Comparative assessment of sustainable consumption based on the digital information environment content-thematic component differentiation

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Comparative assessment of sustainable consumption based on the digital information environment content-thematic component differentiation. / Li, Yanjie; Terenteva, Daria; Konnikova, Olga; Konnikov, Evgenii.

In: Sustainability (Switzerland), Vol. 13, No. 13, 7215, 28.06.2021.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{e28219ce328e4976be14ee7aaf33e8d8,

title = "Comparative assessment of sustainable consumption based on the digital information environment content-thematic component differentiation",

abstract = "The modern culture of consumption often does not correspond to the principles of sustainable development, which leads to environmental pollution. As a possible solution to this problem, the authors propose to analyze the concept of sustainable consumption, following which can reduce the negative impact of mankind on the environment, which is an urgent issue at the global level. The aim of the study is to build a tool for comparative analysis of the level of sustainable consumption. The analysis is carried out in the digital environment, since this space provides a relative freedom of expression of the opinion of individuals, and the obtained data reflect the real level of “sustainability” of the behavior of participants in thematic social communities. The result of the research is an analytical tool tested on thematic social communities of the VK.com social network. In the process of building an analytical tool, primary and secondary tokenization were carried out using computer linguistics tools, an analytical dataframe was formed for a source reflecting the studied content-thematic component. To automate the process of forming a set of tokens, Python 3 programming language was used. The proposed tool can be used to determine the level of sustainable consumption in different social communities relative to each other. This approach can be used by companies to find target audiences and to promote environmentally friendly products. Moreover, this tool can be applied to attract consumers by increasing the level of sustainability in the corporate culture based on the research results. A separate problematic of realizing the developed methodology is the ethical component of analyzing natural digital information and the use of the results obtained on the basis of its analysis.",

keywords = "Content-thematic component, Information environment, Sustainable consumption, Tonal component, tonal component, content-thematic component, information environment, sustainable consumption",

author = "Yanjie Li and Daria Terenteva and Olga Konnikova and Evgenii Konnikov",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = jun,

day = "28",

doi = "10.3390/su13137215",

language = "English",

volume = "13",

journal = "Sustainability",

issn = "2071-1050",

publisher = "MDPI AG",

number = "13",

}

RIS

TY - JOUR

T1 - Comparative assessment of sustainable consumption based on the digital information environment content-thematic component differentiation

AU - Li, Yanjie

AU - Terenteva, Daria

AU - Konnikova, Olga

AU - Konnikov, Evgenii

PY - 2021/6/28

Y1 - 2021/6/28

N2 - The modern culture of consumption often does not correspond to the principles of sustainable development, which leads to environmental pollution. As a possible solution to this problem, the authors propose to analyze the concept of sustainable consumption, following which can reduce the negative impact of mankind on the environment, which is an urgent issue at the global level. The aim of the study is to build a tool for comparative analysis of the level of sustainable consumption. The analysis is carried out in the digital environment, since this space provides a relative freedom of expression of the opinion of individuals, and the obtained data reflect the real level of “sustainability” of the behavior of participants in thematic social communities. The result of the research is an analytical tool tested on thematic social communities of the VK.com social network. In the process of building an analytical tool, primary and secondary tokenization were carried out using computer linguistics tools, an analytical dataframe was formed for a source reflecting the studied content-thematic component. To automate the process of forming a set of tokens, Python 3 programming language was used. The proposed tool can be used to determine the level of sustainable consumption in different social communities relative to each other. This approach can be used by companies to find target audiences and to promote environmentally friendly products. Moreover, this tool can be applied to attract consumers by increasing the level of sustainability in the corporate culture based on the research results. A separate problematic of realizing the developed methodology is the ethical component of analyzing natural digital information and the use of the results obtained on the basis of its analysis.

AB - The modern culture of consumption often does not correspond to the principles of sustainable development, which leads to environmental pollution. As a possible solution to this problem, the authors propose to analyze the concept of sustainable consumption, following which can reduce the negative impact of mankind on the environment, which is an urgent issue at the global level. The aim of the study is to build a tool for comparative analysis of the level of sustainable consumption. The analysis is carried out in the digital environment, since this space provides a relative freedom of expression of the opinion of individuals, and the obtained data reflect the real level of “sustainability” of the behavior of participants in thematic social communities. The result of the research is an analytical tool tested on thematic social communities of the VK.com social network. In the process of building an analytical tool, primary and secondary tokenization were carried out using computer linguistics tools, an analytical dataframe was formed for a source reflecting the studied content-thematic component. To automate the process of forming a set of tokens, Python 3 programming language was used. The proposed tool can be used to determine the level of sustainable consumption in different social communities relative to each other. This approach can be used by companies to find target audiences and to promote environmentally friendly products. Moreover, this tool can be applied to attract consumers by increasing the level of sustainability in the corporate culture based on the research results. A separate problematic of realizing the developed methodology is the ethical component of analyzing natural digital information and the use of the results obtained on the basis of its analysis.

KW - Content-thematic component

KW - Information environment

KW - Sustainable consumption

KW - Tonal component

KW - tonal component

KW - content-thematic component

KW - information environment

KW - sustainable consumption

UR - http://www.scopus.com/inward/record.url?scp=85109402730&partnerID=8YFLogxK

U2 - 10.3390/su13137215

DO - 10.3390/su13137215

M3 - Article

AN - SCOPUS:85109402730

VL - 13

JO - Sustainability

JF - Sustainability

SN - 2071-1050

IS - 13

M1 - 7215

ER -

ID: 85279125