Business Process Optimization, Cognitive Decision-Making Algorithms, and Artificial Intelligence Data-driven Internet of Things Systems in Sustainable Smart Manufacturing
Business Process Optimization, Cognitive Decision-Making Algorithms, and Artificial Intelligence Data-driven Internet of Things Systems in Sustainable Smart Manufacturing
Author(s): Arthur Williams, Petr Šuleř, Jaromír VrbkaSubject(s): Business Economy / Management, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: artificial intelligence; Internet of Things; sustainable smart manufacturing;
Summary/Abstract: The aim of this paper is to synthesize and analyze existing evidence on sustainable smart manufacturing. Using and replicating data from Accenture, Bain, Capgemini, CompTIA, IW Custom Research, Kronos, McKinsey, Microsoft, PAC, PwC, and Software AG, we performed analyses and made estimates regarding the link between business process optimization, cognitive decision-making algorithms, and artificial intelligence data-driven Internet of Things systems. Data were analyzed using structural equation modeling.
Journal: Journal of Self-Governance and Management Economics
- Issue Year: 8/2020
- Issue No: 4
- Page Range: 39-48
- Page Count: 10
- Language: English
- Content File-PDF
