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Big Data analytics and financial reporting quality: qualitative evidence from Canada

Isam Saleh (Accounting Department, Faculty of Business, Al-Zaytoonah University of Jordan, Amman, Jordan)
Yahya Marei (Accounting Department, Seneca College of Applied Arts and Technology, Toronto, Canada)
Maha Ayoush (Accounting Department, Faculty of Business, Al-Zaytoonah University of Jordan, Amman, Jordan)
Malik Muneer Abu Afifa (Accounting Department, Faculty of Business, Al-Zaytoonah University of Jordan, Amman, Jordan)

Journal of Financial Reporting and Accounting

ISSN: 1985-2517

Article publication date: 8 July 2022

Issue publication date: 21 March 2023

2491

Abstract

Purpose

Big Data analytics (BDA) and its implications for the accounting profession continue to be a key issue that requires more research and evaluation. As a result, the purpose of this study is to evaluate the impact of BDA on financial reporting quality, as well as to assess the accounting challenges associated with Big Data. It provides qualitative evidence from Canada.

Design/methodology/approach

This study used a qualitative approach to ascertain the thoughts and perceptions of auditors, financial analysts and accountants at Canadian audit and accounting firms in BDA and its impact on financial reporting quality, using semi-structured interviews. To obtain their consent to participate in the interview, 127 auditors, financial analysts and accountants from Canadian audit and accounting firms were initially approached. The final number of respondents was 41, representing a response rate of 32%.

Findings

The authors’ findings underscored the relevance of Big Data and BDA in affecting financial report quality and revealed that BDA had a significant effect on improving financial reporting quality. Big Data improves accounting reporting and expert judgment by providing professional. In summary, participants agreed that when analytical methods in Big Data are implemented effectively, businesses may possibly achieve a variety of benefits, including customized goods, simplified processes, improved risk assessment process and, finally, increased risk management.

Practical implications

The authors’ findings indicate that BDA may help predict investment returns and risks, estimate future investment opportunities, forecast revenues, detect fraud and susceptibility early and identify economic growth opportunities. As a result, auditors, financial analysts, accountants, investors and other strategic decision-makers should be aware of these findings to make informed choices.

Originality/value

Big Data has become the norm in recent years; accountants and other decision-makers have struggled to analyze massive amounts of data. This limits their capacity to profit from such data even more. Therefore, this study is motivated by the lack of research on Big Data’s influence on financial report quality.

Keywords

Citation

Saleh, I., Marei, Y., Ayoush, M. and Abu Afifa, M.M. (2023), "Big Data analytics and financial reporting quality: qualitative evidence from Canada", Journal of Financial Reporting and Accounting, Vol. 21 No. 1, pp. 83-104. https://doi.org/10.1108/JFRA-12-2021-0489

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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