Corporate Governance and Financial Statement Fraud during the COVID-19: Study of Companies under Special Monitoring in Indonesia

Author:

Arum Enggar Diah Puspa1ORCID,Wijaya Rico1,Wahyudi Ilham1,Brilliant Aulia Beatrice1

Affiliation:

1. Accounting Department, Faculty of Economics and Business, Universitas Jambi, Jambi 36361, Indonesia

Abstract

The COVID-19 pandemic had a wide-ranging impact, resulting in a global recession due to weakened purchasing power. This circumstance necessitates business organizations adapting to developments and being more conscious of the risk of financial statement fraud. The intention of this research is to investigate the way corporate governance affected financial statement fraud during the COVID-19 pandemic. To acquire empirical data for examining corporate governance variables on financial statement fraud, the research was examined using quantitative methods. The study takes advantage of secondary data acquired from annual reports of companies under special monitoring listed on the Indonesia Stock Exchange of 2020–2021. The logistic regression method was used to evaluate 134 data sets, and financial statement fraud was measured using the Z-Score and F-Score models. The results indicate that when using the Z-score, only the board size has a negative effect on financial statement fraud during the COVID-19 pandemic. Meanwhile, using the F-Score, the corporate governance variables studied are not proven to have an influence on financial statement fraud during the COVID-19 pandemic.

Funder

Universitas Jambi

Publisher

MDPI AG

Subject

Finance,Economics and Econometrics,Accounting,Business, Management and Accounting (miscellaneous)

Reference54 articles.

1. Audit committees’ involvement and the effects of quality in the internal audit function on corporate governance;Abdullah;International Journal of Auditing,2018

2. ACFE (2020). Survei Fraud Indonesia 2019, ACFE Indonesia Chapter. Available online: https://acfe-indonesia.or.id/wp-content/uploads/2021/02/SURVEI-FRAUD-INDONESIA-2019.pdf.

3. Detecting financial statement frauds in Malaysia: Comparing the abilities of Beneish and Dechow models;Aghghaleh;Asian Journal of Accounting and Governance,2016

4. Predicting financial distress of companies: Revisiting the Z-score and Zeta® Models;Altman;Journal of Banking and Finance,2000

5. The effectiveness of corporate governance mechanisms on constraining earning management: Literature review and proposed framework;Alzoubi;International Journal of Global Business,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3