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Citizens’ adoption of an electronic government system: towards a unified view

Nripendra Rana Orcid Logo, Yogesh Dwivedi Orcid Logo, Banita Lal, Michael Williams, Marc Clement

Information Systems Frontiers, Volume: 19, Issue: 3, Pages: 549 - 568

Swansea University Authors: Nripendra Rana Orcid Logo, Yogesh Dwivedi Orcid Logo, Michael Williams

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DOI (Published version): 10.1007/s10796-015-9613-y

Abstract

Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four...

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Published in: Information Systems Frontiers
ISSN: 1387-3326 1572-9419
Published: Springer Science and Business Media LLC 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa24744
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first_indexed 2015-11-26T01:58:00Z
last_indexed 2023-01-11T13:56:15Z
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spelling 2022-10-26T14:04:30.0304484 v2 24744 2015-11-25 Citizens’ adoption of an electronic government system: towards a unified view b00e18aa519cd578d4b242e376e70331 0000-0003-1105-8729 Nripendra Rana Nripendra Rana true false d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 075aa59a486ba89485d9068decf7814b Michael Williams Michael Williams true false 2015-11-25 BBU Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors. Journal Article Information Systems Frontiers 19 3 549 568 Springer Science and Business Media LLC 1387-3326 1572-9419 1 6 2017 2017-06-01 10.1007/s10796-015-9613-y COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2022-10-26T14:04:30.0304484 2015-11-25T11:32:26.9587431 Faculty of Humanities and Social Sciences School of Management - Business Management Nripendra Rana 0000-0003-1105-8729 1 Yogesh Dwivedi 0000-0002-5547-9990 2 Banita Lal 3 Michael Williams 4 Marc Clement 5 24744__25591__1f9b0de5bfd84bfb8719772a027d63b9.pdf 24744_VoR.pdf 2022-10-26T14:03:20.6830295 Output 504678 application/pdf Version of Record true Copyright: The Author(s) 2015. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/
title Citizens’ adoption of an electronic government system: towards a unified view
spellingShingle Citizens’ adoption of an electronic government system: towards a unified view
Nripendra Rana
Yogesh Dwivedi
Michael Williams
title_short Citizens’ adoption of an electronic government system: towards a unified view
title_full Citizens’ adoption of an electronic government system: towards a unified view
title_fullStr Citizens’ adoption of an electronic government system: towards a unified view
title_full_unstemmed Citizens’ adoption of an electronic government system: towards a unified view
title_sort Citizens’ adoption of an electronic government system: towards a unified view
author_id_str_mv b00e18aa519cd578d4b242e376e70331
d154596e71b99ad1285563c8fdd373d7
075aa59a486ba89485d9068decf7814b
author_id_fullname_str_mv b00e18aa519cd578d4b242e376e70331_***_Nripendra Rana
d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
075aa59a486ba89485d9068decf7814b_***_Michael Williams
author Nripendra Rana
Yogesh Dwivedi
Michael Williams
author2 Nripendra Rana
Yogesh Dwivedi
Banita Lal
Michael Williams
Marc Clement
format Journal article
container_title Information Systems Frontiers
container_volume 19
container_issue 3
container_start_page 549
publishDate 2017
institution Swansea University
issn 1387-3326
1572-9419
doi_str_mv 10.1007/s10796-015-9613-y
publisher Springer Science and Business Media LLC
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.
published_date 2017-06-01T03:29:25Z
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score 10.997933

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