Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling

Sujeet Kumar Sharma*

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

124 اقتباسات (Scopus)

ملخص

Higher penetration of smartphones and 3G and 4G mobile networks have led to the higher usage of smartphones for mobile banking activities. This paper identifies key antecedents influencing the mobile banking acceptance. The research extends the original Technology Acceptance Model, by incorporating two cognitive antecedents, namely, autonomous motivation and controlled motivation, in addition to trust components for understanding adoption. Data were collected from 225 mobile banking users and analyzed using an innovative two-stage research methodology. In the first stage, structural equation modeling was employed to test the research hypotheses and identify significant antecedents influencing mobile banking acceptance. In the second stage, the significant antecedents obtained from the first stage were input to a neural network model for ranking. The results showed that trust and autonomous motivation are the two main predictors influencing mobile banking acceptance. Theoretical and practical implications of findings are discussed.

اللغة الأصليةEnglish
الصفحات (من إلى)815-827
عدد الصفحات13
دوريةInformation Systems Frontiers
مستوى الصوت21
رقم الإصدار4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أغسطس 15 2019
منشور خارجيًانعم

ASJC Scopus subject areas

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