Concepts‐based Accounting Standards.
While comparability across firms and consistency over time are generally held to be fundamental goals of financial reporting, I provide an analytic representation of a concept that explains why concepts‐based accounting standards cannot assure comparability and why their induced consistency may not...
| Publicado en: | Abacus Vol. 58; no. 2; pp. 209 - 233 |
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| Formato: | Artículo |
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Wiley-Blackwell
Jun2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=157396956&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 157396956 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00013072 AUB jtl: Abacus issn: 00013072 maglogo: Y pubinfo: dt: Jun2022 vid: 58 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 157396956 10.1111/abac.12240 ppf: 209 ppct: 24 formats: fmt: @attributes: type: P size: 1MB tig: atl: Concepts‐based Accounting Standards. aug: su: Accounting standards International Financial Reporting Standards Cognitive science Financial statements Machine learning sug: subj: Accounting standards International Financial Reporting Standards Cognitive science Financial statements Machine learning keyword: Comparability Concepts‐based standards Consistency Hysteresis S‐curve Vagueness ab: While comparability across firms and consistency over time are generally held to be fundamental goals of financial reporting, I provide an analytic representation of a concept that explains why concepts‐based accounting standards cannot assure comparability and why their induced consistency may not always be desirable. While the term 'concepts‐based accounting standards' has not caught on in the academic and professional literatures, its use here emphasizes the foundational role that language‐based concepts play in constructing accounting standards. I appeal to the academic literature in machine learning, neural networks, and especially cognitive science—all of which may represent concepts by S‐curve (sigmoid) signatures. I then show how S‐curves can explain an accounting standard's (1) precision, (2) comparability across firms, (3) demands placed on judgement, and (4) consistency across time. Accordingly, an S‐curve formulation may guide both analytical modelling of accounting standards and add structure to empirical research designs. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Abacus is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Abacus holder: Wiley-Blackwell dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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