AUDIT COMMITTEE EFFECTIVENESS AS FRAUD PREVENTION MECHANISMS

Larassanti Kusumosari, Shiddiq Nur Rahardjo
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Abstract

This study aims to examine the effect of audit committee effectiveness on financial statement fraud. This research type is explanatory research. The research population is property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) during 2020–2022. The sampling method used is a purposive sampling with a total sample of 141 annual reports. The data collection method used content analysis on annual report. This study used logistic regression analysis assisted by EViews13 software. The results showed that the effectiveness of the audit committee, proxied by financial expertise, accounting expertise, and the number of audit committee meetings had negative and significant effect on financial statement fraud. This study contributes by strengthening agency theory, where the findings prove that the effectiveness of the audit committee can overcome agency conflicts and minimize financial statement fraud. Practically, this research contributes to regulators to develop policies regarding the work guidelines of the audit committee as a supervisory body for the financial reporting process and to investors to be able to improve investment decision strategies by analyzing the audit committee structure as a party that ensures the reliability of financial statements which are the basis for corporate decision making.
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审计委员会作为预防舞弊机制的有效性
本研究旨在探讨审计委员会的有效性对财务报表舞弊的影响。本研究属于解释性研究。研究对象为 2020-2022 年期间在印尼证券交易所(IDX)上市的物业和房地产行业公司。采用的抽样方法是目的性抽样,样本总数为 141 份年度报告。数据收集方法采用年报内容分析。本研究使用 EViews13 软件辅助进行逻辑回归分析。结果表明,以财务专业知识、会计专业知识和审计委员会会议次数为代表的审计委员会的有效性对财务报表舞弊具有负向显著影响。研究结果证明,审计委员会的有效性可以克服代理冲突,最大限度地减少财务报表舞弊。在实践中,本研究有助于监管机构制定有关审计委员会工作准则的政策,使其成为财务报告过程的监督机构;也有助于投资者通过分析审计委员会结构,改进投资决策策略,因为审计委员会是确保财务报表可靠性的一方,而财务报表是企业决策的基础。
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来源期刊
自引率
0.00%
发文量
6
审稿时长
48 weeks
期刊最新文献
FINANCIAL FRAUD DETECTION AND MACHINE LEARNING ALGORITHM (UNSUPERVISED LEARNING): SYSTEMATIC LITERATURE REVIEW AUDIT COMMITTEE EFFECTIVENESS AS FRAUD PREVENTION MECHANISMS KETIDAKPASTIAN LINGKUNGAN DAN MANAJEMEN LABA DENGAN KEMAMPUAN MANAJERIAL SEBAGAI VARIABEL MODERASI MACHINE LEARNING FOR E-COMMERCE FRAUD DETECTION THE MODERATING ROLE OF ESG DISCLOSURE ON FIRM STRATEGY AND STOCK PRICE CRASH RISK
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