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  1. Article ; Online: The impact of homeworking on work efficiency

    Kalinová Eva / Dolejší Lucie

    SHS Web of Conferences, Vol 160, p

    2023  Volume 01004

    Abstract: The topic of homeworking has become very actual during the pandemic of covid-19. This pandemic showed the unpreparedness of companies for this modern way of working. At the same time, however, it contributed to rapid reaction and the introduction of ... ...

    Abstract The topic of homeworking has become very actual during the pandemic of covid-19. This pandemic showed the unpreparedness of companies for this modern way of working. At the same time, however, it contributed to rapid reaction and the introduction of homeworking into normal work processes. The aim of this paper is to find out to what extent and in which economic sectors the introduction of telecommuting has proved feasible. What benefits does it bring to employees and employers. And then to evaluate to what extent homeworking has an impact on the efficiency of employee performance. The analysis was based on data from the Czech Statistical Office’s statistical survey as well as a survey conducted by the Ministry of Labour and Social Affairs. The data will be classified and evaluated using classification analysis. The results of this analysis have shown that the covid-19 pandemic has contributed to a faster uptake of home working even in organisations that did not use this way of working before. It also showed that the majority of employees interviewed would welcome a “hybrid” employment model in the future, where they would work from home 2-3 days a week and work in the office the remaining days. An evaluation of employee effectiveness yielded the finding that most managers were satisfied with the work-from-home arrangements in their organization. Based on this work, the use of homeworking can be recommended to some extent at some sectors in the future.
    Keywords homeworking ; work from home ; work outside the workplace ; employee efficiency ; work performance ; Social Sciences ; H
    Subject code 300
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Using social networks in business

    Kalinová Eva / Kovaříková Hana

    SHS Web of Conferences, Vol 160, p

    2023  Volume 01013

    Abstract: Social media platforms and channels are being increasingly used nowadays, influencing almost all types of businesses. Social media are mainly used as a source of information and means of dissemination of knowledge that may change the opinions of people. ... ...

    Abstract Social media platforms and channels are being increasingly used nowadays, influencing almost all types of businesses. Social media are mainly used as a source of information and means of dissemination of knowledge that may change the opinions of people. They can be considered very important business marketing strategies since they participate significantly in creating new business opportunities, building a stronger position in the market, or in the transformation of consumer behaviour. The main goal of the paper is to determine which social networks are most commonly used in business and their purpose. To achieve the goal, the method of questionnaire survey was used, in which a total of 237 respondents participated. The results of the survey show that business entities mostly use Instagram in their business activities, mainly for promoting their company, which was followed by Facebook, through which they sell their products or attract new employees. In addition, companies also use social networks as a communication channel with employees or customers.
    Keywords communication ; society ; social media ; customers ; advertising ; Social Sciences ; H
    Subject code 650
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The relationship between unemployment and macroeconomic indicators

    Kalinová Eva / Kroutlová Kateřina

    SHS Web of Conferences, Vol 160, p

    2023  Volume 01008

    Abstract: The issue of unemployment set in the context of economic development is a crucial issue for ensuring economic growth of a country. The aim of the text is to analyze the relationship between unemployment and basic macroeconomic indicators and to confirm ... ...

    Abstract The issue of unemployment set in the context of economic development is a crucial issue for ensuring economic growth of a country. The aim of the text is to analyze the relationship between unemployment and basic macroeconomic indicators and to confirm the direct relationship between these variables. The research method used was the analysis of the values of the general unemployment rate, gross domestic product, i.e. GDP, and gross value added, i.e. GVA, and their subsequent comparison. Other research methods include correlation analysis with Pearson’s correlation coefficient, which confirmed a high degree of correlation between the general unemployment rate and the values of GDP and GVA. The research confirmed the existence of a correlation between the general unemployment rate and both GDP and GVA. GDP and GVA in the Moravian-Silesian Region were increasing in the sample years 2013-2019, while the general unemployment rate was decreasing. The analysis of the values shows that the values of GDP and GVA were inversely proportional to the values of the general unemployment rate. A limitation of the research was that economic development is not only influenced by the unemployment rate. As a result, it was not possible to establish a precise value that would define the extent of the impact of unemployment on the economic development of the region. The contribution of the paper is the confirmation of the existence of the correlation of unemployment with the mentioned development indicators, and the validity of Okun’s Law also on the territory of the Moravian-Silesian Region.
    Keywords unemployment ; gdp ; gva ; okun’s law ; moravskoslezský region ; Social Sciences ; H
    Subject code 339
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: An Analysis of the Time Series of the PepsiCo, Inc. (PEP) Share Price and a Prediction of its Development

