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ABSTRACT. This research investigates resilient cyber-physical systems and big data architectures in Industry 4.0. Building our argument by drawing on data collected from BCG, Business Insider, Deloitte, Gartner, IDC, PwC, and Statista, we performed analyses and made estimates regarding Industry 4.0 framework and contributing digital technologies (%), spending on Internet of Things worldwide by vertical in 2015 and 2020 (in billion U.S. dollars), technology developments that enable Service 4.0 (%), Internet of Things security spending worldwide (2016–2021, by segment, in million U.S. dollars), and awareness and usage of smartphone applications featuring machine learning (%). The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 3,800 respondents.
JEL codes: E24; J21; J54; J64

Keywords: big data; smart digital factory; automated production system; resilience

How to cite: Nica, Elvira, Ana-Mădălina Potcovaru, and Roxana Elisabeta Hurdubei (Ionescu) (2019). “Resilient Cyber-Physical Systems and Big Data Architectures in Industry 4.0: Smart Digital Factories, Automated Production Systems, and Innovative Sustainable Business Models,” Economics, Management, and Financial Markets 14(2): 46–51. doi:10.22381/EMFM14220192

Received 12 December 2018 • Received in revised form 15 May 2019
Accepted 16 May 2019 • Available online 1 June 2019

Elvira Nica
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Center for Human Resources and Labor Studies
at AAER, New York City, NY, USA;
The Bucharest University of Economic Studies, Romania
(corresponding author)
Ana-Mădălina Potcovaru
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The Bucharest University of Economic Studies, Romania
Roxana Elisabeta Hurdubei (Ionescu)
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The Bucharest University of Economic Studies, Romania

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