Asian Journal of Information Technology

Year: 2017
Volume: 16
Issue: 1
Page No. 100 - 124

Examining the Relationship Between Overall Quality, User Satisfaction and Internet Usage: An Integrated Individual, Technological, Organizational and Social Perspective

Authors : Osama Isaac, Zaini Abdullah, T. Ramayah and Ahmed M. Mutahar

References

Agarwal, R., 2000. Individual Acceptance of Information Technologies. In: Framing the Domains of it Management: Projecting the Future...Through the Past, Zmud, R.W. (Ed.). Pinnaflex Educational Resources, Incorporated, Cincinnati, USA., ISBN-13: 9781893673069, pp: 85-104.

Ahmad, T.B.T., K.B. Madarsha, A.M.H. Zainuddin, N.A.H. Ismail and M.S. Nordin, 2010. Faculty's acceptance of computer based technology: Cross-validation of an extended model. Australas. J. Educ. Technol., Vol. 26,

Ahmed, I., M.M. Nawaz, A. Usman, M.Z. Shaukat, N. Ahmed and Wasim-ul-Rehman, 2010. A mediation of customer satisfaction relationship between service quality and repurchase intentions for the telecom sector in Pakistan: A case study of university students. Afr. J. Bus. Manage., 4: 3457-3462.
Direct Link  |  

Aladwani, A.M. and P.C. Palvia, 2002. Developing and validating and instrument for measuring user-perceived Web quality. Inf. Manage., 39: 467-476.
CrossRef  |  

Aladwani, A.M., 1999. Implications of some of the recent improvement philosophies for the management of the information systems organization. Ind. Manage. Data Syst., 99: 33-39.
Direct Link  |  

Alsohybe, N.T., 2007. The implementation of e-government in the republic of yemen: An empirical evaluation of the technical and organizational readiness. Ph.D. Thesis, Capella University, USA.

Anandarajan, M., M. Igbaria and U. Anakwe, 2002. IT acceptance in a less-developed country a motivational factor perspective. Intl. J. Inform. Manage., 22: 47-65.
CrossRef  |  

Aspillera, M., 2013. What Are the potential benefits of online learning?. Worldwide Learning, Seremban, Malaysia. http://www.worldwidelearn.com/education-articles/benefits-of-online-learning.htm

Awang, Z., 2014. Structural Equation Modeling Using AMOS. Universiti Teknologi MARA Publication Center, Shah Alam, Malaysia,.

Baruch, Y. and B.C. Holtom, 2008. Survey response rate levels and trends in organizational research. Hum. Relat., 61: 1139-1160.
Direct Link  |  

Bentler, P.M. and D.G. Bonnett, 1980. Significance tests and goodness-of-fit in theanalyses of covariance structures. Psychol. Bull., 88: 588-606.

Bollen, K.A., 1990. Overall fit in covariance structure models: Two types of sample size effects. Psychol. Bull., 107: 256-259.
Direct Link  |  

Brannick, M.T., 1995. Critical comments on applying covariance structure modeling. J. Organizational Behav., 16: 201-213.
CrossRef  |  Direct Link  |  

Brown, T.A., 2006. Confirmatory Factor Analysis for Applied Research. Guilford Publications, New York, ISBN-13: 978-1593852740, Pages: 475.

Butler, B., 2014. Most powerful internet of things companies. IDG Communications, Inc., Boston, Massachusetts, USA. http://www.networkworld.com/article/2287045/wi-fi/wireless-153629-10-most-powerful-internet-of-things-companies.html

Byrne, B.M., 2010. Structural Equation Modeling with AMOS: Basic Concepts, Applications and Programming. 2nd Edn., Routledge, New York, USA., ISBN-13: 9780805863734, Pages: 396.

Chakraborty, S. and K. Sengupta, 2014. Structural equation modelling of determinants of customer satisfaction of mobile network providers: Case of Kolkata, India. IIMB. Manage. Rev., 26: 234-248.
Direct Link  |  

Chan, F.K.Y., S.A. Brown, P.J. Hu and K.Y. Tam, 2010. Modeling citizen satisfaction with mandatory adoption of an E-Government technology. J. Assoc. Inf. Syst., 11: 519-549.

