title: Model of reflexive selection of implicit indicators of management activities of an organization
metadata.name: dc.contributor.author
metadata.value: Nazarov, Dmitry M.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-10-10T10:02:08Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-10-10T10:02:08Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2017-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Nazarov D. M. Model of reflexive selection of implicit indicators of management activities of an organization. St Petersburg University Journal of Economic Studies, 2017, vol. 33, issue 3, pp. 498–518.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11701/spbu05.2017.308
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/8462
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article describes the economic-mathematical model of reflexive selection of implicit indicators of management activities of the organization in the framework of the classical approach implemented by R. Kaplan and D. Norton. According to the constructed model of the whole system of balanced performance indicators of the organization is represented in the form of the causal field, the structure of which contains three submodels: “implicit indicators”, “indirect indicators” “key performance indicators”. This representation allows not only to find the implicit performance of the organization in implementation of strategic goals, but to balance the total number of indicators, strategic maps, to estimate the strength of relations between indicators of submodels and within on the basis of fuzzy set theory, to justify and agree on their quantitative changes. The author gives an example application of the described approach based on the developed strategy map, ITERUS, Ltd and describes an information technology to automate the process of applying the model, presented in the form of a web service “Finding implicit parameters”. Refs 19. Figs 4. Tables 2.
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: St Petersburg University Journal of Economic Studies;Volume 33; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: reflexive management
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: balanced scorecard
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: organization
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: fuzzy sets
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: fuzzy binary relations
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: implicit factors implicit indicators of management activities
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Model of reflexive selection of implicit indicators of management activities of an organization
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 08-Nazarov.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/8462/1/08-Nazarov.pdf
resources.format: Adobe PDF
resources.size: 638,8 kB