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Modeling Changes in the Enterprise Information Capital in the Digital Economy
The global COVID-19 pandemic has led to the self-isolation of people and the transformation of many economic and social processes into an electronic version thus contributing to the digitalization of all spheres. Being part of this environment, enterprises generate information resources to develop t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
the authors. Published by Elsevier Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906717/ http://dx.doi.org/10.3390/joitmc7030166 |
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author | Rodionov, Dmitriy Zaytsev, Andrey Konnikov, Evgeniy Dmitriev, Nikolay Dubolazova, Yulia |
author_facet | Rodionov, Dmitriy Zaytsev, Andrey Konnikov, Evgeniy Dmitriev, Nikolay Dubolazova, Yulia |
author_sort | Rodionov, Dmitriy |
collection | PubMed |
description | The global COVID-19 pandemic has led to the self-isolation of people and the transformation of many economic and social processes into an electronic version thus contributing to the digitalization of all spheres. Being part of this environment, enterprises generate information resources to develop their desired image, which may vary according to the factors characterizing the information environment. Information capital is a comprehensive characteristic of an enterprise and determines its effectiveness and sustainability. The purpose of this study is to develop a toolkit that allows one to assess the information capital of an enterprise, reflecting its perception within the digital information environment. It is necessary to develop the methodology for the formation of such tools. As a result, a fuzzy-plural approach has been developed to evaluate the index of external information capital. This model allows us to assess the external information capital and to simulate its changes caused by various kinds of information events. The study of key elements, for example, the stability and tonality indices, index of target perception made it possible to systematize chaotic changes in the external environment and describe them using the Chen–Lee attractor model. The results of this study can be useful for researchers in the field of digital information analysis, in particular for the comparative analysis of enterprises and the assessment of their information capital. |
format | Online Article Text |
id | pubmed-9906717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | the authors. Published by Elsevier Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-99067172023-02-08 Modeling Changes in the Enterprise Information Capital in the Digital Economy Rodionov, Dmitriy Zaytsev, Andrey Konnikov, Evgeniy Dmitriev, Nikolay Dubolazova, Yulia Journal of Open Innovation: Technology, Market, and Complexity Article The global COVID-19 pandemic has led to the self-isolation of people and the transformation of many economic and social processes into an electronic version thus contributing to the digitalization of all spheres. Being part of this environment, enterprises generate information resources to develop their desired image, which may vary according to the factors characterizing the information environment. Information capital is a comprehensive characteristic of an enterprise and determines its effectiveness and sustainability. The purpose of this study is to develop a toolkit that allows one to assess the information capital of an enterprise, reflecting its perception within the digital information environment. It is necessary to develop the methodology for the formation of such tools. As a result, a fuzzy-plural approach has been developed to evaluate the index of external information capital. This model allows us to assess the external information capital and to simulate its changes caused by various kinds of information events. The study of key elements, for example, the stability and tonality indices, index of target perception made it possible to systematize chaotic changes in the external environment and describe them using the Chen–Lee attractor model. The results of this study can be useful for researchers in the field of digital information analysis, in particular for the comparative analysis of enterprises and the assessment of their information capital. the authors. Published by Elsevier Ltd 2021-09 2022-12-31 /pmc/articles/PMC9906717/ http://dx.doi.org/10.3390/joitmc7030166 Text en © 2021 the authors. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Rodionov, Dmitriy Zaytsev, Andrey Konnikov, Evgeniy Dmitriev, Nikolay Dubolazova, Yulia Modeling Changes in the Enterprise Information Capital in the Digital Economy |
title | Modeling Changes in the Enterprise Information Capital in the Digital Economy |
title_full | Modeling Changes in the Enterprise Information Capital in the Digital Economy |
title_fullStr | Modeling Changes in the Enterprise Information Capital in the Digital Economy |
title_full_unstemmed | Modeling Changes in the Enterprise Information Capital in the Digital Economy |
title_short | Modeling Changes in the Enterprise Information Capital in the Digital Economy |
title_sort | modeling changes in the enterprise information capital in the digital economy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906717/ http://dx.doi.org/10.3390/joitmc7030166 |
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