Journal Article10.2308/AJPT-51684
Big Data and Analytics in the Modern Audit Engagement: Research Needs
325
TL;DR: In this paper, the need for the external audit profession to move toward Big Data and audit analytics is discussed, and the regulations regarding audit evidence and analytical procedures, in contrast to the emerging environment of big data and advanced analytics.
read more
Abstract: SUMMARY: Modern audit engagements often involve examination of clients that are using Big Data and analytics to remain competitive and relevant in today's business environment. Client systems now are integrated with the cloud, the Internet of Things, and external data sources such as social media. Furthermore, many engagement clients are now integrating this Big Data with new and complex business analytical approaches to generate intelligence for decision making. This scenario provides almost limitless opportunities and the urgency for the external auditor to utilize advanced analytics. This paper first positions the need for the external audit profession to move toward Big Data and audit analytics. It then reviews the regulations regarding audit evidence and analytical procedures, in contrast to the emerging environment of Big Data and advanced analytics. In a Big Data environment, the audit profession has the potential to undertake more advanced predictive and prescriptive-oriented analytics. The next s...
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Digital Transformation and Corporate Audit Risk: Mediating Effects of Auditor Behavior
Lu Zhang,Sophee Sulong bin Balia +1 more
TL;DR: Digital transformation significantly reduces corporate audit risk in Chinese A-share listed companies, partially mediated by changes in audit fees, audit input, and audit opinions.
Management accounting and data analytics: technology acceptance from the educational perspective
Anna Vysotskaya,Maria Prokofieva +1 more
TL;DR: This study integrates data analytics into management accounting education, applying the Extended Technology Acceptance Model (ETAM), and finds students perceive data analytics as useful and easy to use, leading to a positive attitude towards its adoption.
Big Data Analytics and Audit Quality: Evidence from Canada
01 Jan 2022
TL;DR: In this article , the authors investigate how Big Data and Big Data Analytics (BDA) affect professional judgement, audit performance and perceived audit quality in Canadian audit firms and find evidence that auditing professionals can use analytics to gain more insight into clients' business and offer them insights.
Accounting in emerging technologies era: where do we stand and which roadmap for future research?
Muneer M. Alshater,Osama F. Atayah,Ikhlaas Gurrib +2 more
Abstract: Purpose This paper aims to review the emerging technologies literature within the accounting field, highlighting their role in supporting the advent of the fourth industrial revolution, which is reshaping the accounting profession. Design/methodology/approach Using a bibliometric approach, 264 English articles and reviews published in journals indexed in the Scopus database over 41 years (1980–2020) were collected and analyzed. Findings The study shows that 80% of the literature was published after 2015, indicating rapid growth in the field. The results reveal high dispersion in academic contributions and published topics. In terms of countries and institutions, the USA and China are the top contributors. A content analysis exploring the intellectual structure of the field categorized the sample into six accounting clusters: auditing and assurance, financial accounting and reporting, profession and education, Taxation, managerial and cost accounting and accounting information systems. Originality/value This study not only reviews the literature but also proposes a future research agenda, providing a comprehensive understanding of how big data, blockchain, artificial intelligence and machine learning are influencing various accounting domains.
References
The Internet of Things: A survey
TL;DR: This survey is directed to those who want to approach this complex discipline and contribute to its development, and finds that still major issues shall be faced by the research community.
15.3K
A model for types and levels of human interaction with automation
Raja Parasuraman,Thomas B. Sheridan,Christopher D. Wickens +2 more
- 01 May 2000
TL;DR: A model for types and levels of automation is outlined that can be applied to four broad classes of functions: 1) information acquisition; 2) information analysis; 3) decision and action selection; and 4) action implementation.
A few useful things to know about machine learning
TL;DR: Tapping into the "folk knowledge" needed to advance machine learning applications is a natural next step in the development of artificial intelligence systems.