chunk1

ABSTRACT. Despite the relevance of sustainable Industry 4.0, only limited research has been conducted on this topic. Using and replicating data from AlphaWise, CompTIA, Deloitte, Globant, McKinsey, Morgan Stanley, PAC, PwC, SME, and we.CONECT, we performed analyses and made estimates regarding the link between artificial intelligence-based decision-making algorithms, automated production systems, and big data-driven innovation. The results of a study based on data collected from 5,300 respondents provide support for our research model. Using the structural equation modeling, we gathered and analyzed data through a self-administrated questionnaire.
JEL Codes: E24; J21; J54; J64

Keywords: artificial intelligence; big data; sustainability; Industry 4.0; algorithm

How to cite: Duft, G., and Durana, P. (2020). “Artificial Intelligence-based Decision-Making Algorithms, Automated Production Systems, and Big Data-driven Innovation in Sustainable Industry 4.0,” Economics, Management, and Financial Markets 15(4): 9–18. doi:10.22381/EMFM15420201

Received 8 October 2020 • Received in revised form 14 December 2020
Accepted 16 December 2020 • Available online 17 December 2020

Gerald Duft
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Cognitive Labor Institute,
New York City, USA
(corresponding author)
Pavol Durana
This email address is being protected from spambots. You need JavaScript enabled to view it.
Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic

Home | About Us | Events | Our Team | Contributors | Peer Reviewers | Editing Services | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

 
Joomla templates by Joomlashine