| HAYHOE, Terry, Ivana PODHORSKÁ, Anna SIEKELOVÁ a Vojtěch STEHEL. Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making. Journal of Self-Governance and Management Economics. New York, USA: Addleton Academic Publishers, 2019, roč. 7, č. 2, s. 31-36. ISSN 2329-4175. Dostupné z: https://dx.doi.org/10.22381/JSME7220195. |
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@article{50221,
author = {Hayhoe, Terry and Podhorská, Ivana and Siekelová, Anna and Stehel, Vojtěch},
article_location = {New York, USA},
article_number = {2},
doi = {http://dx.doi.org/10.22381/JSME7220195},
keywords = {sustainable manufacturing; Industry 4.0; cyber-physical production system},
language = {eng},
issn = {2329-4175},
journal = {Journal of Self-Governance and Management Economics},
title = {Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making},
url = {https://addletonacademicpublishers.com/contents-jsme/1647-volume-7-2-2019/3544-sustainable-manufacturing-in-industry-4-0-cross-sector-networks-of-multiple-supply-chains-cyber-physical-production-systems-and-ai-driven-decision-making},
volume = {7},
year = {2019}
}
TY - JOUR
ID - 50221
AU - Hayhoe, Terry - Podhorská, Ivana - Siekelová, Anna - Stehel, Vojtěch
PY - 2019
TI - Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making
JF - Journal of Self-Governance and Management Economics
VL - 7
IS - 2
SP - 31-36
EP - 31-36
PB - Addleton Academic Publishers
SN - 23294175
KW - sustainable manufacturing
KW - Industry 4.0
KW - cyber-physical production system
UR - https://addletonacademicpublishers.com/contents-jsme/1647-volume-7-2-2019/3544-sustainable-manufacturing-in-industry-4-0-cross-sector-networks-of-multiple-supply-chains-cyber-physical-production-systems-and-ai-driven-decision-making
L2 - https://addletonacademicpublishers.com/contents-jsme/1647-volume-7-2-2019/3544-sustainable-manufacturing-in-industry-4-0-cross-sector-networks-of-multiple-supply-chains-cyber-physical-production-systems-and-ai-driven-decision-making
N2 - Authors submit an insight into relevant literature on sustainable manufacturing in Industry 4.0, providing both quantitative evidence on trends and numerous in-depth empirical examples. They perform analyses and make 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.
ER -
HAYHOE, Terry, Ivana PODHORSKÁ, Anna SIEKELOVÁ a Vojtěch STEHEL. Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making. \textit{Journal of Self-Governance and Management Economics}. New York, USA: Addleton Academic Publishers, 2019, roč.~7, č.~2, s.~31-36. ISSN~2329-4175. Dostupné z: https://dx.doi.org/10.22381/JSME7220195.
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