On the necessity to rethink fundamental principles of goods movement and distribution in current conditions

In the context of rapid digitalization and growing consumer expectations, traditional models of goods movement demonstrate their inefficiency, requiring a fundamental reassessment. The present study is devoted to analyzing the transformation of logistics and distribution chains under the influence of innovative technologies and changing market demands. The authors employ a comprehensive approach, examining the implementation of artificial intelligence and machine learning to optimize demand forecasting and transport management, the use of blockchain to enhance transparency and transaction security, the development of the Internet of Things (IoT) for real-time monitoring, as well as the robotization of warehousing and transport processes. Special attention is paid to analyzing the impact of environmental requirements, the need to increase the resilience of supply chains to external shocks.

Authors

Institutions

Publication Details

Journal
OOO Zhurnal Voprosy Istorii
Published
2025-07-20
DOI
https://doi.org/10.31166/voprosyistorii202508statyi11
Primary Topic
Economic Systems and Logistics Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the necessity to rethink fundamental principles of goods movement and distribution in current conditions

Marsel Imamov, Natalia Semenikhina
OOO Zhurnal Voprosy Istorii
Economic Systems and Logistics Management
article

On the necessity to rethink fundamental principles of goods movement and distribution in current conditions

Marsel Imamov, Natalia Semenikhina
article en

Abstract

In the context of rapid digitalization and growing consumer expectations, traditional models of goods movement demonstrate their inefficiency, requiring a fundamental reassessment. The present study is devoted to analyzing the transformation of logistics and distribution chains under the influence of innovative technologies and changing market demands. The authors employ a comprehensive approach, examining the implementation of artificial intelligence and machine learning to optimize demand forecasting and transport management, the use of blockchain to enhance transparency and transaction security, the development of the Internet of Things (IoT) for real-time monitoring, as well as the robotization of warehousing and transport processes. Special attention is paid to analyzing the impact of environmental requirements, the need to increase the resilience of supply chains to external shocks.

OOO Zhurnal Voprosy Istorii
Kazan Federal University (RU), Kazan Innovative University named after V. G. Timiryasov (RU)
Openalex Percentile: Top 69%
Economic Systems and Logistics Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On the necessity to rethink fundamental principles of goods movement and distribution in current conditions — Marsel Imamov, Natalia Semenikhina · OOO Zhurnal Voprosy Istorii (2025) | TGRS Research Map | TGRS