在财务报表审计中嵌入流程挖掘

IF 4.1 3区 管理学 Q2 BUSINESS
Michael Werner , Michael Wiese , Annalouise Maas
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引用次数: 24

摘要

财务报表审计是一个复杂而高度专业化的过程。事务处理的数字化和日益自动化给执行这些审计的审计员带来了新的挑战。新的数据分析技术提供了改进财务报表审计和克服传统审计程序的局限性的机会,当面对越来越多的由计算机系统自动或半自动处理的财务相关交易时。过程挖掘作为一种新的数据分析技术,在审计实践中受到越来越多的关注。流程挖掘使得以自动化的方式分析业务流程成为可能。本研究通过审查相关审计标准和结合实地研究的结果,探讨了如何将过程采矿纳入当代审计。它论证了按照当代审计标准和普遍接受的审计实践在财务报表审计中体现过程挖掘的可行性。流程挖掘的实现提高了审计结论的可靠性,并通过取代人工审计过程提高了审计证据的健壮性。过程挖掘作为一种新颖的数据挖掘技术,为审计人员提供了跟上当前技术发展和挑战的手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embedding process mining into financial statement audits

The audit of financial statements is a complex and highly specialized process. Digitalization and the increasing automation of transaction processing create new challenges for auditors who carry out those audits. New data analysis techniques offer the opportunity to improve the auditing of financial statements and to overcome the limitations of traditional audit procedures when faced with increasingly large amounts of financially relevant transactions that are processed automatically or semi-automatically by computer systems. This study discusses process mining as a novel data analysis technique which has been receiving increased attention in the audit practice. Process mining makes it possible to analyse business processes in an automated manner. This study investigates how process mining can be integrated into contemporary audits by reviewing the relevant audit standards and incorporating the results from a field study. It demonstrates the feasibility of embodying process mining within financial statement audits in accordance with contemporary audit standards and generally accepted audit practices. Implementation of process mining increases the reliability of the audit conclusions and improves the robustness of audit evidence by replacing manual audit procedures. Process mining as novel data mining technique provides auditors the means to keep pace with current technological developments and challenges.

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来源期刊
CiteScore
9.00
自引率
6.50%
发文量
23
期刊介绍: The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.
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