The Impact of Artificial Intelligence ( AI )‐Enabled Collaborative Approach: Achieving Sustainable Supply Chain Performance
研究了人工智能如何帮助小型茶园解决物流效率低、质量不稳定等问题，通过协作模型提升供应链的可持续性和盈利能力，对农业供应链管理者和政策制定者有参考价值。
ABSTRACT This study investigates the role of artificial intelligence (AI) in enhancing sustainability and efficiency within the fragmented supply chain of the tea industry. Small‐scale tea gardens often face logistical inefficiencies, inconsistent quality control, and economic constraints, limiting their competitiveness. This research bridges the gap in literature by proposing an AI‐enabled collaborative supply chain model tailored for small‐scale tea gardens. Using a mixed‐method research design incorporating extensive field studies and structural equation modeling (SEM), this study validates the model's effectiveness. Findings indicate that AI can significantly improve coordination, predictive analytics, and automation in supply chain processes, enhancing operational efficiency, profitability, and sustainability. Additionally, AI‐driven collaboration fosters more transparent and data‐driven decision‐making among supply chain partners, reducing dependency on intermediaries. This study contributes to the theory of collaborative advantage by demonstrating AI's role in fostering cooperative synergies in agricultural supply chains. The proposed AI‐enabled framework offers a scalable model for broader application in agribusiness, presenting significant policy and managerial implications.