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Product Decision-Making Information Systems, Real-Time Big Data Analytics, and Deep Learning-enabled Smart Process Planning in Sustainable Industry 4.0.

Authors :
Peters, Elisabeth
Kliestik, Tomas
Musa, Hussam
Durana, Pavol
Source :
Journal of Self-Governance & Management Economics; Jul2020, Vol. 8 Issue 3, p16-22, 7p
Publication Year :
2020

Abstract

This article presents an empirical study carried out to evaluate and analyze sustainable Industry 4.0. Building our argument by drawing on data collected from Capgemini, Deloitte, McKinsey, MHI, we.CONECT, and World Economic Forum, we performed analyses and made estimates regarding the relationship between product decision-making information systems, real-time big data analytics, and deep learning-enabled smart process planning. Data collected from 4,600 respondents are tested against the research model by using structural equation modeling. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23294175
Volume :
8
Issue :
3
Database :
Complementary Index
Journal :
Journal of Self-Governance & Management Economics
Publication Type :
Academic Journal
Accession number :
145747507
Full Text :
https://doi.org/10.22381/JSME8320202