Exploring Stakeholder Dynamics and Sustainable Development in Hangzhou’s E-Commerce Industry Empowered by AI

Background: Centered on Alibaba Group, Hangzhou’s e-commerce has developed a distinctive model encompassing B2B, B2C, and C2C frameworks, while integrating advanced technologies such as cloud computing, big data, and artificial intelligence. However, the ecosystem’s diverse stakeholders face complex interactions and frequent conflicts of interest, necessitating effective coordination mechanisms. Objective: This study aims to analyze the demands and interactions among stakeholders within Hangzhou’s e-commerce ecosystem and leverage artificial intelligence (AI) to propose innovative mechanisms for resolving conflicts of interest. Method: A combination of literature review, case analysis, and stakeholder analysis was employed, along with the development of an AI-based interest coordination model to simulate and optimize stakeholder interactions. Findings: The findings reveal that the primary sources of conflict stem from unequal resource allocation and information asymmetry, while the AI model effectively mitigates conflicts, enhances collaboration efficiency, and promotes win-win outcomes. Conclusion: This research provides theoretical and practical insights for fostering a harmonious e-commerce ecosystem in Hangzhou and offers a valuable reference for sustainable e-commerce development in other regions.