It is a widely accepted fact that almost every research or business revolves around Data.
Data from various business sectors has been growing sharply and the management of this …

Circular economy (CE) is a term that exists since the 1970s and has acquired greater
importance in the past few years, partly due to the scarcity of natural resources available in …

This paper investigates big data analytics research and application in supply chain
management between 2010 and 2016 and provides insights to industries. In recent years …

In the era of Big Data, many organisations have successfully leveraged Big Data Analytics
(BDA) capabilities to improve their performance. However, past literature on BDA have put …

Purpose The value of big data in supply chain management (SCM) is typically motivated by
the improvement of business processes and decision-making practices. However, the …

This study determines the potential barriers to achieving circularity in dairy supply chains; it
proposes a framework which covers big data driven solutions to deal with the suggested …

Big data analysis (BDA) can increase the capability of supply chain analysis of
manufacturing companies. Therefore, many manufacturing companies want to use BDA, but …

This paper aims to identify the factors affecting big data analytics (BDA) adoption in the
Malaysian warehousing sector. The technology-organisation-environment (TOE) model …

Purpose This paper aims to analyze how decision support systems manage Big data to
obtain value. Design/methodology/approach A systematic literature review was performed …

As the traditional big data imputation mining process is time-consuming with low efficiency,
in this paper, an incomplete big data imputation mining algorithm based on improved BP …