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.
Paul R. Cohen's Empirical Methods for Artificial Intelligence
