title: Social innovation in Russian cities: Assessing service management potential
metadata.name: dc.contributor.author
metadata.value: Balashov, Aleksei I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vasilieva, Elena A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Stolyarova, Daria A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-04-28T11:10:53Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-04-28T11:10:53Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Balashov A. I., Vasilieva E. A., Stolyarova D. A. Social innovation in Russian cities: Assessing service management potential. Vestnik of Saint Petersburg University. Sociology, 2022, vol. 15, issue 4, pp. 424–440. https://doi.org/10.21638/spbu12.2022.407 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu12.2022.407
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41398
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article presents a method for assessing the potential of social innovations in the cities of
  the Russian Federation based on the use of quality of life indicators provided by VEB.RF. The
  social innovative potential is the presence of a set of socio-economic development conditions
  that positively influence the creation, dissemination and use of innovations, both technical
  and managerial, in the provision of social services. In the course of the study a hierarchical clustering of the cities according to the obtained comprehensive assessment using Ward’s
  method was carried out. It was established that the cluster with high potential for emergence
  and development of social innovations includes only two cities out of studied 51 ones, the
  largest number of cities are included in the cluster with low level of potential. A high level of
  potential has been identified in small single-industry towns, with a homogenised population
  engaged in high-tech industry, with a high level of self-organisation and civic engagement.
  The population of cities with the lowest levels of potential is characterised by high levels of
  fragmentation, which is not compensated by higher levels of income. The key factors determining
  the potential are the activity of interaction within communities and the presence of organisations
  that carry out their activities in the social services sector. Thus, it can be assumed
  that increasing the potential for social innovation in Russian cities depends on the communication
  competences of local authorities and the establishment of a functioning system of
  social entrepreneurship, which brings to the fore the problem of integrating modern effective
  management methods into the social services sector.
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. Sociology;Volume 15; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: social innovation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: services sector
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: management
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: innovative potential
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: local government
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Social innovation in Russian cities: Assessing service management potential
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 15887-Текст статьи-53813-1-10-20230428.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41398/1/15887-%d0%a2%d0%b5%d0%ba%d1%81%d1%82%20%d1%81%d1%82%d0%b0%d1%82%d1%8c%d0%b8-53813-1-10-20230428.pdf
resources.format: Adobe PDF
resources.size: 1 MB