Product Decision-Making Information Systems, Real-Time Sensor Networks, and Artificial Intelligence-driven Big Data Analytics in Sustainable Industry 4.0
Andrej Novak et al.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
Keywords: sustainable Industry 4.0; artificial intelligence; big data analytics
How to cite: Novak, A., Bennett, D., and Kliestik, T. (2021). “Product Decision-Making Information Systems, Real-Time Sensor Networks, and Artificial Intelligence-driven Big Data Analytics in Sustainable Industry 4.0,” Economics, Management, and Financial Markets 16(2): 62–72. doi: 10.22381/emfm16220213.
Received 14 January 2021 • Received in revised form 15 June 2021
Accepted 19 June 2021 • Available online 25 June 2021