Perspectives of citizens towards e-government in Thailand and Indonesia: A multigroup analysis

• Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of user perceptions in e-government information technology adoption. Decision Support Systems, 22(1), 5–29.

  Article  Google Scholar 

• Aldrich, D., Bertot, J. C., & McClure, C. R. (2002). E-government: Initiatives, developments, and issues. Government Information Quarterly, 19(4), 349–355.

  Article  Google Scholar 

• Anderson, J., & Gerbing, D. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.

  Article  Google Scholar 

• Barnes, S. J., & Vidgen, R. T. (2002). An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research, 3(3), 114–127.

  Google Scholar 

• Barnes, S. J., & Vidgen, R. T. (2006). Data triangulation and web quality metrics: A case study in e-government. Information and Management, 43(6), 767–777.

  Article  Google Scholar 

• Becker, S. (2005). E-government usability for older adults. Communications of the ACM, 48(2), 102–104.

  Article  Google Scholar 

• Berkley, B., & Gupta, A. (1994). Improving service quality with information technology. International Journal of Information Management, 14, 109–121.

  Article  Google Scholar 

• Bradley, R., Pridmore, J., & Byrd, T. (2006). Information systems success in the context of different corporate cultural types: an empirical investigation. Journal of Management Information Systems, 23(2), 267–294.

  Article  Google Scholar 

• Brannen, A., & Cornett C. (2001). E-Government in California: Providing services to citizens through the Internet, January 24, 2001. Resource document. State of California. Retrieved 2 March 2006 from http://www.lao.ca.gov/2001/012401_egovernment.html.

• Bretschneider, S., Gant, J., & Ahn, M. (2003). A general model of e-government service adoption: empirical exploration. Proceedings of the Public Management Research Conference, Georgetown Public Policy Institute Washington, DC, October 9–11, 2003.

• Carter, L., & Belanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–26.

  Article  Google Scholar 

• CDT (2005). E-Government in developing countries. Resource document. Center for Democracy and Technology. Retrieved 10 March 2006 from http://www.cdt.org/egov/descriptions.shtml.

• Chin, W. (1998). The partial least squares approach for structural equation modeling. In G. Marcoulides (Ed.), Modern methods for business research. Hillsdale: Erlbaum.

  Google Scholar 

• Choudrie, J., & Dwivedi, Y. (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.

  Google Scholar 

• Dabholkar, P. A. (1996). Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality. International Journal of Research in Marketing, 13(1), 29–51.

  Article  Google Scholar 

• Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 318–339.

  Article  Google Scholar 

• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.

  Article  Google Scholar 

• DeLone, W., & McLean, E. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.

  Google Scholar 

• Edmiston, K. (2003). State and local e-government: Prospects and challenges. American Review of Public Administration, 33(1), 20–45.

  Article  Google Scholar 

• Evans, K. & Brown, S. W. (1988). Strategic options for service delivery systems. In C. A. Ingene & G. L. Frazier (Eds.), Proceedings of the AMA Summer Educational Conference.

• Forman, A. M., & Ven, S. (1991). The depersonalization of retailing: its impact on the lonely consumer. Journal of Retailing, 67(2), 226–243.

  Google Scholar 

• Gilbert, D., Balestrini, P., & Littleboy, L. (2004). Barriers and benefits in the adoption of e-government. The International Journal of Public Sector Management, 17(4/5), 286–301.

  Article  Google Scholar 

• Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(4), 36–44.

  Article  Google Scholar 

• Gulati, R., & Garino, J. (2000). Get the right mix of bricks and clicks. Harvard Business Review, 78(3), 107–114 (May–June).

  Google Scholar 

• Guo, X., & Lu, J. (2004). Effectiveness of e-government online services in Australia. In W. Hang, K. Siau, & K. K. Wei (Eds.), Electronic government strategies and implementation (pp. 214–241). Hershey: Idea Group.

  Google Scholar 

• Hansen, H. (1995). A case study of a mass information system. Information and Management, 28, 215–225.

  Article  Google Scholar 

• Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: The SAS Institute.

  Google Scholar 

• Higgins, L. F., & Ferguson, J. M. (1991). Practical approaches for evaluating the quality dimensions of professional accounting services. Journal of Professional Services, 7(1), 3–17.

