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Local Extremes of Selected Industry 4.0 Indicators in the European Space - Structure for Autonomous Systems
[journal article]
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... view more
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.... view less
Keywords
industry; digitalization; automation; social change; economic change; socioeconomic effects; labor market trend; economic policy
Classification
Technology Assessment
Manufacturing
Free Keywords
Industry 4.0; indicators; precedence analysis; European Union Labour Force Survey (EU-LFS)
Document language
English
Publication Year
2020
Page/Pages
p. 1-37
Journal
Journal of Risk and Financial Management, 13 (2020) 1
Issue topic
International Trends and Economic Sustainability on Emerging Markets
DOI
https://doi.org/10.3390/jrfm13010013
ISSN
1911-8074
Status
Published Version; peer reviewed