塞尔维亚共和国会计条例的评估:聚类分析的应用

Sunčica Milutinović, O. Grljević, D. Dimitrijevic
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引用次数: 0

摘要

摘要本文的重点是识别会计专业人士认为的隐藏模式,以找出法律会计法规的不足之处,并审视他们对国际和法律会计法规的看法。利用聚类数据挖掘技术对通过问卷收集的数据进行分割。我们确定了不同的会计师群体对这两项法规所表达的态度具有特定的模式,以及不同的会计师群体对获取信息的方式具有特定的模式。调查结果表明,对法律会计法规质量普遍持消极态度,注册会计师和非注册会计师(即不使用国际财务报告准则的会计师)的习惯和态度存在差异。由于有四个已开发的模型,我们将它们作为提出信息寻求模型的基础,该模型可以减轻对国民经济中会计法规的负面看法。该模式的重点是引入强制性的持续专业教育和对所有会计人员进行认证,以及开展国际会计法规的普及和可及性活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Accounting Regulations in the Republic of Serbia: Application of Cluster Analysis
Abstract The focus of the paper is on identification of hidden patterns in the opinion of accounting professionals, in order to identify the deficiencies in the legal accounting regulations and to examine their perspective on international and legal accounting regulations. The data collected through the questionnaire was divided using clustering data mining technique. We identified different groups of accountants with specific patterns regarding the expressed attitudes towards both regulations, as well as different groups of accountants with specific patterns regarding the way of obtaining information. The findings point to the prevailing negative attitude towards the legal accounting regulations quality, and differences in the habits and attitudes of certified and non-certified accountants, i.e. accountants who (don’t) use International Financial Reporting Standards. Since there are four developed models, we used them as a basis for proposing a model of information seeking that could mitigate negative views on accounting regulations in the national economy. The key points of the proposed model are the introduction of compulsory continuous professional education and certification of all accountants, as well as activities for the popularization and accessibility of the international accounting regulations.
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