The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction

Nowadays, Facebook is one of the most popular Social Networking Sites (SNS) among the tertiary education students. This site is seen to be used as technology alternative to support the main Learning Management System (LMS) that is provided by the university. However, the real situation nowadays, the...

Full description

Saved in:

Bibliographic Details
Main Author:	Nur Fathiah, Mohd Bashri
Format:	Thesis
Language:	eng eng eng
Published:	2016
Subjects:	HM Sociology.
Online Access:	https://etd.uum.edu.my/6762/1/depositpermission_s814178.pdf https://etd.uum.edu.my/6762/2/s814178_01.pdf https://etd.uum.edu.my/6762/3/s814178_02.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uum-etd.6762
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Mat Yamin, Fadhilah
topic	HM Sociology.
spellingShingle	HM Sociology. Nur Fathiah, Mohd Bashri The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction
description	Nowadays, Facebook is one of the most popular Social Networking Sites (SNS) among the tertiary education students. This site is seen to be used as technology alternative to support the main Learning Management System (LMS) that is provided by the university. However, the real situation nowadays, the students prefer to use Facebook compares to LMS as their e-Learning tool for communicating and sharing knowledge among them. Two well-known models are integrated in this study which is Unified Theory of Acceptance and Use of Technology (UTAUT) and End User Computing Satisfaction (EUCS) for better understanding the vital factors that stimulate students' Behavioural Intention (BI) in using Facebook as e-Learning tool. The sample size comprised of 472 students in Malaysia's Public Universities taken through the quota sampling technique. Thus, the total of 411 usable questionnaires was used for further analysis. Based on data analysis by utilizing PLS SEM method, the results supported the hypothesized of direct effects relationship between all four core factors of UTAUT (Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions) and EUCS on BI. Meanwhile, EUCS mediated the relationship between all four core factors of UTAUT on BI. These findings also supported the view that the integration between satisfaction and acceptance models increases the exploratory power on the users' behaviour of interest in using information technology. Lastly, theoretical, methodological and practical implications are discussed.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Nur Fathiah, Mohd Bashri
author_facet	Nur Fathiah, Mohd Bashri
author_sort	Nur Fathiah, Mohd Bashri
title	The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction
title_short	The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction
title_full	The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction
title_fullStr	The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction
title_full_unstemmed	The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction
title_sort	behavioural intention to use facebook among malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction
granting_institution	Universiti Utara Malaysia
granting_department	School of Technology Management & Logistics
publishDate	2016
url	https://etd.uum.edu.my/6762/1/depositpermission_s814178.pdf https://etd.uum.edu.my/6762/2/s814178_01.pdf https://etd.uum.edu.my/6762/3/s814178_02.pdf
_version_	1747828113649172480
spelling	my-uum-etd.67622018-05-27T01:13:57Z The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction 2016 Nur Fathiah, Mohd Bashri Mat Yamin, Fadhilah School of Technology Management & Logistics School of Technology Management & Logistics HM Sociology. Nowadays, Facebook is one of the most popular Social Networking Sites (SNS) among the tertiary education students. This site is seen to be used as technology alternative to support the main Learning Management System (LMS) that is provided by the university. However, the real situation nowadays, the students prefer to use Facebook compares to LMS as their e-Learning tool for communicating and sharing knowledge among them. Two well-known models are integrated in this study which is Unified Theory of Acceptance and Use of Technology (UTAUT) and End User Computing Satisfaction (EUCS) for better understanding the vital factors that stimulate students' Behavioural Intention (BI) in using Facebook as e-Learning tool. The sample size comprised of 472 students in Malaysia's Public Universities taken through the quota sampling technique. Thus, the total of 411 usable questionnaires was used for further analysis. Based on data analysis by utilizing PLS SEM method, the results supported the hypothesized of direct effects relationship between all four core factors of UTAUT (Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions) and EUCS on BI. Meanwhile, EUCS mediated the relationship between all four core factors of UTAUT on BI. These findings also supported the view that the integration between satisfaction and acceptance models increases the exploratory power on the users' behaviour of interest in using information technology. Lastly, theoretical, methodological and practical implications are discussed. 2016 Thesis https://etd.uum.edu.my/6762/ https://etd.uum.edu.my/6762/1/depositpermission_s814178.pdf text eng staffonly https://etd.uum.edu.my/6762/2/s814178_01.pdf text eng public https://etd.uum.edu.my/6762/3/s814178_02.pdf text eng public masters masters Universiti Utara Malaysia Abdelraheem, A.Y. (2013, January). University students' use of social networks sites and their relation with some variables. Proceedings: WEI International Academic Conference Proceedings (pp. 31 -39). Abdinnour-Helm, S. F., Chapparro, B. S., & Farmer, S. M. (2005). Using the end user computing satisfaction (EUCS) instrument to measure satisfaction with a web site. Decision Sciences, 36(2), 341-364. Abdul-Rahman, A.L., Jamaludin, A. & Mahmud, Z. (2011). Intention to use digital library based on modified UTAUT model: Perspectives of Malaysian postgraduate students. World Academy of Science, Engineering and Technology, 51, 116-122. Abu-Shanab, E. & Pearson, J.M. (2007). Internet banking in Jordon: The unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Systems and Information, 9(1), 78-97. doi: 10.1108113287260710817700 Aggelidis, V. P., & Chatzoglou, P. D. (2012). Hospital information systems: Measuring end user computing satisfaction (EUCS). Journal of Biomedical Informatics, 45(3), 56 & 579. doi: 10.1016lj.jbi.2012.02.009 Aghaei, M., Salehi, A., Shahrbabak, M.M., Abyari, M. & Vazirifar, A. H. (2012). Ict's impacts on social networking websites and rate of people's satisfaction of Facebook in Malaysia. International Journal of Science and Research Publications, 2(1), 1-6. Ainin, S., Naqshbandi, M.M., Moghawemi, S., & Jaafar, N.I. (2015). Facebook usage,socialization and academic performance. Computers & Education, 83, 64-73. Ajzen, I. (1991). The theory of planned behaviour. Organizational behaviour and Human Decision Processes, 50, 179-211. