2022
DOI: 10.1108/ijaim-11-2021-0242
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Determinants of eXtensible business reporting language adoption: an institutional perspective

Abstract: Purpose This paper aims to examine the institutional factors that influence the adoption of eXtensible Business Reporting Language (XBRL) at the country level. Design/methodology/approach The authors use a large sample of 175 developed and developing countries over 14 years. Data is obtained from different sources including, World Development Indicators, the Reports on the Observance of Standards and Codes (ROSC) website and the Quality of Government database. Findings The results highlight the significanc… Show more

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Cited by 12 publications
(4 citation statements)
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“…Kim et al (2012) show that adopting XBRL technology in the financial reporting process leads to better disclosure and lower information asymmetry. Generally, regulators tend to use XBRL to enhance the transparency of capital markets for actual and potential investors (Borgi and Tawiah, 2022).…”
Section: Literature Review and Hypotheses Developmentmentioning
confidence: 99%
“…Kim et al (2012) show that adopting XBRL technology in the financial reporting process leads to better disclosure and lower information asymmetry. Generally, regulators tend to use XBRL to enhance the transparency of capital markets for actual and potential investors (Borgi and Tawiah, 2022).…”
Section: Literature Review and Hypotheses Developmentmentioning
confidence: 99%
“…IFR allows dynamic kinds of presentation unavailable in the paper paradigm, including direct user engagement with corporate databases, multimedia, and video sound. XBRL, an XML‐based protocol for fast, automated financial data retrieval, is one of IFR's latest innovations (Borgi & Tawiah, 2022; Kesavan et al, 2021). The benefits of publishing financial performance information through this IFR include presenting information more often, relatively low costs, attractive presentations, comprehensive coverage, profiling, and unique access, and increasing the image.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…The results suggest that there is a presence of the first-order autocorrelation of random errors and indicate that the Homoskedacity assumption is not satisfied. Hence, we cluster standard errors in two dimensions between firms and years to correct the potential effect of heteroscedasticity and autocorrelation (Borgi & Tawiah, 2022;Gow et al, 2010). This method is also used by Borgi et al (2021) and Baatwah et al (2015).…”
Section: Multivariate Regressionmentioning
confidence: 99%