The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia

The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia

Despite the benefits of broadband technology in education and healthcare services, its usage in the rural areas is still low and Malaysia is not excluded. This situation leads to raising the question of long-term usage of the technology. Presently, there are less empirical study on the continuous us...

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Main Author: Muraina, lshola Dada
Format: Thesis
Language:eng
eng
Published: 2015
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T Technology (General)
Online Access:https://etd.uum.edu.my/5341/1/s93753.pdf
https://etd.uum.edu.my/5341/2/s93753_abstract.pdf
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institution Universiti Utara Malaysia
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language eng
eng
advisor Sheik Osman, Wan Rozaini
Ahmad, Azizah
topic T Technology (General)
spellingShingle T Technology (General)
Muraina, lshola Dada
The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia
description Despite the benefits of broadband technology in education and healthcare services, its usage in the rural areas is still low and Malaysia is not excluded. This situation leads to raising the question of long-term usage of the technology. Presently, there are less empirical study on the continuous usage of broadband technology among the youths particularly school children in the rural areas of Malaysia. The objective of this study is to determine the contributing factors for continuous usage of broadband technology among youths in the rural areas. Therefore, a research model was proposed consisting of eight contributing factors for continuous usage of broadband technology. Moreover, the study used quantitative approach by distributing 450 questionnaires to respondents in the northern region of Malaysia. However, only 393 questionnaires were returned which represent 87.33% response rate. The data collected were analyzed using a Structural Equation Model to investigate the relationship between contributing factors. The results showed that performance expectancy, effort expectancy, social influence, compatibility, facilitating condition, service quality, user behavioural intention and user satisfaction are the significant contributing factors that must be in place to ensure the continuous usage of broadband among youth in the rural areas. Hence, this study contributes to the body of knowledge in Community Informatics by providing a framework for achieving long-term use of broadband technology among youths in the rural areas, through the integration of Information System Continuance Post Acceptance and Unified Theory of Acceptance and Use of Technology models. The factors identified may contribute as input to the government policy formulations and service providers to ensure continuous demand for broadband from the evidence extracted from this study. Continuous usage of broadband technology in the rural areas would have positive contributions on the academic performance, literacy among youths, bridging the digital divide in broadband usage, increase home business and national productivity.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Muraina, lshola Dada
author_facet Muraina, lshola Dada
author_sort Muraina, lshola Dada
title The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia
title_short The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia
title_full The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia
title_fullStr The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia
title_full_unstemmed The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia
title_sort factors that contribute to the continuous usage of broadband technologies among youth in rural areas: a case of northern region of malaysia
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2015
url https://etd.uum.edu.my/5341/1/s93753.pdf
https://etd.uum.edu.my/5341/2/s93753_abstract.pdf
_version_ 1747827912593113088
spelling my-uum-etd.53412021-04-04T07:58:08Z The factors that contribute to the continuous usage of broadband technologies among youth in rural areas: A case of northern region of Malaysia 2015 Muraina, lshola Dada Sheik Osman, Wan Rozaini Ahmad, Azizah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T Technology (General) Despite the benefits of broadband technology in education and healthcare services, its usage in the rural areas is still low and Malaysia is not excluded. This situation leads to raising the question of long-term usage of the technology. Presently, there are less empirical study on the continuous usage of broadband technology among the youths particularly school children in the rural areas of Malaysia. The objective of this study is to determine the contributing factors for continuous usage of broadband technology among youths in the rural areas. Therefore, a research model was proposed consisting of eight contributing factors for continuous usage of broadband technology. Moreover, the study used quantitative approach by distributing 450 questionnaires to respondents in the northern region of Malaysia. However, only 393 questionnaires were returned which represent 87.33% response rate. The data collected were analyzed using a Structural Equation Model to investigate the relationship between contributing factors. The results showed that performance expectancy, effort expectancy, social influence, compatibility, facilitating condition, service quality, user behavioural intention and user satisfaction are the significant contributing factors that must be in place to ensure the continuous usage of broadband among youth in the rural areas. Hence, this study contributes to the body of knowledge in Community Informatics by providing a framework for achieving long-term use of broadband technology among youths in the rural areas, through the integration of Information System Continuance Post Acceptance and Unified Theory of Acceptance and Use of Technology models. The factors identified may contribute as input to the government policy formulations and service providers to ensure continuous demand for broadband from the evidence extracted from this study. Continuous usage of broadband technology in the rural areas would have positive contributions on the academic performance, literacy among youths, bridging the digital divide in broadband usage, increase home business and national productivity. 2015 Thesis https://etd.uum.edu.my/5341/ https://etd.uum.edu.my/5341/1/s93753.pdf text eng public https://etd.uum.edu.my/5341/2/s93753_abstract.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia Abby, L. (2005). Tourism in Rural Areas: Kedah, Malaysia. Journal of Tourism Management, Vol. 27, pp. 878-889. Abdulwahab, L., & Zulkhairi, M. D. (2011). Effectiveness of Telecentre Using a Model of Unified Theory of Acceptance and Use of Technology (UTAUT): Structural Equation Modelling Approach. Journal of Emerging Trends in Computing and Information Sciences, Vol. 2, No. 9, pp. 402 – 412. Abdulwahab, L., & Zulkhairi, MD. (2012). Modeling the Determinants and Gender, Age and Ethnicity Difference in Telecommunication Centre Acceptance. Research Journal of Information Technology, Vol. 4, No. 3, pp. 85-105. Adams, G. (2003). Rural and Primary Industry: A Renaissance in Our Heartland. Auckland: TUANZ G., Adams (Ed.), Survival of the Fastest, pp. 53-64. Adekunle, P.A., Omoba, R.O., & Tella, A. (2007). Attitudes of Librarians in Selected Nigerians Universities toward the Use of ICT. Library Philosophy and Practice, Vol. 9, No. 2, pp. 1-8. Adria, M., & Brown, D. (2012). Ambiguity and Uncertainty in the "Last Mile": Using Sense-Making to Explore How Rural Broadband Networks Are Created. Journal of Community Informatics, Vol. 8, No. 3, pp. 1-15. Afsar, S., Mateen, A., & Korbatov, A. (2005). Towards the Enhancement of Electronic Democracy: the Adoption of Reinventing Government and Electronic Government at the Municipal Level. Journal of Agriculture and Social Sciences, Vol. 1, pp. 133–137. Agarwal, R., & Karahanna, E. (2000). Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, Vol. 24, No. 4, pp. 665-694. Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, Vol. 9, No. 2, pp. 204–215. Agarwal, R., & Prasad, J. (2000). A Field Study of the Adoption of Software Process Innovations by Information Systems Professionals. IEEE Transactions on Engineering Management, Vol. 47, No. 3, pp. 295-308. Aguinis, H., Ryan, K.G., & Harry, J. (2013). Best-Practice Recommendations for Defining, Identifying and Handling Outliers. Organisational Research Methods, Vol. 16, No. 2, pp. 270-301. