Data triangulation in action:Using comment analysis to refine web quality metrics

Barnes, Stuart and Vidgen, Richard T (2005) Data triangulation in action:Using comment analysis to refine web quality metrics. In: 13th European Conference on Information Systems, Information Systems in a Rapidly Changing Economy, ECIS 2005, 2005-05-26 - 2005-05-28, University of Regensburg.

Full text not available from this repository.

Abstract

This paper focuses on the evaluation of quality perceptions from users of an electronic government website. As government organizations have begun to enhance transparency, communicate and interact with citizens via the Web, developing appropriate online services has demanded heightened understanding of the requirements of users and appropriate tailoring of solutions. The site examined in the paper enables the online submission of self-assessed tax returns in the UK. Survey data collected via the eQual instrument were used to statistically model the perceptions of site users. However, in addition to quantitative data, we also collected open comments from respondents, and it is these comments that provide the crux of this paper. Such comments, via data triangulation, provided much more insight into the perceptions of site quality than the statistical data alone. The results of the comment analysis both support the instrument and point to additional factors determining the perceptions of quality of such e-government services requiring attention in the instrument development. The paper rounds off with a conclusions and an agenda for future research in this area.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 3937195092; 978-393719509-4
Uncontrolled Keywords: comment analysis,data triangulation,equal,evaluation,online tax submission,quality,web site,e-government services,electronic government,government organizations,instrumental development,on-line service,on-line tax,online submission,quantitative data,site quality,statistical datas,survey data,tax returns,web quality,factor analysis,image quality,information systems,instruments,online systems,triangulation,websites,quality control
Faculty \ School: Faculty of Social Sciences > Norwich Business School
Depositing User: Pure Connector
Date Deposited: 17 Dec 2013 12:22
Last Modified: 22 Apr 2020 09:28
URI: https://ueaeprints.uea.ac.uk/id/eprint/45110
DOI:

Actions (login required)

View Item View Item