Chen, C., 2013. Perceived risk, usage frequency of mobile banking services. Managing Serv. Qual. Intl. J., 23: 410-436.
Direct Link  |  

Chen, C.C., 2008. Study on application of E-commerce and organizational performance in Taiwanese professional sports event promotion organizations. J. Hum. Resour. Adult Learn., 4: 66-73.
Direct Link  |  

Chen, S.C., D.C. Yen and M.I. Hwang, 2012. Factors influencing the continuance intention to the usage of Web 2.0: An empirical study. Comput. Hum. Behav., 28: 933-941.
Direct Link  |  

Cheng, D., G. Liu, C. Qian and Y.F. Song, 2008. Customer acceptance of Internet banking: Integrating trust and quality with UTAUT Model. Proceedings of the IEEE International Conference on Service Operations and Logistics and Informatics, IEEE/SOLI 2008, Vol. 1, October 12-15, 2008, IEEE, New York, USA., ISBN:978-1-4244-2012-4, pp: 383-388.

Cheng, T.C.E., D.Y.C. Lam and A.C.L. Yeung, 2006. Adoption of internet banking: An empirical study in Hong Kong. Decis. Support Syst., 42: 1558-1572.
CrossRef  |  

Cheng, Y.M., 2011. Antecedents and consequences of E‐learning acceptance. Inf. Syst. J., 21: 269-299.
CrossRef  |  Direct Link  |  

Cheung, R. and D. Vogel, 2013. Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Comput. Educ., 63: 160-175.
CrossRef  |  Direct Link  |  

Cheung, W., M.K. Chang and V.S. Lai, 2000. Prediction of internet and world wide web usage at work: A test of an extended Triandis model. Decision Support Syst., 30: 83-100.
CrossRef  |  Direct Link  |  

Chi, N.T.M., 2013. Factors Affecting Customer Satisfaction in Group Buying in Vietnam. University of Economics, Ho Chi Minh, Vietnam,.

Chien, S.W. and S.M. Tsaur, 2007. Investigating the success of ERP systems: Case studies in three Taiwanese high-tech industries. Comput. Ind., 58: 783-793.
CrossRef  |  Direct Link  |  

Chin, W.W., 1998. Commentary: Issues and opinion on structural equation modeling. MIS Q., 22: 7-16.
Direct Link  |  

Cho, K.W., S.K. Bae, J.H. Ryu, K.N. Kim and C.H. An et al., 2015. Performance evaluation of public hospital information systems by the information system success model. Healthcare Inf. Res., 21: 43-48.
Direct Link  |  

Cohen, J., 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd Edn., Lawrence Erlbaum, Hillsdale, New Jersey, USA., ISBN: 0-8058-6283-5, Pages: 128.

Costello, A.B. and J.W. Osborne, 2005. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pract. Assess. Res. Eval., 10: 1-9.
CrossRef  |  Direct Link  |  

Davis, F.D., 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart., 13: 319-340.
CrossRef  |  Direct Link  |  

DeLone, W.D. and E.R. McLean, 2003. The DeLone and McLean model of information systems success: A ten-year update. J. Manage. Inf. Syst., 19: 9-30.
CrossRef  |  Direct Link  |  

DeLone, W.H. and E.R. McLean, 1992. Information systems success: The quest for the dependent variable. Inform. Syst. Res., 3: 60-95.
CrossRef  |  Direct Link  |  

Fadare, O.G., V.A. Aladeselu, G. Ekuobase, O.S. Aboderin and J.G. Kumuyi, 2013. Adoption of mobile learning among 3G-enabled handheld users using extended technology acceptance model. World J. Educ. Technol., 5: 420-430.

