Big Data Analytics in Management Information Systems: Exploring Its Role in Comprehensive Bonded Zones for Enhanced Industrial Structures and Local Economic Development

Abstract

CBZs influence Chinese industry and growth and studying CBZ causes and dynamics is crucial to understanding their effects. To fill this gap, we define key CBZ traits, explore government policies, evaluate infrastructure development, analyse human resources dynamics, and investigate Big Data Analytics in CBZ management information systems. Research uses regression analysis to determine variable correlations, significance, and magnitude. SPSS 25 analyses moderation and regression. Regression analyses show that CBZ features, government policies, infrastructure development, local economic development, and industrial structure optimisation are positively connected. Human capital investment and Big Data Analytics improve CBZ features and government policies, boosting economic growth and industrial innovation in moderation tests. CBZ officials, businesses, and stakeholders should carefully review these findings due to their practical relevance. To boost CBZ innovation and competitiveness, improve infrastructure, government backing, and Big Data Analytics. To maximise CBZ ecosystem contributions, enterprise actions should match variables. Education and technology investments in human capital and technology can assist CBZs. Industrial and economic geography explain CBZ operations and economic zone success. This study examines CBZ performance factors to improve theory and decision-making. Hybrid methods should be used to study CBZs worldwide and how technology affects them. This study suggests CBZs boost local economic growth and industrial structure optimisation. This research shows the many elements that affect CBZ performance in China and internationally, enabling policymakers, practitioners, and scholars to improve it.