Supply Chain Management and Logistics Big Data Challenges in Bulgaria

Nikolay Dragomirov, L. Boyanov
{"title":"Supply Chain Management and Logistics Big Data Challenges in Bulgaria","authors":"Nikolay Dragomirov, L. Boyanov","doi":"10.2478/logi-2021-0016","DOIUrl":null,"url":null,"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.","PeriodicalId":344559,"journal":{"name":"LOGI – Scientific Journal on Transport and Logistics","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"LOGI – Scientific Journal on Transport and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/logi-2021-0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

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.
保加利亚的供应链管理和物流大数据挑战
本文重点介绍了保加利亚将大数据方法应用于物流和供应链管理的挑战,同时也从更广泛的角度提出了挑战、机遇和问题。这包括对物流中的大数据及其子系统与集成和转换过程的回顾,以及大数据和相关技术在供应链管理中的作用。研究保加利亚公司的研究框架侧重于他们的经验,包括积极的和消极的,与大数据。使用电子问卷收集数据。受访者来自小型、中型和大型企业。结果展示和解释了企业对大数据的经验和应用水平。调查结果显示,大数据应用的主要领域是订单处理、沟通流程、报告系统、库存管理和车辆数据库管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信