ABSTRACT. Employing recent research results covering sensor-based and cognitive assistance systems in Industry 4.0, and building my argument by drawing on data collected from BDO, Deloitte, HIS, IFR, and PwC, I performed analyses and made estimates regarding key impacts of Industry 4.0 at the organizational level (%), top barriers to Industry 4.0 implementation (%), advanced technologies manufacturers are using now (%), and strategies for employee adoption of advanced technologies (%). Structural equation modeling was used to analyze the collected data.
JEL codes: E24; J21; J54; J64

Keywords: Industry 4.0; big data analytics; smart production; value creation

How to cite: Dolan-Canning, Rebecca (2019). “Sensor-based and Cognitive Assistance Systems in Industry 4.0: Big Data Analytics, Smart Production, and Sustainable Value Creation,” Economics, Management, and Financial Markets 14(3): 16–22. doi:10.22381/EMFM14320192

Received 19 March 2019 • Received in revised form 12 August 2019
Accepted 14 August 2019 • Available online 10 September 2019

Rebecca Dolan-Canning
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The Automated Production Systems
Research Unit at CSA, Brisbane, Australia

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