Presenting an Advanced Model of Women's Entrepreneurship Using Fuzzy Analytic Hierarchy Process

Objective: The purpose of this research is to identify and prioritize the factors affecting women's entrepreneurship.Methodology: This study is applied in aim and descriptive in method. To determine the weight of criteria and sub-criteria for this issue, the Fuzzy Analytic Hierarchy Process (FAHP) was utilized. Accordingly, after identifying the criteria and sub-criteria for each, a questionnaire was designed to match them and distributed to experts. In the current issue, the effects of criteria affecting women's entrepreneurship were examined with ۲۰ decision-makers. In the next step, the questionnaires filled out by experts were transferred to Excel software.Findings: The factors affecting women's entrepreneurship include five criteria consisting of family, personality, economic, social, and cultural criteria. The family criterion has eight sub-criteria, the personality criterion has ten sub-criteria, the economic criterion has seven sub-criteria, and the social and cultural criteria each have five sub-criteria. The results show that among the criteria, the "personality" criterion, with a weight of ۰.۳۰۷۱, and the "cultural" criterion, with a weight of ۰.۱۱۰۳, ranked first and last, respectively. In addition, the "economic" criteria with a weight of ۰.۲۰۱۱, "family" with a weight of ۰.۱۹۳۱, and "social" with a weight of ۰.۱۸۸۴, are ranked second to fourth, respectively. Moreover, among the thirty-five sub-criteria, the sub-criteria of "extensive social relationships" with a weight of ۰.۰۵۳۰, "job satisfaction" with a weight of ۰.۰۴۶۲, "institutions and resources" with a weight of ۰.۰۴۴۸, "determination and will" with a weight of ۰.۰۴۴۴, and "guidance and leadership" with a weight of ۰.۰۴۲۸, are ranked first to fifth, respectively. Also, the sub-criteria of "market access" with a weight of ۰.۰۲۷۰, "role models" with a weight of ۰.۰۱۶۵, "transportation system" with a weight of ۰.۰۱۶۵, "role conflict" with a weight of ۰.۰۱۳۵, and "marital status" with a weight of ۰.۰۰۸۸, respectively rank thirty-first to last.Conclusion: The research underscores a strong correlation between personality traits and women's entrepreneurship, pointing to the necessity of tailored programs in higher education to foster entrepreneurial inclinations. Economic factors play a crucial role in job satisfaction and entrepreneurial success among women, suggesting that strengthening economic support can significantly impact women's entrepreneurship. Additionally, family and social support are critical in enabling women's entrepreneurial activities, indicating that fostering a conducive social and cultural environment is essential for promoting women's entrepreneurship. This study contributes to the existing literature by offering a comprehensive model that incorporates various factors affecting women's entrepreneurship, thereby facilitating targeted support and policy formulation to empower women entrepreneurs.Objective: The purpose of this research is to identify and prioritize the factors affecting women's entrepreneurship. Methodology: This study is applied in aim and descriptive in method. To determine the weight of criteria and sub-criteria for this issue, the Fuzzy Analytic Hierarchy Process (FAHP) was utilized. Accordingly, after identifying the criteria and sub-criteria for each, a questionnaire was designed to match them and distributed to experts. In the current issue, the effects of criteria affecting women's entrepreneurship were examined with ۲۰ decision-makers. In the next step, the questionnaires filled out by experts were transferred to Excel software. Findings: The factors affecting women's entrepreneurship include five criteria consisting of family, personality, economic, social, and cultural criteria. The family criterion has eight sub-criteria, the personality criterion has ten sub-criteria, the economic criterion has seven sub-criteria, and the social and cultural criteria each have five sub-criteria. The results show that among the criteria, the "personality" criterion, with a weight of ۰.۳۰۷۱, and the "cultural" criterion, with a weight of ۰.۱۱۰۳, ranked first and last, respectively. In addition, the "economic" criteria with a weight of ۰.۲۰۱۱, "family" with a weight of ۰.۱۹۳۱, and "social" with a weight of ۰.۱۸۸۴, are ranked second to fourth, respectively. Moreover, among the thirty-five sub-criteria, the sub-criteria of "extensive social relationships" with a weight of ۰.۰۵۳۰, "job satisfaction" with a weight of ۰.۰۴۶۲, "institutions and resources" with a weight of ۰.۰۴۴۸, "determination and will" with a weight of ۰.۰۴۴۴, and "guidance and leadership" with a weight of ۰.۰۴۲۸, are ranked first to fifth, respectively. Also, the sub-criteria of "market access" with a weight of ۰.۰۲۷۰, "role models" with a weight of ۰.۰۱۶۵, "transportation system" with a weight of ۰.۰۱۶۵, "role conflict" with a weight of ۰.۰۱۳۵, and "marital status" with a weight of ۰.۰۰۸۸, respectively rank thirty-first to last. Conclusion: The research underscores a strong correlation between personality traits and women's entrepreneurship, pointing to the necessity of tailored programs in higher education to foster entrepreneurial inclinations. Economic factors play a crucial role in job satisfaction and entrepreneurial success among women, suggesting that strengthening economic support can significantly impact women's entrepreneurship. Additionally, family and social support are critical in enabling women's entrepreneurial activities, indicating that fostering a conducive social and cultural environment is essential for promoting women's entrepreneurship. This study contributes to the existing literature by offering a comprehensive model that incorporates various factors affecting women's entrepreneurship, thereby facilitating targeted support and policy formulation to empower women entrepreneurs.