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Assessment of the Accounting Regulations in the Republic of Serbia: Application of Cluster Analysis


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Alpar, P., & Winkelstrater, S. (2014). Assessment of data quality in accounting data with association rules. Expert Systems with Applications, 41(2014), 2259–2268.10.1016/j.eswa.2013.09.024Search in Google Scholar

Argyrou, A., & Andreev, A. (2011). A Semi-supervised Tool for Clustering Accounting Databases with Applications to Internal Controls. Expert Systems with Applications, 38(2011), 11176–11181. https://doi.org/10.1016/j.eswa.2011.02.16310.1016/j.eswa.2011.02.163Search in Google Scholar

Arthur, D., & Vassilvitskii, S. (2007). K-Means++: the Advantages of Careful Seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1027–1025). https://doi.org/10.1145/1283383.1283494Search in Google Scholar

Berkhin, P. (2006). A Survey of Clustering Data Mining Techniques. In: Grouping Multidimensional Data (pp. 25–71). https://doi.org/10.1007/3-540-28349-8_210.1007/3-540-28349-8_2Search in Google Scholar

Bošnjak, Z., Grljević, O., & Dimitrijević, M. (2018). Primena inteligentnih tehnologija u visokom obrazovanju. Anali Ekonomskog fakulteta u Subotici, 54, 291–303.10.5937/AnEkSub1839291BSearch in Google Scholar

Carneiro, J., Rodrigues, L. L., & Craig, R. (2017). Assessing International Accounting Harmonization in Latin America. Accounting Forum, 41, 172–184. https://doi.org/10.1016/j.accfor.2017.06.00110.1016/j.accfor.2017.06.001Search in Google Scholar

Cascino, S., & Gassen, J. (2015). What Drives the Comparability Effect of Mandatory IFRS Adoption? Review of Accounting Studies, 20(1), 242-282. https://doi.org/10.1007/s11142-014-9296-510.1007/s11142-014-9296-5Search in Google Scholar

Chand, P., & Patel, C. (2008). Advances in Accounting, Incorporating Advances in International Accounting Convergence and Harmonization of Accounting Standards in the South Pacific Region. Advances in Accounting, 24, 83–92. https://doi.org/10.1016/j.adiac.2008.05.00210.1016/j.adiac.2008.05.002Search in Google Scholar

Commission, E. (2014). Effects of Using International Financial Reporting Standards (IFRS) in the EU: Public Consultation [WWW Document]. [online] Available at: http://ec.europa.eu/finance/consultations/2014/ifrs/index_en.htm [Accessed in December 2019].Search in Google Scholar

Commission, E. (2018). Communication from the Commission to the European parliament, the Council, the European economic and social committee and the Committee of the regions [WWW Document]. [online] Available at: https://ec.europa.eu/commission/sites/beta-political/files/communication-credible-enlargement-perspective-western-balkans_en.pdf [Accessed in April 2020].Search in Google Scholar

Croasmun, J. T., & Ostrom, L. (2011). Using Likert-Type Scales in the Social Sciences. Journal of Adult Education, 1(40), 19–22. https://doi.org/10.1007/s10640-011-9463-010.1007/s10640-011-9463-0Search in Google Scholar

Deloitte Global Services Limited (2018). European Commission Concludes Evaluation of the IAS Regulation [WWW Document]. [online] Available at: https://www.iasplus.com/en/news/2015/06/ias-regulation [Accessed in May 2020].Search in Google Scholar

Ding, Y., Hope, O. K., Jeanjean, T., & Stolowy, H. (2007). Differences between Domestic Accounting Standards and IAS: Measurement, Determinants and Implications. Journal of Accounting and Public Policy, 26(2007), 1–38.10.1016/j.jaccpubpol.2006.11.001Search in Google Scholar

Fontes, A., Rodrigues, L. L., & Craig, R. (2005). Measuring Convergence of National Accounting Standards with International Financial Reporting Standards. Accounting Forum, 29(4), 415–436. https://doi.org/10.1016/j.accfor.2005.05.00110.1016/j.accfor.2005.05.001Search in Google Scholar

