...Bouzidi Lamdjad Purpose This study aims to develop a comparative forecasting framework for container throughput in Gulf ports by integrating statistical models, machine learning techniques, and Explainable AI (XAI) approaches. The objective is to improve predictive accuracy while enhancing...

... the prediction accuracy. With the increasing adoption of machine learning for pricing physical assets, this paper aims to quantify potential factors in a non-parametric manner. Furthermore, it seeks to evaluate whether the devised method can serve as an efficient means of valuation. Design/methodology...

... and logistics from Internet articles. The information extracted is then analyzed through machine learning algorithms for useful insights. Findings The research results indicate that the recovery of the global supply chain in China could potentially drive the global supply chain to return to normalcy...

... a text mining method to retrieve information from scientific journal papers on the related topics. The text information is then analyzed through machine learning (ML) models to identify the important implications from the existing literature. Findings The research findings are three-fold. While...