Cyber-physical production networks: Artificial intelligence data-driven internet of things systems, smart manufacturing technologies, and real-time process monitoring

Abstract

The purpose of this study was to empirically examine cyber-physical production networks. Building my argument by drawing on data collected from AMG World, Deloitte, Forrester, PwC, SME, and teknowlogy, I performed analyses and made estimates regarding artificial intelligence application and deployment (by in-dustry, %), top three goals that would drive companies to invest in new manufacturing technologies (%), and how industrial companies are getting closer to customers (%). The structural equation modeling technique was used to test the research model.