DIGITALIZATION OF INFORMATION PROCESSES OF AUDITING
Abstract and keywords
Abstract (English):
Th e article reveals the possibilities of transition of audit organizations to digital technologies, identifi es areas of application of big data analysis and artifi cial intelligence technology for processing and analyzing audited information, collecting, evaluating audit evidence and solving other intellectual problems. Th e article identifi es information processes in relation to auditing, gives their classifi cation based on the types of tasks to be solved, identifi es types of information when using digital technologies, and proposes a scheme of the intellectual system of audit activity.

Keywords:
digital economy, digital technology, audit activity, artifi cial intelligence, Big Data, information processes
References

1. L'vov D.S., Glaz'ev S.Yu. Teoreticheskie i prikladnye aspekty upravleniya NTP // Ekonomika i matematicheskie metody. - 1986. - № 5. - C. 793-804.

2. Pozharickaya I.M. Kognitivnyy audit: novaya paradigma // Auditor. 2017. - № 7. - S. 11−15.; DOI: https://doi.org/10.12737/article_596c5f7c0bb9c3.59310355; EDN: https://elibrary.ru/ZASZBP

3. Luo J., Hu Zh., Wang L. Research on CPA Auditing Reform Strategy Under the Background of Artificial Intelligence // Advances in Social Science, Education and Humanities Research. 2nd International Conference on Management, Education and Social Science. 2018. Vol. 176. pp. 935−939.

4. Volkova O.N. O buduschem (buhgalterskogo) ucheta - professii i akademicheskoy discipliny // Auditorskie vedomosti. 2017. № 5-6. C. 31-42.; EDN: https://elibrary.ru/YPQCMP

5. Welch O.J., Reeves T.E., Welch S.T. Using a genetic algorithm-based clas-sifier system for modeling auditor decision behavior in a fraud setting // International Journal of Intelligent Systems in Accounting. 1998. Vol. 7. pp. 173-186.

6. Baldwin A.A., Brown C.E., Trinkle B.S. Opportunities for artificial intelli-gence development in the accounting domain: the case for auditing // Intelligent systems in accounting, finance and management. 2006, Vol. 14, C. 77-86. DOI:https://doi.org/10.1002/isaf.277 URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/isaf.277.

7. Calderon T.G., Cheh J.J. A roadmap for future neural research in auditing and risk assessment // International Journal of Accounting Information Systems. 2002. Vol. 3-4, pp. 203-236.

8. Koh H.C. Going concern prediction using data mining techniques // Mana-gerial Accounting Journal. 2004. № 19(3), pp. 462−476.

9. Soboleva G.V. Ispol'zovanie metoda bol'shih dannyh dlya ocenki riskov nedobrosovestnyh deystviy // Auditorskie vedomosti. - 2017. - № 5. - S. 173-184.; EDN: https://elibrary.ru/YPQCRF

10. Egorova I.S. Ispol'zovanie dannyh internet-sredy v audite // Auditor. - 2019. - № 5. - S. 14−28; DOI: https://doi.org/10.12737/article_5cde6794126b30.86281111; EDN: https://elibrary.ru/FDXQWC

11. Tihonov E.E., Vorohobina Ya.V. Cifrovaya ekonomika: novye paradigmy razvitiya cifrovyh valyut i prilozhenie tehnologiy blokcheyn v audite // Nauchnyy vestnik Gosudarstvennogo avtonomnogo obrazovatel'nogo uchrezhdeniya vysshego professional'nogo obrazovaniya «Nevinnomysskiy gosudarstvennyy gumanitarno-tehnicheskiy institut». - 2018. - № 1. - S. 128−131.; EDN: https://elibrary.ru/XRVDWP

12. Informacionnye tehnologii: uchebnik / Yu.Yu. Gromov, I.V. Didrih, O. G. Ivanova, M.A. Ivanovskiy, V.G. Odnol'ko. - Tambov : Izd-vo FGBOU VPO «TGTU», 2015. - 260 s.; EDN: https://elibrary.ru/ZGJYXR

13. Beluha N.T. Audit: uchebnik. - Kiev : Znaniya, 2000. - 769 s.

14. Kozmenkova S.V., Kemaeva S.A. Audit: problemnye voprosy i puti razvitiya // Mezhdunarodnyy buhgalterskiy uchet. - 2015. - № 3 (345). - S. 31-43.; EDN: https://elibrary.ru/TLXPWT

15. Yudinceva L.A. Auditorskie dokazatel'stva kak ob'ektivnaya osnova mneniya auditora // Mezhdunarodnyy buhgalterskiy uchet. - 2016. - № 12 (402). - S. 41-51.; EDN: https://elibrary.ru/WBAYEN

16. Bychkova S.M., Itygilova E.Yu. Kachestvo v audite // Auditor. - 2014. - № 8 (234). - S. 14-27.; EDN: https://elibrary.ru/SJSJAF

17. Radchenko I.A, Nikolaev I.N. Tehnologii i infrastruktura Big Data. - Sankt-Peterburg : Universitet ITMO, 2018. - 52 s.; EDN: https://elibrary.ru/FSKHMF

18. Pankova S.V. Metodologiya i praktika regulirovaniya kachestva audita : monografiya. - Orenburg : IPK OGU, 2002. - 205 s.; EDN: https://elibrary.ru/ROVKAR

19. Sirotenko E.A. Perspektivy razvitiya teoretiko-metodologicheskogo apparata audita i standartizacii auditorskoy deyatel'nosti // Ekonomicheskiy analiz: teoriya i praktika. - № 10 (175). - 2010. - S. 31−35.; EDN: https://elibrary.ru/LARNIF

20. Azarskaya M.A. Metodologiya audita i razvitie metodicheskogo obespecheniya ego kachestva : monografiya. - Yoshkar-Ola : String, 2009. - 195 s.; EDN: https://elibrary.ru/QTWKUR

21. Formal'naya logika / pod. red. I.Ya. Chupahina, I.N. Brodskogo. - Leningrad : Izd-vo Leningr. un-ta, 1977. - 356 s.

22. Pavlov S.N. Sistemy iskusstvennogo intellekta. Ch. 1.: ucheb. posobie. - Tomsk : El' Kontent, 2011. -176 s.; EDN: https://elibrary.ru/RBBTKV

23. Ostrouh A.V. Intellektual'nye sistemy. - Krasnoyarsk : Nauchno-innovacionnyy centr, 2015. - 110 s.

24. Hmel'nickaya I.V., Gerasimuk Ya.V. Tehnologii cifrovoy transformacii: klassifikaciya na urovne apparatnoy, programmnoy i pol'zovatel'skih sostavlyayuschih // Upravlenie ekonomicheskimi sistemami: elektronnyy nauchnyy zhurnal. - 2018. - № 10 (116). - S. 21.; EDN: https://elibrary.ru/YNRWSL

25. Karelin V.P. Intellektual'nye tehnologii i sistemy iskusstvennogo intellekta dlya podderzhki prinyatiya resheniy // Vestnik Taganrogskogo instituta upravleniya i ekonomiki. - 2011. - № 2. - S. 79-84.; EDN: https://elibrary.ru/OOZIXP

Login or Create
* Forgot password?