Yerkezhan Kenzheali
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Assessing gender differences in managerial roles, wages, education, and soft skills in Kazakhstan
Yerkezhan Kenzheali , Gaukhar Kenzhegulova , Anel Kireyeva , Nazym Ainakul doi: http://dx.doi.org/10.21511/ppm.22(3).2024.27Problems and Perspectives in Management Volume 22, 2024 Issue #3 pp. 341-357
Views: 163 Downloads: 32 TO CITE АНОТАЦІЯGender disparities affect employment, education, social interactions, and managerial roles. Therefore, this study aimed to conduct a complex analysis of differences based on representation in managerial positions, wage levels, educational opportunities, and soft skills. The analysis combines both qualitative and quantitative data. Quantitative data were collected from 2009 to 2022 from the Bureau of National Statistics of the Republic of Kazakhstan, the National Bank, and the World Bank. Qualitative data were obtained through surveys of 652 respondents filtered based on their correct understanding of the soft skills concept. Further, the Index for Stereotypes in Women’s Employment (ISWE) was developed by identifying key indicators and gathering relevant data, followed by assigning weight coefficients based on their significance and ultimately combining these weighted impacts to compute the total index. The most significant impact on gender disparities was shown by the assessment of soft skills, contributing 13.1115, highlighting the need for their recognition in the labor market. Educational opportunities had a significant impact, contributing 2.1945, emphasizing equal opportunities for women and men. Differences in wages contributed to 1.394, indicating the pay gap. The low representation of women in managerial positions in state financial institutions (including second-tier banks) contributed 0.685, while barriers for women in managerial positions in state holdings across various sectors contributed 1.485. The findings offer actionable insights for policymakers and stakeholders committed to promoting gender equity.
Acknowledgments
This study has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan Grant No. BR18574240.