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 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.
Highlights
The Fourth Industrial Revolution (Industry 4.0, Work 4.0, etc.) is a designation for the current trend of digitization with related to it automation of production and the labor market changes that it will bring with it
Similar conclusions are provided by Veselica (2019), he carries out the description, compares and analyzes the indicators of competitiveness and innovation for the selected national economy—the Republic of Croatia
The aim is to identify regional competitiveness based on the EU Regional Competitiveness Index indicator for 2016
Summary
The Fourth Industrial Revolution (Industry 4.0, Work 4.0, etc.) is a designation for the current trend of digitization with related to it automation of production and the labor market changes that it will bring with it. Industry 4.0 has specified (Kagermann et al 2013) as a process that is currently understood as the fourth industrial revolution based on cyber-physical systems, changing firms’ strategies, organization, business models, value and supply chains, processes, products, skills, and stakeholder relationships. Industry 4.0 will involve the technical integration of cyber-physical systems (CPS) into manufacturing and logistics and the use of the Internet of Things (IoT) and Internet of Services (IoS) in industrial processes. This will have implications for value creation, business models, downstream services and work organization. Industry 4.0 is a ‘strategic initiative’ of the German government that was adopted as part of the High-Tech Strategy 2020 Action Plan
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