The Effect of Good Corporate Governance on Indications of Financial Statement Fraud in State-Owned Enterprises Listed on The Indonesian Stock Exchange for The 2020-2024 Period

Abstract : The purpose of this study was to analyze how Good Corporate Governance mechanisms, as represented by the the board of commissioners, audit committee, institutional ownership, and whistleblowing system, affect indications of financial statement fraud in state-owned enterprises listed on the Indonesia Stock Exchange during the 2020-2024 period. This research was conducted on state-owned enterprises listed on the Indonesia Stock Exchange. Data were obtained through the official website of the Indonesia Stock Exchange at www.idx.com. The sampling technique used was purposive sampling, resulting in a sample of 17 state-owned enterprises listed on the Indonesia Stock Exchange during the 2020-2024 period. The analysis was carried out using panel data multiple linear regression with the assistance of EViews statistical software. The results of this study indicate that the audit committee variable has an effect on indications of financial statement fraud. Meanwhile, the board of commissioners, institutional ownership, and whistleblowing system variables do not have a significant effect on indications of financial statement fraud.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-04
DOI
https://doi.org/10.5281/zenodo.18479923
Primary Topic
Corporate Governance and Financial Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effect of Good Corporate Governance on Indications of Financial Statement Fraud in State-Owned Enterprises Listed on The Indonesian Stock Exchange for The 2020-2024 Period

Nasution Abdillah Arif, Simbolon Adela Oktaviani, Bukit Rina Br.
Zenodo (CERN European Organization for Nuclear Research)
Corporate Governance and Financial Management
article

The Effect of Good Corporate Governance on Indications of Financial Statement Fraud in State-Owned Enterprises Listed on The Indonesian Stock Exchange for The 2020-2024 Period

Nasution Abdillah Arif, Simbolon Adela Oktaviani, Bukit Rina Br.
article en

Abstract

Abstract : The purpose of this study was to analyze how Good Corporate Governance mechanisms, as represented by the the board of commissioners, audit committee, institutional ownership, and whistleblowing system, affect indications of financial statement fraud in state-owned enterprises listed on the Indonesia Stock Exchange during the 2020-2024 period. This research was conducted on state-owned enterprises listed on the Indonesia Stock Exchange. Data were obtained through the official website of the Indonesia Stock Exchange at www.idx.com. The sampling technique used was purposive sampling, resulting in a sample of 17 state-owned enterprises listed on the Indonesia Stock Exchange during the 2020-2024 period. The analysis was carried out using panel data multiple linear regression with the assistance of EViews statistical software. The results of this study indicate that the audit committee variable has an effect on indications of financial statement fraud. Meanwhile, the board of commissioners, institutional ownership, and whistleblowing system variables do not have a significant effect on indications of financial statement fraud.

Zenodo (CERN European Organization for Nuclear Research)
Universitas Sumatera Utara (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Corporate Governance and Financial Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.