Local Extremes of Selected Industry 4.0 Indicators in the European Space - Structure for Autonomous Systems

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

Deepening the Skills of Staff in Public Administration

AbstractFor the definition of training needs of staff working in the public service-oriented solutions in the area of transport infrastructure is needed to define the scope of competencies at different administrative levels. The strategy of development of human resources in public administration based on the strategy of human resources, this strategy is based on the strategy of public administration, specifically its long-term goals.The paper shows the specific programs increase professional competence and their use in the Moravian Silesian region and the Czech Republi

XXV. mezinárodní kolokvium o regionálních vědách

Title in English: 25th International Colloquium on Regional Sciences: Conference proceedings The conference proceedings consists of papers presented at the 25th International Colloquium on Regional Sciences that was organized by Department of Regional Economics and Administration FEA MU. It contains 57 articles arranged by topic. The individual articles deal with e.g. socioeconomic disparities among regions, regional policy, territory attractiveness, tourism, or regional public administration

XXIV. mezinárodní kolokvium o regionálních vědách

Title in English: 24th International Colloquium on Regional Sciences: Conference proceedings. The conference proceedings consists of papers presented at the 24rd International Colloquium on Regional Sciences that was organized by Department of Regional Economics and Administration FEA MU. It contains 79 articles arranged by topic. The individual articles deal with e.g. socioeconomic disparities among regions, regional policy, territory attractiveness, tourism or regional public administration

Covid 19 as a factor damping globalization trends - structural analysis of local extrema at the level of EU countries

Research background: The authors participate in the creation of a model for monitoring and predicting the behavior of autonomous systems on a selected infrastructure for the analysis of current phenomena. Covid 19 dampens globalization trends and processes, especially free movement. The primary research aim was to identify changes in Covid19 indicators in area. The secondary aim was to find agreement in the behavior of selected globalization factors. Purpose of the article: For the presented analysis, a research question was expressed how the EU states reacted to the change of local extremes of the pandemic. The paper presents spatial changes in the number of infected and dead in EU countries over time and compares these changes with selected changes in population movements and changes selected economic indicators. Methods: Notably daily, monthly and quarterly data from Eurostat, OECD, ECDC and WHO at the level of EU countries were used for the analysis. Local extremes were identified by comparison, precedence analysis, structural analysis and simulation. Findings & Value added: The added value of the paper lies in the chosen method, which identifies local extremes using structural analysis in a geospatial context. In most cases, global analyzes fail to take into account the links between the analyzed factors and the geopolitical location of the region. The work presents the possibilities of analysis using precedent modeling, through which analyzes can be performed with respect to geographical links. The output is the identification of EU countries according to responses to changes in pandemic factors

Movement of autonomous systems after selected infrastructure as a globalization effect induced by initiate Industry 4.0

The replacement of specialized, highly sophisticated human work with systems using artificial intelligence is one of the features of the 4th Industrial Revolution known as Industry 4.0. The upcoming innovations and transformations of production processes, the digitized of information and the automation will bring about changes at the social level. These are mainly changes in the company’s behavior. There is a significant risk for specific groups of people, especially those that can be replaced by new information technologies. In the context of the current sixth wave of globalization, new forms of migration of people and capital can be expected related to transnational nature of productive activities, the global form of communications and information. In the context of socio-economic structures, an individual is confronted with a set of factors. The aim of an individual’s behavior is usually to change his localization with respect to the values of the preferred socioeconomic variables, such as availability of work, safety, air quality, etc. On the other hand, the position of an individual will influence the values of socio-economic variables. Behavior can be simulated using multiagent systems. The paper informs about the first phase of the research. Local maxima of factor values were identified

CRM as a tool to maintain the competitiveness of enterprises in the global digital economy

Research background: Globalization is characterized by the interconnection of national economies, which may be more vulnerable in this way. Economic and social shocks caused by the global nature of the socio-economic environment have now shown, especially in connection with covid19, the need for a deeper focus of companies on customers. Purpose of the article: The need for communication, the search for new market opportunities, and the resumption of production in the post-crisis period could be significantly affected by the use of digital technologies aimed at clients and customers. The ongoing research “Application of systems for customer relationship management in the environment of small and medium-sized enterprises” has shown that customer orientation can be significantly supported and streamlined by using Customer relationship management (CRM) systems. The paper compares the use of CRM in EU countries and identifies critical points. Methods: Using methods of system analysis, especially mathematical prediction, statistical methods, and multicriteria analysis, the use of CRM in EU countries is compared in relation to selected factors of the digital economy. Findings & Value added: Years with major declines and disproportions have been identified. The declines in developed economies (Germany, France, Austria etc.) in 2019 are specific, related mainly to the use of new forms of customer service. It turns out that although companies are streamlining their marketing efforts through CRM and focusing on maximizing potential through customers, CRM is only an integral part of ICT and can be replaced in the global environment by other tools of the digital economy