Challenges in Adopting Artificial Intelligence Technologies inSupply Chain Management in Romanian Companies

This study explores the adoption and impact of Artificial Intelligence (AI) in supply chain management (SCM) within Romanian companies, focusing on its transformative role in enhancing operational efficiency, decision-making, and resilience. Using a qualitative research approach, data were collected through focus group discussions with industry experts from diverse sectors, including telecommunications, agriculture, retail, and technology services. The findings reveal varied levels of AI adoption, highlighting its benefits in demand forecasting, inventory optimization, and logistics management. Key challenges identified include high implementation costs, data quality issues, and ethical concerns related to data privacy and algorithmic transparency. The study also emphasizes the critical role of robust data governance and regulatory compliance in successful AI integration. Emerging trends, such as AI-driven sustainability initiatives and integration with blockchain technology, are discussed. This research contributes to the academic discourse on digital transformation, offering practical insights for organizations seeking to leverage AI for competitive advantage.

Publication Details

Journal
Review of International Comparative Management
Published
2025-03-01
DOI
https://doi.org/10.24818/rmci.2025.1.207
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Challenges in Adopting Artificial Intelligence Technologies inSupply Chain Management in Romanian Companies

Review of International Comparative Management
Transport and Logistics Innovations
article

Challenges in Adopting Artificial Intelligence Technologies inSupply Chain Management in Romanian Companies

article en

Abstract

This study explores the adoption and impact of Artificial Intelligence (AI) in supply chain management (SCM) within Romanian companies, focusing on its transformative role in enhancing operational efficiency, decision-making, and resilience. Using a qualitative research approach, data were collected through focus group discussions with industry experts from diverse sectors, including telecommunications, agriculture, retail, and technology services. The findings reveal varied levels of AI adoption, highlighting its benefits in demand forecasting, inventory optimization, and logistics management. Key challenges identified include high implementation costs, data quality issues, and ethical concerns related to data privacy and algorithmic transparency. The study also emphasizes the critical role of robust data governance and regulatory compliance in successful AI integration. Emerging trends, such as AI-driven sustainability initiatives and integration with blockchain technology, are discussed. This research contributes to the academic discourse on digital transformation, offering practical insights for organizations seeking to leverage AI for competitive advantage.

Review of International Comparative Management(Vol. 26 No. 1 / 2025)
Openalex Percentile: Top 81%
Transport and Logistics Innovations
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Challenges in Adopting Artificial Intelligence Technologies inSupply Chain Management in Romanian Companies · Review of International Comparative Management (2025) | TGRS Research Map | TGRS