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ABSTRACT. This article reviews and advances existing literature concerning big data-driven smart manufacturing. Using and replicating data from AMG World, Deloitte, European Business Summit, Forbes, KSM, McKinsey, PwC, SME, and World Economic Forum, we performed analyses and made estimates regarding most powerful benefits of smart manufacturing (%) and drivers of technological change, industries overall (%). Data were analyzed using structural equation modeling.
JEL Codes: E24; J21; J54; J64

Keywords: big data; smart manufacturing; production process; sensor network

How to cite: Kovacova, Maria, Chloe Segers, Milos Tumpach, and Lucia Michalkova (2020). “Big Data-driven Smart Manufacturing: Sustainable Production Processes, Real-Time Sensor Networks, and Industrial Value Creation,” Economics, Management, and Financial Markets 15(1): 54–60. doi:10.22381/EMFM15120205

Received 8 January 2020 • Received in revised form 20 March 2020
Accepted 22 March 2020 • Available online 28 March 2020

Maria Kovacova
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Chloe Segers
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The Institute of Smart Big Data Analytics,
New York City, NY, USA
(corresponding author)
Milos Tumpach
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Faculty of Economic Informatics
University of Economics in Bratislava, Slovak Republic
Lucia Michalkova
This email address is being protected from spambots. You need JavaScript enabled to view it.
Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic

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