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour. Prentice-Hall, Englewood Cliffs, NJ. Ajzen, I. (1991). The Theory of Planned Behaviour. Organizational Behaviour and Human Decision Processes, Vol. 50, pp. 179-211. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, Vol. 50, No. 2, pp. 179-211. Allen, R. (2013). Statistical for evidence-based practice and evaluation. 3rd edition, Books/ Cole, Cengage Learning, Belmont USA. Ashok, J., David, K., & Bhaskar, R. (2007). Broadband to Empower Rural India. IETE Technical Review, Vol. 24, No 4, pp. 195-201. Alex, D., Christy, C.S., & Ralph, D. (2007). Pharmaceutical Statistics using SAS: A Practical Guide. SAS Institute Inc., United State. Al-Gahtani, S., Hubona, G., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, Vol. 44, No. 8, pp. 681-691. Alias, N. A., Jamaludin, H., Hashim, S., Ismail, I. S., & Suhaili, N. (2008). Theories of Change and Evaluation of Malaysian Rural Internet Centers. Proceedings of IPID Postgraduate Strand at ICTD 2010, pp. 5-9. Allison, P. (1999). Multiple regressions: A primer. CA: Pine Forge Press. Alphonsus, O.A., Elochukwu, A.U., & Sylvanus, I. (2011). Internet Penetration and Diffusion in Orlu Zone of Imo State, Nigeria: Prospects and Bottlenecks. Asian Journal of Information Technology, Vol. 10, No. 4, pp. 149-153. Alshehri, M., Drew, S., Alhussain, T., & Alghamdi, R. (2012). The Effects of Website Quality on Adoption of E-Government Service: An Empirical Study Applying UTAUT Model Using SEM. Website Quality and E-Government Service, pp. 1-13. Amichai-Hamburger, Y.A., Katelyn, Y.A., McKenna, B. C., & Samuel-Azran, T. (2008). E-empowerment: Empowerment by the Internet. Computers in Human Behaviour, Vol. 24, pp. 1776–1789. Amin, M. E. (2005). Social Science Research: Conception, Methodology and Analysis. Makerere University Printery, Kampala. Amitabh, O., Sahu, G.P., & Gupta, M.P. (2009). Antecedents of Paperless Income. Academy of Marketing Science, Vol. 16, No. 1, pp. 74-94. Anderson, B., Gale, C., Jones, M.L.R., & McWilliam, A. (2002). Domesticating Broadband-What Consumers really do With Flat Rate, always-on and Fast Internet Access. BT Technology Journal, Vol. 20 No. 1, pp. 103-14. Anderson, C. (2006). The Long Tail: Why the Future of Business is Selling Less of More. Hyperion, New York, NY. Anderson, J. E., & Schwager, P. H. (2004). SME Adoption of Wireless LAN Technology: Applying the UTAUT Model. Proceedings of the 7th Conference of the Southern Association for Information Systems. Andersson, K. (2000). Knowledge Technology Applications for Knowledge Management. Retrieved from www.uu.divaportal.org/smash/get/ diva2:170306/ FULLTEXT01, May 13th, 2012. Andrea, H.T., Alison, P., & Julio, A.O. (2009). Reforming Policy to Promote Local Broadband Networks. Journal of Communication Inquiry, Vol. 33, No. 4, pp. 354-375. Andy, C., Chris, G., Andy, F., Tom, R., & Steve, B. (2006). Exploiting Digital Records: New Resources and Tools for Qualitative in Contemporary Social Sciences. Retrieved from www.eval.org/resources/qda.htm, March 28th, 2012. Antun, C., Danijel, M., & Josip, S. (2011). Broadband Ecosystem for Rural Areas in the Republic of Croatia. IEEE Explore, pp. 1-9. Armin, M., & Friedrich, L. (2012). Sem-PLS: Structural Equation Modeling Using Partial Least Squares. Journal of Statistical Software, Vol. 48, No. 3, pp. 1-32. Association of College and Research Libraries, 2006. Blueprint for Collaboration. American Library Association. Retrieved from www.ala.org/ala/acrl/acrlpubs/whitepapers/acrlaa slblueprint.htm, January 15th, 2012. Ayankunle, A.T., Ahmad, K.M., & Alan, G.D. (2012). User Acceptance of EGovernment: Integrating Risk and Trust Dimensions with UTAUT Model. International Conference on Computer & Information Science, IEEE Explore, pp. 109-113. Ayres, R.U., & Williams, E. (2004). The Digital Economy: Where Do We Stand? Journal of Technology Forecasting and Social Change, Vol. 71, No. 4, pp. 315–339. Bagozzi, R.P., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Bahaman, A. S., Hayrol, A. M. S., Jeffrey, L. D., & Musa, A. H. (2010). Information Communication Technology, Village Development and Security Committee and Village Vision Movement: A Recipe for Rural Success in Malaysia. Journal of Asian Social Science, Vol. 6, No. 4, pp. 136-144. Baker, K.H., Singleton, C.J., & Veit, T.E. (2011). Survey Research in Corporate Finance: Bridging the Gap between Theory and Practice. Oxford University Press, Inc., 198 Madison Avenue, New York, USA. Balakrishnan, R. (2002). Harnessing ICT for Advancement of Rural Women: FOA Perspectives and Strategic Actions. United Nations Division for the Advancement of Women (DAW) Expert Group Meeting on ―Information and Communication Technologies and Their Impact on and Use as an Instrument for the Advancement and Empowerment of Women‖ Seoul, Republic of Korea. Bar, F., & Park, N. (2006). Municipal Wi-Fi networks: The Goals, Practices, And Policy Implications of the U.S. Case. Communication & Strategies, Vol. 61, No. 1, pp. 107-125. Barbara, M.R. (2010). Structural Equation Modeling with AMOS: Basic Concept, Applications and Programming. 2nd Edition, Routledge Taylor & Francis Group, New York, USA. Barkley, D.L., Markley, D.M., & Lamie, R.D. (2007). E-Commerce as a Business Strategy: Lessons Learned from Case Studies of Rural and Small Town Businesses. Southern Rural Development Center‘s National Rural ECommerce Extension Initiative. IEEE Explore, pp. 1-6. Barnes, S.J. (2011). Understanding Use Continuance in Virtual Worlds: Empirical Test of a Research Model. Information & Management, Vol. 48, No. 8, pp. 313-319. Baron, R.M., & Kenny, D.A. (1986). The Moderator-Mediator Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations. Journal of Personality and Social Psychology, Vol. 51, pp. 1173–1182. Barroso, C., Gabriel, C.C., & Jose, L.R. (2010). Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behaviour Model. Vinzi et al. (Eds.), Handbook of Partial Least Square, Springer-Verlag Berlin Heidelberg. Based on UTAUT. IEEE Explore, pp. 1-4. Bauer, H., & Grether, M. (2005). Virtual Community: It‘s Contribution to Customer Relationships by Providing Social Capital. Journal of Relationships Marketing, Vol. 4, No. 1/2, pp. 91-109. Beilock, R., & Dimitrova, D. (2003). An Exploratory Model of Inter-Country Internet Diffusion. Telecommunications Policy, Vol. 27, No. 3–4, pp. 237–252. Bell, S. (2004). Trapped by the Wrong Dependent Variable: A Call for Individual Technology Routinization and Infusion Research. Proceedings of ASAC. Bentler, P.M. (1988). Causal Modeling Via Structural Equation Systems: Handbook of Multivariate Experimental Psychology. 2nd Edition, Plenum, New York. USA. Betty, J. P., & Oded, S. (2007). International Management Research. 2nd Edition, University of Michigan Press, USA. Bhattacherjee, A., & Premkumar, G. (2004). Understanding Changes in Beliefs and Attitudes toward IT Usage. MIQ Quarterly, Vol. 28, No. 2, pp. 229–255. Bhattacherjee, A. (2001a). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, Vol. 25, No. 3, pp. 351-370. Bhattacherjee, A. (2001b). An Empirical Analysis of the Antecedents of Electronic Commerce Service Continuance. Decision Support Systems, Vol. 32, No. 2, pp. 201-214. Batte, M.T. (2005). Changing Computer Use in Agriculture: Evidence from Ohio. Computers and Electronics in Agriculture, Vol. 47, pp. 1-13. Bernroider, E.W.N. (2008). IT Governance for Enterprise Resource Planning Supported by the DeLone-McLean Model of Information Systems Success. Information and Management, Vol. 45, pp. 257-269. Bischoff, S., Aier, S., & Winter, R. (2014). An Exploration of Factors Influencing the Continuous Use of Business Intelligence Systems. Multikonferenz Wirtschafts informatik, pp. 221-235. Biggs, P., & Tim, K. (2006). Broadband Pricing Strategies. Info Vol. 8, No. 6, pp. 3–14. Birth, A., & Irvine, V. (2009). Preservice Teachers' Acceptance of ICT Integration in the Classroom: Applying the UTAUT Model. Educational Media International, Vol. 46, No. 6, pp. 295-315. Bob, E. Y. (2008). Measuring Customer Satisfaction and Loyalty: Survey Design, Use and Statistical Analysis Methods. 3rd Edition, America Society for Quality, Milwaukee USA. Bock, G.W., Zmud, R.W., & Kim, Y.G. (2005). Behavioural Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate. MIS Quarterly, Vol. 29, No. 1, pp. 87-111. Bode, S., & Riebisch, M. (2010). Impact Evaluation for Quality-Oriented Architectural Decisions Regarding Evolvability. 