Fagan, M.H., S. Neill and B.R. Wooldridge, 2004. An empirical investigation into the relationship between computer self-efficacy, anxiety, experience, support and usage. J. Comput. Inf. Syst., 44: 95-104.
Direct Link  |  

Falk, R.F. and N.B. Miller, 1992. A Primer for Soft Modeling. The University of Akron Press, Akron, Ohio, ISBN-13: 9780962262845, Pages: 103.

Fan, J.C. and K. Fang, 2006. ERP implementation and information systems success: A test of DeLone and McLean's model. Proceedings of the Conference on Technology Management for the Global Future, PICMET 2006, Vol. 3, July 8-13, 2006, IEEE, New York, USA., ISBN:1-890843-14-8, pp: 1272-1278.

Field, A., 2013. Discovering Statistics Using IBM SPSS Statistics. 4th Edn., SAGE Publications, New York, USA.,.

Flack, C.K., 2016. IS success model for evaluating cloud computing for small business benefit: A quantitative study. Master Thesis, Coles College of Business, Kennesaw State University, Kennesaw, Georgia. http://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=1020&context=dba_etd.

Fornell, C. and D.F. Larcker, 1981. Evaluating structural equation models with unobservable variables and measurement error. J. Market. Res., 18: 39-50.
CrossRef  |  Direct Link  |  

Fox, S. and M. Duggan, 2013. Health Online 2013. Pew Research Center, Washington, DC., US. http://www.pewinternet.org/2013/01/15/health-online-2013/.

Gefen, D. and E.E. Rigdon, 2011. An update and extension to SEM guidelines for administrative and social science research. MIS. Q., 35: 1-7.

Gefen, D., D.W. Straub and M.C. Boudreau, 2000. Structural equation modeling and regression: Guidelines for research practice. Commun. Assoc. Inform. Syst., 4: 1-77.
Direct Link  |  

Ghosh, B., 2016. Exploratory study of effects of E-learning system acceptance on learning outcomes. J. Inf. Syst. Appl. Res., 9: 13-23.
Direct Link  |  

Gonzalez, G.C., P.N. Sharma and D. Galletta, 2012. Factors influencing the planned adoption of continuous monitoring technology. J. Inf. Syst., 26: 53-69.
Direct Link  |  

Goodhue, D.L. and R.L. Thompson, 1995. Task-technology fit and individual performance. MIS Q., 19: 213-236.
CrossRef  |  Direct Link  |  

Green, J.P., S. Tonidandel and J.M. Cortina, 2016. Getting through the gate: Statistical and methodological issues raised in the reviewing process. Organizational Res. Methods, 19: 402-432.
Direct Link  |  

Gu, J.C., S.C. Lee and Y.H. Suh, 2009. Determinants of behavioral intention to mobile banking. Exp. Syst. Appl., 36: 11605-11616.
CrossRef  |  

Hair, J.F., C.M. Ringle and M. Sarstedt, 2011. PLS-SEM: Indeed a silver bullet. J. Market. Theory Pract., 19: 139-152.
CrossRef  |  Direct Link  |  

Hair, J.F., G.T.M. Hult, C.M. Ringle and M. Sarstedt, 2013. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publication, Thousand Oaks, California, USA., ISBN-13: 978-1452217444, Pages: 328.

Hair, Jr., J.F., W.C. Black, B.J. Babin and R.E. Anderson, 2010. Multivariate Data Analysis. 7th Edn., Prentice Hall, Upper Saddle River, NJ., ISBN-13: 9780138132637, Pages: 785.

Henseler, J., C.M. Ringle and R.R. Sinkovics, 2009. The use of partial least squares path modeling in international marketing. Adv. Int. Market., 20: 277-319.
CrossRef  |  Direct Link  |  

Ho, R., 2006. Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS. CRC Press, Boca Raton, ISBN: 9781584886020, Pages: 424.

