Artículo

Industry 4.0 and 5g technology on firms network

Resumen

Goal: This study aims to explore the relationship between companies leveraged by the use of 5G technologies and Industry 4.0 to develop a model that explains the impacts on the ecosystem. Design / Methodology / Approach: This study applies a bibliometric research utilizing scientometric review to provide an understanding of the status quo and the trend for research on the tripod theme in the world: (a) Firm Network, (b) Industry 4.0 and (c) 5G Technology. The study is extended by a qualitative research applying critical incident technique to experts acute accent interviews looking for the gap in the bibliometric review and insights on the tripod theme to develop a Conceptual Model based on grounded theory. Results: A conceptual model of balanced competitive expansion of the market was developed regarding the bibliometric and qualitative research. The model, based on 5 hypotheses-related to Partnership, Competition and Products and Services – highlights that while the 5G technology and Industry 4.0 impact the relationship among companies (competition, partnerships, product and services) this impact is balanced with a market expansion. Limitations of the investigation: This proposed conceptual model must be evaluated with quantitative research to validate the variables and hypothesis developed based on grounded theory. Practical implications: This paper shows methodological steps and basis to develop a conceptual model to be validate with broadly quantitative survey. Originality / Value: The paper demonstrates its originality and relevance by presenting a model relating innovative technology trends and their impact in the ecosystem.
Khamisy-Farah, Rola (55808741800); Gilbey, Peter (55980203000); Furstenau, Leonardo B. (57211463471); Sott, Michele Kremer (57218374403); Farah, Raymond (14013894800); Viviani, Maurizio (57231700200); Bisogni, Maurizio (57232852500); Kong, Jude Dzevela (56305065700); Ciliberti, Rosagemma (6507895664); Bragazzi, Nicola Luigi (57212030091)
Big data for biomedical education with a focus on the covid-19 era: An integrative review of the literature
2021
10.3390/ijerph18178989
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113546517&doi=10.3390%2fijerph18178989&partnerID=40&md5=d9dcc718aa0b917324d63a4b1f8d88c9
Clalit Health Service, Akko, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; Azrieli Faculty of medicine, Bar Ilan University, Safed, 13100, Israel; Department of Industrial Engineering, Federal University of Rio Grande do Sul, Porto Alegre, 90035-190, Brazil; Business School, Unisinos University, Porto Alegre, 91330-002, Brazil; Department of Internal Medicine B, Ziv Medical Center, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; TransHumanGene, MedicaSwiss, Cham, Zug, 6330, Switzerland; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, ON, Canada; Section of History of Medicine and Bioethics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, 16132, Italy
All Open Access; Gold Open Access; Green Open Access
Scopus
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