title: Working groups: Creation and management
metadata.name: dc.contributor.author
metadata.value: Lezhnina, Elena A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Khitrov, Gennady M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kalinina, Elizaveta A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kononov, Ivan A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-03-14T18:52:35Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-03-14T18:52:35Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Lezhnina, E. A., Khitrov, G. M., Kalinina, E. A., & Kononov, I. A. (2023). Working groups: Creation and management. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 18(4), 608-620.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu10.2022.414
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/39317
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: In modern management, one of the most popular and effective approaches to organizing activities is the creation of temporary working groups. An important indicator is the effectiveness of such groups, which strongly depends on the internal structure of the working group and the relationship between team members. For the effective functioning of the group, it is necessary that the group consists of a leader and subordinates. The artificial appointment of a team leader often proves ineffective. The article solves the problem of dividing the team into working groups, taking into account the relationship between individual personalities. Two algorithms are proposed: the first one divides the team into separate groups of possible leaders and subordinates, the second one makes effective working groups. The effectiveness of the group is calculated based on the ee efficiency function, which takes into account interpersonal relationships. Practical and numerical experiments were carried out to verify the adequacy of the model.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 18; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: working groups
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: adjacency matrix
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: hierarchical clustering algorithm
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Working groups: Creation and management
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 15544-Текст статьи-52328-1-10-20230310.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/39317/1/15544-%d0%a2%d0%b5%d0%ba%d1%81%d1%82%20%d1%81%d1%82%d0%b0%d1%82%d1%8c%d0%b8-52328-1-10-20230310.pdf
resources.format: Adobe PDF
resources.size: 481,8 kB