Abstract
Based on an in-depth survey of the literature, the purpose of the paper is to explore cloud-based cyber-physical manufacturing systems. Using and replicating data from Comp TIA, Deloitte, and McAfee, I performed analyses and made estimates regarding cloud-based applications in use (%), new/improved skills needed for cloud solutions (%), sources for procurement/management of cloud-based applications (%), and changes to IT function during cloud adoption (%). Data were analyzed using structural equation modeling. JEL Codes: E24; J21; J54; J64.
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Rommer, D. (2020). Artificial intelligence-based decision-making algorithms, industrial big data, and smart connected sensors in cloud-based cyber-physical manufacturing systems. Economics, Management, and Financial Markets, 15(1), 40–46. https://doi.org/10.22381/EMFM15120203
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