Staffing search and recruitment of personnel on the basis of artificial intelligience technologies
Entrepreneurship and Sustainability Issues, ISSN: 2345-0282, Vol: 7, Issue: 3, Page: 2456-2469
2020
- 10Citations
- 40Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The key reasons for the transformation of the domestic labor market and the grounds for changing approaches to the formation of staffing are identified. The development of technological solutions to automate the functions of attracting applicants and the primary diagnosis of their suitability to the requirements of the position and organization are presented. A comparative analysis of the possibilities provided by technological solutions for automated search and attracting candidates is given. The problem of search specialization and interaction with the target audience is highlighted. The description of the technological solution for work with the expanded market offer on the basis of point response to information on the offer of a new working place is offered. The article describes the content of the technology and presents a new algorithm for the domestic market search and work with the target audience. Intelligent search and evaluation of the suitability of the applicant in the new technological solution is based on the information trail left by the person in the network.
Bibliographic Details
Entrepreneurship and Sustainability Center
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