کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5110831 | 1483188 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A SEM-neural network approach for predicting antecedents of m-commerce acceptance
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
سیستم های اطلاعات مدیریت (MIS)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Higher penetration of powerful mobile devices - especially smartphones - and high-speed mobile internet access are leading to better offer and higher levels of usage of these devices in commercial activities, especially among young generations. The purpose of this paper is to determine the key factors that influence consumers' adoption of mobile commerce. The extended model incorporates basic TAM predictors, such as perceived usefulness and perceived ease of use, but also several external variables, such as trust, mobility, customization and customer involvement. Data was collected from 224 m-commerce consumers. First, structural equation modeling (SEM) was used to determine which variables had significant influence on m-commerce adoption. In a second phase, the neural network model was used to rank the relative influence of significant predictors obtained from SEM. The results showed that customization and customer involvement are the strongest antecedents of the intention to use m-commerce. The study results will be useful for m-commerce providers in formulating optimal marketing strategies to attract new consumers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Information Management - Volume 37, Issue 2, April 2017, Pages 14-24
Journal: International Journal of Information Management - Volume 37, Issue 2, April 2017, Pages 14-24
نویسندگان
Francisco Liébana-Cabanillas, Veljko MarinkoviÄ, Zoran KaliniÄ,