| Title | Application of Data Mining to Assessment of the Sustainable Development Goals Implementation in Business |
|---|---|
| ID_Doc | 34685 |
| Authors | Kozhevina, O; Salienko, N; Danko, E; Ordov, K; Pavlova, I |
| Title | Application of Data Mining to Assessment of the Sustainable Development Goals Implementation in Business |
| Year | 2022 |
| Published | |
| Abstract | Sustainable development is incorporated in the system of corporate social responsibility, and it is aimed at achievement of social, economic, and technological effectiveness. In the research the transition to sustainable development is studied based on implementing Sustainable Business Goals (SDGs) in their business models. In this article Russian SDGs are analyzed and identified the most popular SDGs in the business community are identified. A sociological investigation was conducted on the integration of responsible business principles and SDGs in the business models of different companies. The authors of the study developed an algorithm for a sociological study, determined the criteria for the sample of respondents and the validity. Firstly, the analysis of the study results was carried out by traditional sociological and comparative methods, and afterwards by data mining methods. Survey questions were the following: 1) type of company; 2) what is the scope of the company; 3) the category of employees; 4) visibility and awareness of the SDGs; 5) implementation of the SDGs in the company's activities; 6) the most relevant SDGs in the company for implementation. In the research 1,310 specialists and heads of various organizations were interviewed. The analysis of the presented questions was carried out by the methods of Data Mining application in the following stages: data quality, decision tree, checking the accuracy of the algorithm, identifying stable rules and dependencies, forecasting SDGs. |
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