ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on cyber-physical smart manufacturing systems. The data used for this study was obtained and replicated from previous research conducted by BCG, Capgemini, DAA, IoT Analytics GmbH, Management Events, and PwC. I performed analyses and made estimates regarding the biggest challenges for organizations to progress toward Industry 4.0 (%), top challenges in formulating smart factory strategy (%), and proportion of categories based on digital maturity across industries (%). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: cyber-physical system; smart manufacturing; big data; sustainability

How to cite: Coatney, Karen (2019). “Cyber-Physical Smart Manufacturing Systems: Sustainable Industrial Networks, Cognitive Automation, and Big Data-driven Innovation,” Economics, Management, and Financial Markets 14(4): 23–29. doi:10.22381/EMFM14420193

Received 22 August 2019 • Received in revised form 5 December 2019
Accepted 8 December 2019 • Available online 15 December 2019

Karen Coatney
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Cognitive Labor Institute,
New York City, NY, USA

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