Factors Affecting Customer Loyalty in the B2B Background Based Neural Network Model
Authors
Jian Chen*
School of Economic and Management Shanghai Polytechnic University
*Corresponding author. Email:chenjian@sspu.edu.cn
Corresponding Author
Jian Chen
Available Online 15 December 2021.
- DOI
- 10.2991/assehr.k.211215.056How to use a DOI?
- Keywords
- Customer loyalty; Neural network; Impact factors
- Abstract
Customer loyalty is macroscopically important for all aspects of life. It is related to the continuous development of the company and the creation of the brand images. However, specific to different industries, each industry has its own issues. Industry’s unique key factors affecting customer loyalty, such as the speed of product update, communication costs, transaction costs, etc. all those factors have a great impact on customer loyalty. This paper collects and collates the literature on the analysis of customer loyalty in various industries and combines the characteristics of the company. According to the collected data, the use of neural network statistics affects loyalty. The factors were also verified by a certain simulation.
- Copyright
- © 2021 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Jian Chen PY - 2021 DA - 2021/12/15 TI - Factors Affecting Customer Loyalty in the B2B Background Based Neural Network Model BT - Proceedings of the 7th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2021) PB - Atlantis Press SP - 305 EP - 308 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.211215.056 DO - 10.2991/assehr.k.211215.056 ID - Chen2021 ER -