Hou, C.K., 2012. Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry. Intl. J. Inf. Manage., 32: 560-573.
Direct Link  |  

Hsu, C.L. and J.C.C. Lin, 2015. What drives purchase intention for paid mobile apps?: An expectation confirmation model with perceived value. Electron. Commerce Res. Appl., 14: 46-57.
Direct Link  |  

Hsu, M. and C. Chiu, 2004. Internet self-efficacy and electronic service acceptance. Decision Support Syst., 38: 369-381.
CrossRef  |  

Huang, E., 2008. Use and gratification in E-consumers. Internet Res., 18: 405-426.
Direct Link  |  

Hurley, A.E., T.A. Scandura, C.A. Schriesheim, M.T. Brannick and A. Seers et al., 1997. Exploratory and confirmatory factor analysis: Guidelines, issues and alternatives. J. Organizational Behav., 18: 667-683.
Direct Link  |  

Hutcheson, G.D. and N. Sofroniou, 1999. The Multivariate Social Scientist: Introductory Statistic Using Generalized Linear Models. Sage Publication, London, ISBN: 9780761952015, Pages: 276.

Hypponen, M., 2013. How the NSA betrayed the world’s trust-time to act. TED, New York, USA. https://www.ted.com/talks/mikko_hypponen_how_the_nsa_betrayed_the_world_s_trust_time_to_act.

ILS., 2016. Internet users in the world. Internet Live Stats, New York, USA. http://www.internetlivestats.com/internet-users/.

IWS., 2016. Internet technology usage as percentage of population (Yemen vs. Arab Countries). Internet World Stats, Algiers, Algeria. http://www.internetworldstats.com/stats5.htm.

Ifinedo, P., 2012. Technology acceptance by health professionals in Canada: An analysis with a modified UTAUT model. Proceedings of the 2012 45th Hawaii International Conference on System Science (HICSS), January 4-7, 2012, IEEE, New York, USA., ISBN:978-1-4577-1925-7, pp: 2937-2946.

Ilias, A. and M.Z.A. Razak, 2011. A validation of the End-User Computing Satisfaction (EUCS) towards Computerised Accounting System (CAS). Global Bus. Manage. Res. Intl. J., 3: 119-135.

Irick, M.L., 2008. Task-technology fit and information systems effectiveness. J. Knowl. Manage. Pract., 9: 1-5.
Direct Link  |  

Iyanda, O., 2016. Innovation Diffusion of Smartphone in Nigeria. Walden University, Minneapolis, Minnesota,.

James, L.R., S.A. Muliak and J.M. Brett, 1982. Causal Analysis: Models, Assumptions and Data. Sage, Beverly Hills, California,.

Joreskog, K.G. and D. Sorbom, 1993. LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language. Scientific Software International, Chicago, Illinois, ISBN: 9780894980336, Pages: 276.

Kafetzopoulos, D., K. Gotzamani and V. Gkana, 2015. Relationship between quality management, innovation and competitiveness: Evidence from Greek companies. J. Manuf. Technol. Manage., 26: 1177-1200.
Direct Link  |  

Kaiser, H.F., 1974. An index of factorial simplicity. Psychometrika, 39: 31-36.
CrossRef  |  Direct Link  |  

Kang, A., L. Barolli, J.D. Lee, J.H. Park and H.Y. Jeong, 2013. Information success model for learning system in cloud computing environment. Proceedings of the 2013 International Joint Conference on Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), November 2-4, 2013, IEEE, Seoul, South Korea, ISBN: 978-1-4799-2364-9, pp: 764-768.

Kannan, V.R. and K.C. Tan, 2005. Just in time, total quality management and supply chain management: Understanding their linkages and impact on business performance. Omega, 33: 153-162.
CrossRef  |  Direct Link  |  

Kassim, N., T. Ramayah and S. Kurnia, 2012. Antecedents and outcomes of human resource information system (HRIS) use. Int. J. Product. Perform. Manage., 61: 603-623.
Direct Link  |  

Khechine, H., S. Lakhal, D. Pascot and A. Bytha, 2014. UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdiscip. J. E. Learn. Learn. Objects, 10: 33-52.
Direct Link  |  

Kim, B.G., S.C. Park and K.J. Lee, 2008. A structural equation modeling of the internet acceptance in Korea. Electron. Commerce Res. Appl., 6: 425-432.
Direct Link  |  

Kline, R.B., 2010. Principle and Practice of Structural Equation Modeling. 3rd Edn., Guilford Press, New York, ISBN: 9781606238776, Pages: 427.

