Ovchinnikova Oksana P.

Introduction. Digital economy has generated a completely new model of human-machine interaction based on the active use of digital technologies in almost all spheres of human activity. Most information systems used by organizations are integrated with big data analytics, which requires higher qualified staff. The job responsibilities of employees change according to industry and corporate needs. The requirements for staff qualification are increasing, urging the company HR service to find, attract and retain specialists of the required qualifications, and organize staff development in the organization. Innovations in decision-making algorithms make artificial intelligence the most useful tool for implementing a human resource management strategy in an organization.

Materials and methods. The article uses general scientific research methods, such as qualitative analysis, observation method, synthesis, logical induction method and others. The information basis of the article consists of scientific research works, official documents, and information posted in the media. A secondary analysis of the research on the topic under study was carried out.

Results. Despite the fact that the processes related to personnel management have always been a human cognitive ability, artificial intelligence technologies can currently provide technical solutions in the field of recruitment and further staff development. Artificial intelligence plays an important role in collecting candidate data from various sources, and is able to evaluate the required candidates based on a job description more effectively and objectively than a HR officer. Artificial intelligence can more accurately describe a job that corresponds to the business process in skills. Artificial intelligence technologies can play an important role in the process of organizing professional development and retraining of staff. The use of artificial intelligence provides for obtaining more personalized and understandable results excluding the "human factor". In this article, special attention is paid to artificial intelligence technologies, which can be effectively used in staff management. The opportunities to increase the HR employees’ productivity are considered, main risks of artificial intelligence introduction are highlighted and recommendations for its efficient application are given. The research novelty is in identification of the scope of the use of artificial intelligence in the organizational personnel policy, making it possible to realize the opportunities for revealing the creative potential of the organization’s employees and increase competitiveness. 

Discussion. It is absolutely clear that AI is becoming an integral part of business ecosystems, and necessary to maintain and increase the level of competitiveness of economic agents. Nevertheless, AI is constantly evolving, which allows companies to expand the functionality of its use. However, it is important to define the boundaries of AI use, including how human-machine interaction will be ensured, which functions can be given to AI, and which can be abandoned.

Purpose. Development scientific-methodological substantiation of modern methods of performance assessment обмеof influence on municipal level and recommendations development on provision of effective activity of local self-power bodies. Methods. Analysis of specificity of municipal development management is based on the author’s methodology including a number of indices which were calculated for municipal entities (municipal districts) in Oryol region for 2013 as the basic one was adopted in 2011. Results. The author substantiated a methodological approach to the improvement of assessment system of effectiveness of municipal development management, which allows specializing information on the condition of every municipal entity, on contribution character of power bodies to its development, and form an information basis for the development and correction of managerial decisions. Scientific novelty. Scientific novelty is in solving tasks effectiveness assessment of managerial influence of self-power bodies that allow reacting adequately to changes of external factors conducting social-economic policy towards its correction to improve living standards of population on a specific territory.

Purpose. Development of integral index of development level of municipal education determining the most significant potentials showing a level of the territory functioning. Methods. Methodological research basis is introduced by the methods from the general to the specific, the methods of induction and deduction, economic-statistical analysis, graphical methods, classification methods, generalization, etc. Results. On the basis of the conducted research the authors identified and solved the main problems concerning the assessment of local power bodies’ activity. The found out that the indices in the annual report of municipal districts on efficient activity of local power bodies did not provide adequate assessment of those territories development and were averaged and non-informative. In this connection the authors were proposed to add integral indices of territories development to their report. In its turn it permits to identify it as a general situation of a municipal entity functioning and substantiate main priorities of the targets for the territory functioning. Scientific novelty is: the proposed authorized approach to assessment of local power bodies’ activity; the proposed classification of potentials forming integral index.