On Factors Affecting the WeChat Design Based on Neural Network
Authors
Yuan-tao Jiang
Corresponding Author
Yuan-tao Jiang
Available Online July 2016.
- DOI
- 10.2991/icsshe-16.2016.102How to use a DOI?
- Keywords
- WeChat, mobile app, neural network, consumer behavior
- Abstract
WeChat (known as Weixin in Chinese) has improved the contact interface of many businesses. So, the identification of critical factors influencing the WeChat design is very important. By combining questionnaire investigation and a neural network, this paper analyzes a variety of variables in an attempt to identify the accurate predictors of WeChat adoption. The results of the analysis show that eight variables are the important factors that should influence customer's purchase intention on WeChat. Therefore, WeChat designer should consider these contextual factors in order to optimize the mobile app design.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuan-tao Jiang PY - 2016/07 DA - 2016/07 TI - On Factors Affecting the WeChat Design Based on Neural Network BT - Proceedings of the 2016 2nd International Conference on Social Science and Higher Education PB - Atlantis Press SP - 403 EP - 406 SN - 2352-5398 UR - https://doi.org/10.2991/icsshe-16.2016.102 DO - 10.2991/icsshe-16.2016.102 ID - Jiang2016/07 ER -