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  • 标题:Improving a procedure for determining the factors that influence the need of higher education institutions for specialists of the highest qualification
  • 本地全文:下载
  • 作者:Oleksandr Maistrenko ; Vitalii Khoma ; Andrii Shcherba
  • 期刊名称:Eastern-European Journal of Enterprise Technologies
  • 印刷版ISSN:1729-3774
  • 电子版ISSN:1729-4061
  • 出版年度:2022
  • 卷号:1
  • 期号:3
  • 页码:86-96
  • DOI:10.15587/1729-4061.2022.251027
  • 语种:English
  • 出版社:PC Technology Center
  • 摘要:A method for calculation of coefficients of the impact of factors on the need for specialists of the highest qualification was proposed. The method is based on expert evaluation methods, in particular, on determining the importance, degree of realization, and tendency of factors that affect the need for highly qualified specialists. The method implements the unit of data reliability verification based on the Kendall coefficient of concordance and Pearson criterion. The method applies an original approach to determining the competence of experts, in particular, by taking into consideration self-evaluation, mutual evaluation, and objective evaluation. The proposed method makes it possible to take into account the influence of factors on the need for specialists of the highest qualification with the possibility of forecasting.The totality of factors that influence the need for specialists of the highest qualification and the magnitude of their impact was determined. They were determined by calculating the indicators of each of the criteria regarding importance, realization, and tendency. Determining was carried out using the algorithm for calculating the coefficients of influence of the factors on the need for specialists of the highest qualification.In general, the following groups of factors were determined: conditions of scientific and scientific-pedagogical activity at a certain institution of higher education, the attractiveness of scientific and scientific-pedagogical activity in a certain country (region), development of industry (speciality). A group of 30 experts was selected to determine the numerical values of the factors, which satisfies the condition for achieving a confidence probability of 0.94.The results of the evaluation of expert judgments revealed that the most influential factors are: social protection (0.87), budget for higher education (0.99), remuneration (0.9), and prestige of scientific and pedagogical activities (0.91). The least influential are: the number of primary positions in the area (0.48) and self-realization opportunities at a higher education institution (0.58).
  • 关键词:postgraduate training;staff turnover;higher education institution;specialists of the highest qualification
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