4th European Conference on Software Architecture, Vol. 6285 of LNCS, pp. 182–197. Bontis, N., Booker, L., & Serenko, A. (2007). The Mediating Effect of Organizational Reputation on Customer Loyalty and Service Recommendation in the Banking Industry. Management Decision, Vol. 45, No. 9, pp. 1426-1445. Bostjan, S., Gregor, P., & Marjan, H. (2010). An Empirical Study of Virtual Learning Environment Adoption Using UTAUT. IEEE Explore Computer Society, pp. 17-22. Breitband (2008). Breitband-Informations Portal Baden-Wurttemberg. Retrieved from http://breitbandbw.info/31.html, December 13th, 2012. Breivold, H., & Crnkovic, I. (2010). A Systematic Review on Architecting for Software Evolvability. 21st Australian Software Engineering Conference, pp. 13–22. Brewer, E., Demmer, M., Du, B., Ho, M., Kam, M., Nedevschi, S., Pal, J., Patra, R., Surana, S., & Fall, K. (2005). The Case for Technology in Developing Regions. Computer, Vol. 38, No. 6, pp. 25-38. Briggs, L. & McBride, K. B. (2002). Rethinking the Digital Divide. Computer, Vol. 35, No. 10, 107-108. Broadband Commission for Digital Development (2010). A 2010 Leadership Imperative: The Future Built on Broadband. New York: International Telecommunication Union and UNESCO. Retrieved from www.broadbandcommission. org/report1/report1.pdf, March 1st, 2014. Broadband Commission (2009). Retrieved from http://www.broadbandcommission.org/, December 13th, 2011. Brown, S., & Venkatesh, V. (2005). Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle. MIS Quarterly, Vol. 29, No. 3, pp.399–426. Brown, S. (2008).Household Technology Adoption, Use, and Impacts: Past, Present, and Future. Journal of Information System Frontier, Vol. 10, No. 4, pp. 397–402. Brutus, S., Aguinis, H., & Wassmer, U. (2013). Self-Report Limitations and Future Directions in Scholarly Reports: Analysis and Recommendations. Journal of Management, Vol. 39, pp. 48-75. Bryman, A., & Bell, A. (2007). Business Research Methods. Oxford: Oxford University Press. BSG Briefing Paper (2004). The Impact of Broadband-Enabled ICT, Content, Applications and Services on the UK Economy and Society to 2010. Retrieved from http://www.broadbanduk.org/ news/news/backgroundpaper, January 3rd, 2012. BSG Report (2008). Report and Strategic Recommendations. Retrieved from http://www.broadbanduk.org/reports/BSG_report1, January 3rd, 2012. Burton, M. C., & Hicks, M. J. (2005). The Residential and Commercial Benefits of Rural Broadband: Evidence from Central Appalachia. Final Report West Virginia. Burton-Jones, A., & Hubona, G. (2006). The Mediation of External Variables in the Technology Acceptance Model. Information and Management, Vol. 43, No. 6, pp. 706-717. Byrne, M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming. 2nd edition, 270 Madison Avenue New York, NY 10016: Routledge Taylor & Francis Group. California Broadband Task Force (2008). The State of Connectivity: Building Innovation through Broadband, State of California. Carayannis, E.G., & Turner, E. (2006). Innovation diffusion and technology acceptance: the case of PKI technology. Journal of Technovation, Vol. 26, No. 7, pp. 847–855. Carlaw, K.I., Lipsey, R. G., & Webb, R. (2007). The Past, Present and Future of the GPT-Driven Modern ICT revolution. Industry Canada, Final (Blue) Report. Caroline, I. P., Brenda, M., & David, S. (2006). An Exploration of the Categories Associated with ICT Project Sustainability in Rural Areas of Developing Countries: A Case Study of Dwesa Project. Proceedings of SAICSIT, pp. 100 – 106. Caroline, P., Brenda, M., & David, S. (2009). An Exploration of the Critical Success Factors for the Sustainability of Rural ICT Projects: The Dwesa Case Study. Information Systems Development, p. 339. Carolyn, F. W., Ora, L. S., & Elizabeth, R. L. (2010). Measurement in Nursing and Health Research. 4th Edition, Springer Publishing Company, LLC., New York, USA. Carriere, R., Rose, J., Sirois, L., Turcotte, N. & Christian, Z. (2000). Broadband changes Everything. McKinsey & Company. Retrieved from www.mckinsey.de/_downloads/knowmatters/ telecommunications/broadband_changes.pdf., March 13th, 2012. Casalo, L.V., Flavian, C., & Guinaliu, M. (2010). Determinants of the Intention to Participate In Firm-Hosted Online Travel Communities and Effects on Consumer Behavioral Intentions. Tourism Management , Vol. 31, pp. 898-911. Castaneda, J., Francisco, M.L., & Teodoro, L. (2007). Web Acceptance Model (WAM): Moderating Effects of User Experience. Information and Management, Vol. 44, pp. 384-396. Cawley, A., & Preston, P. (2007). Broadband and Digital "Content" In the EU-25: Recent Trends and Challenges. Journal of Telematics and Informatics, Vol. 24, No. 4, pp. 259–271. Chanclou, P., Gosselin, S., Ferna´ndez Palacios, J., Alvarez, V., & Zouganeli, E. (2006). Overview of the optical broadband access evolution: A joint article by operators in the IST Network of Excellence e-Photon/ONe, Telenor R&D. IEEE Communications Magazine, pp. 29–35. Chang, I. C., Hwang, H. G., Hung, W. F., & Li, Y. C. (2007). Physicians' Acceptance of Pharmacokinetics-Based Clinical Decision Support Systems. Expert Systems with Applications, Vol. 33, No. 2, pp. 296-303. Chaudhuri, A., Flamm, K., & Horrigan, J. (2005). An Analysis of the Determinants of Internet Access. Telecommunications Policy, Vol. 29, No. 9–10, pp. 731–755. Chen, L.D., Gillenson, M.L., & Sherrell, D.L. (2002). Enticing Online Consumers: An Extended Technology Acceptance Perspective. Information & Management, Vol. 39, No. 8, pp. 705-719. Cheung, C., & Lee, M. (2009). Understanding the Sustainability of a Virtual Community: Model Development and Empirical Test. Journal of Information Science, Vol. 35, No. 3, p. 279. Cheung, C. M. K., & Lee, M. K. O. (2007). What Drives Members to Continue Sharing Knowledge in a Virtual Professional Community? The Role of Knowledge Self-Efficacy and Satisfaction. Second international conference KSEM 2007 proceedings, pp. 472-484. Cheung, M.W.L. (2007). Comparing of Approaches to Constructing Confidence Intervals for Mediating Effects Using Structural Equation Models. Structural Equation Modeling, Vol. 14, pp. 227-246. 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, Vol. 14, No. 2, pp. 189-217. Chin, W.W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, Mahwah, NJ: Lawrence Erlbaum Associates, pp. 295-358. Chin, W.W. (2010). How to Write Up and Report PLS Analysis? Handbook of Partial Least Squares: Concepts, Methods and Applications. Springer Handbooks of Computational Statistics, pp. 655-690. Chin, W.W., Marcolin, B.L., & Newsted, P.N. (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, Vol. 14, No. 2, 189–217. Chin, W.W., Marcolin, B.L., & Newsted, P.R. (1996). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects. Results from a Monte Carlo Simulation Study and Voice Mail Emotion/Adoption Study. In J. I. DeGross, S. Jarvenpaa, & A. Srinivasan (Eds.), Proceedings of the Seventeenth International Conference on Information Systems, pp. 21–41. Chiu, C.M., & Wang, E.T.G. (2008).Understanding Web-Based Learning Continuance Intention: The Role of Subjective Task Value. Information & Management, Vol. 45, No. 3, pp. 194-201. Cho, N., & Park, S. (2001). Development of Electronic Commerce User-Buyer Satisfaction Index (ECUSI) for Internet Shopping. Industrial Management + Data Systems, Vol. 101, No. 8-9, pp. 400-405. Cho, V., Cheng, T.C.E., & Hung, H. (2009). Continued Usage of Technology Versus Situational Factors: An Empirical Analysis. Journal of Engineering and Technology Management. Vol. 26, pp. 264-284. Choudrie, J., & Dwivedi, Y. K. (2005). The Demographics of Broadband Residential Consumers of a British Local Community: The London Borough of Hillingdon. Journal of Computer Information Systems, Vol. 45, No. 4, pp. 93–101. Carl-Erik, S., Bengt, S., & Jan, W. (2003). Model Assisted Survey Sampling. Springer-Verlag New York Inc. Chen, L. (2010). An Extended Model of IS Continuance for Information Oriented Mobile Applications. IEEE Computer Society, pp. 453-458. Chen, S.C., Chen, H.H., Lin, M.T., & Chen, Y.B. (2011). A Conceptual Model to Understand the Effects of Perception on the Continuance Intention in Facebook. Australian Journal of Business and Management Research, Vol. 1, No. 8, pp. 29-34. Chin, Y. L., & Yusop, F. D. (2011). Potential Use of Social Networking Tool to Assist Reading