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@article{50961,
author = {Ludbrook, Frances and Michalikova, Katarina Frajtova and Musová, Zdeňka and Šuleř, Petr},
article_location = {New York City},
article_number = {3},
doi = {http://dx.doi.org/10.22381/JSME7320193},
keywords = {sustainable innovation; industry 4.0; smart manufacturing; digitalization},
language = {eng},
issn = {2329-4175},
journal = {Journal of Self-Governance and Management Economics},
title = {Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making},
url = {https://addletonacademicpublishers.com/contents-jsme/1715-volume-7-3-2019/3608-business-models-for-sustainable-innovation-in-industry-4-0-smart-manufacturing-processes-digitalization-of-production-systems-and-data-driven-decision-making},
volume = {7},
year = {2019}
}
TY - JOUR
ID - 50961
AU - Ludbrook, Frances - Michalikova, Katarina Frajtova - Musová, Zdeňka - Šuleř, Petr
PY - 2019
TI - Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making
JF - Journal of Self-Governance and Management Economics
VL - 7
IS - 3
SP - 21-26
EP - 21-26
PB - Addleton Academic Publishers
SN - 23294175
KW - sustainable innovation
KW - industry 4.0
KW - smart manufacturing
KW - digitalization
UR - https://addletonacademicpublishers.com/contents-jsme/1715-volume-7-3-2019/3608-business-models-for-sustainable-innovation-in-industry-4-0-smart-manufacturing-processes-digitalization-of-production-systems-and-data-driven-decision-making
L2 - https://addletonacademicpublishers.com/contents-jsme/1715-volume-7-3-2019/3608-business-models-for-sustainable-innovation-in-industry-4-0-smart-manufacturing-processes-digitalization-of-production-systems-and-data-driven-decision-making
N2 - Using and replicating data from Ad Hoc Research, BCG, BDO, Capgemini, CIO, EY, and McKinsey, authors performed analyses and made estimates regarding the effects of Industry 4.0 on the workforce. The results of a study based on data collected from 5,200 respondents provide support for research model. Using the structural equation modeling and employing the probability sampling technique, authors gathered and analyzed data through a self-administrated questionnaire.
ER -
LUDBROOK, Frances, Katarina Frajtova MICHALIKOVA, Zdeňka MUSOVÁ a Petr ŠULEŘ. Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making. \textit{Journal of Self-Governance and Management Economics}. New York City: Addleton Academic Publishers, 2019, roč.~7, č.~3, s.~21-26. ISSN~2329-4175. Dostupné z: https://dx.doi.org/10.22381/JSME7320193.
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