<![CDATA[General Background The transition toward an innovative economy highlights human capital and intellectual labor as central drivers of economic development. Specific Background Women’s intellectual labor represents a significant yet underutilized resource, requiring systematic management and assessment frameworks. Knowledge Gap Existing studies primarily examine isolated indicators, lacking comprehensive integral models that combine economic, social, and innovative dimensions into a unified evaluation system. Aims This study aims to develop an integral model for assessing the management of women’s intellectual labor using a multifactor and quantitative approach. Results The research formulates an integral index (I = 0.72), indicating an above-average level of management performance, with education and digital skills identified as dominant factors through correlation-regression analysis. The model integrates normalized indicators across employment, income, education, qualifications, research participation, and digital competencies. Novelty The study introduces a structured integral assessment model based on multi-criteria decision-making and statistical methods, enabling systematic aggregation of diverse indicators into a single analytical framework. Implications The findings provide a scientific basis for improving labor market policies, strengthening gender-oriented institutional mechanisms, and supporting strategic decision-making for the development of women’s intellectual potential in an innovative economy. Highlights:• Integral index reveals above-average performance with structured multi-indicator aggregation• Education and digital competencies emerge as dominant determinants in regression results• Model supports policy formulation for labor systems and gender-oriented strategies Keywords: Innovative Economy, Women Intellectual Labor, Integral Model, Human Capital, Correlation Regression Analysis]]>
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