Koh, C.E., V.R. Prybutok, S.D. Ryan and Y. Wu, 2010. A model for mandatory use of software technologies: An integrative approach by applying multiple levels of abstraction of informing science. Informing Sci. Intl. J. Emerging Transdiscipline, 13: 177-203.
Direct Link  |  

Krejcie, R.V. and D.W. Morgan, 1970. Determining sample size for research activities. Educ. Psychol. Meas., 30: 607-610.
CrossRef  |  Direct Link  |  

Kurniawan, B., 2010. Factors affecting customer satisfaction in purchase decision on ticket online: A case study in air Asia. Master Thesis, State Islamic University Syarif Hidayatullah, South Tangerang, Indonesia.

Lai, M., 2008. Technology readiness, internet self-efficacy and computing experience of professional accounting students. Campus-Wide Inf. Syst., 25: 18-29.
Direct Link  |  

Lederer, A.L., D.J. Maupin, M.P. Sena and Y. Zhuang, 2000. The technology acceptance model and the world wide web. Dec. Support Syst., 29: 269-282.
CrossRef  |  Direct Link  |  

Lee, K.C., S. Lee and J.S. Kim, 2005. Analysis of mobile commerce performance by using the task-technology fit. Proceedings of the IFIP TC8 Working Conference on Mobile Information Systems, September 15-17, 2004, Springer, Oslo, Norway, pp: 135-153.

Lee, S. and B.G. Kim, 2009. Factors affecting the usage of intranet: A confirmatory study. Comput. Hum. Behav., 25: 191-201.
CrossRef  |  Direct Link  |  

Lee, Y.H., Y.C. Hsieh and C.Y. Ma, 2011. A model of organizational employees’E-learning systems acceptance. Knowl. Based Syst., 24: 355-366.

Lian, J.W., 2015. Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study. Int. J. Inf. Manage., 35: 98-109.
Direct Link  |  

Lin, F., S.S. Fofanah and D. Liang, 2011. Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Govt. Inform. Q., 28: 271-279.
Direct Link  |  

Lin, T.C. and C.C. Huang, 2009. Understanding the determinants of EKR usage from social, technological and personal perspectives. J. Inf. Sci., 35: 165-179.
Direct Link  |  

Lin, W.S. and C.H. Wang, 2012. Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Comput. Edu., 58: 88-99.
CrossRef  |  

Liu, G., Y.F. Song and C. Qian, 2008. User acceptance of internet banking: An empirical study in China. Proceedings of the 4th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM'08, October 12-14, 2008, IEEE, New York, USA., ISBN:978-1-4244-2107-7, pp: 1-4.

Liu, Y., H. Li and C. Carlsson, 2010. Factors driving the adoption of m-learning: An empirical study. Comput. Educ., 55: 1211-1219.
CrossRef  |  Direct Link  |  

Lu, H.P. and Y.W. Yang, 2014. Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fit. Comput. Hum. Behav., 34: 323-332.

Lu, J., J.E. Yao and C.S. Yu, 2005. Personal innovativeness, social influences and adoption of wireless internet services via mobile technology. J. Strategic Inf. Syst., 14: 245-268.
CrossRef  |  

Lwoga, T.E., 2013. Measuring the success of library 2.0 technologies in the African context: The suitability of the DeLone and McLean's model. Campus Wide Inf. Syst., 30: 288-307.
Direct Link  |  

MacKenzie, S.B., P.M. Podsakoff and N.P. Podsakoff, 2011. Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Q., 35: 293-334.
Direct Link  |  

Makokha, M.W. and D.O. Ochieng, 2014. Assessing the success of ICT’s from a user perspective: Case study of coffee research foundation, Kenya. J. Manage. Strategy, 5: 46-54.
Direct Link  |  

Mancini, P., 2014. How to upgrade democracy for the internet era. TED, New York, USA. https://www.ted.com/talks/pia_mancini_how_to_upgrade_democracy_for_the_internet_era?language=en.

