The convergence of big data and accounting: innovative research opportunities

Awad Elsayed Awad Ibrahim, Ahmed A. Elamer, Amr Nazieh Ezat

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to develop accounting standards, curriculums, and research to cope with the rapid development of big data. The study presents several potential convergence points between big data and different accounting techniques and theories. The study discusses how big data can overcome the data limitations of six accounting issues: financial reporting, performance measurement, audit evidence, risk management, corporate budgeting and activity-based techniques. It presents six exciting research questions for future research. Then, the study explains the potential convergence between big data and agency theory, stakeholders theory, and legitimacy theory. This theoretical study develops new convergence points between big data and accounting by reviewing the literature and proposing new ideas and research questions. The conclusion indicates a significant convergence between big data and accounting on the premise that data is the heart of accounting. Big data and advanced analytics have the potential to overcome the data limitations of accounting techniques that require estimations and predictions. A remarkable convergence is argued between big data and three accounting theories. Overall, the study presents helpful insights to members of the accounting and auditing community on the potential of big data.
Original languageEnglish
Article number121171
Number of pages13
JournalTechnological Forecasting and Social Change
Volume173
Early online date13 Sep 2021
DOIs
Publication statusEarly online - 13 Sep 2021

Keywords

  • Big data
  • Analytics
  • Accounting
  • Data Science
  • Business Intelligence

Fingerprint

Dive into the research topics of 'The convergence of big data and accounting: innovative research opportunities'. Together they form a unique fingerprint.

Cite this