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Predictive maintenance in the Industry 4.0: A systematic literature review
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …
managers are daily confronted with decision making involving a massive input of data and …
Big data analytics in weather forecasting: A systematic review
Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …
evaluates the alteration happening in the current condition of the atmosphere. Big data …
Application of big data and machine learning in smart grid, and associated security concerns: A review
This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …
learning in the electrical power grid introduced through the emergence of the next …
[HTML][HTML] Big data in agriculture: Between opportunity and solution
CONTEXT Big data applications in agriculture evolve fast, as more experience, applications,
good practices and computational power become available. Actual solutions to real-life …
good practices and computational power become available. Actual solutions to real-life …
Big data: From beginning to future
Big data is a potential research area receiving considerable attention from academia and IT
communities. In the digital world, the amounts of data generated and stored have expanded …
communities. In the digital world, the amounts of data generated and stored have expanded …
Smart city ecosystem: Concept, sustainability, design principles, and technologies
The rapid evolution of smart cities is giving workable solutions to many challenges faced in
urban areas. Information and communication technology (ICT) is playing a very vital role in …
urban areas. Information and communication technology (ICT) is playing a very vital role in …
Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society
This study conducted a comprehensive review of big data supply chain analytics (BDSCA).
The paper explored the application of big data in supply chain management and its benefits …
The paper explored the application of big data in supply chain management and its benefits …
Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model
When supply chain management (SCM) intersects with Big Data Analytics (BDA),
uncountable opportunities for research emerge. Unfortunately, how analytics can be applied …
uncountable opportunities for research emerge. Unfortunately, how analytics can be applied …
Management theory and big data literature: From a review to a research agenda
The purpose of this study is to enrich the existing state-of-the-art literature on the impact of
big data on business growth by examining how dozens of organizational theories can be …
big data on business growth by examining how dozens of organizational theories can be …
More self-organization, more control—or even both? Inverse transparency as a digital leadership concept
Digital innovations drive an organization's digital transformation. While numerous studies
focus on digital product and service innovation, digital process innovation and novel …
focus on digital product and service innovation, digital process innovation and novel …