User acceptance of social learning systems in higher education: an application of the extended Technology Acceptance Model

References

• Adams, A., & Blanford, A. (2003). Security and online learning: To protect or prohibit. In C. Ghaoui (Ed.), Usability evaluation of online learning programs (pp. 331–359). Hershey, PA: Information Science Publishing/IGI Global.10.4018/978-1-59140-105-6
   Google Scholar
• Ala-Mutka, K. (2010). Learning in informal online networks and communities. JRC Scientific and Technical Report. Retrieved from http://ipts.jrc.ec.europa.eu/publications/pub.cfm?id=3059
   Google Scholar
• Al-Gahtani, S. S. (2011). Modeling the electronic transactions acceptance using an extended technology acceptance model. Applied Computing and Informatics, 9, 47–77. doi:10.1016/j.aci.2009.04.001
   Google Scholar
• Aliyu, M., Abdallah, N. A. O., Lasisi, N. A., Diyar, D., & Zeki, A. M. (2010, December). Computer security and ethics awareness among IIUM students: An empirical study. In Proceedings of the International Conference on Information and Communication Technology for the Muslim World (ICT4M) (pp. A52–A56). Jakarta, Indonesia. doi:10.1109/ICT4M.2010.5971884
   Google Scholar
• Boujettif, M., & Yongge, W. (2010, November). Constructivist approach to information security awareness in the Middle East. In Proceedings of the International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA) (pp. 192–199). Fukuoka, Japan. doi:10.1109/BWCCA.2010.70
   Google Scholar
• Brey, P. (2000). Disclosive computer ethics. Computers and Society, 9, 10–16. doi:10.1145/572260.572264
   Google Scholar
• Bull, G., Thompson, A., Searson, M., Garofalo, J., Park, J., Young, C., & Lee, J. (2008). Connecting informal and formal learning experiences in the age of participatory media. Contemporary Issues in Technology and Teacher Education, 8, 100–107.
   Google Scholar
• Calluzzo, V. J., & Cante, C. J. (2004). Ethics in ınformation technology and software use. Journal of Business Ethics, 51, 301–312. doi:10.1023/B:BUSI.0000032658.12032.4e
   Web of Science ®Google Scholar
• Chen, H., Hsu, C., Chang, C., & Huang, Y. (2012, July). Applying the technology acceptance model to evaluate the learning companion recommendation system on Facebook. In Proceedings of the IEEE Fourth International Conference on Technology for Education (pp. 160–163). Hyderabad, India. doi:10.1109/T4E.2012.36
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of ınformation technology. MIS Quarterly, 13, 319–340.10.2307/249008
   Web of Science ®Google Scholar
• Dinev, T., Jahyun, G., Qing, H., & Kichan, N. (2006, June). User behavior toward preventive technologies – Cultural differences between the United States and South Korea. In Proceedings of the ECIS 2006, Paper 9. Göteborg, Sweden. Retrieved from http://aisel.aisnet.org/ecis2006/9
   Google Scholar
• Duggan, A., Hess, B., Morgan, D., Kim, S., & Wilson, K. (2001, August). Measuring students’ attitudes toward educational use of the Internet. Journal of Educational Computing Research, 25, 267–281.
