Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32030
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dc.contributor.authorArtemenkov, A-
dc.contributor.authorNandy, M-
dc.contributor.authorAzamov, J-
dc.contributor.authorGaniev, O-
dc.contributor.authorKumar, A-
dc.date.accessioned2025-09-24T08:10:29Z-
dc.date.available2025-09-24T08:10:29Z-
dc.date.issued2025-09-02-
dc.identifierORCiD: Monomita Nandy https://orcid.org/0000-0001-8191-2412-
dc.identifier.citationArtemenkov, A. et al. (2025) 'IFRS Transition in The Republic of Uzbekistan: An Analytical ‎Perspective on PP&E Impairment', International Journal of Accounting and Economics Studies, 25 (9), pp. 125 - 136. doi: 10.14419/chjmmt60.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/32030-
dc.descriptionDeclaration on AI use: Given that English is not the first language of authors, AI tools, such as Grammarly and ChatGPT, have been used to a moderate extent to aid in textual paraphrasing and literature search only. AI tools haven’t been used for any other purpose, including the development of the proposed algorithm or undertaking the analysis of model findings.en_US
dc.description.abstractThis study examines asset revaluation and impairment under International Financial Reporting ‎Standards (IFRS), with a focus on Uzbekistan's first-time adoption. Specifically, it focuses on the ‎implementation of first-time value-in-use-based impairment tests for PP&E assets. ‎ To address the development gap for highly-granular automated impairment and reversal algo‎rithms identified in the accounting operations literature, we develop a dynamic discrete-period ‎technique for impairment and reversal transformations of assets’ costs that efficiently discrimi‎nates for the commissionings and disposals in PP&E inventory over the standard two-year IFRS ‎transition period. The case study application of this algorithm finds evidence to indicate successful-performing automated impairment and reversal allocations at the level of individual ‎PP&E assets in the stress-test-like context of Covid-era-associated high volatilities in values-in-use for the transitioning entity. It is shown that the proposed algorithm effectively safeguards against the over-reversal of impairments, ensuring full compliance with IAS 36’s paragraph 117 requirements.‎ ‎ The findings will extend the accounting literature related to developing impairment and reversal ‎algorithms of high granularity. In practical terms, the findings will also contribute to the literature ‎on first-time IFRS adoption by highlighting the intricacies of asset revaluation and impairment in ‎IFRS transitional contexts confronted by developing countries, specifically Uzbekistan’s unique ‎IFRS transitional context, wherein large state-controlled entities underwent IFRS transition amid ‎the COVID pandemic, necessitating drastic initial impairments followed by partial reversals as ‎economic conditions improved. The description of this experience can be of value in similar ‎transitional contexts‎.en_US
dc.format.medium125 - 136-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherScience Publishing Corporationen_US
dc.rightsCreative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectIFRS adoptionen_US
dc.subjectimpairment testsen_US
dc.subjectimpairment reversalen_US
dc.subjectvalue in useen_US
dc.subjectcash-generating uniten_US
dc.subjectUzbekistanen_US
dc.subjectIAS 36en_US
dc.titleIFRS Transition in The Republic of Uzbekistan: An Analytical ‎Perspective on PP&E Impairmenten_US
dc.typeArticleen_US
dc.date.dateAccepted2025-08-23-
dc.identifier.doihttps://doi.org/10.14419/chjmmt60-
dc.relation.isPartOfInternational Journal of Accounting and Economics Studies-
pubs.publication-statusPublished online-
pubs.volume25-
dc.identifier.eissn2309-4508-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2025-08-23-
dc.rights.holderAndrey Artemenkov et al.-
Appears in Collections:Brunel Business School Research Papers

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