Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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This study has focused particularly on assessing the loan repayment performance of female headed households on Oromiya Credit and Saving Share Company (OCSSCO) of Jimma Zone Ethiopia. Primary data were collected from 205 female headed households in the study area. With the help of Logit model the study found that family size of the household, health status of the respondent, loan diversion, time of loan application and distance from credit source variables are statistically significant and negatively affect the loan repayment performance of borrowers. While, the age of the borrower, education level of the respondent, experience of the borrower, celebrating of social ceremony, monthly expenditure, application of machinery, installment period and loan seize variables are statistically insignificant in affecting the loan repayment performance of borrowers however their sign was positive.
Yilkal Wassie Ayen. 2015. \u201cFactors Affecting Womenas Effectiveness in USE of Microfinance and Microcredit Services; Jimma Zone, Southwest Ethiopia\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 15 (GJMBR Volume 15 Issue B10): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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This study has focused particularly on assessing the loan repayment performance of female headed households on Oromiya Credit and Saving Share Company (OCSSCO) of Jimma Zone Ethiopia. Primary data were collected from 205 female headed households in the study area. With the help of Logit model the study found that family size of the household, health status of the respondent, loan diversion, time of loan application and distance from credit source variables are statistically significant and negatively affect the loan repayment performance of borrowers. While, the age of the borrower, education level of the respondent, experience of the borrower, celebrating of social ceremony, monthly expenditure, application of machinery, installment period and loan seize variables are statistically insignificant in affecting the loan repayment performance of borrowers however their sign was positive.
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