TITLE:
Does Supply Chain Resilience Mediate the Relation between Artificial Intelligence Capabilities and Supply Chain Performance?
AUTHORS:
Gladys Tuo, Michael Karikari Appiah, Kwame Owusu Sarpong, Stephen Okyere
KEYWORDS:
Artificial Intelligence Capabilities, Low-Income Economics, Resilience Supply Chain, Supply Chain Performance
JOURNAL NAME:
Open Journal of Business and Management,
Vol.12 No.6,
November
21,
2024
ABSTRACT: Undisputedly, low-income economies are saddled with unique growth obstacles, such as increased vulnerability to external shocks, limited infrastructure, and low technological applications, amongst other constraints. This study presents new contributions on how to enhance supply chain performance in the emerging market from the perspective of Artificial Intelligence (AI) capabilities and resilience supply chain in Ghana where such studies predominantly remain fuzzy. This paper aims to develop a model to explain how the integration of AI capabilities could enhance supply chain resilience to improve the supply chain performance of low-resource economies. This study has been approached using a quantitative research strategy and comprehensive survey design. Data have been collected from a cross-section of medium and large-scale manufacturing companies from Ghana between April and July 2023. The data analyses and hypotheses were tested using the Variance-based Structural Equation Modelling Technique and SMART-Partial Least Square version 3.8.9. The indicative results have shown that AI capabilities (tangible resources, human resources, and intangible resources) have a positive and significant relationship with supply chain resilience and supply chain performance. Besides, supply chain resilience has a positive and significant relationship with supply chain performance. Again, supply chain resilience positively and significantly mediates the relationship between AI capabilities and supply chain performance. The implications of the paper include the development of a theoretical framework in a low-income context that integrates AI capabilities, supply chain resilience, and supply chain performance. The outcomes of the paper offer unique guidance for business owners, practitioners, trade facilitators, and regulators on how to implement AI capabilities to enhance supply chain performance.