Computer Self-Efficacy and e-Government Service Adoption: The Moderating Role of Age as a Demographic Factor

References

• Abdelghaffar, H., & Magdy, Y. (2012). The adoption of mobile government services in developing countries: The case of Egypt. International Journal of Information, 2(4), 333–341.
   Google Scholar
• AbuShanab, E., Pearson, J. M., & Setterstrom, A. J. (2010). Internet banking and customers’ acceptance in Jordan: The unified model’s perspective. Communications of the Association for Information Systems, 26(1), 23.
   Google Scholar
• Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53, 189–203. doi:10.1016/j.chb.2015.06.025
   Web of Science ®Google Scholar
• Al-Jamal, N. Q., & Abu-Shanab, E. A. (2015). E-Government adoption in Jordan: The influence of age. Paper presented at the ICIT 2015 the 7th International Conference on Information Technology, Amman, Jordan.
   Google Scholar
• Alomari, M., Woods, P., & Sandhu, K. (2012). Predictors for e-government adoption in Jordan: Deployment of an empirical evaluation based on a citizen-centric approach. Information Technology & People, 25(2), 207–234. doi:10.1108/09593841211232712
   Web of Science ®Google Scholar
• Alomari, M. K. (2014). Discovering citizens reaction toward e-government: Factors in e-government adoption. JISTEM-Journal of Information Systems and Technology Management, 11(1), 5–20.
   Google Scholar
• Bandura, A. (1986). Social foundations of thought andaction. New York, NY: Pretice–Hall.
   Google Scholar
• Barbeite, F. G., & Weiss, E. M. (2004). Computer self-efficacy and anxiety scales for an Internet sample: Testing measurement equivalence of existing measures and development of new scales. Computers in Human Behavior, 20(1), 1–15. doi:10.1016/S0747-5632(03)00049-9
   Web of Science ®Google Scholar
• Bhatnagar, S. (2000). Social implications of information and communication technology in developing countries: Lessons from Asian success stories. The Electronic Journal of Information Systems in Developing Countries, 1(4), 1–9.
   Google Scholar
• Blagoeva, K. T., & Mijoska, M. (2016). Adoption of electronic public services: The case of the Republic of Macedonia. Paper presented at the An Enterprise Odyssey. International Conference Proceedings, Zagreb, Croatia (Hrvatska).
   Google Scholar
• Caldow, J. (2001). Seven E-Government Leadership Milestones [en línea]. Institute for Elec-tronic Government e IBM Corporation.
   Google Scholar
• Chan, F. T., & Yee-Loong Chong, A. (2013). Analysis of the determinants of consumers’m-commerce usage activities. Online Information Review, 37(3), 443–461. doi:10.1108/OIR-01-2012-0012
   Web of Science ®Google Scholar
• Chatfield, A. T., & Alhujran, O. (2009). A cross-country comparative analysis of e-government service delivery among Arab countries. Information Technology for Development, 15(3), 151–170. doi:10.1002/itdj.20124
   Web of Science ®Google Scholar
• Chen, J. V., Jubilado, R. J. M., Capistrano, E. P. S., & Yen, D. C. (2015). Factors affecting online tax filing–An application of the IS success model and trust theory. Computers in Human Behavior, 43, 251–262. doi:10.1016/j.chb.2014.11.017
   Web of Science ®Google Scholar
• Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160–175. doi:10.1016/j.compedu.2012.12.003
   Web of Science ®Google Scholar
• Choudrie, J., & Dwivedi, Y. K. (2005). The demographics of broadband residential consumers in a British local community: The London Borough of Hillingdon. Journal of Computer Information Systems, 45(4), 93–101.
   Web of Science ®Google Scholar
• Ciborra, C., & Navarra, D. D. (2005). Good governance, development theory, and aid policy: Risks and challenges of e-government in Jordan. Information Technology for Development, 11(2), 141–159. doi:10.1002/itdj.20008
   Google Scholar
• Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 145–158. doi:10.2307/249749
   Web of Science ®Google Scholar
• Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 189–211. doi:10.2307/249688
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. In MIS quarterly (pp. 319–340). New York, NY: JSTOR.
   Google Scholar
• Dawes, S. S. (2002). The future of e-government. Center for Technology in Government, University at Albany.
   Google Scholar
• Drucker, P. (2001). Electronic governance in context. Electronic Governance and Electronic Democracy: Living and Working in the Connected World: Commonwealth Centre for Electronic Governance.
