ABSTRACT. I draw on a substantial body of theoretical and empirical research on sustainable Industry 4.0, and to explore this, I inspected, used, and replicated survey data from Capgemini, CompTIA, IW Custom Research, Kronos, and PAC, performing analyses and making estimates regarding technologies that are important for smart factories. Structural equation modeling was used to analyze the data and test the proposed conceptual model.
JEL Codes: E24; J21; J54; J64

Keywords: artificial intelligence; Internet of Things; sustainable; Industry 4.0

How to cite: Dobson-Lohman, E. (2020). “Artificial Intelligence-based Decision-Making Algorithms, Internet of Things Smart Devices, and Real-Time Process Monitoring in Sustainable Industry 4.0,” Economics, Management, and Financial Markets 15(2): 30–36. doi:10.22381/EMFM15220204

Received 8 March 2020 • Received in revised form 18 June 2020
Accepted 19 June 2020 • Available online 23 June 2020

Elizabeth Dobson-Lohman
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Cognitive Decision-Making Algorithms
at ISBDA, Vancouver, Canada

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