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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 industry, %), 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.
JEL codes: E24; J21; J54; J64

Keywords: Industry 4.0; smart manufacturing; Internet of Things; artificial intelligence

How to cite: Hodgkins, Stacy (2020). “Cyber-Physical Production Networks: Artificial Intelligence Data-driven Internet of Things Systems, Smart Manufacturing Technologies, and Real-Time Process Monitoring,” Journal of Self-Governance and Management Economics 8(1): 114–120. doi:10.22381/JSME8120204

Received 15 January 2020 • Received in revised form 17 March 2020
Accepted 19 March 2020 • Available online 28 March 2020

Stacy Hodgkins
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Data-driven Automated Decision-Making
at CLI, Sydney, Australia

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