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ABSTRACT. Empirical research provides mixed results regarding big data analytics in Industry 4.0. The data used for this study was obtained and replicated from previous research conducted by BDO, Capgemini, CIO, Deloitte, EY, McKinsey, OSF, and PwC. We performed analyses and made estimates regarding manufacturers who have an ongoing smart factory initiative (%), importance of big data and public sector open data for enterprises’ business activity (%), and trends regarding new business models that exploit opportunities (%). The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 5,700 respondents.
JEL codes: E24; J21; J54; J64

Keywords: big data analytics; Industry 4.0; sustainable industrial value creation

How to cite: Gradeck, Jaime, Octav Neguriță, Iulia Grecu, and Gheorghe Grecu (2019). “Big Data Analytics in Industry 4.0: Sustainable Industrial Value Creation, Manufacturing Process Innovation, and Networked Production Structures,” Journal of Self-Governance and Management Economics 7(3): 34–40. doi:10.22381/JSME7320195

Received 4 April 2019 • Received in revised form 1 August 2019
Accepted 7 August 2019 • Available online 5 September 2019

Jaime Gradeck
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The Innovative Sustainable Business Models
Research Unit at CLI, Melbourne, Australia
Octav Neguriță
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Spiru Haret University, Constanța, Romania
Iulia Grecu
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Spiru Haret University, Constanța, Romania
Gheorghe Grecu
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Spiru Haret University, Constanța, Romania

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