Maritime logistics and digital transformation with big data: review and research trend
Document Type
Article
Publication Date
7-22-2024
Abstract
Purpose
This paper summarizes and synthesizes existing research while critically assessing findings for future studies to advance the scholarship of maritime logistics and digital transformation with big data. Design/methodology/approach
A bibliometric analysis was conducted on 159 journal articles from the Scopus database with search keywords “maritime*” and “big data.” This analysis helps identify research gaps by identifying themes via keyword co-occurrence, co-citation and bibliographic coupling analysis. The Theory-Context-Characteristics-Methodology (TCCM) framework was applied to understand the findings of bibliometric analysis and provide a research agenda. Findings
The analyses identified emerging themes of the scholarship of maritime logistics and digital transformation with big data and their relationships to identify research clusters. Future research directions were provided by examining existing research's theory, context, characteristics and method. Originality/value
This research is grounded in bibliometric analysis and the TCCM framework to understand the scholarly evolution, giving managers and academics retrospective and prospective insights.
Recommended Citation
An, Jiyoon, "Maritime logistics and digital transformation with big data: review and research trend" (2024). College of Business and Economics. 354.
https://digitalcommons.uncfsu.edu/college_business_economics/354