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Digital Technologies in Logistics Services for the Agri-Food Sector: A Comparison of Poland and Lithuania Cover

Digital Technologies in Logistics Services for the Agri-Food Sector: A Comparison of Poland and Lithuania

Open Access
|Dec 2025

Figures & Tables

Comparison of logistic regression results for the Polish and Lithuanian samples

VariableOR (PL)95% CI (PL)p (PL)OR (LT)95% CI (LT)p (LT)
Average assessment of barriers0.600.41–0.89< 0.010.5760.0767–4.3220.591
Large enterprise status2.151.00–4.62< 0.051.9040.4698–7.7160.367

Comparison of technology adoption levels (LTAI) between SMEs and large enterprises

CountryCategoryLTAI meanUp value
PolandSmall and medium-sized0.271306.0.007
Large0.591
LithuaniaSmall and medium-sized0.041259.5.118
Large0.048

Results of χ2 significance tests for comparing the use of logistics technologies in Poland and Lithuania

Technologyχ2p value
Smart cargo tracking10.50.0012
Intelligent vehicle technology38.47< .0001
Data analytics & predictive29.10< .0001
IoT supply-chain tracking14.25.0002
e-CMR5.93.015

Smart technologies use in food logistics

Smart technologyKey applications in food logisticsBenefits
Blockchain
  • – product traceability from farm to fork

  • – secure digital records

  • – fraud prevention

  • – transparency

  • – trust & compliance

  • – quick recalls

Internet of Things (IoT)
  • – real–time tracking of temperature, humidity, and location

  • – monitoring storage and transport conditions

  • – reduces spoilage

  • – Ensures cold chain integrity

Big data analytics
  • – demand forecasting

  • – route optimization

  • – risk assessment for food safety

  • – reduces waste

  • – informed decisions

  • – cost savings

Cloud computing
  • – centralized data sharing across supply chain

  • – remote access to logistics systems

  • – seamless collaboration

  • – scalability

  • – efficiency

Smart contracts
  • – automated payments based on delivery conditions

  • – enforcing compliance rules

  • – reduces disputes

  • – lowers admin costs

  • – speed

5G connectivity
  • – real–time communication between devices

  • – enhanced IoT data flow

  • – remote monitoring

  • – faster data transfer

  • – reliable operations

Artificial intelligence (AI)
  • – demand forecasting

  • – inventory planning

  • – route optimization

  • – improves decision–making

  • – lowers costs

  • – reduces waste

Drones
  • – monitoring agricultural operations

  • – enabling deliveries in remote areas

  • – enhances operational efficiency

  • – accessibility in rural areas

Digital platforms
  • – redistributing surplus food through charitable or discount platforms

  • – reduces food waste

  • – vsupports social responsibility

  • – enhances logistics

Supply chain digital integration
  • – enabling smooth information flow between suppliers, producers, and customers

  • – improves coordination, responsiveness, and sustainability

Descriptive statistics of the LTAI indicator for Poland and Lithuania

ParameterPolandLithuania
Average LTAI.431.044
Median.500.000
Standard deviation.296.067
DOI: https://doi.org/10.30858/zer/214454 | Journal eISSN: 2392-3458 | Journal ISSN: 0044-1600
Language: English
Page range: 43 - 65
Submitted on: Jun 11, 2025
|
Accepted on: Nov 19, 2025
|
Published on: Dec 22, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Mariusz Pyra, Jurgita Pauzuoliene, Ieva Kavecke, published by The Institute of Agricultural and Food Economics – National Research Institute
This work is licensed under the Creative Commons Attribution 4.0 License.