Big data in supply chain management: An exploratory study Cover Image

Big data in supply chain management: An exploratory study
Big data in supply chain management: An exploratory study

Author(s): Gheorghe Militaru, Massimo Pollifroni, Alexandra Ioanid
Subject(s): Supranational / Global Economy, Business Economy / Management, ICT Information and Communications Technologies
Published by: Fundatia Română pentru Inteligenta Afacerii
Keywords: big data; supply chain; competitive advantage;

Summary/Abstract: The objective of this paper is to set a framework for examining the conditions under which the big data can create long-term profitability through developing dynamic operations and digital supply networks in supply chain. We investigate the extent to which big data analytics has the power to change the competitive landscape of industries that could offer operational, strategic and competitive advantages. This paper is based upon a qualitative study of the convergence of predictive analytics and big data in the field of supply chain management. Our findings indicate a need for manufacturers to introduce analytics tools, real-time data, and more flexible production techniques to improve their productivity in line with the new business model. By gathering and analysing vast volumes of data, analytics tools help companies to resource allocation and capital spends more effectively based on risk assessment. Finally, implications and directions for future research are discussed.

  • Issue Year: 3/2015
  • Issue No: 06
  • Page Range: 103-108
  • Page Count: 6
  • Language: English