Analysis of Quality Input Problems in Automobile Dealerships Based on a Tripartite Evolutionary Game
- DOI
- 10.2991/978-94-6463-845-5_103How to use a DOI?
- Keywords
- Dealers; Quality Inputs; Evolutionary Game
- Abstract
With the release of the potential of the automobile consumer market, the quality problems of automobile dealers are highlighted. Based on this status quo, an evolutionary game model of automobile suppliers, dealers and consumers is constructed using evolutionary game theory, the long-term evolutionary trend of the three parties’ behavioural strategy choices is investigated, and simulation analysis is carried out using MATLAB software. It is found that the long-term stable behavioural strategies of dealers, consumers and auto suppliers are (quality input, rights protection, passive governance) and (quality input, rights protection, active governance). The cost of corporate governance and the cost of quality input from dealers are of major significance in influencing the behavioural strategies of automotive suppliers and dealers, while consumers’ rights defending behaviours also play a key role.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuanyang Liu PY - 2025 DA - 2025/09/16 TI - Analysis of Quality Input Problems in Automobile Dealerships Based on a Tripartite Evolutionary Game BT - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025) PB - Atlantis Press SP - 1053 EP - 1062 SN - 2667-1271 UR - https://doi.org/10.2991/978-94-6463-845-5_103 DO - 10.2991/978-94-6463-845-5_103 ID - Liu2025 ER -