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    Mobile applications in government services (mG-App) from user's perspectives: A predictive modelling approach

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    Rana_Government_Information_Quarterly (988.2Kb)
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    Publication date
    2018-10
    Author
    Sharma, S.K.
    Al-Badi, A.
    Rana, Nripendra P.
    Al-Azizi, L.
    Keyword
    Mobile apps
    M-government
    UTAUT
    Trust
    Information quality
    Oman
    Rights
    © 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
    
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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.
    URI
    http://hdl.handle.net/10454/18063
    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.
    Link to publisher’s version
    https://doi.org/10.1016/j.giq.2018.07.002
    Type
    Article
    Collections
    Management and Law Publications

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