Comprehension: Implications for Practice and Future Research. Journal of Educational Research, Vol. 31, No. 1, pp. 189-201. Christopher, U.S., & Maria-Gorretti, E. (2012). Availability and the Use of Computer and Internet by Secondary School Students in Benin City, Nigeria. International Journal of Library and Information Science, Vol. 4, No. 2, pp. 16-23. Choudrie, J., & Dwivedi, Y. K. (2006). A Comparative Study to Examine the Socio- Economic Characteristics of Broadband Adopters and Non-Adopters. Electronic Government, An International Journal, Vol. 3, No. 3, pp. 272–288. Choudrie, J., & Dwivedi, Y.K. (2004). Analysing the Factors of Broadband Adoption in the Household. Proceedings of the 12th European Conference on Information Systems, Turku Finland, June 14–16, 2004. Choudrie, J., & Dwivedi, Y.K. (2005). The Demographics of Broadband Residential Consumers of a British Local Community: The London Borough of Hillingdon. Journal of Computer Information Systems, Vol. 45 No. 4, pp. 93-101. Choudrie, J., & Lee, H. (2004). Broadband Development in South Korea: Institutional and Cultural Factors. European Journal of Information Systems, Vol. 13, No. 2, pp. 103-114. Choudrie, J., & Middleton, C. (2014). Management of Broadband Technology Innovation: Policy Development and Use. Rougtledge 711 Third Avenue, N.Y, USA. Choudrie, J., & Papazafeiropoulou, A. (2006). Lessons Learnt from the Broadband Diffusion in South Korea and the UK: Implications for Future Government Intervention in Technology Diffusion. Electronic Government: An International Journal, Vol. 3 No. 4, pp. 373-85. Christine & Carlo (2009). Economic Impact of Broadband. Retrieved from www.book.google.com/advantages+of+broadband, February 3rd, 2012. Christine, R. M. (2010). Research Methods for Generalist Social Work. 5th Edition, Cengage Learning, 20, Davis Drive, USA. Christodoulos, C., Michalakelis, C., & Varoutas, D. (2011). On The Combination of Exponential Smoothing and Diffusion Forecasts: An Application to Broadband Diffusion in the OECD Area. Technological Forecasting and Social Change, Vol. 78, No. 1, pp. 163–170. Churchill, A.G., Brown, J.T., & Suter, A.T. (2010). Basic Marketing Research. 7th Edition. ISBN-10:1439041393. Churchill, G.A., & Brown, T.J. (2004). Basic Marketing Research. (5th Ed.), Sydney: South-Western College. Churchill, G.A., & Suprenant, C. (1982). An Investigation into the Determinants of Customer Satisfaction. Journal of Marketing Research, Vol. 19, No. 4, pp. 491-504. Click to Tech (2011). The ISDN Connection. Retrieved from http://clicktotech.blogspot.com/ 2010/05/isdn-integrated-service-digitalnetwork. html, February 28th, 2014. Cohen, J., Cohen, P., West, S.G., & Aiken, L.S. (2003).Applied Multiple Regression/ Correlation Analysis for the Behavioural Sciences. 3rd Edition, Mahwah, NJ: Lawrence Erlbaum. Compeau, D., Higgins, C.A., & Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, Vol. 23, No. 2, pp. 145-158. Cooper, D. R., & Schindler, P. S. (2003). Business Research Methods. 8th Edition, Boston: MA: McGrraw Hill. Corning (2005). Broadband Technology Overview. Retrieved from www.corning.com/docs/opticalfiber /wp6321.pdf, January 13th, 2012. Cox, D. R., & Christl, A. D. (2011). Principles of Applied Statistics. Cambridge University Press, New York, United Kingdom. Craig, K.E. (2010). Applied Missing Data Analysis. The Guilford Press, 72 Spring Street, New York, USA. Crandall, R. W., Jackson, C. L., & Singer, H. j. (2003). The Effect of Ubiquitous Broadband Adoption on Investment, Jobs and Us Economy. Washington, D.C, Criterion Economics, L.L.C. Crandall, R.W., Litan, R.E., & Lehr, W. (2007). The Effects of Broadband Deployment on Output and Employment: A Cross-Sectional Analysis of U.S. Data. Issues of Economic Policy, Vol. 6, pp. 1–34. Creswell, J. W., & Plano-Clark, V. L. (2011). Designing and Conducting Mixed Methods Research. Thousand Oaks, CA: Sage Publication. Creswell, J. W. (2003). Research Design: Qualitative, Quantitative, and Mixed Method Approaches. Thousand Oaks, Calif. London: Sage Publications. Creswell, J. W. (2009). The Research Design: Qualitative, Quantitative and Mixed Methods Approaches. 3rd Edition, Sage Publications, Inc., California, USA. Croatia Government (2007). Strategy of Rural Development of the RoC from 2008 to 2013. Ministry of Agriculture, Fisheries and Rural Development of the Republic of Croatia. Curtis, L., Edwards, C., Fraser, K., Gudelssky, S., Holmquist, J., & Thornton, K. (2010). Adoption of Social Media for Public Relations by Non-Profit Organizations. Public Relations Review, Vol. 36, pp. 90-92. Czernich, N., Falck, O., Kretschmer, T., & Woessmann, L. (2011). Broadband Infrastructure and Economic Growth. The Economic Journal, Vol. 121, No. 552, pp. 505-532. Dahlan, N., Ramayah, T., & Koay, A.H. (2002). Data mining in the banking industry: an Exploratory Study. The proceedings of the International Conference, Internet Economy and Business, Kuala Lumpur, Malaysia. Damiani, M.L., Bertino, E., & Silverstri, C. (2008). An Approach to Supporting Continuity of Usage in Location-Based Access Control. IEEE Computer Society, pp. 199-205. Damiani, M.L., Bertino, E., & Silvestri, C. (2008). An Approach to Supporting Continuity of Usage in Location-Based Access Control. IEEE Computer Society, pp. 199-205. 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, Vol. 19, No. 4, pp. 9-30. Damon, P. S., Paul, M. P., & Chad, D. M. (2011). Research Methods and Design in Sport Management. Human Kinetics, USA. Daniel, M. (2012). Design Characteristics of Virtual Learning Environments: A Theoretical Integration and Empirical Test of Technology Acceptance and IS Success Research. Springer Gabler, Germany. David, C., & Robert, W.C. (2007). Designing and Constructing Instruments for Social Research and Evaluation. John Wiley & Sons, Inc. David, L.O., & Dursun, D. (2008). Advanced Data Mining Techniques. Springer-Verlag Berlin Heidelberg, USA. Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology. Davis, F.D., & Venkatesh, V. (2004). Toward Preprototype User Acceptance Testing of New Information Systems: Implications for Software Project Management. IEEE Transactions on Engineering Management, Vol. 51, No. 1, pp. 31-46. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, Vol. 35, 982–1002. Davison, A.C., & Hinkley, D.V. (1997). Bootstrap Methods and their Application. Cambridge, UK: Cambridge University Press. De Vaus, D. (2001). Research Design in Social Research. London: Sage Publications. DeepSearcher Inc. (2012). Narrowband Dial-Up Connection. Retrieved from http://www.intelligentedu.com/computer_security _for_everyone/13-networking-security.html, January 13th, 2014. Delone, W.H., & McLean, E.R. (1992). Information System Success: The Quest for the Dependent Variable. Information Systems Research, Vol. 3, No. 1, pp. 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, Vol. 19, No. 3, pp. 9-30. Deng, L., Turner, D.E., Gehling, R., & Prince, B. (2010). User Experience, Satisfaction, and Continual Usage Intention of It. European Journal of Information Systems, Vol. 19, No. 1, pp. pp. 60-75. Denis, C., & Sylvain, C. (2010). Outliers Detection and Treatment: A Review. International Journal of Psychological Research, Vol. 3, No. 1, pp. 58-67. Derek, D.R., Kristopher, J.P., Zakary, L.T., & Richard, E.P. (2011). Mediation Analysis in Social Psychology: Current Practices and New Recommendations. Social and Personality Psychology Compass, Vol. 5, No. 6, pp. 359-371. Derry, S. J. (2007). Video Research in Classroom and Teacher Learning: Standardize That! Video Research in the Learning Science, pp. 305-320. Derry. J. S, Roy, D. P., Brigid, B., Randi, A. E., Frederik, E., Ricki, G., Rogers, H., Timothy, K., Jay, L. L., Miriam, G. S., & Bruce, L. S. (2010). Conducting Video Research in the Learning Sciences: Guidance on Selection, Analysis, Technology and Ethics. Journal of Leaning Sciences, Vol. 19, pp. 3-53. Devaraj, S., & Kohli, R. (2003). Performance Impacts of Information Technology: Is Actual Usage the Missing Links. Management Science, Vol. 49, No. 3, 273–289. DeVellis, R.F. (2003). Scale Development: Theory and Implications. 