McFarland, D.J. and D. Hamilton, 2006. Adding contextual specificity to the technology acceptance model. Comput. Hum. Behav., 22: 427-447.
Direct Link  |  

McGill, T.J. and J.E. Klobas, 2009. A task-technology fit view of learning management system impact. Comput. Educ., 52: 496-508.
Direct Link  |  

Mohammadi, H., 2015. Investigating users’ perspectives on E-learning: An integration of TAM and IS success model. Comput. Hum. Behav., 45: 359-374.
Direct Link  |  

Montesdioca, G.P.Z. and A.C.G. Macada, 2015. Measuring user satisfaction with information security practices. Comput. Secur., 48: 267-280.
Direct Link  |  

Negroponte, N., 2014. A 30-year history of the future. TED, South Dakota, USA. https://www.ted.com/talks/nicholas_negroponte_a_30_year_history_of_the_future.

Nguyen, P.C., 2010. Author guidelines for reporting scale development and validation results in the journal of the society for social work and research. J. Soc. Social Work Res., 1: 99-103.
Direct Link  |  

Nikhashemi, S.R., L. Paim, F. Yasmin and A. Yousefi, 2013. Critical factors in determining customer satisfaction toward internet shopping in Malaysia. Intl. J. Bus. Manage. Invention, 2: 44-51.

Nistor, N., T. Lerche, A. Weinberger, C. Ceobanu and O. Heymann, 2014. Towards the integration of culture into the unified theory of acceptance and use of technology. Br. J. Educ. Technol., 45: 36-55.
CrossRef  |  Direct Link  |  

Norzaidi, D.M., C.S. Choy, R. Murali and S.M. Intan, 2007. Intranet usage and managers' performance in the port industry. Ind. Manage. Data Syst., 107: 1227-1250.
Direct Link  |  

Norzaidi, M.D. and M.I. Salwani, 2009. Evaluating technology resistance and technology satisfaction on student's performance. Campus-Wide Inf. Syst., 26: 298-312.
CrossRef  |  Direct Link  |  

Norzaidi, M.D., S.C. Chong, R. Murali and M.I. Salwani, 2009. Towards a holistic model in investigating the effects of intranet usage on managerial performance: A study on Malaysian port industry. Maritime Policy Manage., 36: 269-289.
CrossRef  |  Direct Link  |  

Nunnally, J.C. and I.H. Bernstein, 1994. Psychometric Theory. 3rd Edn., McGraw-Hill, New York, USA., ISBN-13: 978-0070478497, Pages: 736.

Ogara, S.O., C.E. Koh and V.R. Prybutok, 2014. Investigating factors affecting social presence and user satisfaction with mobile instant messaging. Comput. Hum. Behav., 36: 453-459.
Direct Link  |  

Oyedemi, T.D., 2012. Digital inequalities and implications for social inequalities: A study of internet penetration amongst university students in South Africa. Telematics Inf., 29: 302-313.
Direct Link  |  

PRC., 2013. Nations embrace internet & mobile technology. Pew Research Center, Washington, DC., USA. http://www.pewglobal.org/2014/02/13/emerging-nations-embrace-internet-mobile-technology/.

Pai, F.Y. and K.I. Huang, 2011. Applying the technology acceptance model to the introduction of healthcare information systems. Technol. Forecast. Social Change, 78: 650-660.
CrossRef  |  Direct Link  |  

Petter, S. and E.R. McLean, 2009. A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Inform. Manage., 46: 159-166.
CrossRef  |  Direct Link  |  

Podsakoff, P.M. and D.W. Organ, 1986. Self-reports in organizational research: Problems and prospects. J. Manage., 12: 531-544.
CrossRef  |  Direct Link  |  

Preacher, K.J. and A.F. Hayes, 2004. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav. Res. Meth. Instrum. Comput., 36: 717-731.
CrossRef  |  Direct Link  |  

Preacher, K.J. and A.F. Hayes, 2008. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Methods, 40: 879-891.
CrossRef  |  Direct Link  |  

Rainie, L., K. Purcell and A. Smith, 2011. The Social Side of the internet. Master Thesis, Pew Research Center, Washington, DC., USA.

