Critical analysis of Big Data challenges and analytical methods
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In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
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Towards sustainable industrialization using big data and internet of things
TL;DR: In this article, the authors proposed the big data and IoT role in the industrial sector and evaluated its performance by analyzing the impacts of the Big Data and the internet of things in the industry to have sustainability in production process.
Journal ArticleDOI
Big data-enabled large-scale group decision making for circular economy: An emerging market context
TL;DR: The findings of the study indicate a four-step design to implement the 10R's of the circular economy through emerging technologies such as big data and related mobile applications along with cloud-based platforms.
Proceedings ArticleDOI
The Role of Machine Learning in Drilling Operations; A Review
C. I. Noshi,Jerome Schubert +1 more
TL;DR: This paper summarizes data analytics case studies, workflows, and lessons learnt that would allow field personnel, engineers, and management to quickly interpret trends, detect failure patterns in operations, diagnose problems, and execute remedial actions to monitor and safeguard operations.
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How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic
TL;DR: In this paper, the authors identified risks associated with purchasing and supply chain management by using a hypothetical model to achieve supply chain resilience through big data analytics, which was tested by using the partial least squares structural equation modeling (PLS-SEM) technique on the primary data collected from the manufacturing industries.
Journal ArticleDOI
Classification of small-and medium-sized enterprises based on the level of industry 4.0 implementation
Martin Pech,Jaroslav Vrchota +1 more
TL;DR: In this article, the authors classify small and medium-sized enterprises into various groups, according to the level of implementation of Industry 4.0, using the Index of Industry4.0.
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