2nd Edition, Thousand Oaks, California: Sage. Dewan, S., & Riggins, F. (2007). The Digital Divide: Current and Future Research Directions. Journal of the Association for Information Systems, Vol. 6, No. 2, pp. 298–337. Dickes, A., Lamie, R.D., & Whitacre, B.E. (2010). The Struggle for Broadband in Rural America. Choices, Vol. 25, No. 4, pp. 23-34. Djamasbi, S., & Strong, D.M. (2008). The Effect of Positive Mood on Intention to Use Computerised Decision Aids. Information and Management, Vol. 45, pp. 43-51. Dong, C., Gang, L., Cheng, Q., & Song, Y.F. (2008). Customer Acceptance of Internet Banking: Integrating Trust and Quality with UTAUT Model. IEEE Explore, pp. 383-388. Douglas, C.M., Elizabeth, A.P., & Vining, G.G. (2013). Introduction to Linear Regression Analysis. 5th edition, New York: John Wiley & Sons, Inc. Du, H.S., & Wagner, C. (2006). Weblog success: exploring the role of technology. International Journal of Human-Computer Studies, Vol. 64, No. 9, pp. 789-798. Dutta, A., & Roy, R. (2005). The mechanics of Internet growth: A developing country perspective. International Journal of Electronic Commerce, Vol. 9, 143–165. Dwivedi, Y. K., & Weerakkody, V. (2007). Examining the Factors Affecting the Adoption of Broadband in the Kingdom of Saudi Arabia. International Journal of Electronic Government, Vol. 4, No. 1, pp. 43-58. Dwivedi, Y. K., Choudrie, J., & Brinkman, W. P. (2006). Development of a Survey Instrument to Examine Consumer Adoption of Broadband. Industrial Management and Data System, Vol. 106, No. 5, pp. 700-718. Dwivedi, Y. K., Choudrie, J., & Brinkman, WP. (2006). Consumer Usage of Broadband in British Households. International Journal of Services and Standards, Vol. 2, No. 4, pp. 400-416. Dwivedi, Y. K., Khan, N., & Papazafeiropoulou, A. (2006). Consumer Adoption and Usage of Broadband in Bangladesh. Proceedings of the Twelfth Americas Conference on Information Systems. Dwivedi, Y. K., Khan, N., & Papazafeiropoulou, A. (2007). Consumer Adoption and Usage of Broadband. Hershey, PA, USA: IRM Press-IGI Global. Dwivedi, Y. K., Khan, N., & Papazafeiropoulou, A. (2007). Consumer Adoption and Usage of Broadband in Bangladesh. International Journal of Electronic Government, Vol. 4, No 3, pp. 299-313. 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. Journal of Information System Front, Vol. 12, pp. 207-217. Dwivedi, Y.K. (2005). Investigating Adoption, Usage and Impact of Broadband: UK Households. DISC, Brunel University, UK. Earl, B. (2011). The Basics of Social Research. Fifth Edition, WADSWORTH CENGAGE Learning, USA. Economic and Environmental Science Team (2009). Broadband Spotlight. Oireachtas Library and Research Services, pp. 1-16. Ellershaw, J. C., Riding, J. L., Tran, A. V., Guan, L. J., & Smith, T. (2008). Economic analysis of broadband access for Australian rural and remote areas, ATNAC, pp. 1-4. Elliot, S., Li, G., & Choi, C. (2012). Understanding Service Quality in a Virtual Travel Community Environment. Journal of Business Research, pp. 1-8. Ellison, S.L.R., Barwick, V.J., & Farrant, T.J.D. (2009). Practical Statistics for the Analytical Scientist: A Bench Guide. RCS Publishing, Science Park, Milton Road Cambridge CB4 0WF, UK. Emily, S. A., & Roger, C. (2011). An Invitation to Social Research: How It’s Done. Fourth Edition, WADSWORTH CENGAGE Learning, USA. Eneh, O. C., & Owo, N. J. (2008). Development and ICTs in Developing Countries. Int. J. Dev. Stud., Vol. 3, pp. 42-47. Eneh, O. C. (2008). Research and Computer Applications in Developing Countries. A Review. J. Sci. Eng. Technol., Vol. 15, 8032-8044. Ensley, M. D., Pearce, C. L., & Hmieleski, K. M. (2006). The Moderating Effect of Environmental Dynamism on the Relationship between Entrepreneur Leadership and New Venture Performance. Journal of Business Venturing, No. 21, pp. 243-263. Eriksson, K., & Nilsson, D. (2007). Determinants of the Continued Use of Self- Service Technology: The Case of Internet Banking. Journal of Technovation, Vol. 27, 157-167. European Commission (2006). Broadband Internet Access: The Territorial Divide. Retrieved from http://europa.eu/scadplus/leg/en/lvb/124190c. htm, January 10th, 2012. Evens, T., Schuurman, D., De Marez, L., & Verleye, G. (2010). Forecasting Broadband Internet Adoption on Trains in Belgium. Journal of Telematics and Informatics, Vol. 27, No. 1, pp. 10–20. Fang, X., Chan, S., Brzezinski, J., & Xu, S. (2006). Moderating Effects of Task Type on Wireless Technology Acceptance. J Manag Inf Syst, Vol. 22, No. 3, pp. 123–157. Faziharudean, T. M., & Mitomo, H. (2006). Digital Divide among Public Servants in Malaysia: Urban -Rural Differences in Valuing the Use of Internet. Journal of Japan Section of Regional Science Association, Vol. 35, No. 4, pp. 837-849. Feller, B. (2006). Digital Divide Still Separates Students. Retrieved from www.msnbc.msn.com, August13th, 2014. Frank, G., Johannes, N., & Yvonne, K. (2013). Assessing Individual Differences in Basic Computer Skills: Psychometric Characteristics of an Interactive Performance Measure. European Journal of Psychological Assessment, Vol. 29, No. 4, pp. 263-275. Federal Communications Commission. (2009). Bringing Broadband to Rural America. Retrieved from www.transistion.fcc.gov/Bureaus/Common_ Carrier/Reports/fcc99005.txt, January 14th, 2014 Federal Communications Commission (1999). Inquiry Concerning the Deployment of Advanced Telecommunications Capability to All Americans in a Reasonable and Timely Fashion and Possible Steps to Accelerate such Deployment Pursuant to Section 706 of Communications Act of 1996. Retrieved from www.fcc.gov, February 10th, 2013. Federal Trade Commission (2008). Shopping for Broadband: Satisfying your Need for Speed. Retrieved from www.ftc.gov, February 7th, 2012. 296 Field, A. (2009). Discovering Statistics Using SPSS. 3rd Edition, London: Sage Floh, A., & Treiblmaier, H. (2006). What Keeps the e-Banking Customers Loyal? A Multi-Group Analysis of the Moderating Role of Customer Characteristics on e-Loyalty in the Finance Service Industry. Journal of Electronic Commerce Research, Vol. 7, No. 2, pp. 97-110. Foo, S. & Cheung Hiu, S. (1998). A Framework for Evaluating Internet Telephony Systems. Internet Research: Electronic Networking Applications and Policy, Vol. 8, No. 1, pp. 14–25. Fornell, C., & Larcker, D.F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, Vol. 18, No. 3, pp. 328-388. Fornell, C. (1982). A Second Generation of Multivariate Analysis: An Interview. Fornell C. (Edu.), Vol. 1, pp. 1-21, Praeger, New York, USA. Fouad, S., & Kay, F. (2008). ICT Provision in a Rural Community: A New Zealand Case Study. AIDIS International Conference ICT, Society and Human Beings. Fowler, F. J. (2002). Survey Research Methods. London: SAGE Publications Inc. Fox, S. (2004). Older Americans and the Internet. The Pew Internet and American Life Project. Retrieved from www.pewInternet.org, June 22nd, 2012. Fransman, M. (Ed.). (2006). Global broadband battles: Why the US and Europe lag while Asia leads. Stanford: Stanford University Books. Freezone (2014). ADSL Connection. Retrieved from from www.cyber.law.harvard.edu/readinessguide/ glossary, January 26th, 2012. Gan, C., Clemes, M., Limsombunchai, V., & Weng, A. (2006). A Logit Analysis of Electronic Banking in New Zealand. Information Journal of Bank Marketing, Vol. 24, No. 6, pp. 360-383. GAO, Government Accountability Office. (2006). Broadband Deployment is Extensive throughout the United States, But it is Difficult to Assess the Extent of Deployment Gaps in Rural Areas. Retrieved from www.gao.com/pdf, January 5th, 2013. Garcia, F.A.A. (2012). Tests to Identify Outliers in Data Series. Retrieved from habcam.whoi.edu/HabCamData/HAB/processed/Outlier Methods_external.pdf, September 2nd, 2013. Garson, D. (2002). Guide to Writing Empirical Papers, Thesis and Dissertation. New York: Marcel Dekker. Gefen, D., & Straub, D.W. (2005). A Practical Guide to Factorial Validity using PLS-graph: Tutorial and Annotated Example. Communications of the AIS, Vol. 16, No. 5, pp. 91-109. Gholami, R., Higon, D.A., Hanafizadeh, P., & Emrouznejad, A. (2010). Is ICT the Key to Development? Journal of global information management, Vol. 18, No. 1, p. 1. Ghosh, A., Wolter, D.R., Andrews, J.G., & Runhua, C. (2005). Broadband Wireless Access with WIMAX/802.16: Current Performance Benchmarks and Future Potential. IEEE Communication Magazine, Volume 43, No. 2, pp. 129-136. Gianni, G., & Franceschini, F. (2003). A New Model to Support the Personalised Management of a Quality e-Commerce Service. International Journal of Service Industry Management, Vol. 14, No. 3, pp. 331-346. Gillett, S., Lehr, W., & Sirbu, M. (2006). Measuring the Economic Impact of Broadband Deployment. Final Report, National Technical Assistance, Training, Research and Evaluation Project 99-07-13829. Washington, D.C: Economic