Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research
Directions
Summary:
Today, supply chain management is crucial to the functioning of the global economy. Recent events,
such as the ongoing epidemic, have caused more uncertainty in the supply chain. By combining intrinsic
(such port delays and container shortages) and extrinsic (like component shortages and demand spikes)
factors, supply chain management has become more uncertain, which has raised the importance of
BDA. Through a number of methods, such as adjusting to changes in client preferences, improving
visibility, and improving resilience, BDA considerably improves SCM's efficiency. Because of this, interest
in BDA in SCM is growing among both academics and practitioners (surge in research publications). An
interdisciplinary approach is necessary to gain a deeper understanding, exactly like in the case study in
the SCM. An interdisciplinary approach is necessary to gain a deeper understanding, exactly like in the
research study in the SCM field. Big data analytics has been extensively used in a variety of corporate
tasks, including operations, marketing, supply chain management, and accounting. Due to recent
developments in machine learning and computing infrastructure, big data analytics in the supply chain
are currently gaining significance.
. In view of the increased curiosity in and dynamic nature of supply chains' big data analytics, this study
offers a thorough examination of prior big data analytics studies. An interdisciplinary approach for a
thorough literature assessment is presented in this study. This study examines the theories and
conceptual frameworks that explain the viability and results gained through the use of big data analytics.
Next, this study explores various big data analytics techniques from a technology perspective, where
Due to its wide-ranging effects on the company and the wider environment, sustainability in SCM is an
important topic to take into account. Our study draws attention to the theories that have been used to
earlier sustainability studies, including the stakeholder theory. Given that SCM is inherently interorganizational, further study can concentrate on the role of BDA in such contexts for present and future.i
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Lee, I., & Mangalaraj, G. (2022). Big Data Analytics in Supply Chain Management: A Systematic Literature Review
and Research Directions. Big Data and Cognitive Computing, 6(1), 17. https://doi.org/10.3390/bdcc6010017