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Digital modeling of strategic sustainability assessments : New approach, recommendations, prospects. / Malenkov, Yury; Kapustina, Irina; Kudryavtseva, Galina; Shishkin, Victor I.

Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019. ACM. ред. ACM : Association for Computing Machinery, 2019. 3373348 (ACM International Conference Proceeding Series).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Malenkov, Y, Kapustina, I, Kudryavtseva, G & Shishkin, VI 2019, Digital modeling of strategic sustainability assessments: New approach, recommendations, prospects. в Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019. ACM изд., 3373348, ACM International Conference Proceeding Series, Association for Computing Machinery, ACM, 2019 International SPBPU Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019, Saint Petersburg, Российская Федерация, 24/10/19. https://doi.org/10.1145/3372177.3373348, https://doi.org/10.1145/3372177.3373348

APA

Malenkov, Y., Kapustina, I., Kudryavtseva, G., & Shishkin, V. I. (2019). Digital modeling of strategic sustainability assessments: New approach, recommendations, prospects. в Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019 (ACM ред.). [3373348] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3372177.3373348, https://doi.org/10.1145/3372177.3373348

Vancouver

Malenkov Y, Kapustina I, Kudryavtseva G, Shishkin VI. Digital modeling of strategic sustainability assessments: New approach, recommendations, prospects. в Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019. ACM ред. ACM: Association for Computing Machinery. 2019. 3373348. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3372177.3373348, https://doi.org/10.1145/3372177.3373348

Author

Malenkov, Yury ; Kapustina, Irina ; Kudryavtseva, Galina ; Shishkin, Victor I. / Digital modeling of strategic sustainability assessments : New approach, recommendations, prospects. Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019. ACM. ред. ACM : Association for Computing Machinery, 2019. (ACM International Conference Proceeding Series).

BibTeX

@inproceedings{1cfa28fcaa3c40dcbd288c992ec0b5dc,
title = "Digital modeling of strategic sustainability assessments: New approach, recommendations, prospects",
abstract = "The object of this study is digital assessments of the strategic sustainability of enterprises. The motivation for this study was, on the one hand, the role and importance of scientific management of strategic sustainability of enterprises for regions, especially the depressed ones, and the Russian economy as a whole, in the face of growing market turbulence, and on the other hand, the lack of development of methods and models in this area . To build models and their verification, methods of system modeling, causal analysis, content analysis, strategic analysis and forecasting were used. The main scientific results are: a new digital model of strategic sustainability, based on a causal model of key criteria for strategic sustainability and including three levels (zones) of strategic enterprise unsustainability; a new principle of priority in orienting digital assessments of strategic sustainability to present and future changes in the external and internal environment instead of the universally applied retrospective analysis used today; a new classification of scientific approaches to the study of company sustainability by the criterion of objectivity of results; new key indicators and boundaries of strategic unsustainability zones; a brief algorithm for the formation of final integrated digital assessments of the strategic sustainability of enterprises on the basis of partial criteria and threshold models. As proposals developed recommendations for the Ministry of economic development on the addition of the Order of Ministry of economic development of the Russian Federation from March 23, 2017 N 132 by the provision of the necessary digital calculations of strategic sustainability of enterprises in the 3, 5 and 10 years, as well as recommendations for the Ministry of science and higher education of the Russian Federation to stimulate development of new areas of research - digital simulation of strategic sustainability of enterprises in the universities and research institutes . The main findings of the study are: the identification and formulation of a new problem of the absence in strategic management of digital assessments of the strategic sustainability of enterprises; the rationale for the transition from standard retrospective statistical methods to priority system digital models built on the basis of models of cause-effect relationships, and the use in theory and practice of management of new digital criteria and models for assessing the strategic sustainability of enterprises.",
keywords = "Cause-and-effect model, Digital assessment, Digital platform, Strategic management, Strategic sustainability, Strategic unsustainability",
author = "Yury Malenkov and Irina Kapustina and Galina Kudryavtseva and Shishkin, {Victor I.}",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2019 International SPBPU Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019 ; Conference date: 24-10-2019 Through 25-10-2019",
year = "2019",
month = oct,
day = "24",
doi = "10.1145/3372177.3373348",
language = "English",
isbn = "978-1-4503-7244-2",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019",
address = "United States",
edition = "ACM",

}

RIS

TY - GEN

T1 - Digital modeling of strategic sustainability assessments

T2 - 2019 International SPBPU Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019

AU - Malenkov, Yury

AU - Kapustina, Irina

AU - Kudryavtseva, Galina

AU - Shishkin, Victor I.

