Využití shlukové analýzy a metody hlavních komponent při identifikaci faktorů ovlivňující přijetí IFRS pro SME
The Use of Cluster Analysis and Principal Component Methods in Identification of Factors Influencing the Adoption of IFRS for SMEs

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2013-03Alternative metrics PlumX
http://hdl.handle.net/11012/24416Altmetrics
http://hdl.handle.net/11012/24416
http://hdl.handle.net/11012/24416
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Purpose of the article: Small and medium sized companies have an important position in the economy.
Different generally accepted accounting principles (GAAP) can be considered as one of the most important
obstacles in their actions on the international markets. The International Accounting Standards Board (IASB)
published an International Financial Reporting Standard (IFRS) designed for the use by small and mediumsized
entities (SMEs) to meet their financial reporting needs. The purpose of the paper is to evaluate the current
approach to the IFRS for SME adoption over the world, with respect to the level of economic development
of countries and quality of their financial reporting. In the paper are identified common characteristics of
countries (indicators) which have already the IFRS for SME adopted.
Methodology and methods: The statistical methods were used for the comparison of countries which have
already the IFRS for SMEs adopted with those which have not adopted it yet. The level of economic
development of the particular country and other characteristics were used for comparison. The confidence
intervals for selected indicators characterising the clusters of countries with the same approach the IFRS for
SMEs adoption.
Scientific aim: The main scientific aim of this paper is to identify indicators characterizing the economic
level of the country in conjunction with other indicators describing the financial reporting quality, which are
different in the case of countries that acceded to the adoption of IFRS for SMEs as their generally accepted
accounting principles from countries that adoption rather reject and determine the values of these indicators
characteristic of each group, created confidence intervals used for the purpose of access prediction for adoption
of IFRS for SMEs in countries, in which their attitude to adoption is not yet clear.
Findings: It is obvious from results of analysis, that the average values significantly differs between the
countries which have adopted IFRS for SMEs and countries which have not. Countries having the positive
attitude towards IFRS for SMEs have lower values of indicators. The most important difference has been
found in the indicator of GDP per capita, for its value does not fall within the set intervals.
Conclusions: The application of statistical methods has demonstrated that the countries which the IFRS for
SMEs already adopted have significantly lower level of GDP per capita in comparison to countries, which
are the adoption of IFRS for SMEs refusing. Similar hypothesis concerning the connection to willingness to
adopt the standard and quality of the current financial reporting system of the country was tested. With 99%
probability the different level of the average indicator of the quality of financial reporting was demonstrated
for each group. The average lower level of all analyzed indicators was established in case of countries which
the IFRS for SMEs have already adopted.
Keywords
SME, IFRS for SME, harmonization, adoption of IFRS for SME, cluster analysis, t-testPersistent identifier
http://hdl.handle.net/11012/24416Document type
Peer reviewedDocument version
Final PDFSource
Trendy ekonomiky a managementu. 2013, VII, č. 13, s. 9-21. ISSN 1802-8527.http://www.fbm.vutbr.cz/cs/fakulta/vedecky-casopis/aktualni-cislo/1649-trendy-ekonomiky-a-managementu-cislo-13-rocnik-vii
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- Číslo 13, ročník VII [11]