Abstract
Due to the development of mobile communication and the spread of mobile devices, the use of mobile commerce (m-commerce), which enables commercial activities anytime, anywhere, through the Internet, is becoming more active. Compared with e-commerce, m-commerce has excellent convenience, but consumer behavior such as product searching, preference and purchase are performed on a relatively smaller screen. Therefore, this paper extracted images attributes through vision API and Deep-CNNs, and sentiment analyzed customer reviews by separating them into Material, Size, Price, and Delivery. In order to study the effect of such information on consumer behavior, regression analysis and mediating effect analysis based on the Stimulus-Organism-Response (S-O-R) model. The model states that external stimuli affect the individual's psychological state and ultimately the actual behavior. This paper has classified the characteristics of information on customer behavior in m-commerce, and it had been confirmed that images and reviews had a significant effect on the performance of m-commerce sales products through S-O-R model.
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Im, E.T., Phuong, H.T., Oh, M.S., Lee, J.Y., Gim, S. (2021). The Effects of Product’s Visual Preview and Customer Review on Sale Performance in Mobile Commerce. In: Lee, R., Kim, J.B. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. SNPD 2021. Studies in Computational Intelligence, vol 951. Springer, Cham. https://doi.org/10.1007/978-3-030-67008-5_17
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