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Supply Chain Management and Logistics Big Data Challenges in Bulgaria

Author

Listed:
  • Dragomirov Nikolay

    (University of National and World Economy, Department of Logistics and Supply Chains, Sofia, Bulgaria)

  • Boyanov Luben

    (University of National and World Economy, Department of Information Technologies and Communications, Sofia, Bulgaria)

Abstract

The article focuses on the challenges of applying big data approaches to logistics and supply chain management in Bulgaria, while also presenting the challenges, opportunities and problems from a broader perspective. This includes a review of big data in logistics and its subsystems in relation to integration and transformation processes, as well as the role of big data and the relevant technologies in supply chain management. The research framework for the study of Bulgarian companies focuses on their experiences, both positive and negative, with big data. Data was collected using an electronic questionnaire. The respondents were from small, medium-sized and large companies alike. The results demonstrate and explain the companies’ experiences with big data and the level of application thereof. The findings showed that the main areas for the use of big data are order processing, communication processes, reporting systems, inventory management and vehicle database management.

Suggested Citation

  • Dragomirov Nikolay & Boyanov Luben, 2021. "Supply Chain Management and Logistics Big Data Challenges in Bulgaria," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 12(1), pages 171-181, January.
    • Handle: RePEc:vrs:logitl:v:12:y:2021:i:1:p:171-181:n:7
    DOI: 10.2478/logi-2021-0016
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    4. Nishikant Mishra & Akshit Singh, 2018. "Use of twitter data for waste minimisation in beef supply chain," Annals of Operations Research, Springer, vol. 270(1), pages 337-359, November.
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    Keywords

    Logistics; SCM; big data;
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