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AI's influence on corporate transparency and financial performance: a new era

Adel Almasarwah et al.

International Journal of Behavioural Accounting and Finance2024https://doi.org/10.1504/ijbaf.2024.143833article
ABDC C
Weight
0.43

What the paper says

This study explores the transformative impact of artificial intelligence (AI) on corporate transparency and financial performance, heralding a paradigm shift in the business landscape. As AI technologies continue to evolve, they revolutionise traditional models of financial reporting and disclosure. Through comprehensive semi-structured interviews, this research illuminates how AI-driven tools enhance data accuracy, streamline reporting processes, and provide real-time insights into financial performance. The integration of AI not only augments transparency but also contributes to strategic decision-making, risk management, and investor confidence. This investigation serves as a timely exploration into the dynamic synergy between AI and corporate financial practices, unveiling a new era where technology catalyses a profound shift towards heightened transparency and optimized financial performance. The study's findings are crucial for managers and policymakers seeking to navigate and leverage the complexities of AI in enhancing corporate governance and performance.

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Cite this paper

https://doi.org/https://doi.org/10.1504/ijbaf.2024.143833

Or copy a formatted citation

@article{adel2024,
  title        = {{AI's influence on corporate transparency and financial performance: a new era}},
  author       = {Adel Almasarwah et al.},
  journal      = {International Journal of Behavioural Accounting and Finance},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijbaf.2024.143833},
}

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AI's influence on corporate transparency and financial performance: a new era

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Evidence weight

0.43

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.31 × 0.4 = 0.12
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.