Journal ArticleOpen Access
Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh
Author Affiliations
University of Dhaka, Bangladesh University of Engineering and Technology, University of Technology Sydney
Published InComputers & Industrial Engineering
Year2018
Citations193
Abstract
Recently, big data (BD) has attracted researchers and practitioners due to its potential usefulness in decision-making processes. Big data analytics (BDA) is becoming increasingly popular among manufacturing companies as it helps gain insights and make decisions based on BD. However, there many barriers to the adoption of BDA in manufacturing supply chains. It is therefore necessary for manufacturing companies to identify and examine the nature of each barrier. Previous studies have mostly built conceptual frameworks for BDA in a given situation and have ignored examining the nature of the barriers to BDA. Due to the significance of both BD and BDA, this research aims to identify and examine the critical barriers to the adoption of BDA in manufacturing supply chains…
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Fields & Keywords
Social SciencesBusiness, Management and AccountingManagement Information SystemsBig Data and Business IntelligenceForecasting Techniques and ApplicationsData Quality and ManagementProcess managementKnowledge managementIndustrial organizationMarketingData scienceOperations researchPaleontologyOperating systemArtificial intelligence