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ABSTRACT. The purpose of this study was to empirically examine networked, smart, and responsive devices in big data-driven manufacturing. Building our argument by drawing on data collected from CompTIA, KPMG, McKinsey, PAC, and PwC, we performed analyses and made estimates regarding challenges regarding smart factory initiatives. The structural equation modeling technique was used to test the research model.
JEL codes: E24; J21; J54; J64

Keywords: networked; smart; responsive; device; big data; manufacturing

How to cite: Dawson, J., Bogdan, A., Popescu, C. K., and Curteanu, A. B. (2020). “Networked, Smart, and Responsive Devices in Big Data-driven Manufacturing,” Journal of Self-Governance and Management Economics 8(2): 7–13. doi:10.22381/JSME8220201

Received 7 March 2020 • Received in revised form 12 June 2020
Accepted 14 June 2020 • Available online 23 June 2020

John Dawson
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The Cognitive Labor Institute,
New York City, NY, USA
(corresponding author)
Alexandru Bogdan
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The Bucharest University of Economic Studies, Romania
Catalin Kanty Popescu
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The Bucharest University of Economic Studies, Romania
Adrian Bogdan Curteanu
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The Bucharest University of Economic Studies, Romania

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