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Prioritizing the Barriers and Challenges of Big Data Analytics in Logistics and Supply Chain Management Using MCDM Method
| Content Provider | Scilit |
|---|---|
| Author | Keshavarz-Ghorabaee, Mehdi Amiri, Maghsoud Hashemi-Tabatabaei, Mohammad Ghahremanloo, Mohammad |
| Copyright Year | 2020 |
| Description | In recent years, given the ever-increasing technological advancements and emergence of virtual business markets, thousands of transactions are taking place through internet networks, leading to generation of large amounts of information in short periods of time. The produced information includes numbers, figures, images, files, financial calculations, and more. This information, which includes both structured and unstructured data, is referred to as Big Data (BD). While BD may create infrastructural and computational challenges for various organizations, but at the same time, if we properly store and analyze them, they can contribute to the growth and excellence of the organization. BD analytics (BDA) has many advantages over traditional database management. Lack of information in various manufacturing and service areas has been one of the major challenges for various organizations over the years. By using BDA, organizations can improve their performance and ultimately gain competitive advantages. In the management of the supply chain of large organizations and companies, the flow of information is also large. Information of transactions and activities that are performed throughout the supply chain is invaluable for business owners. This information can help them in future decisions on issues such as demand forecasting, production planning, and so on. In this chapter, we examine the barriers and challenges of BD analysis in supply chain management. These barriers and limitations are identified using experts' opinions and reviewing the literatures. Then, we determine their significances using multicriteria decision-making method. The results of the study reveal the problems and issues that organizations and companies face in analyzing BD and identify the most important factors. The study also shows that organizations can achieve competitive advantage by employing appropriate strategies and removing barriers. Book Name: Big Data Analytics in Supply Chain Management |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9780367816384-3&type=chapterpdf |
| Ending Page | 43 |
| Page Count | 15 |
| Starting Page | 29 |
| DOI | 10.1201/9780367816384-3 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-12-17 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Big Data Analytics in Supply Chain Management Geological Engineering Immunology Decision Making Barriers and Challenges Chain Management Management of the Supply Chain Competitive Advantages |
| Content Type | Text |
| Resource Type | Chapter |