   Google Scholar
• Dwyer, C., Hiltz, S. R., & Passerini, K. (2007). Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace. In Proceedings of the AMCIS Paper 339. Colorado, USA. Retrieved from http://aisel.aisnet.org/amcis2007/339
   Google Scholar
• Gefen, D., & Straub, D. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the Association for Information Systems, 1, 1–28. Retrieved from http://aisel.aisnet.org/jais/vol1/iss1/8
   Google Scholar
• Glass, R., & Wood, W. (1996). Situational determinants of software piracy: An equity theory perspective. Journal of Business Ethics, 15, 1189–1198. doi:10.1007/BF00412817
   Web of Science ®Google Scholar
• Goles, T., Jayatilaka, B., George, B., Parsons, L., Chambers, V., Taylor, D., & Brune, R. (2008). Softlifting: Exploring determinants of attitude. Journal of Business Ethics, 77, 481–499. doi:10.1007/s10551-007-9361-0
   Web of Science ®Google Scholar
• Govani, T., & Pashley, H. (2005). Student awareness of the privacy implications when using Facebook. Unpublished paper presented at the Privacy Poster Fair at the Carnegie Mellon University School of Library and Information Science. Retrieved from http://lorrie.cranor.org/courses/fa05/tubzhlp.pdf
   Google Scholar
• Guo, S., Wang, M., & Leskovec, J. (2011, June). The role of social networks in online shopping: Information passing, price of trust, and consumer choice. In Proceedings of the EC ‘11, 12th ACM Conference on Electronic Commerce (pp. 157–166). San Jose, CA, USA. doi:10.4018/978-1-59140-105-610.1145/1993574
   Google Scholar
• Holotescu, C., & Grosseck, G. (2012, April). An empirical analysis of the educational effects of social media in universities and colleges. In Proceedings of the 8th International Scientific Conference eLearning and Software for Education (Vol. 1, pp. 167–174). Bucharest.
   Google Scholar
• Humaidi, N., & Balakrishnan, V. (2012, April). The influence of security awareness and security technology on users’ behavior towards the implementation of health information system: A conceptual framework. In Proceedings of the 2nd International Conference on Management and Artificial Intelligence (IPEDR) (Vol. 35, pp. 1–6). Thailand: IACSIT Press.
   Google Scholar
• Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the technology acceptance model. Computers & Education, 61, 193–208. doi:10.1016/j.compedu.2012.10.001
   Web of Science ®Google Scholar
• Lee, J.-S., Cho, H., Gay, G., Davidson, B., & Ingraffea, A. (2003). Technology acceptance and social networking in distance learning. Educational Technology & Society, 6, 50–61.
   Web of Science ®Google Scholar
• Lee, Y., Hsieh, Y., & Chen, Y. (2013). An investigation of employees’ use of e-learning systems: Applying the technology acceptance model. Behaviour and Information Technology, 32, 173–189. doi:10.1080/0144929X.2011.577190
   Web of Science ®Google Scholar
• Moqbel, M. (2012, February/March). Explaining user acceptance of social networking: Employee’s perspective. In: Proceedings of the Southwest Decision Science Institute Forty Third Annual Conference (pp. 110–218). New Orleans, LA.
   Google Scholar
• Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management (IJSM), 3, 36–51.
   Google Scholar
• Redecker, C., Ala-Mutka, K., & Punie, Y. (2010). Learning 2.0 – The impact of social media on learning in Europe: Policy Brief. Luxembourg: JRC Technical Notes.
   Google Scholar
• Sie, R. L. L., Pataraia, N., Boursinou, E., Rajagopal, K., Margaryan, A., Falconer, I., … Sloep, P. B. (2013). Goals, motivation for, and outcomes of personal learning through networks: Results of a Tweetstorm. Educational Technology & Society, 16, 59–75.
   Web of Science ®Google Scholar
• Sykes, T. A., Venkatesh, V., & Gosain, S. (2009). Model of acceptance with peer support: A social network perspective to understand individual-level system use. MIS Quarterly, 33, 371–393.
   Web of Science ®Google Scholar
• Taherdoost, H., Jalaliyoon, N., Namayandeh, M., Forghani, A., & Zamani, M. (2011, June). Adoption framework expansion based on the computer ethics’ related research models and ethical scenarios analysis. In Proceedings of the 2010 International Conference on Economics, Business and Management, IPEDR (Vol. 2, pp. 219–223). Manila, Philippines: IACS IT Press.
   Google Scholar
• Tess, P. A. (2013). The role of social media in higher education classes (real and virtual) – A literature review. Computers in Human Behavior, 29, A60–A68. doi:10.1016/j.chb.2012.12.032
   Web of Science ®Google Scholar