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Bankruptcy Practice in Countries of Visegrad Four

in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model. 1-47. [Accessed 10.04.2017]. Available from Internet: https://poseidon01.ssrn.com/delivery.php?ID=529106093087075013127067084001013126029069029053059024023104086010119071109096111023033010062037057098105109087086121108006005005049053081003084104122116117114069001049002007025124115086117073017084097088069083065010109072000001074086091124086118014066&EXT=pdf Amendola, A, Restaino, M., & Sensini, L. (2013). Corporate Financial Distress And Bankruptcy: A Comparative

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Digital Economy and Society: Baltic States in the EU Context

Abstract

Research purpose. The high penetration of the Internet and increased level of use of digital devices create conditions for the development of the digital economy and society. Understanding and management of this model are essential whilst seeking to compete in the global market and to ensure a high standard of living for citizens. However, despite the opportunities presented by the digital economy, the Baltic States have not yet fully exploited the potential of digital technologies for sustainable development. The purpose of this research is to assess the progress of the Baltic States towards developing a digital economy and society and to identify areas requiring priority investments and action.

Design/Methodology/Approach. The Digital Economy and Society Index (DESI) published by the European Commission is used to explore the potential of the digital economy. It is an index measuring progress in digital performance through five components: connectivity, human capital, use of internet, integration of digital technology and digital public services. DESI is a crucial tool to reflect the performance of the Baltic States in the context of other European countries.

Findings. The survey shows the individual performance of each Baltic country and compares them amongst themselves as well as with other EU countries. Estonia has the highest DESI when compared with other Baltic countries; however, lower scores in connectivity and integration of digital technology components are observed. Lithuania scores high in the integration of digital technology, whereas the human capital component remains lower. Latvia is a leader amongst connectivity but descents to other Baltic countries in human capital and integration of digital technology components.

Originality/Value/Practical implications. The digital economy remains a widely discussed topic; however, a lack of unanimous scientific definition and detailed research on this economic model complicates understanding of digital technologies. It is essential for each government to analyse the model and focus on the improvement of the digital economy in order to ensure that the country remains digitally competitive in the world.

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Social Behavior of Schoolteachers of Latvia and Russia in the Structure of Teacher Professional Identity

Abstract

The article presents the results of the international study of the professional identity of schoolteachers of Russia and Latvia. In the study, the six component model of the content of the teacher professional identity (TPI) is used. According to this model, in 2017, the questionnaire “School Teacher Professional Identity” was created and international survey organized, in which 437 schoolteachers from Latvia and the Smolensk region of Russia participated. The aim of this article is to analyze the data of the two national samples for the 6th component of TPI: “Professionally Determined Social Behavior”. This behavior is not connected with the implementation of direct professional duties, but corresponds to the philosophy of the profession: taking up the mission of educating community, active involvement in social life, participation in formulation and solution of social problems having pedagogical aspects and unselfish professional help to those who need it. To process the data, statistical methods were used. On the whole, items of the component received relatively high scores in both national samples. Certain differences in the data of Latvian and Russian teachers as well as urban and rural subgroups of both countries are observed. High dispersion of data shown in this component indicates that the professionally determined social behavior is the most acute and controversial aspect of TPI; therefore, the elaboration of optimal ways and tools to strengthen TPI should be based on an in-depth study of social behavior of schoolteachers.

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Prediction of Default of Small Companies in the Slovak Republic

Prediction in an International Context: A Review and Empirical Analysis of Altmans Z-Score Model. SSRN Electronic Journal . doi:10.2139/ssrn.2536340 Boritz, J. E., Kennedy, D. B., & Sun, J. Y. (2007). Predicting Business Failures in Canada*. Accounting Perspectives, 6 (2), 141-165. doi:10.1506/g8t2-k05v-1850-52u4 Hebak, P., Hustopecky, J., Jarosova, E., & Pecakova, I. (2007). Vicerozmerne statisticke metody 1 . Praha: Informatorium. Christidis, A., & Gregory, A. (2010). Some New Models for Financial Distress Prediction in the UK. SSRN Electronic Journal

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Searching for Key Factors in Enterprise Bankrupt Prediction: A Case Study in Slovak Republic

References Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance , (23), 589-609. Agarwal, V & Taffler, R. J. Twenty-five Years of the Taffler Z-score Model: Does it Really have Predictive Ability? Accounting and Business Research , (37), pp. 285-300. Beaver, W. (1966). Financial Ratios as Predictors of Failure. Journal of Accounting Research , (4), 71-102. Bellovary, J., Giacomino, D. & Akers, M. (2007). A Review of Bankruptcy Prediction Studies: 1930 – Present. Journal of

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