Big data and predictive analysis is key to superior supply chain performance: A south african experience

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48 Citations (Scopus)

Abstract

The study considers samples from the South African engineering companies who are strategic suppliers to mining and minerals industry and further explores the uncertainties persisting in the supply chain network. Further investigation was done to understand the role of big data and predictive analysis (BDPA) in managing the supply uncertainties. The paper finally uses partial least square regression analysis to study the relationship among buyer-supplier relationship, big data and predictive analysis and supply chain performance. The analysis supported the second and third hypothesis. Therefore, it is established that firstly, there is a positive relationship between big data, predictive analysis and supply chain performance and secondly, there is a positive relationship between and big data, predictive analysis and buyer-supplier relationship. The study is a unique contribution to the current literature by shedding light on the practical problems persisting in the South African context.

Original languageEnglish
Pages (from-to)66-84
Number of pages19
JournalInternational Journal of Information Systems and Supply Chain Management
Volume10
Issue number2
DOIs
Publication statusPublished - 1 Apr 2017
Externally publishedYes

Keywords

  • Big Data and Predictive Analysis (BDPA)
  • Engineering to Order Companies
  • Risks
  • South Africa
  • Supply Chain Performance
  • Supply Uncertainty

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems

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