ABSTRACT. I develop a conceptual framework based on a systematic and comprehensive literature review on Internet of Things-based real-time production logistics. Building my argument by drawing on data collected from Capgemini, CGI, CompTIA, and PwC, I performed analyses and made estimates regarding how organizations can accelerate and secure their smart factory transformation. The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,600 respondents.
JEL Codes: E24; J21; J54; J64

Keywords: cyber-physical network; big data analytics; Internet of Things; logistics

How to cite: Moore, K. (2020). “Smart Connected Sensors, Cyber-Physical Networks, and Big Data Analytics Systems in Internet of Things-based Real-Time Production Logistics,” Economics, Management, and Financial Markets 15(2): 16–22. doi:10.22381/EMFM15220202

Received 12 March 2020 • Received in revised form 19 June 2020
Accepted 20 June 2020 • Available online 23 June 2020

Kelly Moore
The Center for Artificial Intelligence
Data-driven Internet of Things Systems
at AAER, London, England

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