Issue |
BIO Web Conf.
Volume 140, 2024
International Scientific and Practical Conference “Sustainable Development of the Environment and Agricultural Sector: Innovative and Ecological Technologies” (SDEA2024)
|
|
---|---|---|
Article Number | 06006 | |
Number of page(s) | 7 | |
Section | Socio-Economic, Theoretical and Methodological Aspects of Sustainable Development | |
DOI | https://doi.org/10.1051/bioconf/202414006006 | |
Published online | 15 November 2024 |
Referral programs as a referral recruiting tool
1 Ural State University of Railway Transport, Ekaterinburg, Russia
2 Ural State Agrarian University, Ekaterinburg, Russia
3 Ural Federal University, Ekaterinburg, Russia
* Corresponding author: ana1856@mail.ru
The article analyzes the practice of developing and using referral programs that activate and streamline the use of referral recruiting. The purpose of this study is to analyze the advantages, disadvantages, and features of the content of referral programs as a tool for attracting staff, formulate an algorithm for their development and criteria for evaluating their effectiveness. The study was conducted in the first quarter of 2024 at a large industrial enterprise in Yekaterinburg with more than 5000 employees. According to the study, more than a third of the available vacancies in 2023 at the analyzed enterprise were closed on the recommendations of their employees, as well as former employees. Nevertheless, the potential of the referral program has not been fully realized due to the lack of its integration with other digital recruiting tools and the weak involvement of factory employees in it. The authors have proposed a number of personnel solutions to improve the effectiveness of referral recruiting in the enterprise.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.