Problemas Relevantes de Imparidade de Ativos Intangíveis na Indústria de TI da Rússia
DOI:
https://doi.org/10.14571/brajets.v16.n4.1228-1237Resumo
The IT-industry is evolving rapidly and beginning to penetrate all areas of life. Large companies are forming ecosystems that allow them to significantly expand and diversify their sources of income. In the case of the IT industry, the development of the software base for implementing such ecosystems depends directly on new software products, patents, technologies and know-how, which in modern accounting are mostly classified as intangible assets. Thus, examining the impact of external and internal factors on the impairment of this type of asset is a highly relevant issue in the current environment. This paper will focus on intangible assets of major Russian IT companies such as Yandex and VK.Group. The study includes an analysis of the relevant literature and regulatory framework on intangible asset impairment, as well as an examination of the dynamics of Yandex and VK.Group's statement of financial position performance related to this issue. The research is planned to outline the specifics of intangible assets impairment in the industry and the issues that arise during this process. Based on the results, IT companies expanded their asset base due to the active expansion of services and sources of income. As Yandex expanded, its share of intangible assets increased, while VK.Group reduced their share of intangible assets.Referências
Agusmidah, A., Wijayanti, A., Shalihah, F., & Lumbangaol, D. A. The financial protection of Indonesian migrant workers and its economic consequences, economic annals xxi, 187(5-6)34-39.
Bekmansurov, R. H., Kovalenko, K. E., Utkina, K. M., Novikova, Y. A., & Zatsarinnaya, E. I. (2019). State support for persons with disabilities in the field of entrepreneurship. Journal of Entrepreneurship Education, 22, 1-9.
Bobyleva, K. V. (2022). The Contribution of Intangible Assets to the Growth of the Russian Economy. Review of Income and Wealth, 68, S52-S70.
Bykova, O. N., Garnov, A. P., Morkovkin, D. E., Stroev, P. V., Rudenko, L. G., Zonova, A. V., ... & Isaicfiykova, N. I. (2019). Comparative analysis of Russian and foreign experience in managing enterprises' intellectual property. Journal of Advanced Research in Law and Economics, 10(4 (42)), 1046-1054.
Ebe, C. O., Salawu, R. O., & Aguguom, T. A. (2023). IAS 38 intangible assets and firm performance: Empirical evidence from selected consumer goods manufacturing companies listed in Nigeria. International Journal of Innovative Research and Scientific Studies, 6(3), 570-577.
Hidayat, N. A., & Sebayang, A. N. O. (2022). A socio-economic analysis of the role of medical drones in the era of the COVID-19 pandemic. Economic Annals-XXI, 197(5-6), 32-36.
Ivankova, G., Mochalina, E., Dubolazova, Y., Zaytcev, D., & Korenev, M. (2021, October). Assessment of M&A strategy: the case of YANDEX company. In Proceedings of the 3rd International Scientific Conference on Innovations in Digital Economy (pp. 67-73).
Konopatov, S. N., & Salienko, N. V. (2018). Analysis of business models based on platforms. Scientific journal of NIUITMO. Series: Economics and Environmental Management, 1(32), 21-32.
Nabipour, M., Nasseri, S. H., & Tavakoli Saber, E. (2021). Comparison and evaluation of built environment factors for developing pedestrian urban travels. Fuzzy Information and Engineering, 13(4), 505-521.
Nikolay, V., & Svyatoslav, P. (2022). Prospects of Ecosystems Development in the Russian Consumer Market. Корпоративные финансы, 16(3), 71-84.
Panasenko, S., Karashсhuk, O., Krasil’nikova, E., Mayorova, E., & Nikishin, A. (2020). Analysis of intangible assets of online stores in Russia. International Journal of Management, 11(5).
Tightiz L, Yoo J. Towards Latency Bypass and Scalability Maintain in Digital Substation Communication Domain with IEC 62439-3 Based Network Architecture. Sensors. 2022 Jun 29;22(13):4916.
Voronkova, O. Y., Volokhova, T. V., Lebedeva, E. S., Smirnova, A. V., & Tubalets, A. A. (2022). Priorities for the development of medicinal plant growing in a post-pandemic environment. Siberian Journal of Life Sciences and Agriculture, 14(1), 436-451. doi:10.12731/2658-6649-2022-14-1-436-451
Xiong, F., Xie, M., Zhao, L., Li, C., & Fan, X. (2022). Recognition and evaluation of data as intangible assets. Sage Open, 12(2), 21582440221094600.
Yaskevich R.A., & Moskalenko O.L. (2020). Features OF Left Ventricular Remodeling Options in Male Migrants of the Far North with Arterial Hypertension, Different Constitutional Types. Siberian Journal of Life Sciences and Agriculture, 12(5), 150-164, doi: https://doi.org/10.12731/2658-6649-2020-12-5-150-164
Yemelyanov V., Yemelyanova N., & Nedelkin A. (2018). Neural network for decision support to determine the operating mode of lined equipment. MATEC Web of Conferences, 224, 04005. DOI: 10.1051/matecconf/201822404005.
Zainal, A. G., Djimat, H., Rudy, R., Suciska, W., & Djausal, G. P. (2022) Economic analysis and investment in fuel industry considering risk management by analytical hierarchy process. Economic Annals-XXI, 196(5-6).
Žunjić, M., Demić, M., Rakićević, B., & Đorđević, B. (2022). Contribution to the investigation of the influence of tire non-uniformity on the lateral tire characteristics. Journal of Applied Engineering Science, 20(2), 562-570. doi:10.5937/jaes0-32961
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Copyright (c) 2024 Natalia Prodanova, Olga Tarasova , Vitalii Volobuev , Roman Aleshko, Irina Vaslavskaya, Rustem Shichiyakh
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