The Big Data in Financial Reporting: A Bibliometric Analysis of Global Research Trends

Main Article Content

Ahmad Najib

Abstract

This study aims to analyze the utilization of Big Data in financial reporting through bibliometric analysis and to identify global research trends in this field. In an increasingly complex and dynamic business environment, financial reports serve as a crucial tool for communication between companies and stakeholders, including investors, creditors, and regulators. The exponential growth of data presents challenges in effectively managing and analyzing this information, where Big Data offers opportunities to enhance accuracy, efficiency, and transparency in financial reporting. Using data from leading academic databases such as Scopus and Publish or Perish, the analysis reveals a significant increase in publications related to Big Data in financial reporting over the past decade, reflecting the growing interest in leveraging Big Data technologies to improve financial practices. This study identifies prominent authors and institutions contributing to this literature and highlights dominant research themes such as predictive analytics, data-driven decision-making, transparency and accountability, as well as the integration of new technologies such as artificial intelligence and machine learning. Despite the vast potential offered by Big Data, challenges such as data quality, security and privacy issues, and the need for adequate skills and resources are also identified. The study emphasizes the importance of cross-disciplinary collaboration in advancing this field and suggests that further exploration is needed regarding the challenges and opportunities in the application of Big Data in the financial sector to enhance existing reporting practices.

Article Details

How to Cite
Najib, A. (2024). The Big Data in Financial Reporting: A Bibliometric Analysis of Global Research Trends. TOFEDU: The Future of Education Journal, 3(5), 1473–1480. https://doi.org/10.61445/tofedu.v3i5.262
Section
Articles

References

De Mauro, A., Greco, M., & Grimaldi, M. (2015). What is big data? A consensual definition and a review of key research topics. AIP Conference Proceedings, 1644(1), 97–104. https://doi.org/10.1063/1.4907823

Ghasemaghaei, M., & Calic, G. (2019). Does big data enhance firm innovation competency? The mediating role of data-driven insights. Journal of Business Research, 104, 59–84. https://doi.org/10.1016/j.jbusres.2019.07.006

Waller, M., & Fawcett, S. (2013). Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77–84. https://doi.org/10.1111/jbl.12010

Yusuf Syaifulloh, N., Ulfah, M. N., Nurhidayah, D. A., Kolin, R., & Setiawan, M. S. (2023). Analisis bibliometrik financial distress: Publikasi ilmiah dunia pada tahun 2018-2023. Jurnal Ekonomi dan Bisnis, 18(1), 151–164.

Kwon, W. J., & Lee, C. (2020). Big data analytics in financial reporting: An exploration of trends and challenges. Journal of Financial Reporting and Accounting, 18(3), 372–397. https://doi.org/10.1108/JFRA-06-2019-0103

Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188. https://doi.org/10.2307/41703503

Bhimani, A., & Willcocks, L. P. (2014). Digitization, 'big data' and the transformation of accounting information systems. Journal of Information Systems, 28(2), 125–141. https://doi.org/10.2308/isys-50760

Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2011). How and why do performance measurement systems influence organizational outcomes? Journal of Information Systems, 25(2), 71–105. https://doi.org/10.2308/jis.2011.25.2.71