   Google Scholar
• Fan, Y.-W., & Farn, C.-K. (2007). Investigating factors affecting the adoption of electronic toll collection: A transaction cost economics perspective. Paper presented at the System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on, Big Island, Hawaii.
   Google Scholar
• Ferguson, M. (2004). Local e-government in the United Kingdom. Local Electronic Government, 5, 136.
   Google Scholar
• Finch, J. (1986). Age. burgess. Key variables in social investigation. London: RKP.
   Google Scholar
• Fu, J.-R., Farn, C.-K., & Chao, W.-P. (2006). Acceptance of electronic tax filing: A study of taxpayer intentions. Information & Management, 43(1), 109–126. doi:10.1016/j.im.2005.04.001
   Web of Science ®Google Scholar
• Gefen, D. (2002). Customer loyalty in e-commerce. Journal of the Association for Information Systems, 3(1), 2.
   Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
   Web of Science ®Google Scholar
• Gil-García, J. R., & Pardo, T. A. (2005). E-government success factors: Mapping practical tools to theoretical foundations. Government Information Quarterly, 22(2), 187–216. doi:10.1016/j.giq.2005.02.001
   Web of Science ®Google Scholar
• Gouscos, D., Kalikakis, M., Legal, M., & Papadopoulou, S. (2007). A general model of performance and quality for one-stop e-government service offerings. Government Information Quarterly, 24(4), 860–885. doi:10.1016/j.giq.2006.07.016
   Web of Science ®Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
   Google Scholar
• Heeks, R. (1999). Reinventing government in the information age: International practice in IT-enabled public sector reform (Vol. 1). Psychology Press.
   Google Scholar
• Heeks, R. (2002). Information systems and developing countries: Failure, success, and local improvisations. The Information Society, 18(2), 101–112. doi:10.1080/01972240290075039
   Web of Science ®Google Scholar
• Hung, S.-Y., Chang, C.-M., & Kuo, S.-R. (2013). User acceptance of mobile e-government services: An empirical study. Government Information Quarterly, 30(1), 33–44. doi:10.1016/j.giq.2012.07.008
   Web of Science ®Google Scholar
• Ibrahim, O. A., & Zakaria, N. H. (2016). E-government services in developing countries: A Success adoption model from employees perspective. Journal of Theoretical and Applied Information Technology, 94(2), 383.
   Google Scholar
• King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755. doi:10.1016/j.im.2006.05.003
   Web of Science ®Google Scholar
• Kumar, R., & Best, M. L. (2006). Impact and sustainability of e-government services in developing countries: Lessons learned from Tamil Nadu, India. The Information Society, 22(1), 1–12. doi:10.1080/01972240500388149
   Web of Science ®Google Scholar
• Lamsal, E. (2014). What is e-Government? Some of the Official Definitions of E-Government: UN, EU, OECD & The World Bank. Retrieved from https://ekendraonline.com/egovernance/egovernment-official-definitions/
   Google Scholar
• Lin, F., Fofanah, S. S., & Liang, D. (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly, 28(2), 271–279. doi:10.1016/j.giq.2010.09.004
   Web of Science ®Google Scholar
• Liu, Y., Li, H., Kostakos, V., Goncalves, J., Hosio, S., & Hu, F. (2014). An empirical investigation of mobile government adoption in rural China: A case study in Zhejiang province. Government Information Quarterly, 31(3), 432–442. doi:10.1016/j.giq.2014.02.008
   Web of Science ®Google Scholar
• Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126–163. doi:10.1287/isre.9.2.126
   Web of Science ®Google Scholar
• Meijer, A. J. (2011). Networked coproduction of public services in virtual communities: From a government‐centric to a community approach to public service support. Public Administration Review, 71(4), 598–607. doi:10.1111/puar.2011.71.issue-4
   Web of Science ®Google Scholar
• Metaxiotis, K., & Psarras, J. (2004). E-government: New concept, big challenge, success stories. Electronic Government, an International Journal, 1(2), 141–151. doi:10.1504/EG.2004.005174
   Google Scholar
• Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45, 359–374. doi:10.1016/j.chb.2014.07.044
   Web of Science ®Google Scholar
• Panagiotopoulos, P., Al-Debei, M. M., Fitzgerald, G., & Elliman, T. (2012). A business model perspective for ICTs in public engagement. Government Information Quarterly, 29(2), 192–202. doi:10.1016/j.giq.2011.09.011
   Web of Science ®Google Scholar
• Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115–143.
   Web of Science ®Google Scholar
• Pearson, J. M., Bahmanziari, T., Crosby, L., & Conrad, E. (2003). An empirical investigation into the relationship between organizational culture and computer efficacy as moderated by age and gender. Journal of Computer Information Systems, 43(2), 58–70.
   Web of Science ®Google Scholar
• Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. doi:10.1016/j.jbusres.2006.06.003
   Web of Science ®Google Scholar
• Rabaa’i, A. A. (2015). An empirical investigation on the adoption of e-government in developing countries: The case of Jordan. Computer and Information Science, 8(3), 83.
   Google Scholar
• Redsell, M., & Nycyk, M. (2010). Skilling seniors in computers: Community training responses to the digital divide. Working with Older People, 14(2), 38–42. doi:10.5042/wwop.2010.0266
   Google Scholar
• Rogers, E. (1995). Diffusion of innovations. New York: Free Press.
   Google Scholar
• Rokhman, A. (2011). e-Government adoption in developing countries; the case of Indonesia. Journal of Emerging Trends in Computing and Information Sciences, 2(5), 228–236.
   Google Scholar
• Sharma, G., Shakya, S., & Kharel, P. (2014). Technology acceptance perspectives on user satisfaction and trust of e-government adoption. Journal of Applied Sciences, 14, 860–872. doi:10.3923/jas.2014.860.872
   Google Scholar
• Suki, N. M., & Ramayah, T. (2010). User acceptance of the e-government services in Malaysia: Structural equation modelling approach. Interdisciplinary Journal of Information, Knowledge, and Management, 5(1), 395–413. doi:10.28945/1308
   Google Scholar
• Susanto, T. D., & Goodwin, R. (2013). User acceptance of SMS-based e-government services: Differences between adopters and non-adopters. Government Information Quarterly, 30(4), 486–497. doi:10.1016/j.giq.2013.05.010
   Web of Science ®Google Scholar
• Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. doi:10.1287/isre.6.2.144
   Web of Science ®Google Scholar
• Timothy, T. (2009). Examining the relationship between student teachers’ self-efficacy beliefs and their intended uses of technology for teaching: A structural equation modelling approach. TOJET: The Turkish Online Journal of Educational Technology, 8, 4.
   Google Scholar
• Torres, L., Pina, V., & Acerete, B. (2005). E-government developments on delivering public services among EU cities. Government Information Quarterly, 22(2), 217–238. doi:10.1016/j.giq.2005.02.004
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481. doi:10.1111/deci.1996.27.issue-3
   Web of Science ®Google Scholar
• Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 115–139. doi:10.2307/3250981
   Web of Science ®Google Scholar
• Venkatesh, V., Sykes, T. A., & Venkatraman, S. (2014). Understanding e‐Government portal use in rural India: Role of demographic and personality characteristics. Information Systems Journal, 24(3), 249–269. doi:10.1111/isj.12008
   Web of Science ®Google Scholar
• Von Haldenwang, C. (2004). Electronic government (e-government) and development. The European Journal of Development Research, 16(2), 417–432. doi:10.1080/0957881042000220886
   Google Scholar
• Wang, C. (2014). Antecedents and consequences of perceived value in Mobile Government continuance use: An empirical research in China. Computers in Human Behavior, 34, 140–147. doi:10.1016/j.chb.2014.01.034
   Web of Science ®Google Scholar
• Wang, Y.-S. (2003). The adoption of electronic tax filing systems: An empirical study. Government Information Quarterly, 20(4), 333–352. doi:10.1016/j.giq.2003.08.005
   Web of Science ®Google Scholar
• Wangpipatwong, S., Chutimaskul, W., & Papasratorn, B. (2008). Understanding citizen’s continuance intention to use e-government website: A composite view of technology acceptance model and computer self-efficacy. The Electronic Journal of E-Government, 6(1), 55–64.
   Google Scholar
• Warkentin, M., Gefen, D., Pavlou, P. A., & Rose, G. M. (2002). Encouraging citizen adoption of e-government by building trust. Electronic Markets, 12(3), 157–162. doi:10.1080/101967802320245929
   Google Scholar
• Williams, M., & Dwivedi, Y. (2007). The influence of demographic variables on citizens’ adoption of e-government. AMCIS 2007 Proceedings, 309.
   Google Scholar
• Worldbank. (2015). E-government Retrieved 24th August, 2017. Retrieved from http://www.worldbank.org/en/topic/ict/brief/e-government
   Google Scholar
• Zhao, F., & Khan, M. S. (2013). An empirical study of e-government service adoption: Culture and behavioral intention. International Journal of Public Administration, 36(10), 710–722. doi:10.1080/01900692.2013.791314
   Google Scholar