Product Decision-Making Information Systems, Real-Time Sensor Networks, and Artificial Intelligence-driven Big Data Analytics in Sustainable Industry 4.0
Product Decision-Making Information Systems, Real-Time Sensor Networks, and Artificial Intelligence-driven Big Data Analytics in Sustainable Industry 4.0
Author(s): Andrej Novák, Daniel Bennett, Tomáš KlieštikSubject(s): Business Economy / Management, Energy and Environmental Studies, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: sustainable Industry 4.0; artificial intelligence; big data analytics;
Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore product decision-making information systems, real-time sensor networks, and artificial intelligence-driven big data analytics in sustainable Industry 4.0. Using and replicating data from BCG, BDO, Capgemini, Management Events, PAC, and PwC, we performed analyses and made estimates regarding production network performance. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.JEL codes: E24; J21; J54; J64
Journal: Economics, Management, and Financial Markets
- Issue Year: 16/2021
- Issue No: 2
- Page Range: 62-72
- Page Count: 11
- Language: English
- Content File-PDF
