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ABSTRACT. Empirical evidence on cyber-physical system-based manufacturing has been scarcely documented in the literature. Using and replicating data from Capgemini, Deloitte, Globant, McKinsey, MHI, PwC, and SME, we performed analyses and made estimates regarding the relationship between industrial big data, automated production systems, and Internet of Things sensing networks. Data were analyzed using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: big data; Internet of Things; automated production system; Industry 4.0

How to cite: Popescu, G. H., Zvarikova, K., Machova, V., and Mihai, E.-A. (2020). “Industrial Big Data, Automated Production Systems, and Internet of Things Sensing Networks in Cyber-Physical System-based Manufacturing,” Journal of Self-Governance and Management Economics 8(3): 30–36. doi:10.22381/JSME8320204

Received 7 July 2020 • Received in revised form 6 September 2020
Accepted 8 September 2020 • Available online 9 September 2020

Gheorghe H. Popescu
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The Center for Applied Macroeconomic Analysis
at AAER, New York City, NY, USA;
Dimitrie Cantemir Christian University, Bucharest, Romania
(corresponding author)
Katarina Zvarikova
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Veronika Machova
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Faculty of Business Administration,
University of Economics,
Prague, Czech Republic
Eleodor-Alin Mihai
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University of Craiova, Romania

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