IJDAR
Bookmark and Share     Add favoritesRss FeedSubmission
Current Issue, Volume 21

Unsupervised anomaly detection for internal auditing: Literature review and research agenda
Jakob Nonnenmacher and Jorge Marx Gómez
Published January 2021
Download article
 
Auditing has to adapt to the growing amounts of data caused by digital transformation. One approach to address this and to test the full audit data population is to apply rules to the data. A disadvantage of this is that rules most likely only find errors, mistakes or deviations which were already anticipated by the auditor. Unsupervised anomaly detection can go beyond those capabilities and detect novel process deviations or new fraud attempts. We conducted a systematic review of existing studies which apply unsupervised anomaly detection in an auditing context. The results reveal that most of the studies develop an approach for only one specific dataset and do not address the integration into the audit process or how the results should be best presented to the auditor. We therefore develop a research agenda addressing both the generalizability of unsupervised anomaly detection in auditing and the preparation of results for auditors.
 

How internal audit can champion continuous monitoring in a business operation via visual reporting and overcome barriers to success
Stacie Tronto and Brenda L. Killingsworth
Published March 2021
Download article
 
Many auditing professionals would contend that continuous monitoring is a function of management and not internal audit. However, effective continuous auditing is highly dependent upon a strong continuous monitoring system. Further, by integrating technology of these two systems, continuous assurance can be achieved, and audit efficiency and effectiveness can be improved through the reduction of costs and effort. This paper discusses how internal audit can collaborate with a business operation to develop a continuous monitoring application utilizing visual reporting and overcome the potential barriers to success. The specific business operation selected for modification was the procurement card program at a large public university. Following an introduction of the scenario, an overview of the ProCard™ program is provided, highlighting the program risks and controls. Third, a four-phased approach used to develop the continuous monitoring tool is described, including specific steps taken to ensure effective use of the real-time data by auditors. Fourth, challenges the internal function encountered when implementing the system are described, including how those challenges were addressed. Fifth, the paper provides concluding comments and future initiatives planned. Finally, the paper provides additional examples for continuous auditing and monitoring and suggests future research topics in this area.
 

The effect of emergent technologies on accountant`s ethical blindness
Karma Sherif and Hania Mohsin
Published April 2021
Download article
 
The accounting field has come under scrutiny after a number of high-profile ethical scandals dealing with organizational fraud has been tied to the profession. While several accounting standards have been established to ensure the integrity, objectivity, and professional competency of accountants; the power of the situation and individual motivations are challenges that may ethically blind accountants and result in fraud. In this paper, we explore the combinative effect of three emergent technologies: Blockchain-based, IoT-enabled and AI-empowered distributed ledger on reducing the risk of accounting ethical blindness. We examine how technical features of emergent technologies present both gains and challenges to ethical decision-making for the accounting profession. While some of these challenges can be overcome by adopting all three emerging technologies, others require social and legal interference to avoid the challenges of these technologies.
 

Audit and tax in the context of emerging technologies: A retrospective analysis, current trends, and future opportunities
Osama F. Atayah and Muneer M. Alshater
Published May 2021
Download article
 
This study aims to review the existing literature on audit and tax in the context of emerging technologies, besides providing future research agenda. A meta literature approach by combining bibliometrics and content analysis was adopted to analyse 154 relevant English articles published in Scopus indexed journals, published over the last 35 years. Using RStudio, VOSviewer, and Microsoft Excel. Quantitative findings reveal that the USA is the top contributor and the most cited in the world. Brigham Young University, on the institutional level, is the most relevant affiliation. Concerning publication number, the Journal of Emerging Technologies in Accounting is the most relevant source. At the same time, the most cited source is the Decision Sciences journal. While the most prolific author is Miklos Vasarhelyi. Moreover, the emerging technologies, including big data, blockchain and artificial intelligence, have significantly drawn accounting scholars interest from 2015 and thereafter. From the perspective of qualitative findings, the main focus shows that employing advanced technologies offers promising opportunities to mitigate the risk of tax evasion and enhance the auditors` efficiency. The content analysis reports two mainstreams tax and audit; each one is classified into three sub-streams, big data, artificial intelligence, and blockchain. This study contributes to present a clear and coherent understanding of the relevant exact literature and propose future research. However, the study reviewers confines only on audit and tax fields, relying on the Scopus database.
 

Bookmark and Share