Methods of Multi-Criteria Optimization in the Tasks of Selecting Employees for Remote Work
The specifics of the labor resources state, the features of their interaction with the employer, the development stages of the remote interaction system between employees and employers are investigated. The article discusses issues related to the formation of the remote work concept and analyzes the causes of this form of employment. The problems related to the effective use of labor resources in conditions of limited availability are considered. The article examines the tendency of using a remote work format as a way of solving, which requires taking into account a variety of both traditional and specific factors. It is determined that personnel selection not only remains an important function in the personnel management system, but also receives a different content. It is established that it is necessary to take into account a certain set of specific characteristics determined by the form of interaction between the applicant and the employer, as well as the risks determined by the strategic goals of the business. In order to assess whether the format is suitable for the candidate, it is therefore necessary to establish more selection criteria than traditional ones. As a result, the selection task becomes multi-criteria and the possibility of obtaining effective solutions in conditions of their multiplicity can be provided only with the use of IT technologies that form the decision-making process based on algorithms that implement mathematical methods of multi-criteria optimization. The decision-making process, represented as a sequence of steps, each of that reduces the number of alternatives - applicants, ensures the solution choice that is the most effective one from the point of view of the company's development strategy.
Authors
- Elena Khitrova (ORCID: https://orcid.org/0000-0002-5002-8402)
- Tatyana Khitrova
- Ольга Анатольевна Пешкова
Institutions
- Baikal State University (RU)
Publication Details
- Journal
- Bulletin of Baikal State University
- Published
- 2025-04-15
- DOI
- https://doi.org/10.17150/2500-2759.2025.35(1).78-85
- Primary Topic
- Labor Market and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00