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social Behaviour. Englewood Cliffs, NJ: Prentice-Hall. Aksoy, L., Riel, A. V., Kandampully, J., Bolton, R. N., Parasurarnan, A., Hoefnagels, A., Migchels, N., Kabadayi, S., Gruber, T., Loureiro, Y.K., & Solnet, D. (2013). Understanding generation Y and their use of social media: a review and research agenda. Journal of Service Management, 24(3), 245-267. Akyildiz, M. & Argan, M. (2011). Using online social networking: Students' purpose of Facebook usage at the University of Turkey. Journal of Technology Research, 3(1), 1-11. Alexa.com (2015). Top sites in Malaysia. Retrieved from http://www.alexa.com/topsites/countries/MY Al-Gahtani, S.S., Hubona, G.S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia culture and the acceptance and use of IT. Information and Management, 44, 681-691. Alharbi, S. & Drew, S. (2014, August). Mobile learning system usage: An integrated framework to measure students' behavioural intention. Proceedings: Science and Information Conference (pp.906-911). Alhazmi, A. K., & Abdul-Rahman, A. (2012a). Learning Management Systems from Popularity to Decline: Success, Failure and the Future Use. Journal of Computing, 4(3), 78-82. Alhazmi, A. K., & AbdulRahman, A. (2012b). Why LMS failed to support student learning in higher education institutions. Proceedings: IEEE Symposium on ELearning, E-Management and E-Services, 1-5. doi: 10.l109/IS3e.2012.6414943 Allen, M. (2012). An education in Facebook. Digital Culture & Education, 4(3), 213-225. Alloway, T. P., Horton, J., Alloway, R. G., & Dawson, C. (2013). Computers & Education Social networking sites and cognitive abilities : Do they make you smarter ? Computers & Education, 63, 10-16. doi: 10.1016/j.compedu.2012.10.030 Alenezi, A.M., & Shahi, K.K. (2015). Interactive e-Learning through second life with blackboard technology. Procedia-Social and Behavioural Sciences, 176, 891-897. Almadhoun, N.M., Lai, F.W., & Dominic, D.D. (2012). An examination of social networkings sites usage among the students in the Malaysian universities. Proceedings: International Conference on Management, Economics and Finance (ICMEF) Proceeding (pp.901-908). Al-rahimi, W. M., Othman, M. S., & Musa, M. A. (2013). Using TAM model to measure the use of social media for collaborative learning. International Journal of Engineering Trends and Technology (IJETT), 5(2), 90-95. Al-rahmi, W., & Othman, M. (2013). The Impact of Social Media use on Academic Performance among university students: A Pilot Study. Journal of Information Systems Research and Innovation, 1-10. Amoako-Gyampah, K., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41(6), 731-745. Anderson, J.E., Schwager, P.H. & Kerns, R.L. (2006). The drivers for acceptance of tablet PCs by faculty in a College of Business. Journal of Information Systems Education, 17 (4), 429-40. Armstrong, J. S., & Overton, T. S. (1977). Estimating Nonresponse Bias in Mail Surveys. Journal of Marketing Research, 14, 396-402. Ary, D., Jacobs, C.J., Razavieh, A., & Sorenson C.K. (2009). Introduction to research in education (8th ed). Wadsworth Publishing. Asiri, M. J., Mahmud, R. B., Abu Bakar, K., & Mohd Ayub, A. F. Bin. (2012). Factors Influencing the Use of Learning Management System in Saudi Arabian Higher Education: A Theoretical Framework. Higher Education Studies, 2(2), 125-137. doi: 10.5539/hes.v2n2p125 Askar, P. (2011). Social network analysis for e-learning environments. Procedia-Social and Behavioural Sciences, 28, 992. Attuquayefio, S. & Addo, H. (2014). Review of studies with UTAUT as conceptual framework. European Scientific Journal, 10(8), 249-258. Au, lV., Ngai, E. & Cheng T. (2002). A critical review of end-user information system satisfaction research and new research framework, Omega, 30(6), 451-478. Awan, F., & Gauntlett, D. (2013). Young people's uses and understanding of online social networks in their everyday lives. Young, 21(2), 111-132. doi: 10.1177/1103308813477463 Aypay, A., Celik, H.C., Aypay, A., & Sever, M. (2012). Technology acceptance in education: A study of pre-service teachers in Turkey. The Turkish Online Journal of Educational Technology (TOJET), 11(4), 264-272. Ayu, A. R. R., & Abrizah, A. (2011). Do you Facebook? Usage and applications of Facebook pages among academic libraries in Malaysia. International Information & Library Review, 43(4), 239-249. doi: 10.1016/j.iilr.2011.10.005 Aziz, J. A., Shah, P. M., Din, R., Puteh, S. N., Rahamat, R., & Bipachandra, J. S. (2014). The Process of Validation of Instrument Used for Teaching in a 2.0, Learning Environment. Procedia - Social and Behavioral Sciences, 118, 1-9. doi:l0.1016/j.sbspro.2014.02.001 Baboo, S.B., Pandian, A., Mustafa, M, Backer, M.B., Subramaniam, I., & Yi, L.J. (2012). Captivated with Facebook: Constructions, Contexts and Consequences. Media Matter: Networked Media Content Research Report, 2, 26-46. Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94. doi: 10.1007/bfO2723327 Bailey, J., & Pearson, S. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545 Balakrishnan, V., & Shamim, A. (2013). Malaysian Facebookers : Motives and addictive behaviours unraveled. Computers in Human Behavior, 29, 1342-1349. Baltaci-Goktalay, S. & Ozdilek, Z. (2010). Pre-service teachers' perceptions about web 2.0 technologies. Procedia Social and Behavioural Sciences, 2, 4737-4741. doi: 10.1016/j.sbspro.2010.03.760 Bankole, F.O., Bankole, O.O., Brown, I. (2011). Mobile banking adoption in Nigeria. EJISDC, 47(2), 1-23. Barker, V. (2009). Older' adolescents' motivations for social network site use: The influence of gender, group identity, and collective self-esteem. Cyber Psychology & Behavior, 12(2), 209-213. Barnatt, C. (2009). Higher Education 2.0. The International Journal of Management Education, 7(3), 47-56. doi:10.3794/ijme.73.250 Baron, R., & Kenny, D. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-82. Barrett E. & Lally V. (1999) Gender differences in an online learning environment. Journal of Computer Assisted Learning, 15, 48-60. BBC Worldwide. Inside Facebook HQ - Mark Zuckerberg - Inside Facebook - BBC. Retrieved from https://www.youtube.com/watch?v=cGEb-q5JM on 2013, July 19. Belanche, D., Casalo, L.V., & Guinaliu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19, 124-132. Bernard M., Mills M. & Friend C. (2000) Male and female attitudes towards computer-mediated group interactions. Internet publication for Usability News. Retrived from, http://www.surl.org/usabilitynews/22/gender.asp Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 36(3), 421-458. Blanche W. OYBannon, Jeffrey L. Beard & Virginia G. Britt (2013) Using a Facebook Group As an educational tool: Effects on student achievement, computers in the schools. Interdisciplinary Journal of Practice, Theory, and Applied Research, 30(3), 229-247. doi: 10.1080/07380569.20 13.805972 Blumberg, B., Cooper, D. R., & Schindler, P. S. (2005). Business Research Methods (1st ed.). United Kingdom: McGraw-Hill Higher Education. Bohn, A., Buchta, C., Hornik, K. & Mair, P. (2014). Making friends and communicating on Facebook: Implications for the access to social capital. Social Networks, 37, 29-41. Borrero, J.D., Yousafzai, S. Y., Javed, U., Page, K. L. (2014). Expressive participation in Internet social movements: Testing the moderating effect of technology readiness and sex on student SNS use. Computers in Human Behaviour, 30, 39-49. doi.org/10.1016/j.chb.2013.07.032 Bosch, T.E. (2009) Using online social networking for teaching and learning: Facebook use at the University of Cape Town. Communication: South African Journal for Communication Theory and Research, 35(2), 185-200, doi: 10.1080/02500160903250648 Boulos, M. N. K., Maramba, I., & Wheeler, S. (2006). Wikis, blogs and podcasts : a new generation of Web-based tools for virtual collaborative clinical practice and education. BMC Med Edu, 6(41), 1-8. doi: 10.1186/1472-6920-6-41 Boyd, D. M., & Ellison, N. B. (2008). Social Network Sites : Definition, History, and Scholarship. Journal of Computer-Mediated Communication, 13, 210-230. doi: 10.111l/j.1083-6101.2007.00393.x Brandtzaeg, P.B ., & Nov, O. (2011). Facebook use and social capital-A longitudinal study. Proceedings: Fifth International AAAI Conference on Weblogs and Social Media. (pp. 454-457). Broadbent, B. (2002). ABCs of e-learning: Reaping the benejts and avoiding the pitfalls (1st ed.). San Francisco: Jossey-Bass1 Pfeiffer. Broder, H.L., McGrath C., Cisneros G.J. (2007). Questionnaire development: face validity and item impact testing of the child oral health impact profile. Community Dent Oral Epidemiology, 35 (1), 8-19. Brown, S.A. (2012). Seeing web 2.0 in context: A study of academic perceptions. Internet and Higher Education, 1.5, 50-57. Bugeja, M.J. (2007). Facing the Facebook. The Chronicle of Higher Education, 52(21), 1-3. Buhari, S.R., Ahmad, G.I., & HadiAshara, B. (2014). Use of social media among students of Nigerian Polytechnic. Proceedings: International Conference on Communication Media, Technology and Design. (pp.302-305). Byrne, B. (2010). Structural Equation Modeling With AMOS (2nd ed.): Taylor & Francis Group Cabral, J., (2011). Is generation Y addicted to social media? The Elon Journal of Undergraduate Research in Communications, 2(1), 5-14. Cain, J., & Policastri, A. (2011). Instructional design and assessment: Using. Facebook as an informal learning environment. American Journal of Pharmaceutical Education, 75(10), 207, 1-8. Cavus, IV. (2015). Distance learning and learning management system. Procedia-Social and Behavioural Sciences, 191, 872-877. Cavus, N., & Zabadi, T. (2014). A comparison of open source learning management system. Procedia-Social and Behavioral Sciences, 143, 521-526. Ceccucci, W., Peslak, A., Merrimack, S. (2010). An empirical study of behavioral factors influencing text messaging intention. Journal of Information Technology Management, 21(1), 16-34. Chan, F.K.Y., Thong, J.Y.L., Venkatesh, V., Brown, S.A., & Tam, K.Y. (2010). Modeling citizen satisfaction with mandatory adoption of an e-government Technology. Journal of the Association for Information Systems, 11(1), 520-548. Chauhan, R. S., Buckley, M. R., & Harvey, M. G. (2013). Facebook and personnel selection: What's the big deal? Organizational Dynamics, 42(2), 126-1 4. Chen, B., & Bryer, T. (2012). Investigating Instructional Strategies for Using Social Media in Formal and Informal Learning. The International Review of Research in Open and Distance Learning, 13(1), 87-104. Chen, S. C., Yen, D.C., & Hwang, M. I. (2012). Factors influencing the continuance intention to the usage of web 2.0: An empirical study. Computers in Human Behaviour, 28, 933-941. Chen, Y.C. (2014). The effect of using a Facebook group as a learning management system. Computers in Education Journal, 24(4), 43-53. Cheng, C.M.K., Lee, M. K. O. (2005). Research Framework for Consumer Satisfaction with Internet Shopping. City University of Hong Kong, China. Sprouts: Working Papers on Information Systems, 5(26). Retrieved from: http://sprouts.aisnet.org/5-2 Chernick, M. R. (2008). Bootstrap methods: A guide for practitioners and researchers (2nd ed.). Hoboken, New Jersey: John Wiley & Sons, Inc. Cheung, C.M.K., & Lee, M. K. 0. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49, 24-30. Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computer & Education, 63, 160-175. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295-336). Mahwah, New Jersey: Laurence Erlbaum Associates. Chin, W.W., & Lee, M. K. 0. (2000). A proposed model and measurement instrument for the information of is satisfaction: The case of end-user computing satisfaction. Proceedings: Twenty First International Conferences On Information System. (pp. 175-186). Chin, W. W. (2010). How to write up and report PLS analyses. In: Esposito Vinzi, V., Chin, W. W., Henseler, J., & Wang, H. (Eds.). Handbook of partial least squares: Concepts, methods and applications in marketing and related fields (655-690). Berlin: Springer. Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo Simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14, 189-217. doi: 10.1287/isre.14.2.189.16018 Chiu, C.M, Chiu, C.S., & Chang, H..C. (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. Cho, N and Park, S. (2001). Development of electronic commerce user-computer satisfaction index (ECUSI) for internet shopping. Industrial Management and Data System. 101 (8), 400-405. Chu, K.M. (2013). Motives for participation in internet innovation intermediary platforms. Information Processing and Management, 49, 945-953. Chu, S. K., & Du, H. S. (2012). Social networking tools for academic libraries for academic libraries. Journal of Librarianship and Information Science, 45(1), 64-75, doi: 10.1177/0961000611434361 Churchill, Gilbert A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19, 491-504. Clark, R. E. (2000). Evaluating distance education: Strategies and cautions. The Quarterly Journal of Distance Education, 1(1), 3-16. Coates, H., James, R. & Baldwin, G. (2005). A critical examination of the effects of learning management systems on university teaching and learning. Tertiary Education and Management, 11(1), 19-36. Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155-159. doi: 10.1037/0033-2909.112.1.155 Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaurn Associates. Colley, A. & Comber, C. (2003). Age and gender differences in computer use and attitudes among secondary school students: What has changed? Educational Research, 45(2): 155-65. Cooper, D. R., & Schindler, P. S. (2009). Business research methods (10th ed.). New York: McGraw-Hill. Couillard, C. (2009). Facebook: the Pros and Cons of use in Education (Master's thesis, University of Wisconsin-Stout). Retrieved from http://clairecouiIlard.weebly.com/uploads/5/1/ 9/8/5 198042/researchqaper_tcs_701.pdf Costa, C., Alvelos, H., & Teixeira, L. (2012). The use of Moodle e-Learning platform: A study in a Portuguese University. Procedia Technology, 5, 334-343. Curtis, L., Edwards, C., Fraser, K.L., Gudelsky, S., Holmquist, J., Thornton, K., & Sweetser, K. D. (2010). Adoption of social media for public relations by nonprofit organizations. Public Relations Review, 36, 90-92. Dalsgaard, C. (2006). Social software: E-Learning beyond learning management systems. European Journal of Open, Distance and E-Learning, 7-12. Danyaro, K.U., Jaafar, J., Lara, R.A.A.D., Downe, A.G. (2010). An evaluation of the usage of web 2.0 among tertiary level students in Malaysia. IEEE, 1-6. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. M7S Quarterly, 13(3), 319-339. Davis, F., Bagozzi, R., & Warshaw, P. (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 system success: The quest for the dependent variable. Information System Research, 3(1), 60-95. Deng, X., Doll, W., Al-Gahtani, S.S., Larsen, T. J., Pearson, J. M. & Raghunathan, T.S. (2008). A cross-cultural analysis of the end-user computing satisfaction instrument: A multi-group invariance analysis. Information and Management, 45, 211-220. DeSchryver, M., Mishra, P., Koehleer, M. & Francis, A. (2009). Moodle vs. Facebook: Does using Facebook for Discussions in an Online Course Enhance Perceived Social Presence and Student Interaction? Proceedings: Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 329-336). DeVelliss, R. F. (2012). Scale development: Theory and applications (3rd. ed.). Chapel Hill, U.S.A.: Sage Publication. Dhaha, I.S.Y., & Ali, A.Y.S. (2014a).Behavioural Intention and Satisfaction with 3G Technology among Students in Somalia: A Structural Equation Modeling Study. World Applied Sciences Journal, 32(2), 243-253. doi: 10.5829/idosi.wasj.2014.32.02.331 Dhaha, I.S.Y.A., & Ali, A.Y.S. (2014b). Mediating effects of behavioural intention between 3g predictors and service satisfaction. Jurnal Komunikasi Malaysian, 30 (Special Issue), 107-128. Dijkstra, T. (1983). Some comments on maximum likelihood and partial least squares methods. Journal of Econometrics, 22, 67-90. doi: http://dx.doi.org/l 0.10 1610304-4076(83)90094-5 Din, N., & Haron, S. (2012). Knowledge Sharing as a Culture among Malaysian Online Social Networking Users. Procedia-Social and Behavioural Science, 50, 1043-1050. doi:l0.1016/j.sbspro.2012.08.104 Din, N., Yahya, S., & Haron, S. (2012). Information retrieval and academic performance among Facebook users. Procedia-Social and Behavioural Science, 68. doi: 10.1016/j.sbspro.2012.12.225 DiVall, M. V., & Kirwin, J. L. (2012). Using Facebook to facilitate course-related discussion between students and faculty members. American Journal of Pharmaceutical Education, 76(2), 1-5. Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12(6), 256-274. Doll, W. J., and Torkzadeh, G. (1991). Issues and Opinions: The Measurement of End-User Computing Satisfaction: Theoretical and Methodological Issues. MIS Quarterly, 15,5- 10. Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. M7S Quarterly, 18(4), 453-461. Duarte, P., & Raposo, M. (2010). A PLS model to study brand preference: An application to the mobile phone market. In V. Esposito Vinzi, W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook ofPartial Least Squares (pp. 449-485): Springer Berlin Heidelberg. Duncan, D.G., & Barezyk, C.C. (2013). Facebook in the university classroom: Do students perceive that this site enhances community of practice and sense of community? International Journal of Business and Social Science, 4(3), 1-14. Echeng, R., Usoro, A., & Majewski, G. (2013). Acceptance of web 2.0 in learning in higher education: A case study Nigeria. International Journal of Advanced Computer Science and Application, 4(10). Elliott, A. C., & Woodward, W. A. (2007). Statistical analysis: Quick reference guidebook with SPSS examples. Thousand Oaks, CA: Sage Publications. Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook friends social capital and college students' use of online social network sites. Journal of Computer-Mediated Communication, 12, 1143-1168. doi: 10.1111/j.1083-6101.2007.00367.x Embi, M. A., Atan, H., Abd-Aziz, S., Mohd-Nordin, N., & Harnat, A. Scenario Study Report: e-Learning Module. (2012). Bangi, Selangor: Higher Education Leadership Academy Ministry of Higher Education and Centre for Academic Advancement Universiti Kebangsaan Malaysia. Endut, A., Mohd, P., Rahayu, S., Aziz, A., Hajar, M. N., Jono, H., & Abdul, A. (2012). e-Learning for Universiti Teknologi MARA Malaysia (UiTM): Campus Wide Implementation and Accomplishments. Procedia-Social and Behavioral Sciences, 67, 26-35. doi: 10.1016/j.sbspro.2012.11.304 Escobar-Rodriguez, T., Carvajal-Trujillo, E., & Monge-Lozano, P. (2014). Factors that influence the perceived advantages and relevance of Facebook as a learning tool: An extension of the UTAUT. Australian Journal of Educational Technology, 30(4), 136-151. Everson, M., Gundlach, E., & Miller, J. (2013). Social media and the introductory statistics course. Computers in Human Behavior, 29, 69-81. Facebook(2015).Company Info. Retrieved from http://newsroom.Facebook.com/company-info1 Falahah & Rosmala, D. (2012). Study of Social Networking Usage in Higher Education Environment. Procedia-Social and Behavioral Sciences, 67, 156-166. doi: 10.1016/j.sbspro.2012.11.316 Falk, R. F., & Miller, N. B. (1992). A primerfor soJ modeling. Ohio: The University of Akron Press. Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using GPower 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149-1160. doi: 10.3758/brm.41.4.1149 Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). GPower 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. doi: 10.3758/bf03 193 146 Ferdig, R. (2007). Examining social software in teacher education. Journal of Technology and Teacher Education, 15(1), 5-10. Fidani, A., & Idrizi, F. (2012). Investigating Students' Acceptance of a Learning Management System in University Education : A Structural Equation Modeling Approach. Proceedings: ICT Innovations 2012 Web Proceedings (pp. 311-320). Fishbein, M., & Ajzen, I. (1975). Belief] attitude, intention and behaviour: An introduction to theory and research. Reading, MA: Addisson-Wesley. Flynn, B. B., Sakakibara, S., Schroeder, R. G., Bates, K. A., & Flynn, E. J. (1990). Empirical research methods in operations management. Journal of Operations Management, 9, 250-284. Fong, S.C.C. & Ho, M.W.H. (2014). Accounting information systems End-User Satisfaction: Evidence of Hong Kong Housing Authority. The International Technology Management Review, 4, 27-41. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50. Frary, R. B. (1996). Brief Guide to questionnaires development. Washington, DC: ERIC Clearinghouse on Assessment and Evaluation. Frein, S. T., Jones, S. L., & Gerow, J. E. (2013). When it comes to Facebook there may be more to bad memory than just multitasking. Computers in Human Behavior, 29, 2179-2182. Friedman, H.H., & Friedman, L.W. (2011). Crises in education: Online learning as a solution. Creative Education, 2, 156-163. Gary, K., Annabell, L., & Kennedy, G. (2010). Medical students' use of Facebook to support learning: Insights from four case studies. Medical Teacher, 32, 971-976. Gay, L. R., and Diehl, P. L. (1996). Research methods for business and management. Singapore: Simon & Schruster (Asia) Pte. Ltd. Granovetter, M. (1983). The strength of weak ties: A network theory revisited. Sociological Theory, 1(1), 201-233 Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLSGraph: Tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 109. Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61, 101-107. doi: 10.1093/biomet/61.1.101 Gomes, L.M., Guerra, H., Mendes, A., & Rego, I.E. (2015). Facebook vs moodle: Surveying university students on the use of learning management systems to support learning activities outside the classroom. proceedings: 10th Iberian Conference on Information Systems and Technologies (CISTI), 1-4. doi: 10.1109/CISTI.2015.7170464 Geladi, P., & Kowalski, B. (1986). Partial least-squares regression: A tutorial. Analytica Chimica Acta, 185, 1-17. Glasow, P. A. (2005). Fundamentals of survey research methodology. Virginia: Mitre Washington C3 Center. Goh, W.W., Hong, J.L., & Goh, K.S. (2013). Students' behavior and perception of using Facebook as a learning tool. Proceedings: 8th International Conference of Computer Science & Education (ICCSE). (pp.731-736). doi: 10.1109/ICCSE.2013.6554004 Goodhue, D., Lewis, W., and Thompson, R. (2006). Small Sample Size, and Statistical Power in MIS Research, Proceedings: 39th Annual Hawaii International Conference on System Sciences (HICSS'06) (pp. 202b-202b). doi: 10.1109/HICSS.2006.381 Gotz, O., Liehr-Gobbers, K., & Kraffi, M. (2010). Evaluation of Structural Equation Models using the Partial Least Squares (PLS) Approach. In V. E. Vinzi, W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications (pp. 691-711). Heidelberg: Springer. Grosseck, G. (2009). To use or not to use web 2.O in higher education? Procedia Social and Behavioral Sciences, 1, 478-482. doi: 10.1016/j.sbspro.2009.01.087 Grosseck, G., Bran, R., & Tiru, L. (2011). Dear teacher, what should I write on my wall? A case study on academic uses of Facebook. Procedia-Social and Behavioural Sciences, 15, 1425-1430. doi: 10.1016/j.sbspro.2011.03.306 Gruzd, A., Staves, K., Wilk, A. (2012). Computers in human behaviour connected scholars: Examining the role of social media in research practices of faculty using UTAUT model. Computers in Human Behaviour, 28, 2340-2350. doi: 10.1016/j.chb.2012.07.004 Gelderrnan, M. (1998). The relation between user satisfactions, usage of information systems, and performance. Information & Management 34 (1), 11-18. Gulieva, V. (2014). Moodle vs. Social Media Platforms: Competing for Space and Time. Proceedings: Bunele Practici de Instruire Online. (pp. 1-5). Hagle, T. (2004). Dichotomous Variables. In Michael S. Lewis-Beck, A. Bryman, & Tim Futing Liao (Eds.), The SAGE Encyclopedia of Social Science Research Methods. (p. 263). Thousand Oaks, CA: Sage Publications, Inc. doi: http://dx.doi.org/l0.4135/9781412950589.n239 Houghton, D.J., & Joinson A. N. (2010) Privacy, Social Network Sites, and Social Relations. Journal of Technology in Human Services, 28(1-2) 74-94, DOI: 10.1080/15228831003770775 Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46, 1-12. doi: http://dx.doi.org/l0.1016/j.lrp.2013.01.001 Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, New Jersey: Prentice Hall. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEW. Thousand Oaks: Sage Publications. Hair, J. F., Money, A. H., Samouel, P., & Page, M. (2007). Research methodfor business. West Sussex, England: John Wiley & Sons Ltd. Hair, I. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Lndeed a Silver Bullet. Journal of Marketing Theory and Practice, 18, 139-152. Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal oJthe Academy of Marketing Science, 40, 414-433. Hakkarainen K. & Palonen T. (2003) Patterns of female and male students' participation in peer interaction in computer-supported learning. Computers and Education, 40, 327-342. Hamade, S.N. (2013). Perception and use of social networking sites among university students. Library Review, 62 (6/7), 388-397. doi: 10.1108/LR-12-2012-0131 Hamat, A., Embi, M.A., & Hassan, H.A. (2012). The use of social networking sites among Malaysian university students. International Education Studies, 5(3), 56-66. Hamat, A., Embi, M. A., & Sulaiman, A. H. (2011). Learning Management Systems in Malaysian Higher Education Lnstitutions. In M. A. Embi (Ed.), E-Learning in Malaysian Higher Education Institutions: Status, Trends, & Challenges, 30-51. Putrajaya: Department of Higher Education Ministry of Higher Education. Hanson, C., West, J., Neiger, B., Thackeray, R., Barnes, M., & McIntyre, E. (2011). Use and acceptance of social media among health educators. American Journal of Health Education, 42(4), 197-204. doi: 10.1080/19325037.2011.10599188 Haque, A., Sarwar, A., & Ahmad, K. (2015). Using Facebook as an alternative learning tool in Malaysian higher learning institutions: A structural equation modeling approach. International Journal of Social, Behavioural, Educational, Economic, Business and Industrial Engineering, 9(5), 1616-1623. Harris, A. L., & Rea, A. (2009). Web 2.0 and Virtual World Technologies : A Growing Impact on IS Education. Journal of Information Systems Education, 20(2), 137-145. Harsono, L.D. & Suryana, L.A. (2014). Factors afecting the use behaviour of social media using UTAUT 2 model. Proceedings: First Asia-Pacific Conference on Global Business Economics, Finance and Social Sciences. (pp.1-14). Hartshome, R. & Ajjan, H. (2009). Examining student decisions to adopt web 2.0 technologies: Theory and empirical tests. Journal Computing Higher Education, 21, 183-198. Hatcher, L. (1994). A step by step approach to using SAS for factor analysis and structural equation modeling. SAS Institute Inc. Nort California, USA Hayes, A. F., & Preacher, K. J. (2010). Quantifying and testing indirect effects in simple mediation models when the constituent paths are nonlinear. Multivariate Behavioral Research, 45(4), 627-660. Hayes, A.F. (2009). Beyond Baron and Kenny: Statistcal mediation analysis in the new millennium. Communication Monographs, 76(4), 408-420. doi: 10.1080/036377509033 10360 Heemskerk, I., Brink, A., Volman, M. & Ten-Dam, G (2005). Lnclusive and ICT in education: a focus on gender, ethnicity and social class. Journal of Computer Assisted Learning, 21(1), 1-16. Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), Advances in International Marketing (Vol. 20, pp. 277-320). Bingley: Emerald Hew, K. F. (2011). Students' and teachers'use of Facebook. Computers in Human Behavior, 27, 662-676. doi: 10.1016/j.chb.2010.11.020 Hoe, J.M.C. (2012). Facebook and learning: Students' perspective on a course. Journal of the NUS Teaching Academy, 2(3), 131-143. Holtz, B. & Krein, S. (2011). Understanding Nurse Perceptions of a Newly Implemented Electronic Medical Record System. Journal of Technology in Human Services, 29(4), 247-262, doi: 10.1080/15228835.2011.639931 Hou, C.K. (2012). Examining the effect of user satisfaction on system usage and individual with business intelligence systems: An empirical study of Taiwan's electronic industry. International Journal of Information Management, 32, 560-573. Hsu, C.L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74 Hsu, Hsin-I., & Yang, Mei-Hwa (2011). Marketing library services with the community features of Facebook. Journal of Librarianship and Information Studies, 3(1), 65-87 Hunt, S. D., Richard D. S. Jr., and James B. W. (1982). The Pretest in Survey Research: Issues and Preliminary Findings. Journal of Marketing Research, 269-273. Hurt, N.E., Moss, G.S., Bradley, C.L., Larson, L.R., Lovelace, M.D., Prevost, L.B., Riley, N., Domizi, D. & Camus, M.S. (2012). The Facebook effect: college students' perceptions of online discussions in the age of social networking. International Journal for the Scholarship of Teaching and Learning, 6(2), 1-24. Hussain, I. (2012). A Study to Evaluate the Social Media Trends among University Students. Procedia - Social and Behavioral Sciences, 64, 639-645. doi: 10.1016/j.sbspro.2012.11.075 Hussien, K.A. (201 3). A framework for implementing social computing in higher education in the Gulfstates. Ph.D. Thesis. School of the Bulit Environment, University of Salford, Machester, UK. Ilias, A. & Razak, M.Z.A. (2011). End-User Computing Satisfaction (EUCS) towards Computerized Accounting System (CAS) in public sector: A validation of instrument. Journal of Internet Banking and Commerce, 16(2), 1 - 17. Issa, T., & Isaias, P. (2016). Internet factors influencing generations Y and Z in Australia and Portugal: A practical study. Information Processing and Management, 1 -26. Ilias, A., Razak, M.Z., Abdul-Rahman, R., & Yasoa, M.R. (2009). End-user satisfaction in computerized accounting system: Which the critical factors? A case in Malaysia. Computer and Information Science, 2(1), 18-24. Im, I., Hong, S., & Kang, M.S. (2011). An international comparison of technology adoption Testing the UTAUT model. Information & Tehnology, 48, 1-8. doi: 10.1016/j.im.2010.09.001 Irwin, C., Ball, L., Desbrow, B., & Leveritt, M. (2012). Students' perceptions of using Facebook as an interactive learning resource at university. Australia Journal of Educational Technology, 28(7), 1221-1232 Islam, A. K. M. N. (2011). The determinants of the post-adoption satisfaction of educators with an e-learning system. Journal of Information Systems Education, 22(4), 319-332. Ismail, S. (2010). International Students' Acceptance on using Social Networking Site to Support Learning Activities. International Journal for the Advancement of Science & Arts, 1(2), 81-90. Ismail, S.A., Mohd-Saleh, N., & Kundari, S. (2012). Computerized accounting system' at The Mara State Offices: Factors affecting user satisfaction and job performance. International Journal of Research in Management & Technology, 2(6), 565-573. Ives, B., Olson, M.H., & Baroudi, J.J. (1983). The