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

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00001624" target="_blank" >RIV/75081431:_____/19:00001624 - isvavai.cz</a>
Výsledek na webu
<a href="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" target="_blank" >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</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22381/JSME7320193" target="_blank" >10.22381/JSME7320193</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making
Popis výsledku anglicky
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.

Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Podobné výsledky(10)