Cutting-Edge Process Monitoring and Data Analytics Systems in Internet of Things-based Real-Time Production Logistics
Malcolm GaffneyABSTRACT. 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 AMG World, The Boston Consulting Group, Deloitte, KSM, MIT Sloan Management Review, PwC, SME, and teknowlogy, I performed analyses and made estimates regarding top five barriers preventing/slowing smart technology (%), effect of automation on the number and skill level of jobs in manufacturing (%), expectations for artificial intelligence adoption across industries (impact on offerings, %), significance of data and analysis competences in the context of Industry 4.0 (%), and retailers planning to invest in artificial intelligence and Internet of Things technologies (%). The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,200 respondents.
JEL codes: E24; J21; J54; J64
Keywords: big data analytics; Internet of Things; real-time production logistics
How to cite: Gaffney, Malcolm (2020). “Cutting-Edge Process Monitoring and Data Analytics Systems in Internet of Things-based Real-Time Production Logistics,” Journal of Self-Governance and Management Economics 8(1): 100–106. doi:10.22381/JSME8120202
Received 12 January 2020 • Received in revised form 14 March 2020
Accepted 17 March 2020 • Available online 28 March 2020