Leveraging Digital Intelligence Technologies for Green Shipping: Organization Information Processing and Contingency Perspective

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.

• Publication year

  2025

• Venue

  Business Strategy and the Environment

• Publication date

  2025-07-07

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1002/bse.70056
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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