ABSTRACT. Empirical evidence on artificial intelligence data-driven Internet of Things systems, real-time process monitoring, and sustainable industrial value creation in smart networked factories has been scarcely documented in the literature. Using and replicating data from Economist Intelligence Unit, McKinsey, and World Economic Forum, I performed analyses and made estimates regarding autonomous production networks. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: artificial intelligence; big data analytics; Internet of Things; smart factory

How to cite: Brown, M. (2021). “Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Process Monitoring, and Sustainable Industrial Value Creation in Smart Networked Factories,” Journal of Self-Governance and Management Economics 9(2): 21–31. doi: 10.22381/jsme9220212.

Received 16 January 2021 • Received in revised form 10 June 2021
Accepted 15 June 2021 • Available online 25 June 2021

Matthew Brown
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Cyber-Physical Production Networks
Research Unit at AAER, Wellington, New Zealand

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