ABSTRACT

In the last decade, food and drink supply chain management has become an important part of global operations strategy. The global food and drink industries (FDIs) is establishing supply chain operations across countries as a result of increasing demand, this expansion has created challenges in coordinating operations that connect multi-suppliers, one as such is the financial enabler for the multi-layered supply chain network. However, literature on artificial intelligence (AI) in FDIs is limited, this study explores AI theory in supply chain networks and alternative supply chain financing for the FDIs. This study proposes a new conceptual framework based on theoretical contributions identified through literature, a conceptual framework is established and further developed to a meta-framework. This study explored the set-theoretic comparative approach for data analysis, the outcomes of this research suggest that the probable contributions of supply chain networks driven by AI technologies provide a sustainable financing stream for the food and drink supply chain.

摘要

在过去十年中，食品和饮料供应链管理已成为全球运营战略的重要组成部分。由于需求增加，全球食品和饮料行业 (FDI) 正在跨国家建立供应链运营，这种扩张在协调连接多供应商的运营方面带来了挑战，其中之一就是多层次供应的财务推动力连锁网络。然而，关于外国直接投资中人工智能 (AI) 的文献有限，本研究探讨了供应链网络中的人工智能理论和外国直接投资的替代供应链融资。本研究基于通过文献确定的理论贡献提出了一个新的概念框架，建立了一个概念框架并进一步发展为一个元框架。