Leveraging Digital Intelligence Technologies for Green Shipping: Organization Information Processing and Contingency Perspective
研究数字智能技术应用如何通过提升数据分析能力和业务流程再造来改善绿色航运管理绩效，并考察绿色供应链整合的调节作用，基于中韩航运企业的调查数据。
ABSTRACT This study investigates how digital intelligence technology applications (DITAs) enhance green shipping management performance (GSMP) by improving organizational capabilities in the face of environmental uncertainty. Drawing on organizational information processing theory and contingency theory, we develop a framework that examines the mediating roles of data analytics capability and business process reengineering and the moderating effects of green supply chain integration. A two‐wave survey was conducted in China and Korea, with 205 responses collected from shipping organizations between May and August 2023. Structural equation modeling and multigroup analysis were employed. The results show that DITA significantly improves data analytics capability and business process reengineering. Meanwhile, green internal integration strengthens the effects of both data analytics capability and business process reengineering on GSMP, whereas green supplier and customer integration only enhance the impact of business process reengineering. These results offer new insights into how improvements in information processing capabilities, supported by digital and integrative mechanisms, can promote sustainable practices in the shipping industry. Practical implications are provided for managers seeking to build adaptive, digitally enabled, and environmentally aligned shipping strategies.