The Impact of AI Adoption on Competition and Social Welfare in Green Supply Chains
- DOI
- 10.2991/978-94-6239-642-5_84How to use a DOI?
- Keywords
- Artificial Intelligence; Green Supply Chain; Game Theory; Profit Distribution; Demand Forecasting
- Abstract
Under the background of current digital and intellectual transformation, artificial intelligence (AI) is profoundly changing the operational and competitive mechanisms of supply chains. This study focuses supply chains involving a single manufacturer and a retailer. The main context explores the impact of AI on green supply chain decision-making strategies and profits distribution. By developing an analytical model, this paper discusses how AI adoption reshapes pricing, green investment and profit distribution between manufacturers and retailers by eliminating the demand forecasting bias (λ). The result has found a ‘dual effect’ of AI; while the overall efficiency of the supply chain leads to opposing changes in profits between two parties. This situation creates an ‘AI paradox’ which means that the actual effect is affected by key parameters such as the initial market forecasting deviation, the intensity of consumers’ green preferences, and the cost of green input. The outcomes reveal that enterprises need to promote AI with collaborative mechanisms to coordinate conflicts of interest and achieve sustainable growth.
- Copyright
- © 2026 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 - Siqi Ye PY - 2026 DA - 2026/04/29 TI - The Impact of AI Adoption on Competition and Social Welfare in Green Supply Chains BT - Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026) PB - Atlantis Press SP - 818 EP - 828 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-642-5_84 DO - 10.2991/978-94-6239-642-5_84 ID - Ye2026 ER -