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Mobile applications in government services (mG-App) from user's perspectives: A predictive modelling approach
Sharma, S.K. Al-Badi, A. Rana, Nripendra P. Al-Azizi, L.
Sharma, S.K.
Al-Badi, A.
Rana, Nripendra P.
Al-Azizi, L.
Publication Date
2018-10
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© 2018 Elsevier Inc. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
19/07/2018
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Abstract
Mobile applications are becoming a preferred delivery method for the government sector and contributing to more convenient and timely services to citizens. This study examines the intention to use mobile applications for the government services (mG-App) in Oman. This study extended the Unified Theory of Acceptance and Use of Technology (UTAUT) model by including two constructs namely trust and information quality. Data were collected from 513 mobile application users across Oman. The research model was analysed in two stages. First, structural equation modelling (SEM) was employed to determine significant determinants affecting users’ acceptance of mG-App. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of determinants of acceptance of mG-App. The findings revealed that trust and performance expectancy are the strongest determinants influencing the acceptance of mG-App. The findings of this research have provided theoretical contributions to the existing research on mG-App and practical implications to decision-makers involved in the development and implementation of mG-App in in Oman.
Version
Accepted manuscript
Citation
Sharma SK, Al-Badi A, Rana NP et al (2018) Mobile applications in government services (mG-App) from user's perspectives: A predictive modelling approach. Government Information Quarterly. 35(4): 557-568.
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Article