Smart Manufacturing Technologies: Data-driven Algorithms in Production Planning, Sustainable Value Creation, and Operational Performance Improvement

Despite the relevance of smart manufacturing technologies, only limited research has been conducted on this topic. Using and replicating data from BI Intelligence, Capgemini, Deloitte, eMarketer, Forbes, PwC, Statista, and Zebra Technologies, we performed analyses and made estimates regarding indust...

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Bibliographic Details
Published in:Economics, Management, and Financial Markets Management, and Financial Markets, 2019-06, Vol.14 (2), p.52-57
Main Authors: Whittle, Therese, GREGOVA, ELENA, Podhorska, Ivana, Rowland, Zuzana
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Automation
Business Economy / Management
Computer peripherals industry
Conflicts of interest
Control theory
Decision making
Environmental protection
Industry 4.0
International relations
Internet of Things
Logistics
Machine learning
Manufacturers
Manufacturing
Planning
Political corruption
Production management
Production planning
Retail trade
Retirement benefits
Sharing economy
Structural equation modeling
Supervision
Supply chains
Technology
Value creation
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Summary:Despite the relevance of smart manufacturing technologies, only limited research has been conducted on this topic. Using and replicating data from BI Intelligence, Capgemini, Deloitte, eMarketer, Forbes, PwC, Statista, and Zebra Technologies, we performed analyses and made estimates regarding industries targeted by machine learning application developers (%), the main areas of interest for manufacturers within Industry 4.0 (%), retailers planning to invest in artificial intelligence and Internet of Things technologies by 2021 (%), and benefits of implementing artificial intelligence (%). Data collected from 4,400 respondents are tested against the research model by using structural equation modeling.
ISSN:1842-3191
1938-212X
DOI:10.22381/emfm14220193