Big Data Opportunities for Accounting and Finance Practice and Research

Abstract

We examine the research opportunities for the use of 'big data' in accounting and finance. The purpose of the study is to present a snapshot of big data academic research in information systems, accounting and finance, and to highlight areas for further research in accounting and finance. The research question addressed in this work is: What are the major themes in existing research in big data and where are the resulting gaps in the accounting and finance literature? An analysis is presented of 47 accounting, finance and information systems journals from 2007-2016. We identify and sample the relevant literature to derive a taxonomy of themes. These themes are presented as a conceptual matrix in which the themes from the taxonomy are used as concepts, and the matrix identifies where they appear, and where there are potential areas for further research. Prior research in big data in accounting, finance and information systems falls into six themes. The six under-researched areas of big data in accounting and finance are risk and security, data visualisation and predictive analytics, data management and data quality. Increased research in these areas will lead to improvements in industry practices, and opportunities for cross-disciplinary research.

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