Improving a procedure for determining the factors that influence the need of higher education institutions for specialists of the highest qualification

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.251027

Keywords:

postgraduate training, staff turnover, higher education institution, specialists of the highest qualification

Abstract

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).

Author Biographies

Oleksandr Maistrenko, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Doctor of Military Sciences, Senior Researcher, Leading Researcher

The Scientific and Methodological Center of Scientific, Scientific and Technical Activities Organization

Vitalii Khoma, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Associate Professor, Head of Scientific and Methodological Center

The Scientific and Methodological Center of Scientific, Scientific and Technical Activities Organization

Andrii Shcherba, Hetman Petro Sahaidachnyi National Army Academy

PhD, Associate Professor

Department of Complexes and Devices of Artillery Recconaissance

Yurii Olshevskyi, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Senior Researcher, Head of Scientific Department

The Scientific and Methodological Center of Scientific, Scientific and Technical Activities Organization

Yurii Pereverzin, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Associate Professor, Leading Researcher

The Scientific and Methodological Center of Scientific, Scientific and Technical Activities Organization

Oleh Popkov, Central Scientific Research Institute of Armament and Military Equipment of the Armed forces of Ukraine

PhD, Senior Researcher

Department of Arms and Military Equipment Development of the Ground Forces

Alexander Kornienko, Hetman Petro Sahaidachnyi National Army Academy

Head of Laboratory

Research Laboratory Software and Mathematics Support of Automation of Control of Armaments Complexes Missile Forces and Artillery

