Sergii Melnyk
https://orcid.org/0000-0002-5724-2428
FOREIGN AND DOMESTIC EXPERIENCE IN THE FORMATION OF METHODOLOGICAL APPROACHES TO FORECAST PERSONNEL NEEDS IN SPECIALISTS
Full text (pdf)
Language: Ukrainian
Abstract. The article provides an analytical study of the main methodological foundations of forecasting personnel needs in general, and in specialists in particular, used by international analysts and experts. The weaknesses and strengths of ten methodological approaches are shown. An analytical review of the most significant domestic studies of the corresponding aria is carried out. The author analyzed the advantages and risks of using their tools in further researches. Emphasis is placed on the innovative nature of the “Qualification Map of Ukraine” Project, which for the first time in Ukraine verified ambitious plans to launch an electronic resource for analysis and forecasting of personnel needs. Recommendations on the use of foreign and Ukrainian developments in the formation of a system for forecasting personnel needs are proposed. It is concluded that the combination of various methods will highlight as many relevant aspects of the problem as possible. The most promising approach in determining the personnel needs for specialists, given the level of data availability in Ukraine, is a combination of the method for determining the ratio of unemployed and employed and the Beveridge curve method. Summarizing the national experience of forecasting personnel needs in the current conditions (lack of funding, lack of many necessary official data, etc.) the author states that the most optimal are methodological approaches to determine the adequacy of the scope and professional qualification structure of training in educational institutions according to the needs of the regional labour market.
Keywords: balance, methodological approaches, demand and supply of labor in the professional context, forecasting of personnel needs, specialty.
https://doi.org/10.32987/2617-8532-2020-2-5-28
Keywords: balance, methodological approaches, demand and supply of labor in the professional context, forecasting of personnel needs, specialty.
https://doi.org/10.32987/2617-8532-2020-2-5-28
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