Development Administration, US Department of Commerce. Global e-School and Communities Initiative (2010). Retrieved from http://www.gesci.org, November 30th, 2011. Gnanial, J., Peter, S., Alvin, Y., Hushairi, Z., & Khairuddin, A.H. (2006). The Needs for Community Informatics in Malaysia. Encyclopedia of Developing Regional Communities with Information and Communication Technology, Hershey PA: Idea Group Publishing, pp. 512-517. Gregor, S., & Jones, K. (1999). Beef Selling Online: Diffusion Theory Applied. Information Technology & People, VOl. 12, No. 1, pp. 71–85. Globalcomm Data Services (2009). Retrieved from www.telegeography.com/research-services/ globalcomms-database-service, March 1st, 2012. Goldfarb, A., & Prince, J. (2008). Internet Adoption and Usage Patterns Are Different: Implications for the Digital Divide. Information Economics and Policy, Vol. 20, No. 1, pp. 2–15. Gregory, S., & Theresa, W. (2007). Doing the Things We Do: A Grounded Theory of Academic Procrastination. Journal of Education Psychology, Vol. 99, No. 1, pp. 12-25. Grimes, S, (2000). Rural Areas in the Information Society: Diminishing Distance or Increasing Learning Capacities? Journal of Rural Studies, Vol. 16, pp. 13-21. Haenlein, M., & Kaplan, A.M. (2004). A Beginner Guide to Partial Least Squares Analysis. Understanding Statistics, Vol. 3, No. 4, pp. 283-297. Haines, R., & Leonard, L.N.K. (2007).Individual Characteristics and Ethical Decision-Making in an IT Context. Industrial Management & Data Systems, Vol. 107 No. 1, pp. 5-20. Hair, J.F., Black, W., Barry, B.J., Anderson, R.E., & Tatham, R.L. (2006). Multivariate Data Analysis. 6th Edition, Upper Saddle River, N.J.: Pearson Education Inc. Ham, J., park, J., Lee, J.N., & Moon, J.Y. (2012). Understanding Continuous Use of Virtual Communities: A Comparison of Four Theoretical Perspectives. IEEE Computer Society, pp. 753-762. Hansen, T., Jensen, J.M., & Solgaard, H.S. (2004). Predicting Online Grocery Buying Intention: A Comparison of the Theory of Reasoned Action and the Theory of Planned Behaviour. International Journal of Information Management, Vol. 24, No. 6, pp. 539-560. Hargittai E. (2008). The Digital Reproduction of Inequality. In Grusky D, ed. Social Stratification. Boulder, CO: Westview Press. Hasan, B., & Ali, J.M.H. (2004). An Empirical Examination of a Model of Computer Learning Performance. The Journal of Computer Information Systems, Vol. 44, No. 4, pp. 27-34. Herman, J.A., Gideon, J.M., & David, J.H. (2008). Advising On Research Methods: A Consultant’s Companion. Johannes Van Kessel publishing, Huizen, The Netherlands. Ho, C.H. (2010). Continuance Intention of E-Learning Platform: Toward an Integrated Model. International Journal of Electronic Business Management, Vol. 8, No. 3, pp. 206-215. Ho, C.T. (2009). The Relationship between Knowledge Management Enablers and Performance. Industrial Management and Data Systems, Vol. 109, No. 1, pp. 98-117. Huh, W.K. (2008). Can Information Technology Revive Rural Economies? The Cases of E-Villages in Korea and Japan. Korea Geography Society Journal, Vol. 43, No. 5, pp. 728-742. Hussein, R., Mohamed, N., Ahlan, A.R., & Mahmud, M. (2010). E-government Application: An Integrated Model on G2C Adoption of Income Tax. Transforming Government: People, Process and Policy, Vol. 5, No. 3, pp. 225-248. Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Inc., 2455 Teler Road, California USA. Hair, J.F., Mary, W.C., Arthur, H.M., Phillip, S., & Michael, J.P. (2011c). Essentials of Business Research Methods. 2nd Edition, Sharpe M.E. Inc., USA. Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011a). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, Vol. 19, No. 2, pp. 139-151. Hair, J.F., Sarstedt, M., Ringle, C.M., & Mena, J.A. (2011b). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science, pp. 1-20. Hair, J.F.J, William, C.B., Barry, J.B., & Rolph, E.A. (2010). Multivariate Data Analysis. 7th Edition, Uppersaddle River, New Jersey: Pearson Education International. Ham, J., Park, J., Lee, J.N., & Moon, J.Y. (2012). Understanding Continuous Use of Virtual Communities: A Comparison of Four Theoretical Perspectives. IEEE Computer Society, pp. 753-762. Hanadi, B., Mark, H., & Lan, M. (2011). Stakeholders‘ Perspectives of LIS Students‘ ICT Skills in Kuwait. Second Kuwait Conference on e-Services and e-Systems, pp. 1-9. Hancook, B. (2002). Trend Focus for Research and Development in Primary Health Care: An Introduction to Qualitative Research. Division of General Practice. Trend Focus Group, University of Nottingham. Hannemyr, G. (2003). The Internet as hyperbole: a critical examination of adoption rates. The Information Society, Vol. 19, No. 2, pp. 111–121. Harvard Law School (2007). The Berkman Center for Internet and Society. Glossary of Items: Information Age. Retrieved www.law.harvard.edu, March 13th, 2011. Hassanien, A., Rouibah, K., Khalil, O., and AlShawaf, A. (2008) Emerging Markets and E-Commerce in Developing Economies. Retrieved from www.igiglobal.com/reference/details.asp?id= 8178, May 21st, 2012. Hayes, A.F. (2009). Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium. Communication Monographs, Vol. 76, No. 4, pp. 408-420. He, J.W., & Wei, K.K. (2006). Knowledge Management Systems (KMS) Continuance in Organizations: A Social Relational Perspective. Information and Management. Vol. 43, pp. 822-829. He, W., & Wei, K. K. (2009). What Drives Continued Knowledge Sharing? An Investigation of Knowledge Contribution and Seeking Beliefs. Decision Support Systems, Vol. 46, pp. 826-838. Hee, S.L., Taek, G.K., & Ji, Y.C. (2012). A Study on the Factors Affecting Smart Phone Application Acceptance. 3rd International Conference on EEducation, E-Business, E-Management and E-Learning, pp. 27-33. Heidi, J., & Susan, B. (2009). How High-School Students Find and Evaluate Scientific Information: A Basis for Information Literacy Skills Development. Library and Information Science Research, Vol. 31, No. 1, pp. 12-17. Helaiel, A. (2009). Validating the Unified Theory of Acceptance and Use of Technology in Kuwait Ministries: A Structural Equation Modeling Approach. International Journal of Information Systems and Change Management, Vol. 3, No. 3, pp. 191-219. Helm, S., Eggert, A., & Garnefeld, I. (2010). Modeling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using Partial Least Squares. In V. Vinzi, W. Chin, J. Henseler & H. Wang (Eds.), Handbook of Partial Least Squares, Berlin, Germany Springer-Verlag Berlin Heidelberg, pp. 515-534. Henseler, J., & Fassott, G. (2010). Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures. V. Esposito Vinzi et al. (eds.), Handbook of Partial Least Squares, Springer Handbooks of Computational Statistics, Springer-Verlag Berlin Heidelberg, pp. 713-735. Henseler, J., Ringle, C.M., & Sinkovics, R.R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing, Vol. 20, pp. 277-319. Herman, A. P., & Ettema, J. S. (2007). A Community Confronts the Digital Divide: A Case Study of Social Capital Formation through Communication Activism. Communication Activism: Media and Performance Activism. Cresskill, NJ: Hampton Press, pp. 255−284. Hilberg, J.S., & Gabriele, M. (2008). Undergraduate Fluency with Information and Communication Technology: Perceptions and Reality. ACM Special Interest Group for Information Technology Education, pp. 1-5. Hoehle, H., Huff, S., & Goode, S. (2012). The Role of Continuous Trust in Information Systems Continuance. Journal of Computer Information Systems, Vol. 52, No. 4, pp. pp. 1-9. Hoffman, D.L., & Novak, P.P. