Automated Assessment of Leadership Style and Professional Values of a Top-Manager and its Compliance with SDGS

Objective: the main objective was to use automated text analysis and assess the leadership styles and professional values of top managers, as well as to study how these parameters can influence the achievement of the SDG "Decent work and Economic growth". Theoretical Framework: The work is based on the idea that the leadership style and intelligence of a top manager determine the trajectory of a company’s development, the psychological working climate, the attitude towards employees, and the decision-making mechanism within and outside the team. Method: The authors used automated psychological text analysis using AI-based chatbots (ChatGPT, Gemini, Gigachat) and a specialized psychological text analysis program (LIWC). These methods were compared with psychological content analysis performed by a person. Results and Discussion: The obtained results showed that automated text analysis can be effectively used to understand the personality of the manager and the features of decision-making on his part in relation to employees and the organization. Research Implications: the approach proposed by the authors will allow for the development of measures to increase labor productivity and create decent jobs, taking into account the personality and values of the top manager, and will serve as a basis for the development of creativity and innovation in the company, thereby contributing to the achievement of the SDGs of “Decent Work and Economic Growth”. Originality/Value: the conducted research confirmed our hypothesis that text analysis allows us to understand important personality traits from the standpoint of intelligence, logic, thinking and speech, using artificial intelligence tools.