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
{slider Author's contacts}
Gerald Duft
gerald.duft@aa-er.org
The Cognitive Labor Institute,
New York City, USA
(corresponding author)
Pavol Durana
pavol.durana@fpedas.uniza.sk
Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic