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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. [ABSTRACT FROM AUTHOR]

Agri-food supply chains (AFSCs) are essential for addressing global food security and promoting the United Nation's Sustainable Development Goal of reducing hunger. These chains stand out because they deal with perishable goods that have limited shelf life and are subjected to erratic agricultural situations, such as fluctuating weather. To preserve sustainability and competitiveness, innovative approaches such as cross-border knowledge mobilization are essential for effective AFSC management. To identify the elements essential to effective knowledge mobilization within AFSCs, this study explores the dynamics of this process. Eleven potential critical success factors (CSFs) are identified and analyzed by using questionnaire surveys to collect extensive data from AFSC practitioners. The results of a multiple regression analysis show that eight of the identified criteria are strongly correlated with knowledge mobilization success. Notably, two parameters show negative correlations, indicating intricate interactions in the dynamics of knowledge. The study's findings highlight the value of strategic knowledge management for increasing the efficacy and efficiency of AFSCs and advancing the larger objective of sustainable food security. This research advances the goal of eliminating world hunger by exposing the complex effects of these CSFs and offering practitioners and policymakers useful insights for enhancing AFSC operations. [ABSTRACT FROM AUTHOR]

This paper aims to explore Key Influencing Factors (KIFs) from the perspective of national ERP vendors throughout pre-implementation and during implementation of ERP projects. We conducted a mixed methods study on 10 national ERP vendors involved in government sector projects in Saudi Arabia. KIFs were identified through in-depth interviews and prioritised using a multi-criteria decision analysis method. Findings suggested a list of KIFs that are grouped into four main categories namely sponsors and leadership, IT capabilities, change management and project management. The prioritisation of the KIFs reveals the ERP capabilities and the stakeholder managers to be the most important factors. [ABSTRACT FROM AUTHOR]

Knowledge management has been identified as a key enabler to achieve organisation’s value chain competitiveness. It, however, has been facing fresh challenges in a global supply chain setting. This paper proposes a global knowledge chain management (GKCM) framework that identifies and prioritises critical knowledge that a global supply chain can focus on to support integrated decisions. The framework explores three types of global context knowledge, namely global market knowledge, global capacity knowledge and global supply network configuration knowledge. Empirical study has been undertaken within the manufacturing industry to evaluate the GKCM framework. Analytic network process has been explored as a key method to assess the importance of the global knowledge constructs from supply chain managers’ perspectives. A key contribution of the paper is that it advances existing knowledge chain management approaches within one organisation and its local supply chain to include the global context knowledge applicable to global manufacturing settings, and highlights how the GKCM framework can support global supply chain integrated decisions. [ABSTRACT FROM PUBLISHER]