Supply Chain Management and Logistics Big Data Challenges in Bulgaria

Author:

Dragomirov Nikolay1,Boyanov Luben2

Affiliation:

1. University of National and World Economy , Department of Logistics and Supply Chains , Sofia , Bulgaria

2. University of National and World Economy , Department of Information Technologies and Communications , Sofia , Bulgaria

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Management of Technology and Innovation,Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering,Business and International Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Framework in Supply Chain using Inventory Management, Big Data and Inventory Analytics;2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT);2023-04-08

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