Central European Business Review, 2019 (vol. 8), issue 4

Articles

Bipartite Competency Schemas on Polish Labor Market

Paweł Lula, Anna Kovaleva, Renata Oczkowska, Małgorzata Tyrańska, Sylwia Wiśniewska

Central European Business Review 2019, 8(4):1-25 | DOI: 10.18267/j.cebr.222  

The complexity and variability of the contemporary labour markets creates the need for continuous improvement of methods used for their description, analysis and forecasting. Looking for a tool that allows for the simultaneous analysis of various aspects of contemporary labour markets, the authors focused their attention on k-partite graph models (with particular emphasis on bipartite graphs). The assessment of the usefulness of models based on bipartite graphs for analysis of regularities occurring on the Polish labour market is the main aim of the paper. The authors studied the regional distribution of the demand for employee competencies and evaluated...

Decomposition and Forecasting Time Series in the Business Economy Using Prophet Forecasting Model

Miroslav Navratil, Andrea Kolkova

Central European Business Review 2019, 8(4):26-39 | DOI: 10.18267/j.cebr.221  

There are many methods of forecasting, often based on the specific conditions of the given time series which are frequently the result of research in scientific centres and universities. Nevertheless, there are also models that were created by scientists in a particular company, examples may be Google or Facebook. The latter one has developed one of the latest Prophet forecasting models published in 2017 by Taylor & Letham. This model is completely new and so it is appropriate to subject it to further research, which is the topic of this article. To accomplish this research objective, the aim of this work is to identify seasonal trends in revenue...

Artificial Intelligence-Based Development Strategy in Dependent Market Economies – Any Room amidst Big Power Rivalry?

Andrea Szalavetz

Central European Business Review 2019, 8(4):40-54 | DOI: 10.18267/j.cebr.219  

This paper investigates whether the activities of start-ups specialising in artificial intelligence (AI)-powered solutions could contribute to upgrading in dependent market economies. Mapping the ecosystem of Hungarian AI-solution providers, collecting, and analysing data of their solutions, activities, and performance, we identify the main mechanisms of AI-driven upgrading. We argue that AI-solution providers induce productivity and resource efficiency improvement at technology adopters by enabling process upgrading. By selling their services to the local subsidiaries of global companies, they intensify the local backward linkages of these companies....

Changes in Economic Sentiment Indicators before and after Economic Crisis (Position of Visegrad Group and Germany in EU)

Marta Necadova

Central European Business Review 2019, 8(4):55-85 | DOI: 10.18267/j.cebr.220  

Confidence factors play an important role not only in the assessment of business cycles but also in the evaluation of national competitiveness (e.g. the Global Competitiveness report published by the World Economic Forum) due to both using soft data obtained from opinion surveys. The subjective nature of confidence leads to questions about the soundness of such findings. Since the answers from opinion surveys are subjective, the empirical relationship between sentiment indicators and economic variables is not unambiguously established. In these conditions, the results of business surveys and the findings published by competitiveness rankings should...