Internet of things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable industry 4.0

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Abstract

This article presents an empirical study carried out to evaluate and analyze Internet of Things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable Industry 4.0. Building our argument by drawing on data collected from Algorithmia, BCG, Deloitte, the Economist Intelligence Unit, Management Events, McKinsey, Ovum, PwC, and Techconsult, we performed analyses and made estimates regarding inter-connected data processing in smart manufacturing and business analytics. Data collected from 6,200 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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Nica, E., & Stehel, V. (2021). Internet of things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable industry 4.0. Journal of Self-Governance and Management Economics, 9(3), 35–47. https://doi.org/10.22381/jsme9320213

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