ABSTRACT. Despite the relevance of artificial intelligence data-driven Internet of Things systems, real-time advanced analytics, and cyber-physical production networks in sustainable smart manufacturing, only limited research has been conducted on this topic. Using and replicating data from BCG, Capgemini, CompTIA, Deloitte, Eclipse Foundation, The Economist Intelligence Unit, MHI, PAC, Siemens, SME, Software AG, and we.CONECT, we performed analyses and made estimates regarding big data-driven decision-making processes in cyber-physical system-based smart factories. The results of a study based on data collected from 4,800 respondents provide support for our research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64
Keywords: Internet of Things; smart manufacturing; artificial intelligence
How to cite: Durana, P., Perkins, N., and Valaskova, K. (2021). “Artificial Intelligence Data-driven Internet of Things Systems, Real-Time Advanced Analytics, and Cyber-Physical Production Networks in Sustainable Smart Manufacturing,” Economics, Management, and Financial Markets 16(1): 20–30. doi: 10.22381/emfm16120212.
Received 12 January 2021 • Received in revised form 11 March 2021
Accepted 14 March 2021 • Available online 20 March 2021