The Impact of Digital Transformation on the Operational Efficiency of Shipping Agents in Saudi Arabian Ports
This research explores how digital transformation affects the operational efficiency of shipping agents working in Saudi Arabian ports. Specifically, it analyzes the adoption of technologies like electronic data interchange (EDI), cloud computing, blockchain, and artificial intelligence (AI), and how these impact critical key performance indicators (KPIs) such as turnaround time, documentation processing speed, communication effectiveness, and cost savings. Using a mixed-methods approach, the study combines quantitative analysis of current port data with qualitative data gathered from interviews with shipping agents, port authorities, and technology vendors. The results reveal a strong positive relationship between the use of digital technologies and operational efficiency, emphasizing the essential role of digital transformation in boosting the competitiveness and long-term viability of Saudi Arabia’s maritime industry.
This study investigates the impact of digital transformation initiatives on the operational efficiency of shipping agents operating within Saudi Arabian ports. It examines the adoption of digital technologies such as electronic data interchange (EDI), port community systems (PCS), artificial intelligence (AI), and blockchain, and their effects on key performance indicators (KPIs) related to efficiency, cost reduction, and customer satisfaction. Quantitative analysis, employing regression and correlation methodologies, is performed on recent data collected from Saudi ports to determine the strength and significance of these relationships. The findings reveal a positive and statistically significant correlation between the degree of digital transformation and operational efficiency gains, highlighting the critical role of technology adoption in modernizing and optimizing port operations in Saudi Arabia.
Keywords: Digital Transformation, Shipping Agents, Operational Efficiency, Saudi Ports, Maritime Logistics, Technology Adoption, Key Performance Indicators (KPIs), EDI, Blockchain, Cloud Computing, Artificial Intelligence
