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  MEASURES TO BALANCE THE LABOUR MARKET: AN INSTITUTIONAL PARTNERSHIP BETWEEN BUSINESS AND THE VOCATIONAL TRAINING SYSTEM

  The study aims to identify imbalances, obstacles and opportunities for realizing the capacity of institutional partnership between employers and vocational education institutions (the case of Lviv region in Ukraine) to balance the labour market. The study is based on the general scientific methods of research – analysis, synthesis, logical ... The study aims to identify imbalances, obstacles and opportunities for realizing the capacity of institutional partnership between employers and vocational education institutions (the case of Lviv region in Ukraine) to balance the labour market. The study is based on the general scientific methods of research – analysis, synthesis, logical generalization and decomposition, as well as special methods – sociological survey and the method of weighted harmonic mean. The methodological tools of the sociological survey include a three-part questionnaire aimed at identifying business needs for workers and business willingness to employ graduates of vocational education institutions (VEIs), as well as substantiating the opportunities for cooperation between VEIs. The study shows that there is a significant shortage of workers in the region (especially locksmiths, construction workers, turners, electricians, etc.) in such economic sectors as water supply, sewerage and waste management, agriculture, forestry and fishing, mining and processing industry, service sector, etc. The authors reveal a low level of cooperation between VEIs and businesses or that of a purely formal nature, which affects the extent to which enterprises are staffed by workers. They also identify a significant need for coordination between businesses and VEIs to meet the demand for workers and the specific occupational and qualification characteristics of graduates. The study reveals the main obstacles to the spread of dual education and substantiates promising areas for its modernization.

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  DRIVING PROFITABILITY THROUGH SOCIAL RESPONSIBILITY: UNVEILING THE SUCCESS STORY OF AUTOMOTIVE PLANT STELLANTIS SLOVAKIA

  This study examines the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) in Slovakia's unique context of the Stellantis automobile plant. Driven by the growing focus on mitigating business impacts and delivering value to stakeholders, the research explores CSR as a strategic tool to enhance ... This study examines the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) in Slovakia's unique context of the Stellantis automobile plant. Driven by the growing focus on mitigating business impacts and delivering value to stakeholders, the research explores CSR as a strategic tool to enhance competitiveness. The analysis utilises Stellantis Slovakia's financial reports from 2017 to 2021, incorporating horizontal and vertical analysis of assets. A questionnaire has also been administered to gauge employee perception of the company's CSR initiatives. The survey findings reveal a positive correlation between stakeholder engagement and CSR. Stellantis Slovakia's car plant showcases a commendable CSR commitment, with the potential to set more precise, measurable objectives to drive sustainability efforts. The company's robust financial performance, characterised by significant net profit growth, is in line with industry trends, suggesting that CSR-oriented firms enjoy enhanced CFP. The survey underscores the highly positive employee perception of CSR, related to moral commitment, thereby supporting previous research on CSR-driven employee engagement and productivity. This study deepens our understanding of CSR's impact on financial performance, offering practical recommendations for Stellantis Slovakia. Integrating CSR can improve the company's image, enhance employee motivation, reduce costs and drive revenue growth, thereby highlighting the strategic value of socially responsible practices and encouraging optimism about the potential benefits of these practices.

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  METADATA MANAGEMENT FRAMEWORK FOR BUSINESS INTELLIGENCE DRIVEN DATA LAKES

  Data lakes (DL) provide powerful capabilities for processing and utilizing large and diverse data, helping organizations adapt to the modern environment and extract maximum value from the information at their disposal. Effective data analysis provides actionable knowledge which is a competitive advantage for organizations. Metadata management in ... Data lakes (DL) provide powerful capabilities for processing and utilizing large and diverse data, helping organizations adapt to the modern environment and extract maximum value from the information at their disposal. Effective data analysis provides actionable knowledge which is a competitive advantage for organizations. Metadata management in data lakes is a key element in ensuring their full functionality. At the same time, this is a dynamic and under-researched area that reflects the rapid development of information technology and the business needs for effective data management. The research is based on a thorough scientific analysis of existing publications on the chosen topic. For this purpose, up-to-date and relevant open access publications from Scopus and Web of Science that correspond to the keywords "data lake" and "metadata" are identified and are from the last 15 years. Based on a review of the existing literature, the main challenges in data lake metadata management are highlighted. The goal of the research is to summarize the existing models in the field of metadata management in data lakes and to propose a new conceptual framework that can serve as a useful guide for designing and implementing metadata management models in heterogeneous data warehouses, as well as implementation steps. The concept's adoption involves a detailed study of the data management model in a specific organization, a measurement of the level of effectiveness after the model’s implementation, and the use of additional metrics to confirm its feasibility. These tasks are therefore the subject of future research. Another limitation of the proposed framework is that it does not address in depth the rules and standards related to ensuring data security, which would be of the highest priority especially in sectors such as finance, defence and healthcare. In addition, further research could also focus on future analysis of the level of satisfaction with the transformation of metadata management processes.