This article analyzes the available readiness indexes and maturity models applied for trends designated as “4.0”, with a focus on Industry 4.0, primarily within the countries of Europe. Based upon it, the available indexes and maturity models are organized into the individual layers of the metamodel; a proposal for this metamodel is this article’s main output. Simultaneously, as-yet-uncovered places for the development of existing maturity models, as well as space for further detailed research into the application of Industry 4.0 in theory and in practice, are identified on the basis of this metamodel.

The paper examines economic growth in old and new member countries of the European Union (EU-15 and EU-12) during the years of 1994–2000 and 2001–2008 mainly due to changes in information and communication technology (ICT) capital development. The first group EU-15 is presented by old EU countries and the second group EU-12 is presented by new member countries that joined the EU in 2004–2007. The threefactor Cobb-Douglas production function is estimated through the panel general least squares method. The input factors that might influence the economic growth are labour, ICT capital services and non-ICT capital services. Since ICT capital growth data are not available for all selected economies, the groups of countries were reduced to EU-14 and EU-7. The estimated panel production functions confirmed that the average growth of GDP in the EU-7 countries was supported by the stable growth of labour quantity and ICT-capital and increasing total factor productivity. A short-term drop in non-ICT capital growth with follow-up stagnation was caused rather by lower labour productivity. The research discovered that the drop in GDP growth in the EU-14 countries was a result of the slower growth of non-ICT capital and total factor productivity and the stagnated growth of ICT capital with low elasticity, and showed that even the compensation of growth in labour quality did not prevent a decrease in total factor productivity and economic growth.

Purpose: Information and communication technology are fundamental part of most business entities. Unfortunately, use of these technologies needs to be secured, and in the case that stipulated and legal regulations are not observed, it is very important to not only recognize but also prove such actions/incidents on time. Therefore, the ability to investigate the events/incidents in organization using traces in the information systems may be key component for regulation enforcement.Methodology/Approach: We propose a model for digital investigations within the organization, based on ISO standards and existing models for common digital investigations.Findings: The result of our work is a model that can serve as a guide to draft procedures for digital investigations within the organization. Such a procedure should provide evidence of a quality comparable to forensic evidence.Research Limitation/Implication: Our model provides an overview of the entire process and recommendations for its implementation; However, it does not provide a list of specific examination methods, because they vary depending on the case.Originality/Value of paper: Most of the previously presented models for digital investigations were focused on the investigation of the police forensic laboratories. The originality of our model lies in its focus on investigations in the business organization.

Purpose: The purpose of the article is to compare a degree of beta-convergence between V4 countries and EU28 at national and NUTS 2 level. Methodology/Approach: We will make this comparison separately for each indicator (gross domestic product at current market prices, unemployment rate and disposable income of households.). To evaluate beta-convergence differences at national and regional level, we will compare the data for the V4 countries and for Germany and Austria. To show convergence, we approximated the GDP growth trend in individual countries, using a trend line for three different time periods. Findings: Our results point to persistent disparities between regions. They have confirmed that the cohesion policy in the regions of the V4 countries should promote innovations and investments into less developed and predominantly agricultural regions, complete the necessary backbone infrastructure and develop a high-quality regional education. At regional level, the implementation of high value-added programs may be hampered by institutional factors and a lack of capacity to make the necessary infrastructure or human capital investments. Our analysis showed that differences in regional performance are also accompanied by significant differences in investigated indicators. Research Limitation/Implication: Limitations of the paper are at first missing data for Poland to the year 2013. Second limit of the article are data from regions, because data are related to the palce of residence of its branch. Originality/Value of paper: Paper is full original,also a data analysis does not copy any other articles neither article in a journal nor paper on conference.

This article deals with the deployment of an Internet of Things (IoT) technology within the energy industry (energy distribution) in the Czech Republic. The first part of the article is devoted to an assessment of the perspectives for developing IoT applications and implementing them within the economy, and then examines how the principles of multi-criteria decision-making are used to select IoT technologies for deployment in the energy industry. The selection of technology is also followed by the selection of the specific application with the highest potential benefit for the company using such a method to select the technology. The selection solution is demonstrated and further discussed from the technological and financial standpoints and illustrated via the example of choosing among two alternatives for a real-world application, very high voltage (VHV) frosting (in electric power transmission engineering, which is usually considered as any voltage between 52,000 and 300,000 V). The application solution is analyzed by how it relates to the direct vs indirect measurement of glaze ice. The result of this technical and financial analysis was that the direct glaze ice measurement variant is clearly the more advantageous one. The direct-measurement variant has a three-year payoff period, compared to six years for indirect measurement. Further, the benefits from the direct-measurement variant are 2.25 times larger than the other variant, and the five-year net profit value amounts to a profit for the direct-measurement variant while it results in a financial loss for the indirect-measurement variant. The recommended variant is to measure the icing of VHV lines directly.

This article describes and discusses research into the perspectives for deploying the IoT (Internet of Things) within the Czech energy industry. Our conclusions are based on empirical research performed among 50 energy-industry experts in 2016 and 2017. This was two-stage research in which we held interviews with these experts in order to select the set of the most acceptable IoT technologies for deployment in the energy industry, and then used the TOPSIS method to select the most suitable technologies among them for deployment in the Czech environment. For use in determining the most suitable technologies, we also defined—with the help of the mentioned experts—individual selection parameters and weightings for them, enabling us to apply the TOPSIS method to the selected set of technologies. Our result was the selection of the SIGFOX IoT technology.