In the new era of the Internet‐of‐Things, athletic big data collection and analysis based on
widely distributed sensing networks are particularly important in the development of …

Our study examines the literature that has been published in important journals on supply
chain disruptions, a topic that has emerged the last 20 years, with an emphasis in the latest …

Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new
technologies both in treatment of patients and health management. The paper aims at …

With the recent advancements in computer technologies, the amount of data available is
increasing day by day. However, excessive amounts of data create great challenges for …

We are living in an era of big data, where the process of generating data is continuously
been taking place with each coming second. Data that is more varied and extremely …

We discuss the new challenges and directions facing the use of big data and artificial
intelligence (AI) in education research, policy-making, and industry. In recent years …

Big data analytics (BDA), as a new innovation tool, played an important role in hel**
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

The importance of big data analytics, artificial intelligence, and machine learning has been
at the forefront of research for operations and supply chain management. Literature has …

Blockchain appears to still be nascent in its growth and a relatively untapped asset. This
research investigates the need of blockchain in Industry 4.0 environment from Big Data …