The article examines the nature of the effect of the digital economy and artificial intelligence on the participants of the school educational process. The study deploys a Likert scale questionnaire, focused interview, and IBM SPSS Statistics 22 as the main instruments. The authors determine the status of a teacher in the AI-teacher system and identify the nature of AI's influence on the students and communication within the teacher-student-teacher system. Support is provided for the hypothesis suggesting that the effect of the digital economy and AI on the participants of the school educational process (teachers and students) is complex and controversial and causes the differences in the teachers' positions depending on their age, working experience, and the subject of specialization. The primary advantage of the article is the identification of stable relationships in the teacher-student-teacher system developing with the help of AI. The study indicates the teacher's advantage over AI in teaching technique and social influence, as well as the negative effect of AI on students' health. For the first time, the authors examine the nature of role changes in the AI-teacher system in the context of a global pandemic. The danger of AI replacing teachers with the help of teachers themselves is identified. The acquired results may be used by theorists and practitioners for further development of the foundations of the system of education and human interaction with AI in the digital economy.

The goal of the article is to determine and evaluate the readiness of megapolis residents to participate in megaprojects in the context of the digitalization of the economy and the use of artificial intelligence. The main empirical methods are a questionnaire survey, in-depth interviews, and a focus group conducted using distance instruments due to the pandemic-related restrictions. The study demonstrates that the readiness of megapolis residents to take part in megaprojects under the conditions of the digitalization of the economy and the use of artificial intelligence is ambiguous. Obtaining the necessary human resources is often critical for the organizers of megaprojects. For the first time, the authors identify the main factors of the attractiveness of participating in megaprojects for megapolis residents: the opportunity to get the experience of working in a large project, interest in communicating with different people, and the opportunities to make a career and get a good salary. The important factors also include satisfaction from participating in a grandiose megaproject and becoming a pioneer in a big business. The factors of negligible importance are the opportunities to implement one’s professional skills and communicate in a foreign language in a foreign company, having access to information, and avoiding deployment in the army. The main advantage of the study is the systemic approach to evaluating the readiness of megapolis residents to participate in megaprojects, as well as the identification of the trends of the fragmentary and temporary readiness of megapolis residents for participation in megaprojects and the striving of young megapolis citizens to obtain new professional skills and abilities in megaprojects. Labor activity of megapolis residents in megaprojects is found to be contingent on their age, The obtained results can be used to improve the state personnel policy and the system for the formation of personnel potential in a megaproject.

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At the heart of every ERP is a single database that allows employees of the organization to rely on the same consistent set of information. Data migration is an important component of ERPs upgrade, implementation and integration projects. At the same time, the migration scenario can be complex and lengthy, require a large amount of resources and high competencies of the management staff. Underestimating the required time and effort can lead to a significant increase in costs and delay in the commissioning of the ERP. The accuracy and completeness of the transmitted data is also of great importance, since many aspects of the business – customer satisfaction, decision-making, supply chain and relationships with partners – will depend on the quality of the data. Despite this, the complexity of data migration scenarios is traditionally underestimated. In most existing studies, data migration is considered mainly from the technical side. Aspects related to the conceptual content of data migration, its relationship with business processes and company management, as well as the specific role of data migration in projects of updating, implementing and integrating ERPs, remain insufficiently developed. The aim of the study. The aim of this study is to supplement theoretical ideas about the content, diversity, problems and strategies of data migration in the context of ERPs. Materials and methods. The article summarizes and systematizes the types, stages of the project, key strategies and the most significant problems of data migration. For the purposes of this study, the material from 23 sources on a similar topic was reviewed, revised and supplemented. Results. The paper describes classifications of types of data migration, provides examples related to ERP. The stages of the data migration project are described in detail and supplemented. The comparison of two key data migration strategies is given, their advantages and disadvantages are highlighted, recommendations for the application of a particular strategy are formed. The main problems of data migration in the context of ERPs, the consequences of these problems for the entire migration project are considered. Conclusion. The results obtained suggest that data migration is a complex and time-consuming process that requires serious competencies from management and performers. The migration strategy should be developed in an effective way and take into account all the variety of influencing factors.

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