Integrating Blockchain and AI Analytics for Intelligent Supply Chain Transparency: Implications for Cost Efficiency, Resilience, and Firm Value
Abstract
The growing complexity and instability of global supply chains has intensified companies' need for resilience, efficiency, and transparency. Blockchain technology has emerged as a digital infrastructure that improves supply chain transparency through end-to-end traceability, real-time transparency, and data immutability. However, limited and reliable data is available on how blockchain-based supply chain openness contributes to long-term business value. To address this gap, this study analyzes how supply chain resilience and cost efficiency act as mediating processes, determining the impact of transparency in blockchain-based supply chains on business value. The study uses a quantitative approach, drawing on data from a survey of 150 executives in the manufacturing, logistics, consumer goods, agriculture, and import/export sectors. PLS-SEM is used to test the theory and the proposed mediating effects. The results demonstrate that blockchain-based supply chain transparency significantly increases the resilience and economic efficiency of the supply chain. Furthermore, improved cost efficiency has a substantial impact on business value and is a crucial factor in the transparency-value relationship. On the other hand, supply chain resilience has only a minimal direct impact on business value, suggesting it is more of a support function than a direct value creator. These findings extend existing research by highlighting the processes that generate business value through blockchain-based transparency and provide management recommendations for aligning blockchain investments with cost control and strategic value creation.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 January 2026
- Document type
- Dataset