ABSTRACT. Employing recent research results covering Internet of Things-based real-time production logistics, and building our argument by drawing on data collected from Catapult, Deloitte, MHI, PwC, SME, Software AG, and ZDNet, we performed analyses and made estimates regarding the relationship between industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes. Structural equation modeling was used to analyze the collected data.
JEL Codes: E24; J21; J54; J64
Keywords: artificial intelligence; big data; production; logistics; Industry 4.0
How to cite: Davis, R., Vochozka, M., Vrbka, J., and Neguriță, O. (2020). “Industrial Artificial Intelligence, Smart Connected Sensors, and Big Data-driven Decision-Making Processes in Internet of Things-based Real-Time Production Logistics,” Economics, Management, and Financial Markets 15(3): 9–15. doi:10.22381/EMFM15320201
Received 6 July 2020 • Received in revised form 6 September 2020
Accepted 8 September 2020 • Available online 9 September 2020