., & Xu, S. (2005). Moderating Effects of Task Type on Wireless Technology Acceptance. Journal of Management Information Systems, 22(3), 123-157. Farrow, E. G., Yu, X., Summers, L. J., Davis, S. I., Fleet, J. C., Allen, M. R., & Garringer, H. J. (2011). Iron Deficiency Drives an Autosomal Dominant Hypophosphatemic Rickets (ADHR) Phenotype in Fibroblast Growth Factor-23 (Fgf23) Knock-in Mice. Paper Presented at the Proceedings of the National Academy of Sciences, 108(46), E1146-E1155. FernáNdez-LóPez, Á., RodríGuez-FóRtiz, M. J., RodríGuez-Almendros, M. L., & MartíNez-Segura, M. J. (2013). Mobile learning technology based on iOS devices to support students with special education needs. Computers & Education, 61, 77-90. Ferreira, J. B., Klein, A. Z., Freitas, A., & Schlemmer, E. (2013). Mobile learning: definition, uses and challenges. In Laura A. Wankel, Patrick Blessinger (ed.) Increasing Student Engagement and Retention Using Mobile Applications: Smartphones, Skype and Texting Technologies (Cutting-edge Technologies in Higher Education, Volume 6 Part D) Emerald Group Publishing Limited, 47-82. Filstad, C., & Gottschalk, P. (2010). Creating a Learning Organization in Law Enforcement: Maturity Levels for Police Oversight Agencies. The Learning Organization, 17(5), 404-418. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. Reading, Mass : Addison-Wesley. Flavián, C., & Guinalíu, M. (2006). Consumer Trust, Perceived Security and Privacy Policy: Three Basic Elements of Loyalty to a Web Site. Industrial Management & Data Systems, 106(5), 601-620. Flavián, C., Guinalíu, M., & Gurrea, R. (2006). The Role Played by Perceived Usability, Satisfaction and Consumer Trust on Website Loyalty. Information & Management, 43(1), 1-14. Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M. (2010). Measuring the Success of the Greek Taxation Information System. International Journal of Information Management, 30(1), 47-56. Fowler, F. J. (2002). Survey Research Methods. London, UK: SAGE Publications Inc. Frankfort-Nachmias, & Nachmias. (2000). Research Methods in the Social Sciences (6th ed.). USA: New York Worth. Fuerst, W. L., & Cheney, P. H. (1982). Concepts, Theory, and Techniques: Factors Affecting the Perceived Utilization of Computer‐Based Decision Support Systems in the Oil Industry. Decision Sciences, 13(4), 554-569. Fusilier, M., & Munro, D. (2014). Enterprising University Put to the Test: Transnational Education in the Middle East. Journal of Cases in Educational Leadership, 17(2), 76-93. Garrison, D. R. (2011). E-learning in the 21st Century: A Framework for Research and Practice. New York, USA: Routledge Gebauer, J., & Shaw, M. J. (2004). Success Factors and Impacts of Mobile Business Applications: Results from a Mobile E-Procurement Study. International Journal of Electronic Commerce, 8(3), 19-41. Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural Equation Modelling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems, 4(1), 1-70. Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability Estimation in a Multilevel Confirmatory Factor Analysis Framework. Psychological Methods, 19(1), 72-91. George, J. F. (2004). The Theory of Planned Behaviour and Internet Purchasing. Internet Research, 14(3), 198-212. Georgescu, M. (2010). Mobile Government: An Emerging Direction. Analele Stiintifice ale Universitatii’ Alexandru Ioan Cuza’ din Iasi-Stiinte Economice, 2010, 379-386. Georgiev, T., Georgieva, E., & Smrikarov, A. (2004). M-Learning a New Stage of Е- Learning. In International Conference on Computer Systems and Technologies- CompSysTech, 4(28), 1-4. Ghandour, A., Deans, K., Benwell, G., & Pillai, P. (2008). Measuring eCommerce website success. Proceedings In 19th Australasian Conference on Information Systems ACIS, University of Canterbury, Christchurch, New Zealand. Ginzberg, M. J. (1981). Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions. Management Science, 27(4), 459-478. Gitte, L. (1994). Usability Testing and System Evaluation: A Guide for Designing Useful Computer Systems. London: Chapman & Hall. Glood, S. H., Osman, W. R. S., & Nadzir, M. M. (2016). The Effect of Civil Conflicts and Net Benefits on M-Government Success of Developing Countries: A Case Study Of Iraq. Journal of Theoretical and Applied Information Technology, 88(3), 541-552. Gong, M., Xu, Y., & Yu, Y. (2004). An Enhanced Technology Acceptance Model for Web- Based Learning. Journal of Information Systems Education, 15(4), 365-374. Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational Impact of System Quality, Information Quality, and Service Quality. The Journal of Strategic Information Systems, 19(3), 207-228. Grenier, D. (2018). The Relationship between Mobile Learning and Academic Achievement in a Community College System Online Environment. Guimaraes, T., & Igbaria, M. (1997). Client/Server System Success: Exploring the Human Side. Decision Sciences, 28(4), 851-876. Gunasekaran, A., Ngai, E. W., & McGaughey, R. E. (2006). Information Technology And Systems Justification: A Review for Research and Applications. European Journal of Operational Research, 173(3), 957-983. Gupta, B., Dasgupta, S., & Gupta, A. (2008). Adoption of ICT in a Government Organization in a Developing country: An Empirical Study. The Journal of Strategic Information Systems, 17(2), 140-154. Hair, Black, Babin, & Anderson. (2010). Multivariate Data Analysis (7th ed.). Upper Saddle River, NJ, USA: Pearson Prentice Hall. Hair, Black, Babin, Anderson, & Tatham. (2006). Multivariate Data Analysis (Vol. 6). Upper Saddle River, NJ, USA: Pearson Prentice Hall. Hair, Hult, Ringle, & Sarstedt. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). California, USA: SAGE Publications, Inc. Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling. Los Angeles, CA: SAGE. Hair, J., Black, B. B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis (6th edition). Upper Saddle River NJ: Prentice-Hall. Hair, Sarstedt, Ringle, & Mena. (2011). An Assessment of the Use of Partial Least Squares Structural Equation Modelling in Marketing Research. Journal of the Academy of Marketing Science, 40(3), 414-433. Halawi, L. A., McCarthy, R. V., & Aronson, J. E. (2008). An Empirical Investigation of Knowledge Management Systems' Success. Journal of Computer Information Systems, 48(2), 121-135. Hamdy, H. I., & Al-Enezi, M. Z. (2009). Effect of Management Support, Training, and User Involvement on System Usage and Satisfaction in Kuwait. Industrial Management & Data Systems, 109(3), 338-356. Hameed, A. G., Shukur, B. S., Al-Khafaji, N. J., & Al-Farhan, H. A. (2014). Utilizing Mobile Applications as a Channel of Interaction between the Citizens and the Government: Design M-police in Iraq. Paper presented at the Third International Conference on e-Technologies and Networks for Development (ICeND).