Bibliometric Analysis of Intelligent Logistics Research : Focusing on Korean, Chinese, and English Journals
Year: 2024
Type: article
Abstract: This paper aimed to conduct a bibliometric analysis focusing on the issues and trends in intelligent logistics research across core Korean, Chinese, and English journals in the 21st century. The study utilizes bibliometric techniques to analyze a comprehensive dataset extracted from three authoritative databases: KCI, CNKI, and Web of Science. Keywords related to intelligent logistics were used to search for relevant articles published between January 1, 2000, and January 01, 2024. Bibliometric analysis was performed to identify trends, key research themes, and the evolution of research topics over time. The findings reveal significant growth in research output, particularly in English-language publications, indicating increasing global interest in intelligent logistics. Key research themes identified include the integration of cutting-edge technologies such as the Fourth Industrial Revolution, smart manufacturing, and the Internet of Things into logistics practices. The analysis also highlights distinct research emphases across different linguistic domains, with Korean, Chinese, and English papers demonstrating unique priorities and trends. This study contributes to the understanding of intelligent logistics research trends and dynamics, providing valuable insights for scholars, practitioners, and industry stakeholders. By identifying key research themes and emerging areas of interest, this research informs strategic decision-making and drives innovation in the field of logistics and supply chain management.
Source: 한국물류학회지
Authors: Hao-Yue Bai, Jung-Hee Kim, Seong-Han Kim
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4405037240