МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ ПОДБОРА ПЕРСОНАЛА
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

THE MATHEMATICAL MODELING OF RECRUITMENT

Murashkin N.G. 

UDC 681.3
DOI:

  • Abstract
  • List of references
  • About authors

The paper deals with the construction of a mathematical model of search and evaluation of recruitment on the labour market. Describes the most common methods of personnel selection: interview (interview), the use of an assessment centre testing. Many candidates divided into two classes: the workers, who have completed a probationary period at the client company, and those who didn't have it. Use a scoring model in which a vector of factors, reflecting the information provided in the summary of the employee that influence the dependent binary variable having the meaning of the successful completion of the employee probation period. In the case of nonlinear models, one possibility to determine the measure of the quality of a fitted model is to compare the number of incorrect predictions produced by the long model, and the predictions obtained by models in which the explanatory variable is only a constant.

1. Filippova V.N. Vozmozhnosti podgotovki kvalifitsirovannykh kadrov / V.N.Filippova, A.P.Preobrazhenskiy // V sbornike: Rossiya: tendentsii i perspektivy razvitiya Ezhegodnik. INION RAN. Moskva, 2015. pp. 611-613.

2. Preobrazhenskiy A.P. Analiz kharakteristik podgotovki sovremennykh vysokvalifitsirovannykh inzhenernykh kadrov / A.P.Preobrazhenskiy, O.N.Choporov // V mire nauchnykh otkrytiy. 2015. No. 9.2 (69). pp. 676- 680.

3. Filipova V.N. Metody otsenki kompetentsiy rabotnikov v organizatsii / V.N.Filippova, A.P.Preobrazhenskiy // V mire nauchnykh otkrytiy. 2015. No. 3.9 (63). pp. 4115-4120.

4. Preobrazhenskiy A.P. Rol' psikhodiagnostiki v podbore personala v organizatsiyakh / A.P.Preobrazhenskiy, O.N.Choporov // V mire nauchnykh otkrytiy. 2015. No. 7.9 (67). pp. 3301-3308.

5. Kvale S. Issledovatel'skoe interv'yu / S. Kvale. - M. : Smysl, 2003. – p.301

6. Dzhandalieva, E. Yu. Portretnoe interv'yu kak zhanr rechevogo obshcheniya: nekotorye osobennosti kommunikativnogo povedeniya uchastnikov / E. Yu. Dzhandalieva ; per. s nem. // Nauchnyy dialog. - 2012. - No. 12: Filologiya. - pp. 86-101.

7. Preobrazhenskiy A.P. Osobennosti ispol'zovaniya informatsionnykh tekhnologiy pri podgotovke sovremennykh spetsialistov / A.P.Preobrazhenskiy, O.N.Choporov // V mire nauchnykh otkrytiy. 2015. No. 9.2 (69). pp. 670-675.

8. Sorokin, A. S. Postroenie skoringovykh kart s ispol'zovaniem modeli logisticheskoy regressii / A. S. Sorokin // Naukovedenie. - 2014. - No. 2. - pp. 1 - 29.

9. Hosmer, D. W. Applied logistic regression / David W. Hosmer, Jr., Stanley Lemeshow, R. X. Sturdivant. // 3rd edition. New York: John Wiley & Sons INC, 2013. – p. 528

10. Izenman, A. J. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning Springer / A.J. Izenman. // New York: Springer-Verlag, 2008. p.760

Murashkin Nikita Gennadievich

Email: nikgen@dmail.ru

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Keywords: regression analysis, analysis of methods of personnel selection, interviewing method, test method, evaluation method of the voices of the applicant, the assessment of probability

For citation: Murashkin N.G. THE MATHEMATICAL MODELING OF RECRUITMENT. Modeling, Optimization and Information Technology. 2017;5(1). URL: https://moit.vivt.ru/wp-content/uploads/2017/02/Murashkin_1_17_1.pdf DOI: (In Russ).

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Published 31.03.2017