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ABSTRACT. We inspect the relevant literature on sustainable manufacturing in Industry 4.0, providing both quantitative evidence on trends and numerous in-depth empirical examples. Building our argument by drawing on data collected from BCG, Deloitte, LMTPE-RWTH Aachen University, PwC, and Statista, we performed analyses and made estimates regarding awareness and usage of smartphone applications featuring machine learning (%), elements that are expected to be highly relevant along the automotive value chain in 2030 (%), and share of companies investing in artificial intelligence worldwide (%, by industry). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: sustainable manufacturing; Industry 4.0; cyber-physical production system

How to cite: Hayhoe, Terry, Ivana Podhorska, Anna Siekelova, and Vojtech Stehel (2019). “Sustainable Manufacturing in Industry 4.0: Cross-Sector Networks of Multiple Supply Chains, Cyber-Physical Production Systems, and AI-driven Decision-Making,” Journal of Self-Governance and Management Economics 7(2): 31–36. doi:10.22381/JSME7220195

Received 14 December 2018 • Received in revised form 18 May 2019
Accepted 19 May 2019 • Available online 1 June 2019

Terry Hayhoe
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The Boston Center for
Smart Economy, MA, USA
Ivana Podhorska
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Department of Economics,
Faculty of Operation and Economics
of Transport and Communications,
University of Zilina, Zilina, Slovak Republic
Anna Siekelova
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Department of Economics,
Faculty of Operation and Economics
of Transport and Communications,
University of Zilina, Zilina, Slovak Republic
Vojtech Stehel
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The School of Expertness and Valuation,
The Institute of Technology and Business
in Ceske Budejovice, Czech Republic

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