  Article  Google Scholar 

• Horrigan, J. (2004). How Americans get in touch with government. Resource document. Pew Internet and American Life Project. Retrieved 3 March 2006 from http://www.pewinternet.org/pdfs/PIP_E-Gov_Report_0504.pdf.

• Hung, S. Y., Ku, C. Y., & Chang, C. M. (2005). E-government applications and user acceptance in Taiwan. Electronic Government Strategies and Implementation, pp. 421–440.

• Ke, W., & Wei, K. (2004). Successful e-government in Singapore. Communications of the ACM, 47(6), 95–99.

  Article  Google Scholar 

• Koh, C., & Prybutok, V. (2003). The three ring model and development of an instrument for measuring dimensions of e-government functions. Journal of Computer Information Systems, 43(3), 34–39.

  Google Scholar 

• Lederer, A., Maupin, D., Sena, M., & Zhuang, Y. (2000). The technology acceptance model and the world wide web. Decision Support Systems, 29(3), 269–282.

  Article  Google Scholar 

• Liao, Z., & Cheung, M. (2002). Internet based e-banking and consumer attitudes: An empirical study. Information and Management, 39(4), 283–295.

  Article  Google Scholar 

• Luling, D. (2001). Taking it online: Anyway, anyplace, anytime…Tennessee anytime. The Journal of Government Financial Management, 50(2), 42–49.

  Google Scholar 

• Meuter, M., Ostrom, A., Roundtree, R., & Bitner, M. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64.

  Article  Google Scholar 

• Mooney, C., & Duval, R. (1993). Bootstrapping: A nonparametric approach to statistical inference. Sage University Paper Series on Quantitative Applications in the Social Sciences, Series no. 07-095. Newbury Park, CA: Sage Publications.

  Google Scholar 

• Musso, J., Weare, C., & Hale, M. (2000). Designing web technologies for local governance reform: Good management or good democracy? Political Communication, 17(1), 1–19.

  Article  Google Scholar 

• Norris, D., & Moon, M. (2005). Advancing e-government at the grassroots: Tortoise or hare? Public Administration Review, 65(1), 64–75.

  Article  Google Scholar 

• Nunnally, J. (1978). Psychometric theory. New York: McGraw Hill.

  Google Scholar 

• O’Cass, A., & Fenech, T. (2003). Web retailing adoption: Exploring the nature of Internet users Web retailing behavior. Journal of Retailing and Consumer Services, 10(2), 81–94.

  Article  Google Scholar 

• Parasuraman, A., Zeithami, V., & Berry, L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49, 41–50.

  Article  Google Scholar 

• Prendergast, G., & Marr, N. (1994). Disenchantment discontinuance in the diffusion of technologies in the service industry: A case study in retail banking. Journal of International Consumer Marketing, 7(2), 25–40.

  Article  Google Scholar 

• Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.

  Google Scholar 

• Schaupp, L. C., & Carter, L. (2005). E-voting: From apathy to adoption. Journal of Enterprise Information Management, 18(5/6), 586–601.

  Article  Google Scholar 

• Shackleton, P., Fisher, J., & Dawson, L. (2006). E-government services in the local government context: An Australian case study. Business Process Management Journal, 12(1), 88–100.

  Article  Google Scholar 

• Szymanski, D. M., & Hyse, R. T. (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309–322.

  Article  Google Scholar 

• Tan, W. & Subramaniam, R. (2005). e-Government: implementation policies and best practices from Singapore. Electronic Government Strategies and Implementation, pp. 305–324.

• Van Riel, A. C. R., Liljander, V., & Jurriens, P. (2001). Exploring consumer evaluations of e-services: A portal site. International Journal of Service Industry Management, 12(4), 359–377.

  Article  Google Scholar 

• Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.

  Article  Google Scholar 

• West, D. (2000). Assessing e-government: The Internet democracy, and service delivery by state and federal governments. Resource document. Brown University. Retrieved 20 December 2005 from http://www.brown.edu/Departments/Taubman_Center/polreports/egovtrelease00.html.

• West, D. (2001). State and federal e-government in the United States. Resource document. Brown University. Retrieved 20 December 2005 from http://www.brown.edu/Departments/Taubman_Center/polreports/egovt01us.html.

• Zhu, F. X., Wymer, W., & Chen, I. (2002). IT-based services and service quality in consumer banking. International Journal of Service Industry Management, 13(1), 69–90.

  Article  Google Scholar 

Download references