TITLE:
Sustainable Digital Exports from China to Africa Based on Innovation and Predictive Analytic to Improve Supply Chain Efficiency
AUTHORS:
Anseguerema Bamia, Fanta Bamia
KEYWORDS:
Digital Export, Digital Innovation, E-Commerce, Supply Chain Management, Predictive Analytic
JOURNAL NAME:
Open Journal of Business and Management,
Vol.13 No.1,
January
23,
2025
ABSTRACT: Digital transformation to improve supply chain management systems in e-commerce is exciting and emerging. Digital transformation offers a reshaping of traditional business models, especially digital-based exports between different regions of the world that are constrained by the need for an adequate regulatory framework. This research explores supply chain optimization processes from China to Africa through digital innovation and predictive analytic. Modern digital technologies integrating supply chain management systems have proven important factors for business objectives, especially for digital exports from China to Africa. These technologies have increased work efficiency, reduced costs, and enhanced decision-making capabilities for running e-commerce. Digital innovation adopted with a mean of 1.58 and a standard deviation of 0.62, indicates that China and Africa’s digital connectivity is at an early stage in supply chain performance. The early stage means that digital infrastructure such as high-speed internet and interoperable platforms are not yet fully developed and the adoption of advanced technologies such as AI and blockchain, is limited. Additionally, challenges such as variations in policies, low levels of trust and poor collaboration hinder full integration into digital-based commerce. The results on obstacles, with a mean of 1.87 and a standard deviation of 0.74, indicated that infrastructure, skills, and technology challenges are critical to improving digital transformation in supply chain management systems. Forecasting analytic positively impacts demand forecasting with a mean of 1.18 and a standard deviation of 0.39. Inventory management reduces overstock, evidenced by 1.55 mean values and 0.55 standard deviation. Regression analysis shows that predictive analytic needs further refinement, as a p-value greater than 0.05 suggests. Supply chain transparency, with a mean value of 1.44 and a standard deviation of 0.67, and supply chain flexibility, with a mean value of 1.28 and a standard deviation of 0.57, are significant contributors to the operational performance that necessitates digital-based growth. Various correlation analyses show a weak relationship between digital innovation and supply chain-based outcomes, indicating the need to coordinate strategies that enhance connectivity between China and Africa. This research study identifies and presents an effective platform for digital exports from China to Africa through digital innovation and predictive analytic. The study also identified strategies to improve supply chain efficiency and technology to make digital exports efficient, further boosting e-commerce between China and Africa.