Identifying drivers of logistics growth using smart technologies: A bibliometric study

Document Type : Original Article

Authors

1 Prof, Department of Business Administration, Faculty of Social Sciences, University of Mohaghegh Ardabili. Ardabil

2 Ph.D. student, Department of Business Administration, Faculty of Social Sciences, University of Mohaghegh Ardabili

3 Prof, Department of Business Administration, Faculty of Social Sciences, University of Mohaghegh Ardabili.

4 Prof, Department of Business Administration, Faculty of Social Sciences, University of Mohaghegh Ardabili

Abstract

The logistics industry is undergoing unprecedented transformation and advancement under the influence of the wave of digitalization. In this regard, the present study was based on an interpretive paradigm with the aim of systematically reviewing bibliometrics and content analysis of logistics system studies using smart technologies. For this purpose, after a systematic search in the scientific databases Scopus and Science Direct, 147 related articles from 2005 to 2024 were selected based on the Prisma protocol and entered into the bibliometric software package and VOSviewer software. The obtained data were analyzed based on bibliometric techniques of citation analysis, bibliometric pair, keyword concurrency, conceptual topic analysis and content analysis. The findings showed that five growth clusters of "internal logistics", "external logistics", "sustainable logistics", "reverse logistics" and "third-party logistics" were identified from the studies. The results of this study suggest the application of smart logistics system and the use of smart technologies capabilities. Using quantitative bibliometric methods such as algorithms and software tools, we have mapped the progress of information over time and provided an overview of the growth of logistics utilizing smart technologies to help researchers and industry stakeholders identify new research avenues and develop fresh insights.

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Articles in Press, Accepted Manuscript
Available Online from 07 July 2025
  • Receive Date: 28 May 2025
  • Revise Date: 13 June 2025
  • Accept Date: 07 July 2025