    Kalinová Eva / Tlustý Michal

    SHS Web of Conferences, Vol 91, p

    2021  Volume 01046

    Abstract: The paper deals with the topic of stock time series and their forecasts. The aim of the paper is to provide a detailed analysis of the time series of PepsiCo, Inc. (PEP) shares and subsequently, to use machine tools to predict its further development. ... ...

    Abstract The paper deals with the topic of stock time series and their forecasts. The aim of the paper is to provide a detailed analysis of the time series of PepsiCo, Inc. (PEP) shares and subsequently, to use machine tools to predict its further development. The results of the paper in their first part identify the boundaries of RSI indicators for the oversold or overbought market and moreover, with the help of these indicators, predict further possible development of the time series. Daily share price data from PepsiCo, Inc. from the end of April 2019 to the end of April 2020 are used. Two indicators have been recorded since the beginning of 2020. The first one, recorded at the end of January, recommended the trader to sell the position, and further developments suggest that this step would be correct, as stock values then began to fall sharply. The second indicator was identified at the beginning of March, when the world was shaken by the coronavirus crisis, and this indicator recommended the trader to buy a position. Further developments indicated that this would be the right move, as stock values rose in the following period. Moreover, the moving average method is employed as well. Values are calculated for 50, 100 and 200 days. With this tool, only one recommendation is identified, in March 2020, when the fast moving average intersected both slower moving averages, and the ideal solution was to sell the position, which could be described as the right step with the further development of the time series, because stock values began to fall again after this period.
    Keywords prediction ; stock price development ; time series ; moving average ; rsi indicators ; strategy ; Social Sciences ; H
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: An Analysis of Correlation and Forecast of CZK to EUR in the Unstable Global World

    Kalinová Eva / Rowland Zuzana

    SHS Web of Conferences, Vol 92, p

    2021  Volume 09007

    Abstract: Research background: In the Czech Republic, the CZK/EUR currency pair is the most observed one not only by Czech consumers but also by Czech and foreign companies. Not only the political situation in the world and the foreign investors but also other ... ...

    Abstract Research background: In the Czech Republic, the CZK/EUR currency pair is the most observed one not only by Czech consumers but also by Czech and foreign companies. Not only the political situation in the world and the foreign investors but also other variables have a significant influence on the CZK. Purpose of the article: The aim of this paper is to analyse the development of the CZK/EUR exchange rate, to perform a correlation analysis of the CZK/EUR currency pair and to forecast its future development in today’s unstable global world affected by the Coronavirus pandemics. Methods: In order to fulfil the aim of the paper, the data of the CZK/EUR currency pair from the beginning of the year 1999 to mid-June 2020 was used. The correlation analysis and the forecast of the future development of the exchange rate are performed by means of the, in today’s globalized world very promising, technology of artificial neural networks. Findings & Value added: The analysis and the forecast of the exchange rate development is based on the time series model taking the previous value of the exchange rate and its previous volatility into consideration. The strongest propulsion power for the development of the CZK/EUR exchange rate will be the market atmosphere on the world’s markets and the associated capital transfer between risk assets and safe havens. Provided, that the current situation settled down definitively and the economy returned back to its normal state, it is probable that the Czech koruna would gain some part of its significant loss back within a medium-term period.
    Keywords exchange rate ; volatility ; future development forecast ; artificial neural networks ; Social Sciences ; H
    Subject code 332
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Optimization of the capital structure of an agricultural company in the Czech Republic

    Vrbka Jaromír / Kalinová Eva / Dvořáková Zuzana

    SHS Web of Conferences, Vol 132, p

    2022  Volume 01008

    Abstract: The topic of optimizing capital structure is very important for a company to work efficiently and reliably. It is important for every company to optimize everything so that they have the highest possible efficiency. Entrepreneurs also try to make this ... ...

