Challenges of using RPA in auditing: A socio-technical systems approach

Q1 Economics, Econometrics and Finance
Laila Dahabiyeh, Omar Mowafi
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引用次数: 0

Abstract

The use of Robotic Process Automation (RPA) is rapidly growing in the professional services sector such as auditing. Despite the great benefits RPA can offer, RPA failure rates are still high. In this research, we draw on socio-technical systems theory to examine the challenges of using RPA in the various phases of auditing and how auditors address these challenges. By interviewing experienced partners and auditors in auditing firms and technology companies, we show that challenges arise when there is a lack of fit between the technical requirements of the RPA tool (technical subsystem) and the skills and knowledge of the auditors and clients (social subsystem). We discuss our findings and provide valuable practical implications and opportunities for future research.

在审计中使用RPA的挑战:一种社会技术系统方法
机器人过程自动化(RPA)在审计等专业服务领域的使用正在迅速增长。尽管RPA可以提供巨大的好处,但RPA的失败率仍然很高。在这项研究中,我们利用社会技术系统理论来研究在审计的各个阶段使用RPA的挑战,以及审计师如何应对这些挑战。通过采访审计公司和科技公司中经验丰富的合作伙伴和审计师,我们发现,当RPA工具的技术要求(技术子系统)与审计师和客户的技能和知识(社会子系统)不匹配时,就会出现挑战。我们讨论了我们的发现,并为未来的研究提供了宝贵的实际意义和机会。
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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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