Haga, J., Siekkinen, J., & Sundvik, D. (2015). Expert Systems with Applications Initial Stage Clustering when Estimating Accounting Quality Measures with Self-organizing Maps. Expert Systems with Applications, 42(2015), 8327–8336.10.1016/j.eswa.2015.06.049Search in Google Scholar

Hsu, C. C., & Sandford, B. A. (2007). The Delphi Technique: Making Sense of Consensus. Practical Assessment Research & Evaluation, 12(10). Available: http://pareonline.net/getvn.asp?v=12&n=1010.7748/paed.19.7.10.s18Search in Google Scholar

International Federation of Accountants (2016). IFAC Global SMP survey: 2016 Results. Available: https://www.ifac.org/knowledge-gateway/contributing-global-economy/publications/2016-ifac-global-smp-survey-report-summarySearch in Google Scholar

Likert, R. (1932). A technique for the Measurement of Attitudes Pt2. Archives of Psychology, (140)22, 21–55.Search in Google Scholar

Malinić, D., Novićević, B., Malinić, S., & Stojanović, R. (2016). Računovodstveni regulatorni okvir i kvalitet finansijskog izveštavanja u Republici Srbiji – istraživačka studija. Belgrade: Serbian Association of Accountants and Auditors. Available: http://www.srrs.rs/hitno/studija1.html?v=1Search in Google Scholar

Milutinović, S. (2016). Savremeni trendovi u harmonizaciji finansijskog izveštavanja. PHD thesis. University in Novi Sad. [online] Available: https://nardus.mpn.gov.rs/bitstream/handle/123456789/4678/Disertacija387.pdf?sequence=7&isAllowed=y [Accessed in March 2020].Search in Google Scholar

Milutinović, S. (2014). Stepen konvergencije računovodstvene regulative u Srbiji sa međunarodnom regulativom. Računovodstvo, 9-10/2014, 40–55.Search in Google Scholar

Ministry of Finance of the Republic of Serbia (2019). Law on Accounting. Official Gazette of the Republic of Serbia, No. 62/2013, 30/2018 and 73/2019. [online] Available: https://www.mfin.gov.rs/UserFiles/File/zakoni/2013/ZAKON%20O%20RACUNOVODSTVU.pdf [Accessed in March 2020].Search in Google Scholar

Ministry of Finance of the Republic of Serbia (2019). Law on Auditing. Official Gazette of the Republic of Serbia, No. 73/2019. [online] Available: http://www.mfin.gov.rs/UserFiles/File/zakoni/2018/Zakon%20o%20reviziji.pdf [Accessed in March 2020].Search in Google Scholar

Ministry of Finance of the Republic of Serbia (2017). Opinion on the application of the selected accounting regulations in continuity pursuant to Article 21, paragraph 3 and Article 22, paragraph 3 of the Law on Accounting. No. 011-00-158/2017-16 of 1st March 2017, pp. 204-206. Available: http://www.mfin.gov.rs/UserFiles/File/bilten%20strucna%20misljenja/2017/BILTEN%203-2017.pdfSearch in Google Scholar

Nerurkar, P., Shirke, A., Chandane, M., & Bhirud, S. (2018). Empirical Analysis of Data Clustering Algorithms. Procedia Computer Science, 125, 770–779. https://doi.org/10.1016/j.procs.2017.12.09910.1016/j.procs.2017.12.099Search in Google Scholar

Nunnally, J. C. (1979). Psychometric Theory. New York: McGraw-Hill.Search in Google Scholar

Okoli, C., & Pawlowski, S. D. (2004). The Delphi Method as a Research Tool: An Example, Design Considerations and Applications. Information & Management, 42(2004), 15–29. https://doi.org/10.1016/j.im.2003.11.00210.1016/j.im.2003.11.002Search in Google Scholar

Palacios-Manzano, M., & Martinez-Conesa, I. (2014). Assessing the Impact of IFRS Adaptation on Earnings Management: An Emerging Market Perspective. Transformations in Business & Economics, 31, 21–40.Search in Google Scholar

