Citizens’ Adoption of Pay-to-use E-Government Services: An Empirical Study

Citizens’ Adoption of Pay-to-use E-Government Services: An Empirical Study

Amitabh Ojha, G. P. Sahu, M. P. Gupta
Copyright: © 2011 |Pages: 21
DOI: 10.4018/jegr.2011040102
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Evidence exists that citizens’ demand for pay-to-use e-government services is highly price-elastic. But research on citizens’ adoption of e-government remains almost entirely pre-occupied with contexts wherein it is implicit that citizens would not face any monetary cost implications. The fact that Technology Acceptance model (TAM) and Perceived Characteristics of Innovating (PCI) do not factor in potential adopters’ monetary cost perceptions is a plausible reason for such bias in research efforts. The paper posits a model wherein the value perceived by a citizen in government-to-citizen (G2C) online channel, and traditional public service delivery channel are antecedents of his or her intention to use the online channel. The model was tested in the context of the rail ticketing service of Indian Railways (a Department of India’s federal government). Results support the hypothesized paths, and offer useful managerial guidance to encourage citizens’ adoption. The paper discusses the prospect of certain adverse consequences for public administration and citizens, which could be linked to e-government and user charges, and ways to mitigate them. Research implications are also discussed.
Article Preview
Top

Literature Review

Focus of the review presented here is on the role of potential (individual) adopter’s monetary cost implications in technology acceptance. The review is organized along the following three information systems usage contexts: (a) information systems usage in organizational or institutional settings; (b) citizens’ usage of e-government; and (c) business-to-consumer e-commerce. Technology adoption literature per-se is voluminous and has been the topic of several reviews and critiques, sources for which are provided in the sub-sections that follow.

Complete Article List

Search this Journal:
Reset
Volume 20: 1 Issue (2024)
Volume 19: 1 Issue (2023)
Volume 18: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 17: 4 Issues (2021)
Volume 16: 4 Issues (2020)
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing