Gardado en:
| Main Authors: | , , |
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| Formato: | Recurso digital |
| Idioma: | |
| Publicado: |
Zenodo
2025
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.5281/zenodo.15366124 |
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Table of Contents:
- <p><span lang="EN-GB">The digital transformation of financial reporting has led to the increasing adoption of real-time financial reporting (RTFR), driven by advancements in artificial intelligence (AI), blockchain, and cloud computing. This study examines how companies are adapting to the demand for real-time financial insights, with a focus on technological advancements, challenges, and financial implications. Using a mixed-methods approach, data were collected from financial reports, regulatory filings, and expert interviews from 2020 to 2024. Empirical findings reveal a strong positive correlation (r = 0.9878) between RTFR adoption and investor confidence, as well as a significant cost savings impact (β = 4.0000) due to automation. Regression analysis confirms that RTFR reduces financial reporting errors by up to 20% while enhancing decision-making efficiency by 35%. Despite these benefits, implementation challenges such as cybersecurity risks, regulatory compliance, and system integration costs persist. The study recommends AI-driven automation, blockchain security, and enhanced compliance frameworks to ensure the successful adoption of RTFR. The findings contribute to the growing discourse on digital financial transparency, providing insights for policymakers, corporate managers, and financial regulators.</span></p>