Human Resources Management Trends

#5. Longstanding Generation
Human Resources Management Trends

The article examines the impact of digital on human resources management, and its strategic component on the basis of the positions of leading experts in recent years. The content characteristics of a new generation of employees are given that determine the context of such topical areas of HR activities as motivation, recruiting, leadership. Conclusions are made about a meaningful change in the HR management activities, author also reveals some problems and prospects for using Big Data in HR.

The Educational Potential of the Book of Memoirs and Reflections of Generations “We Remember…” in the Environment of Digital Economy

#4. Until the Thunder Breaks Out
The Educational Potential of the Book of Memoirs and Reflections of Generations “We Remember…” in the Environment of Digital Economy

In the article, the problem of the new individual as presented in research-based and philosophical-economic literature is analyzed as well its influence on the consciousness and the behavior in the digital age. Different point of view are represented on the problem of turning the individual into a cyborg in the environment of the digital economy which increases GDP but narrows the personal space and threatens the essence of the human being. In the article, the hope of creating the Russian scenario of the development of the future is expressed which is based on IT-technologies and traditional national values in the process of which the significant role is played by the system of raising the future generations. The book of memoirs and reflections “We Remember…” is an effective instrument of instilling spiritual, moral and patriotic values, development of creativity and the internal culture of the youth in the digital environment.

Traps for Artificial Intelligence

#6. Forecasts and Results
Traps for Artificial Intelligence

The course of artificial intelligence development in the XXI century in the context of formation of new technological modes and post-nonclassical management paradigm can be forecasted based on analysis of its many-sided and thorny historical retrospective. This way, of course, is not assured from unexpected traps. However, they can be avoided by finding new solutions in unfamiliar spaces for modeling, based on other approaches to solving complex problems and semantic interpretation of data by synthesizing for these innovations still unknown materials for computer memory and processors.