Customer satisfaction measurement model of e-government service

Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010

Volumn , Issue , 2010, Pages 419-423

  Liu, Yan ^a   Zhou, Changfeng ^a   Chen, Yingwu ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

E-GOVERNMENT; E-GOVERNMENT SERVICES; ELECTRONIC GOVERNMENT; GOODNESS OF FIT; MEASUREMENT MODEL; ONLINE SURVEYS; PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; PERSONALIZATIONS; STRUCTURAL EQUATION MODELING; TECHNOLOGY ACCEPTANCE MODEL; UNDERGRADUATE STUDENTS; WEB PORTAL;

GOVERNMENT DATA PROCESSING; INFORMATION SERVICES; SALES;

CUSTOMER SATISFACTION;

EID: 77957811337     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOLI.2010.5551542     Document Type: Conference Paper

References (21)

1. W'O Okot-Uma, R. Electronic Governance: Re-inventing Good Governance. Retrieved 28 April, 2005. Available: http://wwwI.worldbank.orgipublicsector/ egov/Okot-Uma.pdf.
2. Chabrow, E., Survey Says Citizens Want More Than E-government. Retrieved June 01, 2005. Available: http://www.informationweek.com/story/showArticle. jhtml?articleID=21100103/.
3. Papadomichelaki, X., Magoutas, B., Halaris, C., Apostolou, D., Mentzas, G.N.: A Review of Quality Dimensions in E-government Services. In: Wimmer, M.A., Scholl, H.J., Gronlund, A., Andersen, K.V. (eds.) EGOV. LNCS, vol. 4084, pp. 128-138. Springer, Heidelberg, 2006.
4. Turban, E., Mclean, E., & Wetherbe, J. Information technology for management: transforming business in the digital economy (3rd ed.). NY: John Wiley & Sons. 2002.
5. Golden, W. et ai, "The role of process evolution in achieving citizen centered e-government, " Ninth Americas Conference on Information Systems, 2003, pp. 801-810.
6. Shutter, J. & de Graffenreid, E., "Benchmarking the e-Government Revolution: Year 2000 Report on Citizen and Business Demand, " Momentum Research Group, July 26, 2000, pp.1-36. Available: http://www.nicusa.com/ pdflEGOVBenchmark.pdf.
7. Davis, F. D. Perceived Usefulness, Perceived Ease of Use, and user Acceptance of Information Technology. MIS Quarterly, vol. 13, 1989. pp. 319-340.
8. Conrath, D. W., & Mignen, O. P. What is being done to measure user satisfaction with EDP/MIS. Information and Management, 1990. pp. 7-19.
9. Wang, L., Bretschneider, S., and Gant, J. "Evaluating Web-Based E-Government Services with a Citizen-Centric Approach, " 38th Annual Hawaii International Conference on Systems Sciences. Big Island, Hawaii, 2005.
10. Reddick, G.C., "Citizen interaction with e-government: From the streets to servers?" Government Information Quarterly, vol. 22, no. 2004, pp. 38-57.
11. Davis, F. D. A technology acceptance model for empirically testing new end user information systems: theory and results. Sloan School of Management, Massachusetts Institute of Technology. 1986.
12. Fishbein, M. and I. Ajzen. Belief, Attitude, Intentions and Behaviour: An Introduction to Theory and Research. Boston, Addison-Wesley, 1975.
13. Laudon, K. C., & Laudon, J. P. Management information systems: managing the digital firm (7thed.).NJ: Prentice Hall. 2002.
14. Bobbitt, L. M., & Dabholkar, P. A. "Integrating attitudinal theories to understand and predict use of technology-based self-service: The Internet as an illustration." International Journal of Service Industry Management, vol. 12, no. 5, 2001, pp. 423-450.
15. Fayish, A., Gross, F., and Jovanis, P. "User Perceptions of Web-Based Roadway Weather Information Systems (RWIS): Navigability, " 84th Annual Meeting of Transportation Research Board. Washington, D.C., 2005.
16. O'Looney, J. "Personalization of Government Internet Services, " Digital Government Conference Proceedings. Los Angeles, CA, 2001.
17. Wold Leitner H, H. Systems analysis by partial least squares. In: Nijkamp P Wrigley N, (editors). Measuring the Unmeasurable, Boston, MA: Martinus NijhoffPublishers: pp. 221-251.
18. Chin, W.W., &P.R.Newsted. Structural equation modeling analysis with small samples using partial least squares. In: Hoyle RH, editor. Statistical Strategies for Small Sample Research. Thousand Oaks, CA: SAGE Publications: pp. 307-341.
19. Chin W.W., PLS-Graph user' guide, version 3.0. Unpublished manuscript 2001 edition.
20. Fomell, C., D. F. Larcker, "Structural equation models with unobservable variables and measurement error", Journal of Marketing Research, vol. 18, no. 1, 1981, pp39-50.
21. Nunnally, J., Psychometric Theory, McGraw-Hili, New York, 1978G. Eason, B. Noble, and I. N. Sneddon, "On certain integrals of Lipschitz-Hankel type involving products of Bessel functions, " Phil. Trans. Roy. Soc. London, vol. A247, pp. 529-551, April 1955.