Pavot, W., Diener, E., Colvin, C. R., & Sandvik, E. (1991). Further Validation of the Satisfaction with Life Scale. Journal of Personality Assess, 57(1), 149–161.10.1207/s15327752jpa5701_17Search in Google Scholar

Peng, S., & van der Laan Smith, J. (2010). Chinese GAAP and IFRS: An Analysis of the Convergence Process. Journal of International Accounting, Auditing and Taxation, 19(2010), 16–34. https://doi.org/10.1016/j.intaccaudtax.2009.12.00210.1016/j.intaccaudtax.2009.12.002Search in Google Scholar

Qu, X., & Zhang, G. (2008). Measuring the Convergence of National Accounting Standards with International Financial Reporting Standards: The Application of Fuzzy Clustering Analysis. The International Journal of Accounting, 45(3), 334–355. https://doi.org/10.1016/j.intacc.2010.06.00810.1016/j.intacc.2010.06.008Search in Google Scholar

Quah, C.H. (2014). Revisiting Business Cycles in the Eurozone: A Fuzzy Clustering and Discriminant Approach. Acta Oeconomica, 64(2), 161–180. https://doi.org/10.1556/AOecon.64.2014.2.210.1556/aoecon.64.2014.2.2Search in Google Scholar

Rezaee, Z., Smith, L. M., & Szendi, J. Z. (2010). Convergence in Accounting Standards: Insights from Academicians and Practitioners. Advances in Accounting, 26(2010), 142–154. https://doi.org/10.1016/j.adiac.2010.01.00110.1016/j.adiac.2010.01.001Search in Google Scholar

Socoliuc, M., Bostan, I., Grosu, V., Hlaciuc, E., Mihalciuc, C., Colbu, I., & Mates, D. (2012). Compatibility of the Romanian Accounting System with the Standard IAS/IFRS System. Strategic Management, 17(2012), 54-63. Available: http://www.ef.uns.ac.rs/sm/archive/SM2012_3.pdfSearch in Google Scholar

Syakur, M. A., Khotimah, B. K., Rochman, E. M. S., & Satoto, B. D. (2018). Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster. In: IOP Conference Series: Materials Science and Engineering. p. 012017. https://doi.org/10.1088/1757-899X/336/1/01201710.1088/1757-899X/336/1/012017Search in Google Scholar

Tabachnick, B., & Fidell, L. (2013). Using Multivariate Statistics. Boston: Pearson.Search in Google Scholar

Tan, P. N., Steinbach, M., & Kumar, V. (2007). Introduction to Data Mining. Boston: Pearson.Search in Google Scholar

The European Parliament and the Council of the European Union (2004). Regulation (EC) No 726/2004 of the European Parliament and of the Council. Official Journal of European Union, L 136, 30.4.2004. Available: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32004R0726&from=enSearch in Google Scholar

Thiprungsri, S., & Vasarhelyi, M. (2011). Cluster Analysis for Anomaly Detection in Accounting Data: An Audit Approach. The International Journal of Digital Accounting Research, 11(2011), 69–84. https://doi.org/10.4192/1577-8517-v1110.4192/1577-8517-v11_4Search in Google Scholar

Trninić, J., Grljević, O., & Serdar, A.M. (2011). Utilization of intelligent methods and techniques for customer knowledge management. The Perspectives of Innovations, Economics and Business, 7(1), 48–50.10.15208/pieb.2011.11Search in Google Scholar

Večerskienė, G., Valančienė, L., & Boguslauskas, V. (2008). Training Accounting Specialists at Kaunas University of Technology Economics and Management Faculty: Past, Present and Perspectives. Inzinerine Ekonomika - Engineering Economics, 4(59), 9-17.Search in Google Scholar

Weka – The workbench for machine learning (2019). University of Waikato. Available at: https://www.cs.waikato.ac.nz/ml/weka/Search in Google Scholar

Yang, H., & Yuan, C. (2019). Research on K-Value Selection Method of K-Means. Multidisciplinary Scientific Journal, 2(2), 226-235. https://doi.org/10.3390/j202001610.3390/j2020016Search in Google Scholar

eISSN:
2217-3668
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Business and Economics, Political Economics, other, Business Management