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Management of Business Competitiveness Based on Artificial Intelligence and Big Data for Its Sustainable Development

The article is devoted to determining the prospects for improving the management of business competitiveness through expanding the use of artificial intelligence and big data technologies for its sustainable development in Russia. The research methodology is based on the use of regression analysis, which is used to model the influence of factors of the use of digital technologies in business on the competitiveness of the economy. The time period of the study covers the boundaries of the Decade of Science and Technology: statistics for 2022 are used and a forecast is compiled for the period until 2031. As a result, based on the experience of the top 30 countries with the most active use of digital technologies in business in 2022, the authors compiled an econometric model competitiveness of the economy. Based on this model, the prospect of using artificial intelligence and big data in managing the competitiveness of Russian business for its sustainable development in the Decade of Science and Technology is revealed. The author’s main conclusion based on the results of the study is that the prospect of strengthening the competitiveness and sustainable development of business in Russia in the Decade of Science and Technology is associated with an increase in the use of artificial intelligence and big data technologies by business structures. The authors substantiate the feasibility of active technological modernization of business to strengthen technological competitive advantages, which are of great value in the modern market environment. The authors provide a scientific argument that artificial intelligence and big data technologies are more preferable (they make a much greater contribution to competitiveness) than Internet of Things technologies and cloud services. The practical significance of the results obtained by the authors is due to the fact that the recommendations compiled for increasing the activity of using artificial intelligence and big data in Russian business will make it possible to more fully reveal the growth potential of its competitiveness. The proposed control values of the relevant indicators will serve as guidelines for this in support of sustainable business development in Russia Read more...

Optimization Personnel Management of Non-profit Organizations as a Condition for Ensuring Their Competitiveness

The article examines the situation with the staffing of socially oriented non-profit organizations that has developed in Russia in recent years. The relevance of the affected issues is due to the high importance of the activities of subjects of the non-profit sector of the economy to ensure the economic and social development of Russia. The methodology of the research conducted in the article is based on a statistical analysis of quantitative data reflecting the current situation in the field of staffing of socially oriented non-profit organizations. Based on the results of the analysis, a conclusion is drawn about the downward dynamics of the number of socially oriented non-profit organizations employees (and, accordingly, the insufficiency of their current number to ensure the development of the tertiary sector of the economy). Separately, there is a decrease in the level of public involvement in the functioning of the subjects of the non-profit sector of the economy, which is recorded on the basis of data on the nature of changes in the number of employees. The practical significance of the conducted research lies in the substantiation by the authors of the need to develop the personnel policy of socially oriented non-profit organizations based on the results of a detailed analysis of the relevant indicative indicators, as well as in the development of appropriate recommendatory measures. Thus, the organization of personnel work with volunteers, who, according to the authors, are more likely to be able to join staff of socially oriented non-profit organizations than representatives of other categories of potential employees, is positioned as the main direction of transformation of this area. In addition, the positive effect of the organization of internships by socially oriented non-profit organizations for students and graduates of secondary and higher professional education institutions is emphasized, which will allow potential employees to familiarize themselves with the goals of socially oriented non-profit organizations and their key values. Read more...