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

Sujeet Kumar Sharma, Ali Al-Badi, Nripendra P. Rana*, Laila Al-Azizi

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

82 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
الصفحات (من إلى)557-568
عدد الصفحات12
دوريةGovernment Information Quarterly
مستوى الصوت35
رقم الإصدار4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أكتوبر 2018

ASJC Scopus subject areas

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