Ramayah, T. and M.C. Lo, 2007. Impact of shared beliefs on perceived usefulness and ease of use in the implementation of an enterprise resource planning system. Manage. Res. News, 30: 420-431.
CrossRef  |  Direct Link  |  

Ramayah, T. and N.M. Suki, 2006. Intention to use mobile PC among MBA students: Implications for technology integration in the learning curriculum. Unitar E. J., 1: 30-39.

Ramayah, T., 2006. Course website usage does prior experience matter?. Wseas Trans. Inf. Sci. Appl., 3: 299-306.
Direct Link  |  

Ramayah, T., J. Ignatius and B. Aafaqi, 2005. PC usage among students in a private institution of higher learning: The moderating role of prior experience. Educators Educ. J., 20: 131-152.
Direct Link  |  

Revels, J., D. Tojib and Y. Tsarenko, 2010. Understanding consumer intention to use mobile services. Aust. Marketing J., 18: 74-80.
CrossRef  |  

Roca, J.C., C.M. Chiu and F.J. Martinez, 2006. Understanding e-learning continuance intention: An extension of the technology acceptance model. Int. J. Hum. Comput. Stud., 64: 683-696.
CrossRef  |  Direct Link  |  

Sahadev, S. and K. Purani, 2008. Modelling the consequences of e-service quality. Market. Intell. Plann., 26: 605-620.
CrossRef  |  Direct Link  |  

Shih, Y.Y. and C.Y. Chen, 2013. The study of behavioral intention for mobile commerce: Via integrated model of TAM and TTF. Qual. Quantity, 47: 1009-1020.
CrossRef  |  

Shih, Y.Y. and K. Fang, 2004. The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Int. Res., 14: 213-223.
CrossRef  |  

Son, H., Y. Park, C. Kim and J.S. Chou, 2012. Toward an understanding of construction professional's acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model. Autom. Constr., 28: 82-90.
CrossRef  |  Direct Link  |  

Steiger, J.H., 1990. Structural model evaluation and modification: An interval estimation approach. Multivar. Behav. Res., 25: 173-180.
CrossRef  |  Direct Link  |  

Stone-Romero, E.F., A.E. Weaver and J.L. Glenar, 1995. Trends in research design and data analytic strategies in organizational research. J. Manage., 21: 141-157.
Direct Link  |  

Sun, P.C, R.J. Tsai, G. Finger, Y.Y. Chen and D. Yeh, 2008. What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction. Comput. Educ., 50: 1183-1202.
CrossRef  |  Direct Link  |  

Sun, Y. and S. Mouakket, 2015. Assessing the impact of enterprise systems technological characteristics on user continuance behavior: An empirical study in China. Comput. Ind., 70: 153-167.
Direct Link  |  

Tabachnick, B.G. and L.S. Fidell, 2012. Using Multivariate Statistics. 6th Edn., Pearson Education, Boston, MA., ISBN-13: 9780205849574, Pages: 983.

Torkzadeh, G. and T.P.V. Dyke, 2001. Development and validation of an Internet self-efficacy scale. Behav. Inf. Technol., 20: 275-280.
Direct Link  |  

Torkzadeh, G., J.C.J. Chang and D. Demirhan, 2006. A contingency model of computer and Internet self-efficacy. Inf. Manage., 43: 541-550.
Direct Link  |  

Tucker, L.R. and C. Lewis, 1973. A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38: 1-10.
CrossRef  |  

Urbach, N. and F. Ahlemann, 2010. Structural equation modeling in information systems research using partial least squares. J. Inf. Technol. Theory Applic., 11: 5-40.
Direct Link  |  

