Accounting and Big Data: Trends, opportunities and direction for practitioners and researchers

Author:

Gabrielli Gianluca,Medioli Alice,Andrei Paolo

Abstract

Big Data, the Internet of Things and Machine Learning are only today starting to be widely used but are already attracting interest. They can generate a significant impact on business management. This article analyses use and exploitation of Big Data by business management, focusing on its role in reshaping accounting information systems. The Internet of Things and Machine Learning play a key role in obtaining insights and value in this complex world. Like other areas of business, the accounting function is showing growing interest in their possible applications. We analyze, from three perspectives, how big data impacts on the accounting role in supporting managers and decision-making process, also with the aim to define future research lines that scholars could explore. An internal perspective focuses on how big data can impact management accounting; an external perspective focuses on a new dimension of financial accounting and disclosure of information; and a third perspective, the control one, fo- cuses on the impact of big data on internal and external audit procedures.

Publisher

Franco Angeli

Subject

General Agricultural and Biological Sciences

Reference56 articles.

1. American Institute of Certified Public Accountants (1988), Statement on Auditing Standards No. 59: The Auditor’s Consideration of an Entity’s Ability to Continue as a Going Concern. (New York: AICPA).

2. Association of Certified Fraud Examiners (ACFE), 2021. 2020 Global Fraud Study. -- Available at: https://www.acfe.com/report-to-the-nations/2020/.

3. Barton D., & Court D. (2012), Making advanced analytics work for you, Harvard Business Review, 90, p. 78.

4. Basoglu K. A., & Hess T. J. (2014), Online Business Reporting: A Signaling Theory Perspective, Journal of Information Systems, 28(2), pp. 67-101,

5. Belfo F., & Trigo A. (2013), Accounting Information Systems: Tradition and Future Directions, Procedia Technology, 9, pp. 536-546,

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