title: Measuring sustainability of Russian largest companies
metadata.name: dc.contributor.author
metadata.value: Verenikin, Alexei O.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Makhankova, Natalia A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Verenikina, Anna Y.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2022-08-30T09:46:49Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2022-08-30T09:46:49Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Verenikin A. O., Makhankova N. A., Verenikina A. Y. 2021. Measuring sustainability of Russian largest companies. Russian Management Journal 19 (3): 237–287. (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu18.2021.301
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/37510
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Prolonged and uncertain sustainable development routes provoke an urgent need for companies,
  investors and counterparties for assessment of efficiency of pursued business strategies, opportunity
  costs and long run benefits. However a unified algorithm is lacking and it makes compatible and
  impartial assessment of business performance rather complicated. The study develops and applies
  an automated adaptive methodology for calculating the integral indicator of company sustainability
  based on the generalized modified principal component analysis. The study is based on data from
  23 Russian companies with maximum disclosure of sustainability indicators. The companies’ integral
  indicators generate sustainable development rating. It can be updated automatically with a new
  wave of the companies’ financial and non-financial reports. The proposed algorithm exceeds alternative
  methods of comparison of business models based on principles of sustainable development because
  it does not assume any expert assessments of companies’ activities and provides distinct ranking
  of companies. In contrast to the traditional principal component analysis the method developed in
  the article avoids any loss of variation of the initial data. Decomposition of the integral indicator
  identifies financial, socio-economic and environmental determinants for companies’ sustainability.
  The study examines the relationship between the ownership and management structure of the
  company and its achievements on sustainable development path.
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: Russian Management Journal;Volume 19; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: sustainable development
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: ESG rating
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: principal components analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: social responsibility of business
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: environmental responsibility of business
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Measuring sustainability of Russian largest companies
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 01.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/37510/1/01.pdf
resources.format: Adobe PDF
resources.size: 1,19 MB