Venkatesh, V. and M.G. Morris, 2000. Why don't men ever stop to ask for directions? Gender, social influence and their role in technology acceptance and usage behavior. MIS Quart., 24: 115-139.
CrossRef  |  Direct Link  |  

Venkatesh, V., 2000. Determinants of perceived ease of use: Integrating control, intrinsic motivation and emotion into the technology acceptance model. Inform. Syst. Res., 11: 342-365.
CrossRef  |  Direct Link  |  

Venkatesh, V., J.Y. Thong and X. Xu, 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS. Q., 36: 157-178.
Direct Link  |  

Venkatesh, V., J.Y. Thong, F.K. Chan, P.J.H. Hu and S.A. Brown, 2011. Extending the two‐stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Inf. Syst. J., 21: 527-555.
CrossRef  |  Direct Link  |  

Venkatesh, V., M.G. Morris, G.B. Davis and F.D. Davis, 2003. User acceptance of information technology: Toward a unified view. MIS Quart., 27: 425-478.
CrossRef  |  Direct Link  |  

Wang, J.L. and F. Hau, 2003. Research on the relationship between the internet usages and the organizational performance in the Taiwanese E-commerce business organizations. Informing Sci., 1: 17-25.
Direct Link  |  

Wang, W.T. and Y.J. Lai, 2014. Examining the adoption of KMS in organizations from an integrated perspective of technology, individual and organization. Comput. Hum. Behav., 38: 55-67.
Direct Link  |  

Wang, Y.S. and Y.W. Liao, 2008. Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Govt. Inform. Quart., 25: 717-733.
CrossRef  |  Direct Link  |  

Wang, Y.S., 2008. Assessing E-commerce systems success: A respecification and validation of the DeLone and McLean model of IS success. Inf. Syst. J., 18: 529-557.
CrossRef  |  

Wixom, B.H. and P.A. Todd, 2005. A theoretical integration of user satisfaction and technology acceptance. Inform. Syst. Res., 16: 85-102.
CrossRef  |  Direct Link  |  

Worthington, R.L. and T.A. Whittaker, 2006. Scale development research: A content analysis and recommendations for best practices. Counsel. Psychol., 34: 806-838.
CrossRef  |  Direct Link  |  

Wu, J.H. and Y.M. Wang, 2006. Measuring KMS success: A respecification of the DeLone and McLean's model. Inform. Manage., 43: 728-739.
CrossRef  |  Direct Link  |  

Xinli, H., 2015. Effectiveness of information technology in reducing corruption in China: A validation of the DeLone and McLean information systems success model. Electron. Lib., 33: 52-64.
Direct Link  |  

Yalcinkaya, R., 2007. Police officers’ adoption of information technology: A case study of the Turkish POLNET system. Ph.D Thesis, Univesity of North Texas, Denton, Texas.

Yu, C.S., 2012. Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. J. Electron. Commerce Res., 13: 104-121.
Direct Link  |  

Zhao, L., Y. Lu, B. Wang and W. Huang, 2011. What makes them happy and curious online? An empirical study on high school students’ Internet use from a self determination theory perspective. Comput. Educ., 56: 346-356.
Direct Link  |  

Zhou, T., 2011. An empirical examination of initial trust in mobile banking. Internet Res., 21: 527-540.
CrossRef  |  Direct Link  |  

Zhou, T., 2013. Understanding continuance usage of mobile services. Intl. J. Mob. Commun., 11: 56-70.
CrossRef  |  Direct Link  |  

Zhu, D.S., R.Z.C. Lee, M.J. Kuo and T.S. Lin, 2013. A study on the continuous using intention of traveling website. Proceedings of the 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS), June 16-20, 2013, IEEE, New York, USA., ISBN:978-1-4799-0174-6, pp: 255-261.

Zikmund, W.G., B.J. Babin, J.C. Carr and M. Griffin, 2010. Business Research Methods. 8th Edn., South-Western Cengage Learning, Canada.

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