In recent decades, there has been a shift to a digital economic model. In the digital economy the main factor of competitiveness of industrial enterprises is human capital-the sum total of man's skills, his knowledge, skills, experience, professionalism, education level, used in industrial enterprises, which contribute to the improvement of company's performance and the professional development of the employee. Today, the issue of digital literacy of the human capital of industrial enterprises, which allows the most effective use of digital technologies and available financial resources, is acute. The purpose of the master's thesis is to study approaches to human capital management and develop an algorithm for managing digital competencies of industrial employees. The paper studies theoretical approaches to the formation and management of human capital; the existing approaches to human capital management are analyzed and the level of digital competencies of industrial employees is studied by conducting a sociological survey; an algorithm for evaluating digital competencies of industrial employees is developed. Educational and research literature, results of the author's sociological survey, and statistical data were used as sources. In the master's thesis, an algorithm for managing digital competencies of industrial workers was developed, thanks to which it is possible to competently evaluate, train and interest industrial workers to develop and improve their digital competencies.
|Fecha de adjudicación||2020|
|Supervisor||Наталья Рэмовна Кельчевская (Supervisor)|