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