Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/33198
Title: | Crowd-technology in the selection of personnel |
Authors: | Chulanova, Oxana Leonidovna Kucherenko, Gulnara Hamitovna Chulanov, Dmitry Viktorovich Kirillov, Andrey Vladimirovich Melnichuk, Aleksandr V. |
Keywords: | Economic development -- Russia Human capital -- Management Personnel management -- Russia Employee selection -- Russia Employees -- Recruiting -- Russia Crowdsourcing -- Russia Crowd funding -- Russia |
Issue Date: | 2017 |
Publisher: | University of Piraeus. International Strategic Management Association |
Citation: | Chulanova, O. L., Kucherenko, G. H., Chulanov, D. V., Kirillov, A. V., & Melnichuk, A. V. (2017). Crowd-technology in the selection of personnel. European Research Studies Journal, 20(4B), 380-397. |
Abstract: | In article is examined the crowdsourcing technology and the technology based on its principles a crowd-recruiting as instruments of staff recruitment in the organization. The presented technologies are new effective tools large-scale by geographical coverage and number of participants of selection of the employees who are really interested in work with this organization. Crowd-technologies, which are based on "the phenomenon of the crowd" can not only greatly speed up the solution of important problems for the company, but also significantly reduce costs. Was designed the methodology of introduction of crowdsourcing technology at staff recruitment in the organization Because of introduction of this methodology is assumed optimization of costs of the personnel, thanks to improvement of staff recruitment by means of crowd-technologies (crowdsourcing, crowd-recruiting, crowd-staffing), namely: increase of qualitative structure of the personnel and reduction of staff turnover thanks to what will be seen labor productivity growth. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/33198 |
ISSN: | 11082976 |
Appears in Collections: | European Research Studies Journal, Volume 20, Issue 4, Part B |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Crowd-Technology_in_the_Selection_of_Personnel_2017.pdf | 700.65 kB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.