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing, Vol. 60, No. 3, pp. 50-68. Holmbeck, G.N. (1997). Toward Terminological, Conceptual and Statistical Clarity in the Study of Mediators and Moderators: Examples from the Child-Clinical and Pediatric Psychology Literatures. Journal of Consulting and Clinical Psychology, Vol. 95, No. 4, pp. 599-610. Homburg, C., & Giering, A. (2001). Personal Characteristics as Moderators of the Relationship between Customer Satisfaction and Loyalty: An Empirical Analysis. Psychology & Marketing, Vol. 18, No. 1, pp. 43–66. Hong, S. J., Tam, K. Y., & Kim, J. (2006). Mobile Data Service Fuels the Desire for Uniqueness. Commun. ACM, Vol. 49, No. 9, pp. 89-94. Hong, S.J., James, Thong, J.Y.L., & Tam, K.Y. (2006). Understanding Continued Information Technology Usage Behaviour: A Comparison of Three Models in the Context of Mobile Internet. Decision Support Systems, Vol. 42, pp. 1819-1834. Hong, S.J., Thong, J.Y.L., & Tam, K.Y. (2008). Understanding Continued Information Technology Usage Behaviour: A Comparison of Three Models in the Context of Mobile Internet. Decision Support Systems, Vol. 42, pp. 1819-1834. Horrigan, J., & Murray, K. (2006). Rural Broadband Internet Use. Pew Internet and American Life Project Available. Retrieved from www.pewinternet.org/Reports/2009/10-Home-Broad band-Adoption-2009.aspx, December 10th, 2012. Horrigan, J. (2009). Home broadband adoption in Washington, D. C. Pew Internet & American Life Project Available. Retrieved from www.pewinternet.org/Reports/2009/10-Home- Broadband-Adoption-2009.aspx, December 14th, 2013. Horrigan, J.B., & Rainie, L. (2002). The Broadband Difference: How Online Americans‘ Behaviour Changes with High-Speed Internet Connections at Home. Pew Internet and American Life Project. Retrieved from www.pewinternet.org /pdfs/PIP_Broadband_Report.pdf, March 10th, 2012. Houghton, J. (2009). ICT and the Environment in Developing Countries: Developments. Center for Strategic Economic Studies, Victoria University Australia, DRAFT REV 3, pp. 1-21. Houghton, J.W., & Welsh, A. (2009). Australian ICT Trade Update 2009. Australian Computer Society, Sydney. Retrieved from www.cfses.com, January 25th, 2012. Howick, S., & Whalley, J. (2008). Understanding the Drivers of Broadband Adoption: The Case of Rural and Remote Scotland. J Opl Res Soc., Vol. 59, No. 10, pp. 1299–1311. Hsiao, K.L. (2012). Exploring the Factors that Influence Continuance Intention to Attend One-To-Some Online Courses via Videoconferencing Software. The Turkish Online Journal of Educational Technology, Vol. 11, No. 4, pp. 155-163. Hsing, I.W., & Heng, L.Y. (2005). The Role of Personality Traits in UTAUT Model under Online Stocking. Contemporary Management Research, Vol. 01, No. 01, pp. 69-82. Hsu, C. L., & Lu, H. P. (2004). Why Do People Play On-Line Games? An Extended TAM with Social Influences and Flow Experience. Inform Mngt., Vol. 41, No. 7, pp. 853–868. Hsu, T.H., Wang, Y.S., & Wen, S.C. (2006). Using the Decomposed Theory of Planned Behaviour to Analyse Consumer Behavioural Intention towards Mobile Text Message Coupons. Journal of Targeting, Measurement and Analysis for Marketing, Vol. 14, No. 4, pp. 309-324. Hung, S.Y., Chang, C.M., & Yu, T.J. (2006). Determinants of User Acceptance of the E-Government Services: The Case of Online Tax Filing and Payment System. Government Information Quarterly, Vol. 23, No. 1, pp. 97-122. Hwang, I.H., Yu, C.C., Tsai, S.J., & Lin, C.H. (2011). An Empirical Study of the Factors Affecting Continuous Usage Intention of Double Reinforcement Interactive E-Portfolio Learning System. IEEE Explore, pp. 246-249. Ibrahim, K., & Erik, B. (2011). An Assessment of Mobile Broadband Access in Indonesia: A Demand and Supply Problem? Internetworking Indonesia Journal, Vol. 3, No. 2, pp. 15-22. ICTlogy (2007). Retrieved from www.ictlogy.net/review/?p=518, 17th October, 2012. Ifinedo, P., & Davidrajuh, R. (2005). Digital Divide in Europe: Assessing and Comparing the E-Readiness of a Developed and an Emerging Economy in the Nordic Region. International Journal of Electronic Government, Vol. 2, No. 2, pp.111–133. Igbaria, M., & Tan, M. (1997). The Consequences of Information Technology Acceptance on Subsequent Individual Performance. Information & Management, Vol. 32, No. 3, pp. 113-121. International Telecommunication Union (2012a). The Impact of Broadband on the Economy: Research to Date and Policy Issues. Geneva: ITU Telecommunication Development Bureau. Retrieved from www.itu.int/ITUD/ict/publications/idi/ material/2012/MIS2012_without_Annex_4.pdf, December 28th, 2013. International Telecommunication Union (2012b). Measuring the Information Society. Geneva: International Telecommunication Union. Retrieved from www.itu.int/ITUD/ict/publications /idi/material/2012/MIS2012_without_Annex_4.pdf, December 30th, 2013. Internet World Stats (2010). Malaysia Internet Usage Stats and Marketing Report. Retrieved from http://www.internetworldstats.com/asia/my. htm, December 14th, 2011. Internet World Stats. (2005). Internet Usage Statistics- The Big Picture: World Internet Users and Population Stats. Retrieved from www.internetworldstats.com/stats.htm, June 22nd, 2012. Irani, Z., Dwivedi, Y. K., & Williams, M. D. (2009). Understanding Consumer Adoption of Broadband: An Extension of Technology Acceptance Model. Journal of the Operational Research Society, Vol. 60, pp. 1322-1334. Inteco (1998). Why Do People Choose ISPs And Why Do They Drop Them? Inteco Corporation Press Report, Stamford Connecticut, USA. ITU (2004). Information Technology Indicators. Retrieved from http://www.itu.int/ITU-D/ict/ publications/wtdr_02/material/WTDR02-Sum_E.pdf, May 1st, 2012. ITU (2010). News Room-Press Release. Retrieved from www.itu.int/pressoffice/press_release/2010/ 39.aspx, February 10th, 2012. ITU (2011). Retrieved from www.itu.int/osg/spu/ publications/birthofbroadband/faqes.html, 17th October, 2012. ITU Internet Report (2006). Digital Life. Retrieved from www.itu.int/osg/spu/publications/ digitalife/docs/digital-life-web.pdf, March 28th, 2012. Ives, B., Olson, M.H., & Baroudi, J.J. (1983). The Measurement of User Information Satisfaction. Communications of the ACM, Vol. 26, No. 10, pp. 785-793. Jan, R. (2013). Scientific Research in Information Systems: A Beginner’s Guide. Springer Heidelberg, New York, USA. Jan, W., & Colin, D. (2009). Marketing Research. Juta and Company Ltd., Cape Town, South Africa. Jae-Nam, L., & Young-Gul, K. (2005). Understanding Outsourcing Partnership: A Comparison of Three Theoretical Perspectives. IEEE Transactions on Engineering Management, Vol. 52, No. 1, pp. 43-58. John, L., & Khaled, H. (2010). A Continuance Model for a Mobile/Web Based Self Management System for Adolescent Diabetics: The Role of Loyalty Incentives. Proceedings of 18th European Conference on Information Systems, pp. 1-12. Junaida, I., Mahadir, L.A., & Sharunizam, S. (2010). Service Quality Performance in Academic Libraries. International Conference on Science and Social Research, IEEE Explore, pp. 867-871. Jeff, S. (2007). Street Fighter Marketing Solutions: How-One-On-One Marketing Will Help You Overcome the Sales Challenges of Modern-Day Business. Free Press, Simon and Schuster Inc. Jelke, B. G. (2009). Applied Survey Methods: A Statistical Perspective. John Wiley & Sons, Inc., Hoboken, New Jersey, USA. Jeruwachirathanakul, B., & Fink, D. (2005). Internet Banking Adoption Strategies for a Developing Country: The Case of Thailand. Internet Research, Vol. 15, No. 3, pp. 295-311. Jin, Y. S., & Li, Z. H. (2011). A Use-Diffusion Model of 3G Services in China. African Journal of Business Management, Vol. 5, No. 27, pp. 11168-11177. John, W.G. (2012). Missing Data: Analysis and Design. Springer Science, New York, USA. Jovanovic, B., & P. L. (2005). Handbook of Economic Growth. Elsevier B.V, Vol. 1B, pp. 1181-1224. Jung, Y., Perez-Mira, B., & Wiley-Patton, S. (2009). Consumer Adoption of Mobile TV: Examining Psychological Flow and Media Content. Computers in Human Behaviour, Vol. 25, 123–129. Junhee, P., Kwangil, L., Donghwan, P., & Kyeongdeok, M. (2007). QoS Aware Bridge for High-Speed Powerline Communication and Ethernet. IEEE Transaction on Computer Electronics, Vol. 53, No. 1, pp. 50-54. Juyeon, H., Jihun, P., Jae-Nam, L., & Jae, Y. M. (2012). Understanding Continuous Use of Virtual Communities: A Comparison of Four Theoretical Perspectives. 45th Hawaii International Conference on System Sciences, pp. 753-762. Kakooza, T. (2002). Research: An Introduction to Research Methodology. National Adult Education Association, Kampala. Kahn, J. (2006). Reporting mediation and moderation. Retrieved from www.jeremydrawson.co.uk/slopes.htm, December 14th, 2013. Kandasamy, M., & Shah, P.M. (2013). Knowledge, Attitude and Use of ICT among ESL Teachers. Proceedings of the Global Summit on Education, pp. 914-930. Kettinger, W.J., & Lee, C.C. (1997). Pragmatic Perspective on the Measurement of Information Systems Service Quality. MIS Quarterly, Vol. 21, No. 2, pp. 223-240. Kok-Lim, A.Y., Corinne, J.P., Heng, T.D.C., Kae, H.K., & Alvin, T. (2011). Exploring Sustainability of the Deployment of Wireless Broadband in Malaysia Rural Areas: Comprehensive Insights. IEEE Colloquium on Humanity, IEEE Explore, pp. 148-152. Kotler, P. (2003). Marketing Management. New Jersey: Prentice Hall. Krejcie, R.V., & Morgan, D.W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, Vol. 30, pp. 607-610. Krieglmeyer, R., Deutsch, R., Houwer, J.D., & Raedt, R.D. (2010). Being Moved: Valence Activates Approach-Avoidance Behaviour Independently of Evaluation and Approach-Avoidance Intentions. Journal of Psychological Science, Vol. 21, No. 4, pp. 607-613. Kuhlemeier, H., & Hemker, B. (2007). The Impact of Computer Use at Home on Students‘ Internet Skills. Computer and Education, Vol. 49, No. 2, pp. 460-480. Kankanhalli, A., Tan, B.C.Y., & Wei, K.K. (2005). Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation. MIS Quarterly, Vol. 29, No. 1, pp. 113-43. Karahanna, E., Agarwal, R., & Angst, C. (2006). Reconceptualising Compatibility Beliefs in Technology Acceptance Research. MIS Quarterly, Vol.30, No.4, pp. 781-804. Karahanna, E., Ahuja, M., Srite, M., & Galvin, J. (2002). Individual Differences and Relative Advantage: The Case of GSS. Decision Support Systems, Vol.32, No.4, pp. 327-341. Karahanna, E., Straub, D.W., & Chervany, N.L. (1999). Information Technology Adoption across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, Vol. 23, No. 2, pp. 183-213. Kasim, M. Y., Malek, M. A., & Hambali, Z. S. (2011). The Provision of High Speed Broadband (HSBB) in Malaysia in Enhancing Malaysia Access to Internet Application: A Case of Telecom Malaysia. Global Media Journal, Vol. 2, No. 8, pp. 1-14. Katz, R., & Suter, S. (2009). Estimating the Economic Impact of the Broadband Stimulus Plan. Retrieved from www.elinoam.com/raulkatz/Dr_Raul_ Katz_-_BB_Stimulus_Working_Paper.pdf, December 23rd, 2013. Katz, R. (2009). Estimating Broadband Demand and Its Economic Impact in Latin America. The 3rd ACORN-REDECOM Conference. Mexico City. Katz, R.L. (2010). The Impact of Broadband on the Economy: Research to Date and 10th Global Symposium for Regulators ―Enabling Tomorrow‘s Digital World‖ Dakar, Senegal. Retrieved from www.itu.int, February 25th, 2014. Kedah Location (2013). Details of Kedah State. Retrieved from www.impressions.my/kedahmain/ kedahinfo.htm, February, 8th, 2012. Keller, G., & Joseph, L. R. (2009). Managerial Statistics. USA, Eight Edition, South-Western Cengage Learning. Kellerman, A. (2004). Internet Access and Penetration: An International Urban Comparison. Journal of Urban Technology, Vol. 11, pp. 63–85. Kelly, T., Mulas, V., Raja, S., Zhen-Wei Qiang, C., & Williams, M. (2009). What Role Should Governments Play In Broadband Deployment? Retrieved from http://www.oecd.org/dataoecd/40/ 47/43631862.pdf, January 13th, 2012. Ooi, K.B., Jia-Jia, S., King-Tak, W., & Binshan, L. (2011). Exploring Factors Influencing Consumers‘ Behavioural Intention to Adopt Broadband in Malaysia. Computer in Human Behaviour Journal, pp. 1-11. Kenneth, S. B. (2005). Research and Design Methods: A Process Approach. Sixth Edition, New York: McGraw-Hill. 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, Vol. 13, No. 4, pp. 173-180. Khoumbati, K., Dwivedi, Y. K., Lal, B., & Chen, H. (2007). Broadband Adoption in Pakistan. International Journal of Electronic Government, Vol. 4, No 4, pp. 451-465. Kijsanayotin, B., Pannarunothai, S., & Speedie, S.M. (2009). Factors Influencing Health Information Technology Adoption in Thailand's Community Health Centres: Applying the UTAUT Model. International Journal of Medical Informatics, Vol. 78, No. 6, pp. 404-416. Kim, B. (2012). The Diffusion of Mobile Data Services and Applications: Exploring the Role of Habit and Its Antecedents. Telecommunications Policy, Vol. 36, No. 1, pp. 69-81. Kim, C., Mirusmonov, M., & Lee, I. (2010). An Empirical Examination of Factors Influencing the Intention to Use Mobile Payment. Computer in Human Behaviour, Vol. 26, No. 3, pp. 310-322. Kim, G., Shin, B., & Lee, H.G. (2006). A Study of Factors that Affect User Intentions toward Email Service Switching. Information and Management, Koellinger, P. (2006). Impact of ICT on Corporate Performance, Productivity and Employment Dynamics. European Commission, e-Business W@tch, DG Enterprise & Industry. Kolodinsky, J., Hogarth, J., & Hilgert, A. (2004). The Adoption of Electronic Banking by US Consumers. The International Journal of Bank Marketing, Vol. 22, No. 4, pp. 238-259. Komerik, N. (2005). Use of the Internet among Dental Students in Turkey. Journal of Dental Education, Vol. 69, No. 4, pp. 470-475. Koridor Utara (2007). Northern Corridor Economic Region Socio Economic Blueprint 2007-2025. Sime Darby Berhad, p. 10. Kothari, C. R. (2009). Research Methodology: Methods and Techniques. 2nd Edition, New Age International Publisher Limited, Daryaganj, New Delhi. Koziolek, H. (2011). Sustainability Evaluation of Software Architectures: A Systematic Review. QoSA and ISARCS, pp. 1 – 10. Krizanovic, V., Zagar, D., & Grgic, K. (2011). Techno-Economic Analysis of Wireline and Wireless Broadband Access Networks Deployment in Croatian Rural Areas. 11th International Conference on Telecommunication, pp. 265-272. Kruschke, J.K., Aguinis, H., & Joo, H. (2012). The Time Has Come: Bayesian Methods for Data Analysis in the Organisational Sciences. Organisational Research Methods, Vol. 15, pp. 722-752. KTAK (2006). Ministry of Information, Communication and Culture. Retrieved from www.kpkk.gov.my, June 28th, 2012. Kutner, M.H., Nachtsheim, C.J., Neter, J., & Li, W. (2004). Applied Linear Statistical Models. 5th Edition, Boston, McGraw-Hill/Irwin. Lai, J.Y., & Chang, C.Y. (2010). User Attitudes toward Dedicated E-Book Readers for Reading: The Effects of Convenience, Compatibility and Media 35 No. 4, pp. 558-580. Lancaster, G. (2005). Research Methods in Management: A Concise Introduction to Research in Management and Business Consultancy. Oxford: Elsevier Butterworth-Heinemann. Lankton, N.K., & McKnight, H.D. (2012). Examining Two Expectation Disconfirmation Theory Models: Assimilation and Asymmetry Effects. Journal of the Association for Information Systems, Vol. 13, No. 2, pp. 88- 115. Landrum, H., & Prybutok, V.R. (2004). A Service Quality and Success Model for the Information Service Industry. European Journal of Operation Research, Vol. 156, pp. 628-642. LaRose, R., Strover, S., Gregg, J.L., Straubhaar, J. (2011). The Impact of Rural Broadband Development: Lessons from a Natural Field Experiment. Government Information Quarterly, Vol. 28, No. 1, pp. 91-100. Lee, H.S., Kim, T.G., & Choi, J.Y. (2012). A Study on the Factors Affecting Smart Phone Application Acceptance. 3rd International Conference on EEducation, E-Business, E-Management and E-Learning, Vol. 27, pp. 27-33. Lee, K.C., & Chung, N. (2009). Understanding Factors Affecting Trust and Satisfaction with Mobile Banking in Korea: A Modified DeLone and McLean’s Model Perspective. Interacting with Computers. Lenhart, A., Madden, M., & Hitlin, P. (2005). Teens and technology: Youth are Leading the Transition to a Fully Wired and Mobile Nation. Washington, DC: Pew Internet and American Life Project. Retrieved from www.pewinternet.org, September 2nd, 2014. Lenhart, A., Purcell, K., Smith, A., & Zickuhr, K. (2010). Social Medial and Mobile Internet Use among Teens and Young Adults. Pew Internet and American Life Project, Millennials, a Portrait of Generation Next, pp. 1-51. Liaw, S.S., Chang, W.C., Hung, W.H., & Huang, H.M. (2006). Attitude toward Search Engines as a Learning Assisted Tool: Approach of Liaw and Huang‘s Research Model. Computers in Human Behaviour, Vol. 22, No. 2, pp. 177-190. Lin, H.F. (2007). The Role of Online and Offline Features in Sustaining Virtual Communities: An Empirical Study. Internet Research, Vol. 17, No. 2, pp. 119-138. Lin, MYC., & Ong, C.S. (2010). Understanding Information Systems Continuance Intention: A Five-Factor Model of Personality Perspective. Proceedings of PACIS, pp. 367-376. Luan, W.S., Fung, N.S., Nawawi, M., & Hong, T.S. (2005). Experienced and Inexperienced Internet Users among Pre-Service Teachers: Their Use and Attitudes toward the Internet. Educational Technology and Society, Vol. 8, No. 1, pp. 90-103. LaRose, R., Gregg, J., Strover, S., Straubhaar, J., & Carpenter, S. (2007). Closing the Rural Broadband Gap: Promoting Adoption of the Internet in Rural America. Telecommunications Policy, Vol. 31, pp. 359−373. LaRose, R., Gregg, L., Strover, S., Straubhaar, J., & Inagaki, I. (2008). Closing the Rural Broadband Gap. Retrieved from www.msu.edu/~larose/ruralbb/, January 13th, 2014. LaRose, R., Strover, Gregg, J.L., & Straubhaar, J. (2011). The Impact of Rural Broadband Development: Lessons from a Natural Field Experiment. Government Information Quarterly, Vol. 28, pp. 91–100.

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