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ABSTRACT. Employing recent research results covering cyber-physical system-based smart factories, and building our argument by drawing on data collected from Accenture, CompTIA, Omdia, and PwC, we performed analyses and made estimates regarding development programs which govern the flow of data through the digital production development lifecycle. Structural equation modeling was used to analyze the collected data.
JEL codes: E24; J21; J54; J64

Keywords: artificial intelligence; cyber-physical system; smart factory; big data

How to cite: Clark, A., Zhuravleva, N. A., Siekelova, A, and Frajtova Michalikova, K. (2020). “Industrial Artificial Intelligence, Business Process Optimization, and Big Data-driven Decision-Making Processes in Cyber-Physical System-based Smart Factories,” Journal of Self-Governance and Management Economics 8(2): 28–34. doi:10.22381/JSME8220204

Received 5 March 2020 • Received in revised form 17 June 2020
Accepted 18 June 2020 • Available online 23 June 2020

Ann Clark
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The Big Data Analytics Research Unit
at ISBDA, Dublin, Ireland
(corresponding author)
Natalia A. Zhuravleva
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Faculty of Economics and Management,
Department of Transport Economics,
Emperor Alexander I St. Petersburg
State Transport University, St. Petersburg, Russia
Anna Siekelova
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Department of Economics,
Faculty of Operation and Economics
of Transport and Communications,
University of Zilina, Zilina, Slovak Republic
Katarina Frajtova Michalikova
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic

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