تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي

Other Title(s)

Determine the factors that influence the company's failure by using logistic regression

Joint Authors

الزوبعي، عبيد محمود
سليمان، محمود أحمد عبيد

Issue

Vol. 32, Issue 2 (30 Jun. 2021), pp.371-382, 12 p.

Publisher

كلية المعارف الجامعة

Publication Date

2021-06-30

Country of Publication

Iraq

No. of Pages

12

Main Subjects

Financial and Accounting Sciences

Abstract EN

Predicting the failure of companies is one of the important and influencing matters, whether for the companies themselves, competing companies or investors.

In addition, to the effect of this on the country's economies.

In our research, the logistic regression technique was applied to know the most important variables that have a significant effect on the failure or success of companies.

The research also includes the arrangement of these variables according to their importance in influencing the dependent variable that represents the failure or success of companies.

The application was applied to a sample with size of (33) companies that included (16) successful companies and (17) failed companies.

However, four quantitative variables were specified as well as the dependent variable (Y), which is a qualitative variable.

And that the model which was built proved the tests significantly and its ability to classify correctly by 84.8% .

American Psychological Association (APA)

سليمان، محمود أحمد عبيد والزوبعي، عبيد محمود. 2021. تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي. مج. 32، ع. 2، ص ص. 371-382.
https://search.emarefa.net/detail/BIM-1359020

Modern Language Association (MLA)

سليمان، محمود أحمد عبيد والزوبعي، عبيد محمود. تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي. مج. 32، ع. 2 (2021)، ص ص. 371-382.
https://search.emarefa.net/detail/BIM-1359020

American Medical Association (AMA)

سليمان، محمود أحمد عبيد والزوبعي، عبيد محمود. تحديد العوامل المؤثرة على فشل الشركات باستخدام الإنحدار اللوجستي. . 2021. مج. 32، ع. 2، ص ص. 371-382.
https://search.emarefa.net/detail/BIM-1359020

Data Type

Journal Articles

Language

Arabic

Notes

-

Record ID

BIM-1359020