INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Automation of staff recruitment and assessment

Authors

  • Mukhanov S.B. International Information Technology University
  • Alimbekov A.Ye. International Information Technology University
  • Marat G.S. International Information Technology University
  • Uatbayeva A.M. International Information Technology University
  • Aldanazar A.A. International Information Technology University

DOI:

https://doi.org/10.54309/IJICT.2020.3.3.009

Keywords:

HR management, artificial neural networks, employees, binary classification, binary regression, Probability

Abstract

This article presents a quantitative approach to modeling the process of recruitment and evaluation of personnel. In this work, there are theoretical aspects of personnel selection and analysis of foreign experience. The fundamental models of binary choice, the solution of which was implemented using artificial neural networks are also considered. There are mathematical models, methods, formulas and equations presented. Analyzed and researched how to improve recruitment methods by means of their automation.

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Published

2021-07-29

How to Cite

Mukhanov S.B., Alimbekov A.Ye., Marat G.S., Uatbayeva A.M., & Aldanazar A.A. (2021). Automation of staff recruitment and assessment. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES, 1(3). https://doi.org/10.54309/IJICT.2020.3.3.009

Issue

Vol. 1 No. 3 (2020): INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Section

SMART SYSTEMS

License

https://creativecommons.org/licenses/by-nc-nd/3.0/deed.en