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Business models for sustainable innovation in industry 4.0: Smart manufacturing processes, digitalization of production systems, and data-driven decision making
Názov Business models for sustainable innovation in industry 4.0: Smart manufacturing processes, digitalization of production systems, and data-driven decision making Aut.údaje Frances Ludbrook ... [et al.] Autor Ludbrook Frances (25%)
Spoluautori Frajtová-Michalíková Katarína (25%)
Musová Zdenka 1971- (25%) UMBEF03 - Katedra ekonomiky a manažmentu podniku
Suler Petr (25%)
Zdroj.dok. Journal of Self-Governance and Management Economics. Vol. 7, no. 3 (2019), pp. 21-26. - New York : Addleton Academic Publishers, 2019 Kľúč.slová priemysel 4.0 - industry 4.0 inovácie - innovations digitalizácia - digitization - digitalization výrobné procesy - manufacturing processes výrobné systémy Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Spojené štáty Anotácia © 2019, Addleton Academic Publishers. All rights reserved. Despite the relevance of business models for sustainable innovation in Industry 4.0, only limited research has been conducted on this topic. Using and replicating data from Ad Hoc Research, BCG, BDO, Capgemini, CIO, EY, and McKinsey, we performed analyses and made estimates regarding the effects of Industry 4.0 on the workforce (%), advanced technologies manufacturers are planning to use (%), and average realized overall productivity gains from smart factories so far (%). The results of a study based on data collected from 5,200 respondents provide support for our research model. Using the structural equation modeling and employing the probability sampling technique, we gathered and analyzed data through a self-administrated questionnaire. URL Link na plný text Kategória publikačnej činnosti ADM Číslo archívnej kópie 47142 Kategória ohlasu ZHANG, Ziyi - LIU, Yanfang - WANG, Yiheng - LIU, Yaolin - ZHANG, Yan - ZHANG, Yang. What factors affect the synergy and tradeoff between ecosystem services, and how, from a geospatial perspective? In Journal of cleaner production. ISSN 0959-6526, 2020, vol. 257, art. no. 120454, pp. 1-13.
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