Source :
Computers and Operations Research
Descriptors :
Literature review , Big data , Big data analytics , Supply chain management , Research directions
Abstract :
The rapidly growing interest from both academics and practitioners in the application of big data ana- lytics (BDA) in supply chain management (SCM) has urged the need for review of up-to-date research development in order to develop a new agenda. This review responds to the call by proposing a novel classification framework that provides a full picture of current literature on where and how BDA has been applied within the SCM context. The classification framework is structurally based on the content analy- sis method of Mayring (2008), addressing four research questions: (1) in what areas of SCM is BDA being applied? (2) At what level of analytics is BDA used in these SCM areas? (3) What types of BDA models are used in SCM? (4) What BDA techniques are employed to develop these models? The discussion tackling these four questions reveals a number of research gaps, which leads to future research directions.
Title of Article :
Big data analytics in supply chain management: A state-of-the-art literature review
Author/Authors :
Truong Nguyen , Li ZHOU , Virginia Spiegler , Petros Ieromonachou , Yong Lin
Author/Authors - جزئيات :