measurement of user information satisfaction, Communications of the ACM, 26(10), 785-793. Jafarkarimi, H., Sim, A. T. H., Saadatdoost, R., & Hee, J. M. (2016). Facebook Addiction among Malaysian Students. International Journal of Information and Education Technology, 6(6), 465. Jones, C., Ramanau, R., Cross, S., & Healing, G. (2010). Net generation or Digital Natives: Is there a distinct new generation entering university?. Computers & Education, 54, 772-732. Jahan, I., & Zahed-Ahmed, S.M. (2012). Students' perceptions of academic use of social networking sites: A survey of university students in Bangladesh. Information Development, 28(3), 235-247. Jalal, A. & Zaidieh, Y. (2012). The Use of Social Networking in Education: Challenges and Opportunities. World of Computer Science and Information Technology Journal (WCSIT), 2(1), 18-21. Jong, B., Lai, C., Hsia, Y., Lin, T., & Liao, Y. (2014). An exploration of the potential educational value of Facebook. Computers in Human Behavior, 32, 201-211. doi:l0.1016/j.chb.2013.12.007 Jong, D. & Wang, T.S. (2009). Student acceptance of web-based learning system. Proceedings: International Symposium on web information systems and application. (pp.533-536). Jumaat, N. F., & Tasir, 2. (2013). Students' Types of Online Lnteraction through Facebook Discussion. Procedia-Social and Behavioral Sciences, 97, 353-360. doi: 10.1016/j.sbspro.2013.10.245 Junco, R. (2011). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58(1), 162-171. doi:10.1016/j.compedu.2011.08.004 Junco, R., & Cotton, S.R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers & Education, 59, 505-514. Junco, R. (2015). Student class standing, Facebook use, and academic performance. Journal of Applied Developmental Psychology, 36, 18-29. doi: 10.1016/j.appdev.2014.11.001 Junco, R., & Cotten, S. R. (2012). No A 4 U : The relationship between multitasking and academic performance. Computers & Education, 59(2), 505-514. doi: 10.1016/j.compedu.2011.12.023 Kalpidou, M., Costin, D., & Morris, J. (2011). The relationship between Facebook and the well-being of undergraduate college students. Cyberpsychology, Behavior and Social Networking, 14(4), 183-189. doi: 10.1089/cyber.2010.0061 Kim, K. Altmann, J. & Hwang, J. (2010). The Impact of the Subgroup Structure on the Evolution of Networks: An Economic Model of Network Evolution. Proceedings: IEEE International Workshop on Network Science for Communication Networks (pp. 1-9). Kirschner, P.A., & Karpinski, A.C. (2010). Facebook and academic performance. Computers in Human Behaviour, 26, 1237-1245. Kaba, B. & Toure, B. (2014). Understanding information and communication technology behavioural intention to use: Applying the UTAUT model to social networking site adoption by young people in a least developed country. Journal of the Association for Information Science and Technology, 65(8), 1662-1674. Kabilan, M. K., Ahmad, N., Jafre, M., & Abidin, M. J. Z. (2010). Internet and Higher Education Facebook: An online environment for learning of English in institutions of higher education? The Internet and Higher Education, 13(4), 179-187. doi: 10.1016/j.iheduc.2010.07.003 Kabilan, M.K., Ahmad, N., & Abidin, M.J.Z. (2010). Facebook: An online enviroment for learning of English in institutions of higher education? Internet and Higher Education, 13, 179-187. Kalton, G., & Schuman, H. (1982). The effect of the question on survey responses: A review. Journal of the Royal Statistical Society, Series A, 145, 42-73. Keeter, S. ( 2005). Survey Research. In D. Druckman (Ed.). Doing research: Methods of Inquiv for conflict analysis (pp. 123-162). Thousand Oaks, CA: Sage Publications, Inc. Kember, D., McNaught, C., Chong, F. C. Y. Y., Lam, P., & Cheng, K. F. F. (2010). Understanding the ways in which design features of educational websites impact upon student learning outcomes in blended learning environments. Computers & Education, 55(3), 1 183-1 192. doi: 10.1016/j.compedu.2010.05.015 Kementerian Pendidikan Malaysia (2013). Perangkuan Pendidikan Negara: Sektor Pengajian Tinggi. Putrajaya, Malaysia. Keong, M.L., Ramayah, T., Kurnia, S., & Chiun, L.M. (2012). Explaining intention to use an enterprise resource planning (ERP) system: an extension of the UTAUT model. Business Strategy Series, 13(4), 173 - 180. Khaled, A.,H. (2013). A framework for implementing social computing in higher education in the Gulf States. (Doctoral dissertation, University of Salford). Retrieved from: http://usir.salford.ac.uk/29456/ Khechine, H., Lakhal, S., Pascot, D., & Bytha, A. (2014). UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdisciplinary Journal of E-learning and Leraning Objects, 10, 33-52. Kijasanayotin, B., Pannarunothai, S. & Speedie, S.M. (2009). Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model. International Journal of Medical Information, 78, 404-416. Kim, D. J., Ferrin, D. L, & Rao, H. R. (2008). A Trust-Based Consumer Decision Model in Electronic Commerce: The Role of Trust, Risk, and Their Antecedents. Decision Support Systems, 44(2), 544-564. Kim, K., Altmann J., & Hwang, J. (2011). Measuring and Analyzing the Openness of the Web 2.0 Service Network for Improving the Innovation Capacity of the Web 2.0 System through Collective Intelligence. In Bastiaens, T.J., Baumol, U., & Kramer, B. J. (Eds.), On Collective Intelligent (pp. 93-105). doi: 10.1007/978-3-642-14481-3-8 Kiraz, E., & Ozdemir, D. (2006). The relationship between educational ideologies and technology acceptance in pre-service teachers. Educational Technology and Society, 9(2), 152-165. Kitsis, S. (2008) The Facebook generation: homework as social networking. English Journal 98(2), 30-36. Klarner, P., Sartedt, M., Hoeck, M. & Ringle, C.M. (2013). Disentangling the effects of team competences, team adaptability and client communication on the performance of management consulting teams. Longe Range Planning, 46, 258- 286. Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: The Guilford Press. Koran, J. K. (2001). Aplikasi e-Pembelajaran dalam pengajaran dun pembelajaran di sekolah-sekolah Malaysia: Cadangan pelaksannaan senario masa kini. Retrieved April 22, 2013 from: http://www.tutor.com.my/tutor/pix/200110716/ duniaqendidikankertas-kerjafkk-01.pdf. Krejcie, R.V., & Morgan, D.W. (1970). Determing sample size for research activities. Educational andPsychologica1 Measurement, 30, 607-610. Krischner, P.A., & Karpinski, A.C. (2010). Facebook and academic performance. Computers in Human Behaviour, 49(2), 1-4. Kumar, B. (2012). Theory of planned behaviour approach to understand the purchasing behaviour for environmentally sustainable products. Retrieved from http://www.iimahd.ernet.in/assets/snippets/ workingpaperpdE/10260612182012-12-08.pdf Kwong-Kay, K.W. Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS.(2013). Marketing Bulletin, Technical Note, 24, (1). Lai, C.S.K. & Pires, G. (2010). Testing of a model evaluating e-Government portal acceptance and satisfaction. Information Systems Evaluation, 13(1), 35-46. Li, X., & Chen, W. (2014). Facebook or Renren? A comparative study of social networking site use and social capital among Chinese International Students in the United States. Computers in Human Behaviour, 35, 116-123. Laire, D., Casteleyn, J., & Mottart, A. (2012). Social media's learning outcomes within writing in efl classroom: Exploring, implementing and analyzing storify. Procedia-Social and Behavioural Science, 69, 442-448. Levickaite, R. (2010) Generations x, y, z: How social networks form the concept of the world without borders (the case of Lithuania). LIMES. Cultural Regionalistics, 3(2), 170- 183. doi: http://dx.doi.org/l0.3846/limes.20 10.17 Lakhani, A. (2013). Social networking sites and the legal profession: Balancing benefits with navigating minefields. Computer Law & Security Review, 9, 164-174. Lakshman, M., Sinha, L., Biswas, M., Charles, M., & Arora, N. K. (2000). Quantitative Vs Qualitative Research Methods. Indian Journal of Pediatrics, 67(5), 369-377. Lallmahomed, M. Z. I., Zairah, N., Rahim, A., Ibrahim, R., & Rahman, A. A. (2013). Computers in Human Behavior Predicting different conceptualizations of system use : Acceptance in hedonic volitional context (Facebook). Computers in Human Behavior, 29(6), 2776-2787. doi: 10.1016/j.chb.2013.07.018 Lambert, D. M., & Harrington, T. C. (1990). Measuring nonresponse bias in customer service mail surveys. Journal of Business Logistics, 11(2), 5-25. Lampe, C., Ellison, N., & Steinfield, C. (2006, November). A Face (book) in the crowd: Social searching vs. social browsing. Proceedings: 20Ih anniversary conference on Computer supported cooperative work (pp. 167-170). Larue, E. M. (2012). Using Facebook as course management software : a case study 1. Teaching and Learning in Nursing, 7, 17-22. doi: 10.1016/j.teln.2011.07.004 Lee, E.B. (2012). Young, black and connected: Facebook usage among African American college students. Journal of Black Studies, 43(3), 336-354. Lee, J.S., Cho, H., Gay, G., Davidson, B. and Ingraffea, A. (2003). Technology acceptance and social networking in distance learning. Educational Technology & Society, 6(2), 50- 1 Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: past, present, and future. Communications of the Association for Information Systems, 12(1), 50. Lenth, R. V. (2001). Some practical guidelines for effective sample size determination. The American Statistician, 55, 187-193. Leong, L. Y., Ooi, K.B., Chong, A.Y.L., & Lin, B. (2013). Modeling the stimulators of the behavioural intention to use mobile entertainment: Does gender really matter? Computers in Human Behavior, 29, 2109-2121. Levickaite, R. (2010) Generations x, y, z: How social networks form the concept of the world without borders (the case of Lithuania), LIMES: Cultural Regionalistics, 3(2), 170-183. Li Q. (2002) Gender and computer-mediated communication: An exploration of elementary students' mathematics and science learning. Journal of Computers in Mathematics and Science Teaching, 21, 341-359. Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1-55. Lin J.C.C., & Lu H. (2000). Toward an understanding of the behavioral intention to use a web site. International Journal of Information Management, 20, 197-208. Lin, H.X., Choong, Y.Y., & Salvendy, G. (1997). A proposed index of usability: A method for comparing the relative usability of different software systems. Behaviours & Information Technology, 16(4), 267-278. Lin, P.C., Hou, H.T., Wang, S.M., & Chang, K.E. (2013). Analyzing knowledge dimensions and cognitive process of a project-based online discussion instructional activity using Facebook in an adult and continuing education course. Computers & Education, 60, 110-121. Lin, S., Zimrner, J.C. & Lee, V. (2013). Poscasting acceptance on campus: The differing perspectives of teachers and students. Computers and Education, 68, 416-428. Ling, C.H. & Islam, M.A. (2015). User satisfaction towards online banking in Malaysia. International Business Management, 9(1), 15-27. Lubis, S. H., Ridzuan, S., Ishak, I. Y., Othman, H. F., Mohammed, N., Abdul-Hamid, S.,... Isham, M. (2012). The relationship between time spent on facebook and cumulative grade point average (CGPA) among third year Biomedical Science students in Faculty Health Sciences, UKM. Procedia-Social and Behavioural Sciences, 60. 590-595. doi: 10.1016/j.sbspro.20 12.09.427 Margo, M.J., Sharp, J.H., Ryan, K., & Ryan, S.D. (201 3). Investigating ways to use Facebook at the university level: A Delphi study. Issues in Informing Science and Information Technology, 10, 295-311. Manca, S., & Ranieri, M. (2016). Facebook and the others. Potentials and obstacles of social media for teaching in higher education. Computers & Education, 95, 216-230. MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83-104. Machado, M., & Tao, E. (2007). Blackboard vs. Moodle: Comparing user experience of learning management systems. Proceedings: 37th Annual Frontiers in Education Conference -Global Engineering: Knowledge without Borders, Opportunities without Passports. (pp.S4J-7-S4J-12). doi: 10.1109/FIE.2007.4417910 Miron, E., & Ravid, G. (2015). Facebook Groups as an Academic Teaching Aid: Case Study and Recommendations for Educators. Educational Technology & Society, 18 (4), 371-384. Madge.C., Meek, J., & Wellens, J., & Hooley, T. (2009). Facebook, social integration and informal learning at university: It's is more for socializing and talking to friends about work than for actually doing work. Learning, Media and Techno logy, 34(2), 14 1 - 1 5 5.

The behavioural intention to use Facebook among Malaysian public universities as technology alternative tool for e-learning: the mediating role of end user satisfaction

Similar Items