Oleksandr Shatilo, Hetman Petro Sahaidachnyi National Army Academy

Associate Professor

Department of Missile Forces

Andriy Maneliyk, Hetman Petro Sahaidachnyi National Army Academy

Lecturer

Department of Ground Artillery

References

  1. Dicker, R., Garcia, M., Kelly, A., Mulrooney, H. (2019). What does “quality” in higher education mean? Perceptions of staff, students and employers. Studies in Higher Education, 44 (8), 1425–1441. doi: https://doi.org/10.1080/03075079.2018.1445987
  2. Shareef, R. A., Atan, T. (2019). The influence of ethical leadership on academic employees’ organizational citizenship behavior and turnover intention. Management Decision, 57 (3), 583–605. doi: https://doi.org/10.1108/md-08-2017-0721
  3. Wolszczak-Derlacz, J. (2017). An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the U.S. with the application of two-stage semi-parametric DEA. Research Policy, 46 (9), 1595–1605. doi: https://doi.org/10.1016/j.respol.2017.07.010
  4. Eaton, C., Howell, S. T., Yannelis, C. (2019). When Investor Incentives and Consumer Interests Diverge: Private Equity in Higher Education. The Review of Financial Studies, 33 (9), 4024–4060. doi: https://doi.org/10.1093/rfs/hhz129
  5. Doronina, O., Riazanov, M. (2019). Personnel policy as a tool for strategic development of a higher education institution. Economiсs and organization of management, 1 (33), 15–20. doi: https://doi.org/10.31558/2307-2318.2019.1.2
  6. Podenko, А. (2019). Socio-psychological factors of staff turnover in the organization. Kharkivskyi osinniy marafon psykhotekhnolohiy: materialy III mizhrehion. nauk.-prakt. konf. Kharkiv, 185–189. Available at: http://dspace.hnpu.edu.ua/handle/123456789/5517
  7. King, V., Roed, J., Wilson, L. (2018). It’s very different here: practice-based academic staff induction and retention. Journal of Higher Education Policy and Management, 40 (5), 470–484. doi: https://doi.org/10.1080/1360080x.2018.1496516
  8. Gandy, R., Harrison, P., Gold, J. (2018). Talent management in higher education: is turnover relevant? European Journal of Training and Development, 42 (9), 597–610. doi: https://doi.org/10.1108/ejtd-11-2017-0099
  9. Gandy, R., Harrison, P., Gold, J. (2018). Criticality of detailed staff turnover measurement. Benchmarking: An International Journal, 25 (8), 2950–2967. doi: https://doi.org/10.1108/bij-11-2017-0302
  10. Chong, C. Y., Lee, S. T. (2017). Employee Retention and Job Performance Attributes in Private Institutions of Higher Education. International Journal of Business and Administrative Studies, 3 (5), 158–165. doi: https://doi.org/10.20469/ijbas.3.10001-5
  11. Tepayakul, R., Rinthaisong, I. (2018). Job Satisfaction and Employee Engagement among Human Resources Staff of Thai Private Higher Education Institutions. The Journal of Behavioral Science, 13 (2), 68–81. Available at: https://so06.tci-thaijo.org/index.php/IJBS/article/view/109260
  12. Grobler, A., van Rensburg, M. J. (2019). Organisational climate, person–organisation fit and turn over intention: a generational perspective within a South African Higher Education Institution. Studies in Higher Education, 44 (11), 2053–2065. doi: https://doi.org/10.1080/03075079.2018.1492533
  13. Busari, A. H., Mughal, Y. H., Khan, S. N., Rasool, S., Kiyani, A. A. (2017). Analytical cognitive style moderation on promotion and turnover intention. Journal of Management Development, 36 (3), 438–464. doi: https://doi.org/10.1108/jmd-12-2015-0184
  14. Turnbull, A. E., Dinglas, V. D., Friedman, L. A., Chessare, C. M., Sepúlveda, K. A., Bingham, C. O., Needham, D. M. (2018). A survey of Delphi panelists after core outcome set development revealed positive feedback and methods to facilitate panel member participation. Journal of Clinical Epidemiology, 102, 99–106. doi: https://doi.org/10.1016/j.jclinepi.2018.06.007
  15. Belton, I., MacDonald, A., Wright, G., Hamlin, I. (2019). Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process. Technological Forecasting and Social Change, 147, 72–82. doi: https://doi.org/10.1016/j.techfore.2019.07.002
  16. Shariff, N. M., Abd Razak, R. (2021). Exploring hospitality graduates’ competencies in Malaysia for future employability using Delphi method: a study of Competency-Based Education. Journal of Teaching in Travel & Tourism, 1–19. doi: https://doi.org/10.1080/15313220.2021.1950103
  17. Maistrenko, O., Ryzhov, Y., Khaustov, D., Tsbulia, S., Nastishin, Y. (2021). Decision-Making Model for Task Execution by a Military Unit in Terms of Queuing Theory. Military Operations Research, 26 (1), 59–69. doi: https://doi.org/10.5711/1082598326159
  18. Maistrenko, O., Karavanov, O., Riman, O., Kurban, V., Shcherba, A., Volkov, I. et. al. (2021). Devising a procedure for substantiating the type and volume of redundant structural-functional elements of reconnaissance-firing systems. Eastern-European Journal of Enterprise Technologies, 2 (3 (110)), 31–42. doi: https://doi.org/10.15587/1729-4061.2021.229031
  19. Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications, 472.
  20. Manizade, A. G., Mason, M. M. (2011). Using Delphi methodology to design assessments of teachers’ pedagogical content knowledge. Educational Studies in Mathematics, 76 (2), 183–207. doi: https://doi.org/10.1007/s10649-010-9276-z
  21. Hrabovetskyi, B. (2010). Metody ekspertnykh otsinok: teoriya, metodolohiya, napriamky vykorystannia. Vinnytsia, 171. Available at: http://hrabovecky.vk.vntu.edu.ua/file/a0a40b7bd74c5d39fe693b7b2c99f38f.pdf
  22. Tarsitano, A., Lombardo, R. (2013). A Coefficient of Correlation Based on Ratios of Ranks and Anti-ranks. Jahrbücher Für Nationalökonomie Und Statistik, 233 (2), 206–224. doi: https://doi.org/10.1515/jbnst-2013-0205
  23. Romdhani, H., Lakhal-Chaieb, L., Rivest, L.-P. (2014). An exchangeable Kendall’s tau for clustered data. Canadian Journal of Statistics, 42 (3), 384–403. doi: https://doi.org/10.1002/cjs.11223
  24. Openko, P. V., Hohoniants, S. Y., Starkova, O. V., Herasymenko, K. V., Yastrebov, M. I., Prudchenko, A. O. (2019). Problem of Choosing a DBMS in Modern Information System. 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT). doi: https://doi.org/10.1109/atit49449.2019.9030517
  25. Gawande, K., Reinhardt, G. Y., Silva, C. L., Bearfield, D. (2013). Comparing Discrete Distributions: Survey Validation and Survey Experiments. Political Analysis, 21 (1), 70–85. doi: https://doi.org/10.1093/pan/mps036
  26. Moore, D. S. (2017). Tests of Chi-Squared Type. Goodness-of-Fit Techniques, 63–96. doi: https://doi.org/10.1201/9780203753064-3
  27. Maistrenko, O., Khoma, V., Karavanov, O., Stetsiv, S., Shcherba, A. (2021). Devising a procedure for justifying the choice of reconnaissance-firing systems. Eastern-European Journal of Enterprise Technologies, 1 (3 (109)), 60–71. doi: https://doi.org/10.15587/1729-4061.2021.224324
  28. Susko, E. (2013). Likelihood ratio tests with boundary constraints using data-dependent degrees of freedom. Biometrika, 100 (4), 1019–1023. doi: https://doi.org/10.1093/biomet/ast032
  29. Saris, W. E., Gallhofer, I. N. (Eds.) (2014). Design, evaluation, and analysis of questionnaires for survey research. John Wiley & Sons. doi: https://doi.org/10.1002/9781118634646
  30. SSC of Ukraine. Statistical Information. Available at: http://ukrstat.gov.ua/
  31. Cherednichenko, O., Fursova, A. (2020). To the convergence of education and business. Osvita i suspilstvo V, 241–245.
  32. Leeb, H., Pötscher, B. M., Ewald, K. (2015). On Various Confidence Intervals Post-Model-Selection. Statistical Science, 30 (2). doi: https://doi.org/10.1214/14-sts507

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Published

2022-02-28

How to Cite

Maistrenko, O., Khoma, V., Shcherba, A., Olshevskyi, Y., Pereverzin, Y., Popkov, O., Kornienko, A., Shatilo, O., & Maneliyk, A. (2022). Improving a procedure for determining the factors that influence the need of higher education institutions for specialists of the highest qualification . Eastern-European Journal of Enterprise Technologies, 1(3(115), 86–96. https://doi.org/10.15587/1729-4061.2022.251027

Issue

Vol. 1 No. 3(115) (2022): Control processes

Section

Control processes

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Copyright (c) 2022 Oleksandr Maistrenko, Vitalii Khoma, Andrii Shcherba, Yurii Olshevskyi, Yurii Pereverzin, Oleh Popkov, Alexander Kornienko, Oleksandr Shatilo, Andriy Maneliyk

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