ABSTRACT. Despite the relevance of the relationship between smart logistics and data-driven decision-making processes, only limited research has been conducted on this topic. Using and replicating data from AMG World, The Boston Consulting Group, Deloitte, KSM, MIT Sloan Management Review, PwC, and SME, I performed analyses and made estimates regarding how manufacturers are addressing smart manufacturing (%), adoption level of artificial intelligence in organizations (%), and manufacturing modernization priorities (%). The results of a study based on data collected from 4,200 respondents provide support for my research model. Using the structural equation modeling and employing the probability sampling technique, I gathered and analyzed data through a self-administrated questionnaire.
JEL Codes: E24; J21; J54; J64

Keywords: smart logistics; big data; cyber-physical manufacturing system

How to cite: Sheares, Gavin (2020). “Smart Logistics and Data-driven Decision-Making in Cyber-Physical Manufacturing Systems,” Economics, Management, and Financial Markets 15(1): 33–39. doi:10.22381/EMFM15120202

Received 11 January 2020 • Received in revised form 16 March 2020
Accepted 24 March 2020 • Available online 28 March 2020

Gavin Sheares
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Cyber-Physical Smart Manufacturing Systems Research Unit
at CLI, Melbourne, Australia

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