Open AccessDevelopment of assessment criteria for profiling the personality of candidates for vacant positions based on an analysis of their activity in social networks
Author(s) -
V. Ilyin,
E.A. Mikhailova
Publication year - 2019
Publication title -
socialʹnaâ psihologiâ i obŝestvo
Language(s) - English
Resource type - Journals
ISSN - 2221-1527
DOI - 10.17759/sps.2019100412
Subject(s) - profiling (computer programming) , personality , relevance (law) , computer science , order (exchange) , field (mathematics) , data science , knowledge management , management science , psychology , business , social psychology , engineering , political science , mathematics , finance , pure mathematics , law , operating system
The article is devoted to quite relevant issues today, which are discussed at different levels of research in the field of management psychology, namely, the development of psychological profiling algorithms based on the analysis of activity in social networks, in order to solve organizational problems, in particular in order to solve problems HR sectors such as recruiting. The article, in a rather lapidary, but at the same time, sufficient form to represent a wide audience, shows that the relevance of this problem is due not only to objective prerequisites (development of digital technologies, insufficient, in modern conditions, the effectiveness of traditional methods of personnel assessment, etc. n.), but also by direct request of business representatives and top managers of large companies. The program of socio-psychological research is fully presented, which allows to identify and verify diagnostic criteria for creating a profile of labor motivation for candidates for vacant posts and employees of the organization, based on the analysis of accounts in social networks. Criteria and results of their preliminary verification are described.