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  Evolution, Institutionalisation, and Critical Review of the Canon in Investment Management Education

  This paper presents an essayistic and conceptual study of investment theory as a century-old educational canon, examined in digital transformation and the era of artificial intelligence. It traces the formation and institutionalization of this canon through key conceptual foundations and organizational actors. The article explores how this canon ... This paper presents an essayistic and conceptual study of investment theory as a century-old educational canon, examined in digital transformation and the era of artificial intelligence. It traces the formation and institutionalization of this canon through key conceptual foundations and organizational actors. The article explores how this canon is reproduced through textbooks, university curricula, and certification structures. The study highlights several structural limitations and methodological deficiencies, including the preferential treatment of fundamental analysis over technical analysis, the marginalization of alternative risk measures, and the critique of the statistical foundations of investment theory. It underscores the need to reconsider investment education's conceptual and pedagogical scope through more adaptive, interdisciplinary, and technologically aware approaches that reflect the realities of contemporary financial markets.

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  Artificial Intelligence and Gendered Labor Division: Institutional Perspectives

  The research assesses the impact of artificial intelligence (AI) on the gender structure of the labor market through a comparative political economy analysis of Bulgaria, Romania, Germany, and India. Using indices of employment vulnerability to AI-driven automation, it analyzes the extent to which women’s labor market participation is susceptible ... The research assesses the impact of artificial intelligence (AI) on the gender structure of the labor market through a comparative political economy analysis of Bulgaria, Romania, Germany, and India. Using indices of employment vulnerability to AI-driven automation, it analyzes the extent to which women’s labor market participation is susceptible to automation and structural transformations induced by AI technologies. In Bulgaria, women are predominantly concentrated in sectors with a high degree of automation susceptibility - particularly in administrative, clerical, and retail occupations - placing them at a disadvantage due to the potential substitutability of their tasks by AI-based systems. Higher-income women exhibit greater labor mobility toward occupations that demonstrate higher resilience to AI—such as education, healthcare, and public administration - where human interaction and contextual judgment remain difficult to automate. The comparative analysis reveals a structural similarity between Bulgaria and Romania, shaped by shared institutional characteristics and labor market configurations. In contrast, Germany’s well-developed vocational training system and more integrated labor market mitigate the adverse labor market effects of AI. India stands out with a distinct profile marked by technological exclusion, largely driven by the predominance of informal employment. The findings highlight the critical role of institutional frameworks and human capital in shaping gendered labor market outcomes in the context of technological transformation, and emphasize the need for targeted and inclusive labor market policies.

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  Strategic Dimensions of Health Care in Bulgaria

  This article examines the strategic dimensions of healthcare in Bulgaria by analyzing the key challenges, management approaches, and opportunities for improvement in the field. The study uses a combination of quantitative and qualitative methods to analyze primary data collected through a survey of healthcare facility managers. The results ... This article examines the strategic dimensions of healthcare in Bulgaria by analyzing the key challenges, management approaches, and opportunities for improvement in the field. The study uses a combination of quantitative and qualitative methods to analyze primary data collected through a survey of healthcare facility managers. The results underscore the necessity of more effective coordination, sustainable financing, a modernized regulatory framework, and enhanced support for healthcare personnel. The article proposes specific recommendations to improve strategic processes and the sustainability of the Bulgarian healthcare system.