@inproceedings{296abd67944b4a848e4cd47bf1169484,
title = "The Impact of Photo Aesthetics on Online Consumer Shopping Behavior: An Image-Processing-Enabled Empirical Study",
abstract = "Determinants of consumer{\textquoteright}s shopping behavior are of long-term interest to researchers. Since product photos directly aid consumers{\textquoteright} understanding of products, retailers often put a lot of effort into polishing them. However, there is limited research on the impact of product photos on shopping behavior. This research takes advantage of image-processing techniques to study product photos{\textquoteright} impact. These techniques allow us to investigate a large set of photo characteristics simultaneously in an empirical study. To rule out possible confounding factors, we use a real company dataset from a social shopping Website, which has a simple interface allowing consumers to judge products mainly based on their photos. We employ two-stage nested logit model embedded with differences-in-differences approach and examine product photo characteristics from the aspects of color, composition, complexity, and model face. We found that consumers prefer to click product photos with a warmer color, a larger key object, appropriate complexity.",
keywords = "Image-processing, big data, nested logit model, visual aesthetics",
author = "Mengyue Wang and Xin Li and Chau, {Patrick Y.K.}",
note = "Publisher Copyright: {\textcopyright} 2006 Association for Information Systems. All rights reserved.; 2016 International Conference on Information Systems, ICIS 2016 ; Conference date: 11-12-2016 Through 14-12-2016",
year = "2016",
language = "English",
series = "2016 International Conference on Information Systems, ICIS 2016",
publisher = "Association for Information Systems",
number = "127464",
booktitle = "International Conference on Information Systems, ICIS 2016",
address = "United States",
edition = "127464",
}