Overview of Current Research on Artificial Intelligence in Logistics DOI Creative Commons

Patrik Boršoša,

Gabriel Koman

Logi, Journal Year: 2025, Volume and Issue: 16(1), P. 13 - 24

Published: Jan. 1, 2025

Abstract This article aims to provide an overview of the current state research on artificial intelligence in logistics, focusing identifying key thematic areas addressed by authors this field. The analyzes specific that are subject individual studies dealing with issue. Various methodological approaches were used analysis, including bibliometric analysis aimed at mapping development and publications field logistics. PRISMA method was applied select relevant sources, while qualitative content for in-depth evaluation studies’ most frequently covered theoretical areas. results show logistics focuses diverse areas, such as digital transformation, sustainability environmental aspects, process optimization within supply chains, human-machine interaction. provides valuable insights experts practitioners serves a foundation further dynamically evolving area.

Language: Английский

Overview of Current Research on Artificial Intelligence in Logistics DOI Creative Commons

Patrik Boršoša,

Gabriel Koman

Logi, Journal Year: 2025, Volume and Issue: 16(1), P. 13 - 24

Published: Jan. 1, 2025

Abstract This article aims to provide an overview of the current state research on artificial intelligence in logistics, focusing identifying key thematic areas addressed by authors this field. The analyzes specific that are subject individual studies dealing with issue. Various methodological approaches were used analysis, including bibliometric analysis aimed at mapping development and publications field logistics. PRISMA method was applied select relevant sources, while qualitative content for in-depth evaluation studies’ most frequently covered theoretical areas. results show logistics focuses diverse areas, such as digital transformation, sustainability environmental aspects, process optimization within supply chains, human-machine interaction. provides valuable insights experts practitioners serves a foundation further dynamically evolving area.

Language: Английский

Citations

0