CFP last date
20 May 2024
Reseach Article

Measuring the Efficiency of E-government Websites

by A. Basit Darem, Suresha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 22
Year of Publication: 2013
Authors: A. Basit Darem, Suresha
10.5120/12203-8501

A. Basit Darem, Suresha . Measuring the Efficiency of E-government Websites. International Journal of Computer Applications. 70, 22 ( May 2013), 43-49. DOI=10.5120/12203-8501

@article{ 10.5120/12203-8501,
author = { A. Basit Darem, Suresha },
title = { Measuring the Efficiency of E-government Websites },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 22 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number22/12203-8501/ },
doi = { 10.5120/12203-8501 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:33:35.341555+05:30
%A A. Basit Darem
%A Suresha
%T Measuring the Efficiency of E-government Websites
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 22
%P 43-49
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The efficiency of e-government websites is a very crucial factor for e-government success. Users prefer sites that allow them to get their tasks done successfully and quickly. In this paper, the efficiency of the current government websites at the local self-government (district level) in India is measured using two different techniques. The techniques used here are related to time and effort. In the time technique, two methods are used, the first method is about the number of successful tasks that take less than average time and the second method is about the number of successful tasks per unit of time (time-on-task). In the effort technique, we calculate the number of successful tasks completed using the optimal path. The results of the experiment conducted to measure the efficiency showed that there is an urgent need to improve the usability of e-government websites in order to be efficient and more beneficial for citizens.

References
  1. Gil-Garcia, J. R. & Martinez-Moyano, I. J. (2007) Understanding the evolution of e-government: The influence of systems of rules on public sector dynamics, Government Information Quarterly, Vol. 24, 2, pp. 266-290.
  2. Deloitte and Touche, 2003. "At the Dawn of e-Government: The Citizen as Customer. " Available from http://www. publicnet. co. uk/publicnet/fe000620. htm; Internet; accessed on January 9, 2003.
  3. Nielsen J. , Usability 101 (2012): Usability 101: Introduction to Usability. http://www. nngroup. com/articles. Last access 18-04-2013.
  4. ISO (1997) ISO 9241: Ergonomics Requirements for Office Work with Visual Display Terminal (VDT) Parts 1–17.
  5. Basit, A. D. , & Suresha. Experimental evaluation of effectiveness of e-government websites. The International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459, 2(11). (2012). P (469-473).
  6. Basit, A. D. , Suresha & Al-Hashmi, A. (2011). Evaluation of the Use of Local Government Websites: Internet Users' Perspective. The IUP Journal of Information Technology, 7(2), 47-55.
  7. Tullis, T. , & Albert, W. (2008). Measuring the user experience: collecting, analyzing, and presenting usability metrics. Amsterdam: Elsevier/Morgan Kaufmann Publishers.
  8. Sauro, J. & Lewis J. R Correlations among Prototypical Usability Metrics: Evidence for the Construct of Usability. In Proc CHI 2009 (pp. 1609-1618).
  9. Jeff Sauro. "Measuring & Analyzing Task Times " September 17, 2004. Avilable at www. measuringusability. com/task_times. html last access 18-04-2013.
  10. Albert, B. , Albert, W. , Tullis, T. , & Tedesco, D. (2010). Beyond the Usability Lab: Conducting Large-scale User Experience Studies. Morgan Kaufmann.
  11. Sauro, J. & Lewis J. R Average Task Times in Usability Tests: What to Report?. In Proc CHI 2010 (pp. 1609-1618).
  12. Cordes, R The effects of running fewer subjects on time-on-task measures. International Journal of Human-Computer Interaction, 5(4), (1993) 393-403.
  13. Cox D. R. , Hinkley D. V. (1974) Theoretical Statistics, Chapman & Hall, p49, p209
  14. Kendall, M. G. and Stuart, D. G. (1973) The Advanced Theory of Statistics. Vol 2: Inference and Relationship, Griffin, London. Section 20. 4
  15. Neyman, J. (1937). "Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability". Philosophical Transactions of the Royal Society of London A 236: 333–380.
Index Terms

Computer Science
Information Sciences

Keywords

E-government websites efficiency time-on-task effort