Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11525
Title: A SEM-neural network approach for predicting antecedents of m-commerce acceptance
Authors: LIEBANA-CABANILLAS, FRANCISCO
Marinković, Veljko
Kalinić, Zoran
Journal: International Journal of Information Management
Issue Date: 1-Apr-2017
Abstract: © 2016 Elsevier Ltd 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.
URI: https://scidar.kg.ac.rs/handle/123456789/11525
Type: journal article
DOI: 10.1016/j.ijinfomgt.2016.10.008
ISSN: 02684012
SCOPUS: 85006097250
Appears in Collections:Faculty of Economics, Kragujevac

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