A Unified Framework for Intelligent Logistics: Integrating Blockchain-AI Systems with Mobile Pedagogical Support

Irina Nozdreva; Vera Popova; Svetlana Sivakova

doi:10.3991/ijim.v20i09.61495

Authors

Irina Nozdreva Financial University under the Government of the Russian Federation, Moscow, Russia https://orcid.org/0000-0002-3834-9430
Vera Popova Financial University under the Government of the Russian Federation, Moscow, Russia https://orcid.org/0009-0002-1742-3520
Svetlana Sivakova Financial University under the Government of the Russian Federation, Moscow, Russia https://orcid.org/0000-0001-6638-8229

DOI:

https://doi.org/10.3991/ijim.v20i09.61495

Keywords:

Blockchain, Artificial Intelligence, Mobile Learning, Logistics, Technology Acceptance, Operational Efficiency, Socio-technical Systems, Supply Chain Management

Abstract

This study looks at how combining blockchain-AI systems with mobile learning support can improve efficiency, technology acceptance, and learning in logistics. Over 12 months, 132 organizations and 396 learners took part in one of four groups: control, technology-only, mobile learning-only, or the integrated framework. Researchers used repeated-measures MANOVA, factorial ANOVA, mediation analysis, and qualitative thematic analysis to analyse the data. The integrated framework led to significant operational improvements (27.6%–84.2%), always beating the 25% performance benchmark. Technology acceptance was much higher in the integrated group (d = 0.82–1.02), and perceived usefulness accounted for 55.8% of the relationship between learning engagement and system adoption. A factorial ANOVA showed a 13.5% synergy effect, indicating that the combined approach performed better than the individual parts alone. This effect was strongest in SMEs. Qualitative results showed that simulation and just-in-time support helped build confidence. Overall, these findings support a socio-technical approach and show that integrating mobile learning into digital systems is key to realizing the full potential of new supply chain technologies. The study provides a scalable way for organizations to close the implementation gap in digital logistics.

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