Business Models for Sustainable Innovation in Industry 4.0:
Smart Manufacturing Processes, Digitalization of Production
Systems, and Data-driven Decision Making

J 2019

Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making

LUDBROOK, Frances; Katarina Frajtova MICHALIKOVA; Zdeňka MUSOVÁ and Petr ŠULEŘ

Basic information

Original name

Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making

Name in Czech

Obchodní modely pro udržitelnou inovaci v průmyslu 4.0: Inteligentní výrobní procesy, digitalizace výrobních systémů a rozhodování na základě dat

Authors

LUDBROOK, Frances (124 Canada, guarantor); Katarina Frajtova MICHALIKOVA (703 Slovakia); Zdeňka MUSOVÁ (703 Slovakia) and Petr ŠULEŘ (203 Czech Republic, belonging to the institution)

Edition

Journal of Self-Governance and Management Economics, New York City, Addleton Academic Publishers, 2019, 2329-4175

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50200 5.2 Economics and Business

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

URL

RIV identification code

RIV/75081431:_____/19:00001624

Organization unit

Institute of Technology and Business in České Budějovice

DOI

http://dx.doi.org/10.22381/JSME7320193

EID Scopus

2-s2.0-85074483926

Keywords (in Czech)

udržitelné inovace; průmysl 4.0; inteligentní výroba; digitalizace

Keywords in English

sustainable innovation; industry 4.0; smart manufacturing; digitalization

Abstract

ORIG CZ

V originále

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.

In Czech

Pomocí a replikací dat z Ad Hoc Research, BCG, BDO, Capgemini, CIO, EY a McKinsey autoři provedli analýzy a odhady týkající se účinků průmyslu 4.0 na pracovní sílu. Výsledky studie založené na údajích shromážděných od 5 200 respondentů poskytují podporu výzkumnému modelu. Pomocí modelování strukturální rovnice a pomocí techniky vzorkování pravděpodobnosti autoři shromáždili a analyzovali data pomocí samoobslužného dotazníku.

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Cite

LUDBROOK, Frances; Katarina Frajtova MICHALIKOVA; Zdeňka MUSOVÁ and Petr ŠULEŘ. Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making. Journal of Self-Governance and Management Economics. New York City: Addleton Academic Publishers, 2019, vol. 7, No 3, p. 21-26. ISSN 2329-4175. Available from: https://dx.doi.org/10.22381/JSME7320193.

@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 and 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, vol.~7, No~3, p.~21-26. ISSN~2329-4175. Available from: https://dx.doi.org/10.22381/JSME7320193.

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