BibTex Citation Data :
@article{DJA47968, author = {Thirza Ronaa Rachmawati and Abdul Rohman}, title = {PENGARUH KARAKTERISTIK KOMITE AUDIT TERHADAP FINANCIAL DISTRESS}, journal = {Diponegoro Journal of Accounting}, volume = {13}, number = {4}, year = {2024}, keywords = {financial distress, audit committee, springate model}, abstract = { This study examines the influence of audit committee characteristics on the likelihood of companies experiencing financial distress. Key characteristics include the size of the audit committee, the independence of its members, the frequency of meetings, the educational background, and gender diversity. Companies are categorized as either experiencing financial distress or in good financial health using the Springate Model, with company size (measured by the natural logarithm of total assets) as a control variable. The research focuses on manufacturing companies listed on the Indonesia Stock Exchange from 2018 to 2022, using a sample of 160 companies—79 facing financial distress and 81 in good condition. Logistic regression is employed for statistical analysis. Findings indicate that the size of the audit committee, member independence, meeting frequency, financial expertise, and gender diversity significantly predict financial distress in companies, while the size of the company serves as the control variable. }, issn = {2337-3806}, url = {https://ejournal3.undip.ac.id/index.php/accounting/article/view/47968} }
Refworks Citation Data :
This study examines the influence of audit committee characteristics on the likelihood of companies experiencing financial distress. Key characteristics include the size of the audit committee, the independence of its members, the frequency of meetings, the educational background, and gender diversity. Companies are categorized as either experiencing financial distress or in good financial health using the Springate Model, with company size (measured by the natural logarithm of total assets) as a control variable.
The research focuses on manufacturing companies listed on the Indonesia Stock Exchange from 2018 to 2022, using a sample of 160 companies—79 facing financial distress and 81 in good condition. Logistic regression is employed for statistical analysis.
Findings indicate that the size of the audit committee, member independence, meeting frequency, financial expertise, and gender diversity significantly predict financial distress in companies, while the size of the company serves as the control variable.
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Program Studi AkuntansiFakultas Ekonomika dan BisnisUniversitas DiponegoroJl. Prof. Sudharto, SH – Tembalang, Semarang Jawa Tengah 50275
ISSN : 2337-3806