N1 - Publisher Copyright: © 2019 Copyright held by the owner/author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019/10/24

Y1 - 2019/10/24

N2 - The object of this study is digital assessments of the strategic sustainability of enterprises. The motivation for this study was, on the one hand, the role and importance of scientific management of strategic sustainability of enterprises for regions, especially the depressed ones, and the Russian economy as a whole, in the face of growing market turbulence, and on the other hand, the lack of development of methods and models in this area . To build models and their verification, methods of system modeling, causal analysis, content analysis, strategic analysis and forecasting were used. The main scientific results are: a new digital model of strategic sustainability, based on a causal model of key criteria for strategic sustainability and including three levels (zones) of strategic enterprise unsustainability; a new principle of priority in orienting digital assessments of strategic sustainability to present and future changes in the external and internal environment instead of the universally applied retrospective analysis used today; a new classification of scientific approaches to the study of company sustainability by the criterion of objectivity of results; new key indicators and boundaries of strategic unsustainability zones; a brief algorithm for the formation of final integrated digital assessments of the strategic sustainability of enterprises on the basis of partial criteria and threshold models. As proposals developed recommendations for the Ministry of economic development on the addition of the Order of Ministry of economic development of the Russian Federation from March 23, 2017 N 132 by the provision of the necessary digital calculations of strategic sustainability of enterprises in the 3, 5 and 10 years, as well as recommendations for the Ministry of science and higher education of the Russian Federation to stimulate development of new areas of research - digital simulation of strategic sustainability of enterprises in the universities and research institutes . The main findings of the study are: the identification and formulation of a new problem of the absence in strategic management of digital assessments of the strategic sustainability of enterprises; the rationale for the transition from standard retrospective statistical methods to priority system digital models built on the basis of models of cause-effect relationships, and the use in theory and practice of management of new digital criteria and models for assessing the strategic sustainability of enterprises.

AB - The object of this study is digital assessments of the strategic sustainability of enterprises. The motivation for this study was, on the one hand, the role and importance of scientific management of strategic sustainability of enterprises for regions, especially the depressed ones, and the Russian economy as a whole, in the face of growing market turbulence, and on the other hand, the lack of development of methods and models in this area . To build models and their verification, methods of system modeling, causal analysis, content analysis, strategic analysis and forecasting were used. The main scientific results are: a new digital model of strategic sustainability, based on a causal model of key criteria for strategic sustainability and including three levels (zones) of strategic enterprise unsustainability; a new principle of priority in orienting digital assessments of strategic sustainability to present and future changes in the external and internal environment instead of the universally applied retrospective analysis used today; a new classification of scientific approaches to the study of company sustainability by the criterion of objectivity of results; new key indicators and boundaries of strategic unsustainability zones; a brief algorithm for the formation of final integrated digital assessments of the strategic sustainability of enterprises on the basis of partial criteria and threshold models. As proposals developed recommendations for the Ministry of economic development on the addition of the Order of Ministry of economic development of the Russian Federation from March 23, 2017 N 132 by the provision of the necessary digital calculations of strategic sustainability of enterprises in the 3, 5 and 10 years, as well as recommendations for the Ministry of science and higher education of the Russian Federation to stimulate development of new areas of research - digital simulation of strategic sustainability of enterprises in the universities and research institutes . The main findings of the study are: the identification and formulation of a new problem of the absence in strategic management of digital assessments of the strategic sustainability of enterprises; the rationale for the transition from standard retrospective statistical methods to priority system digital models built on the basis of models of cause-effect relationships, and the use in theory and practice of management of new digital criteria and models for assessing the strategic sustainability of enterprises.

KW - Cause-and-effect model

KW - Digital assessment

KW - Digital platform

KW - Strategic management

KW - Strategic sustainability

KW - Strategic unsustainability

UR - http://www.scopus.com/inward/record.url?scp=85081610823&partnerID=8YFLogxK

U2 - 10.1145/3372177.3373348

DO - 10.1145/3372177.3373348

M3 - Conference contribution

AN - SCOPUS:85081610823

SN - 978-1-4503-7244-2

T3 - ACM International Conference Proceeding Series

BT - Proceedings - International Scientific Conference on Innovations in Digital Economy, SPBPU IDE 2019

PB - Association for Computing Machinery

CY - ACM

Y2 - 24 October 2019 through 25 October 2019

ER -

ID: 53357346