    Abstract The topic of optimizing capital structure is very important for a company to work efficiently and reliably. It is important for every company to optimize everything so that they have the highest possible efficiency. Entrepreneurs also try to make this optimization last them as long as possible. Therefore, the aim of this paper is to determine the optimal capital structure of an agricultural company operating in the Czech Republic. The base source of data is the closing data of individual agricultural companies from the Albertina database of Bisnode. More than 9,000 agricultural enterprises operating in the given sector of the national economy in the Czech Republic are recorded in this data set. The calculation of the WACC method and the level of debt of individual agricultural companies are used. Subsequently, the equation for calculating the cost of capital is determined using power regression. Here we also obtain the value of reliability, which in this particular case is not ideal, but still reasonable. A line chart is used to determine the optimal interval for the agricultural company. The optimal debt interval comes out to 20 to 25%, at which the cost of capital is declared to be from 22 to 24%. If agricultural companies had higher or lower debt ratios, it would be inefficient for the enterprise.
    Keywords optimal capital structure ; debt ; power regression ; cost of capital ; agriculture ; optimization ; Social Sciences ; H
    Subject code 338
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Czech companies will have to deal with import of labour

    Kalinová Eva / Kostiuk Yaroslava / Michutová Denisa

    SHS Web of Conferences, Vol 132, p

    2022  Volume 01010

    Abstract: Labour market or supply and demand for labour is determined by how individuals demand work (supply) and how the offer of jobs is from the side of companies (demand). This is a very important issue, as it is a part of the main factor markets. The data on ... ...

    Abstract Labour market or supply and demand for labour is determined by how individuals demand work (supply) and how the offer of jobs is from the side of companies (demand). This is a very important issue, as it is a part of the main factor markets. The data on labour market are used for analysing the movement of labour market. Thanks to this, it is possible to forecast its approximate development. The basic source are data from the database of the Ministry of Labour and Social Affairs of the Czech Republic. The objective of this paper is to analyse the development of supply and demand for labour in the years 2010-2020 and forecast its development until 2025. The analysis of time series is performed using the method of artificial neural networks, which enables the analysis of the development between 2010 and 2020 and forecasting the further development of supply and demand for labour until the year 2025. The research shows that the development until the year 2025 will not be very favourable. The demand will be much greater than the supply, which means there will be more vacancies than workers. To fill the vacancies and be able to further operate, companies will try to solve this situation by hiring workers from other countries. The results of the paper being submitted may serve for other labour market research.
    Keywords labour market ; supply and demand for labour ; labour market forecasting ; Social Sciences ; H
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Impact of Globalization and Internationalization Processes on Added Value in EU Countries

    Kostiuk Yaroslava / Kalinová Eva / Kučera Jiří

    SHS Web of Conferences, Vol 92, p

    2021  Volume 09008

    Abstract: Research Background: The paper focuses on the specification of categories of the globalization and internationalization process in terms of origin, development, definition and content. Using European Commission statistics for the period 2013-2017, the ... ...

    Abstract Research Background: The paper focuses on the specification of categories of the globalization and internationalization process in terms of origin, development, definition and content. Using European Commission statistics for the period 2013-2017, the EU28 countries are divided into countries that started the EU (Germany, France, Italy, Belgium, the Netherlands, Luxembourg) and countries that joined the EU before 2000 (Denmark, Norway, Finland, Portugal, Austria, Greece, Spain, Sweden, Great Britain), and other countries of the so-called former Eastern bloc (Czech Republic, Slovakia, Hungary, Poland). For such defined EU countries, a different level of involvement in the globalizing common economy of the European Union as well as a different level of involvement in foreign markets, depending on the level of national economies, can be expected. Purpose of the Article: A test set of 338,788 companies from across the EU was used to analyse value added associated with each indicator (value added at factor cost, gross (average) value added per person employed, number of workers, enterprise size classes and selected industries, namely manufacturing, construction, engineering, transportation and logistics). The membership of the countries in the European Monetary Union was also taken into account. Methods: Mathematical and statistical methods of correlation analysis and paired T-test were used for value added analysis. Findings & Value Added: The outputs of the analysis indicated a high level of statistical conclusive evidence in terms of the impact of value added on each enterprise size class across the sectors concerned as well as on the structure of production and the number of active workers.
    Keywords value added ; globalization ; global value chain ; worker efficiency ; Social Sciences ; H
    Subject code 306
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Evaluation of selected capital market

