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Corporate education in personnel training for engineering and civil engineering industries

Period of active global cybernation and business automation was marked by a problem for Russian employers in the form of a shortage of qualified personnel capable of ensuring the development and competitiveness in world business markets. There was a problem of forming a system for training new human resources that would satisfy the changing economic realities. The Russian Federation had a higher education system as one of the most stable and well-functioning mechanisms for training personnel for all economical sectors until the 90th of the last century, before the country collapse and the beginning of political and economic reforms. An indicator of the system effectiveness was that the graduates of Russian universities were invited to work by well-known corporations from many countries of the world. Over the years of the reforms, Russia has lost its previous model of education, which significantly affects the quality of personnel training today [1]. Many Russian enterprises are forced to follow the path of independent training and specialists retraining. At first, training was organized locally, it was by chance, but Russian entrepreneurs began to adopt foreign experience in forming a knowledge system in a company and even create corporate universities over the time. The study examines preconditions for the system formation and the corporate education market development, provides current models of knowledge accumulation and proposes the author's cognitive model of personnel professional development.
- Novosibirsk State University Novosibirsk State Universitys Research Portal Russian Federation
- Novosibirsk State Medical University Russian Federation
- Novosibirsk State Pedagogical University Russian Federation
- Novosibirsk State Technical University Russian Federation
- Novosibirsk State Agricultural University Russian Federation
Environmental sciences, GE1-350
Environmental sciences, GE1-350
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
