طراحی و اعتبارسنجی الگویی برای افزایش مشارکت زنان در صندوق‌های اعتبارات خُرد روستایی

Today, women's participation in sustainable rural development is not an optional issue, but an inevitable necessity. One of the main drivers in this field is the level of women's participation in credit funds, and this study was conducted with the aim of designing and validating a model to increase women's participation in rural micro-credit funds with an emphasis and with two qualitative and quantitative approaches. The statistical population for the qualitative part was 20 management professors and managers of the General Department of Cooperatives, Labor and Social Welfare of Ardabil province, who were selected purposefully (theoretical sampling) and by the chain referral method (snowball method). The statistical population in the quantitative part was 1600 rural women who were members of small credit funds in Ardabil province, and based on Morgan's table, 310 people were selected as a statistical sample. The tool for data collection in the qualitative stage was an in-depth and semi-structured interview with experts, which was conducted in three rounds using the Delphi method, and in the quantitative stage, the redesigned questionnaire resulting from the first stage was used. The extracted indicators were categorized into 7 more abstract factors (economic, cultural, infrastructural, educational, systemic, human and legal) and 40 concepts (open codes). The results showed that the "cultural" component with a path coefficient of 0.881 had the greatest effect in the designed model. Finally, by using Smart PLS software, the fit of the obtained model was ensured and all significant relationships were identified.

Today, women's participation in sustainable rural development is not an optional issue, but an inevitable necessity. One of the main drivers in this field is the level of women's participation in credit funds, and this study was conducted with the aim of designing and validating a model to increase women's participation in rural micro-credit funds with an emphasis and with two qualitative and quantitative approaches. The statistical population for the qualitative part was 20 management professors and managers of the General Department of Cooperatives, Labor and Social Welfare of Ardabil province, who were selected purposefully (theoretical sampling) and by the chain referral method (snowball method). The statistical population in the quantitative part was 1600 rural women who were members of small credit funds in Ardabil province, and based on Morgan's table, 310 people were selected as a statistical sample. The tool for data collection in the qualitative stage was an in-depth and semi-structured interview with experts, which was conducted in three rounds using the Delphi method, and in the quantitative stage, the redesigned questionnaire resulting from the first stage was used. The extracted indicators were categorized into 7 more abstract factors (economic, cultural, infrastructural, educational, systemic, human and legal) and 40 concepts (open codes). The results showed that the "cultural" component with a path coefficient of 0.881 had the greatest effect in the designed model. Finally, by using Smart PLS software, the fit of the obtained model was ensured and all significant relationships were identified.

Today, women's participation in sustainable rural development is not an optional issue, but an inevitable necessity. One of the main drivers in this field is the level of women's participation in credit funds, and this study was conducted with the aim of designing and validating a model to increase women's participation in rural micro-credit funds with an emphasis and with two qualitative and quantitative approaches. The statistical population for the qualitative part was 20 management professors and managers of the General Department of Cooperatives, Labor and Social Welfare of Ardabil province, who were selected purposefully (theoretical sampling) and by the chain referral method (snowball method). The statistical population in the quantitative part was 1600 rural women who were members of small credit funds in Ardabil province, and based on Morgan's table, 310 people were selected as a statistical sample. The tool for data collection in the qualitative stage was an in-depth and semi-structured interview with experts, which was conducted in three rounds using the Delphi method, and in the quantitative stage, the redesigned questionnaire resulting from the first stage was used. The extracted indicators were categorized into 7 more abstract factors (economic, cultural, infrastructural, educational, systemic, human and legal) and 40 concepts (open codes). The results showed that the "cultural" component with a path coefficient of 0.881 had the greatest effect in the designed model. Finally, by using Smart PLS software, the fit of the obtained model was ensured and all significant relationships were identified.