    Horák Jakub / Kalinová Eva / Novotná Andrea

    SHS Web of Conferences, Vol 129, p

    2021  Volume 03011

    Abstract: Research background: Stock exchange trading is an activity carried out in order to achieve a profit. The oldest and largest market operator in the CR is the Prague Stock Exchange. The complex development of the market in a given period with regard to its ...

    Abstract Research background: Stock exchange trading is an activity carried out in order to achieve a profit. The oldest and largest market operator in the CR is the Prague Stock Exchange. The complex development of the market in a given period with regard to its development trends is monitored by means of the stock market index. The index of the Prague Stock Exchange is PX index. Purpose of the article: The objective of the contribution is the evaluation of the development of the PX index in the years 2018-2020 and the prediction of its further development. Methods: The data on the PX index were obtained from the official Prague Stock Exchange websites. The data are available for the period of 26 March 2018-31 March 2021. The processed data are analysed using neural networks, specifically the time series analysis. The opening price is used as a variable. Findings & Value added: The research results show that the Czech market index has been relatively stable in the past, its values being around its initial value, 1,000 points. No major fluctuations were recorded, as the PX index included very stable firms. However, with the onset of the COVID-19 pandemic, there was a sharp decline caused by the effect of anti-pandemic measures on the economy. Currently, the Czech market index is expected to grow gradually and stabilize at around 1,000 points.
    Keywords px index ; neural networks ; capital market ; stock exchange ; Social Sciences ; H
    Subject code 330 ; 332
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Observed half-lives of 3H, 90Sr and 137Cs in hydrosphere in the Vltava River basin (Bohemia).

    Hanslík, Eduard / Jedináková-Krízová, Vera / Ivanovová, Diana / Kalinová, Eva / Sedlárová, Barbora / Simonek, Pavel

    Journal of environmental radioactivity

    2005  Volume 81, Issue 2-3, Page(s) 307–320

    Abstract: A near field study was set up to follow the effects of the Temelin nuclear power plant construction. Reference levels of artificial radionuclides were monitored in the Vltava River upper course and its tributaries in the period 1990-2001. Monitoring ... ...

    Abstract A near field study was set up to follow the effects of the Temelin nuclear power plant construction. Reference levels of artificial radionuclides were monitored in the Vltava River upper course and its tributaries in the period 1990-2001. Monitoring continued even after the waste water release startup during the pilot operation in 2002. The assessment of the (90)Sr and (137)Cs concentrations histories in ground water, river bottom sediments and fish showed a decreasing trend. This trend was not influenced by the nuclear power plant pilot operation. In the case of tritium, trend of increasing concentration had been already observed since the pilot operation startup. The monitoring of changes in concentrations of artificial and natural radionuclides in influenced and uninfluenced profiles will be maintained to assess the possible influence of the operation of the Temelin nuclear power plant.
    MeSH term(s) Cesium Radioisotopes/analysis ; Czech Republic ; Environmental Monitoring ; Half-Life ; Hydrogen/analysis ; Power Plants ; Rivers ; Strontium Radioisotopes/analysis ; Water Pollutants, Radioactive/analysis
    Chemical Substances Cesium Radioisotopes ; Strontium Radioisotopes ; Water Pollutants, Radioactive ; Hydrogen (7YNJ3PO35Z)
    Language English
    Publishing date 2005
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1483112-0
    ISSN 1879-1700 ; 0265-931X
    ISSN (online) 1879-1700
    ISSN 0265-931X
    DOI 10.1016/j.jenvrad.2004.01.042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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