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Local Extremes of Selected Industry 4.0 Indicators in the European Space - Structure for Autonomous Systems
[Zeitschriftenartikel]
Abstract In the past, the social and economic impacts of industrial revolutions have been clearly identified. The current Fourth Industrial Revolution (Industry 4.0) is characterized by robotization, digitization, and automation. This will transform the production processes, but also the services or financia... mehr
In the past, the social and economic impacts of industrial revolutions have been clearly identified. The current Fourth Industrial Revolution (Industry 4.0) is characterized by robotization, digitization, and automation. This will transform the production processes, but also the services or financial markets. Specific groups of people and activities may be replaced by new information technologies. Changes represent an extreme risk of economic instability and social change. The authors described available published sources and selected a group of indicators related to Industry 4.0. The indicators were divided into five groups and summarized by negative or positive impact. The indicators were analyzed by precedence analysis. Extremes in the geographical dislocation of factor values were found. Furthermore, spatial dependencies in the distribution of these extremes were found by calculating multiple (long) precedencies. European countries were classified according to individual groups of indicators. The results were compared with the real values of the indicators. The indicated extremes and their distribution will allow to predict changes in the behavior of the population given by changes in the socio-economic environment. The behavior of the population can be described by the behavior of autonomous systems on selected infrastructure. The paper presents research related to the creation of a multiagent model for the prediction of spatial changes in population distribution induced by Industry 4.0.... weniger
Thesaurusschlagwörter
Industrie; Digitalisierung; Automatisierung; sozialer Wandel; ökonomischer Wandel; sozioökonomische Folgen; Arbeitsmarktentwicklung; Wirtschaftspolitik
Klassifikation
Technikfolgenabschätzung
Produktion, Fertigung
Freie Schlagwörter
Industry 4.0; indicators; precedence analysis; European Union Labour Force Survey (EU-LFS)
Sprache Dokument
Englisch
Publikationsjahr
2020
Seitenangabe
S. 1-37
Zeitschriftentitel
Journal of Risk and Financial Management, 13 (2020) 1
Heftthema
International Trends and Economic Sustainability on Emerging Markets
DOI
https://doi.org/10.3390/jrfm13010013
ISSN
1911-8074
Status
Veröffentlichungsversion; begutachtet (peer reviewed)