Talk is cheap; Show me the code: managing the sustainable performance of shipping firms through big data analytics
Qiwei Pang, Po‐Lin Lai, Miao Su, Jingjing Xing, Mingjie Fang
Abstract
This research establishes strategies for enhancing sustainable performance of the shipping companies from the perspectives of organizational information processing theory and transformational leadership theory. Data from 178 shipping firms were collected, and hierarchical linear modeling was employed to examine our hypotheses. The findings indicate that big data analytics capabilities have a positive influence on shipping companies’ sustainability performance, and this impact can be amplified through cross-functional and customer coordination efforts. Additionally, our three-way interaction analysis reveals that transformational leadership strengthens the moderating influences of both cross-functional coordination and customer coordination on the relationship between big data analytics and sustainable performance. The findings from this research can provide valuable theoretical contributions and practical insights into sustainable shipping management.