The study is devoted to the actual problem of using new resources for human capital growth, particularly the implementation of Lean. The study aims to identify the dependence of the implementation results at Russian enterprises on the level of human capital development and other factors. The subject of the study is the dependence of the results of Lean implementation on the main groups of aggregated indicators characterising the production system. The primary research methods used written surveys of experts and regression analysis of survey results. The dependence of the results of the implementation of lean production (R) on the aggregated indicators of human capital (H), corporate culture (C) and the Lean implementation process (P) is investigated. The dependences of the results of lean production on the corresponding optimal predictors have relatively high coefficients of determination: R 2 (H) = 0.69; R 2 (C) = 0.78 and R 2 (P) = 0.80 for regression models in the form of 4th-degree polynomials. The indicators that have the most significant impact on the results of Lean implementation have been identified. For the predictor of human capital, this is staff educational level (weight -0.29), staff willingness to study (0.25), the satisfaction of age characteristics (0.24) and discipline (0.22); for the predictor of corporate culture -the culture of cooperation (0.35), the culture of appearance (0.24), work according to the rules (0.24); for the Lean implementation processconsolidation of the changes made (0.83). For the generalised optimal predictor, the dominant factors are the consolidation of the changes made (0.79), the speed of changes implementation (0.11) and the willingness of staff to learn (0.10). All surveyed organisations are divided into three clusters according to the dependence of Lean implementation results on the generalised aggregated predictor. The share of companies that have most successfully implemented Lean is 26%, the average rating of their success on a five-point scale is 3.8. The study results can be used in developing lean production implementation programs at enterprises and in strategic planning to increase the efficiency of human capital.

The aim of the research is to assess the quantitative impact of education on the emergence of externalities and economic development. It has been shown that the increase in the education of specialists in interaction with innovative activity contributes to the emergence of external effects, which have a high level of significance for economic dynamics. As a result, the total contribution to GDP, as a result of an additional year of study for a specialist with a higher education, increases by about 50%. Realizing this effect, the largest economies of the world (the USA, the European Union, China and Japan) have been increasing the share of specialists with tertiary (vocational) education approximately linearly at a rate of 0,8 ±0,2% per year over the past 25 years. For Russia, the positive effect of a high level of tertiary education is significantly reduced due to the problems of interaction with the economic environment. The income that innovators themselves receive is, in a significant proportion of cases, relatively small. In particular, for the «Open Distance Education» innovation, the innovator's income was about 0,3% of the income of other recipients of benefits from the innovation. A significantly large share of the income from innovation is realized as an external effect of other users of the innovation, especially the consumers of the manufactured products and followers. Quantitative estimates of the external contribution to GDP of the innovation «Open Distance Education» show that they amount to about 14 thousand dollars per graduate, and only 340 million dollars a year. The findings can be used to assess the impact of education and develop strategies for staff training and innovation development.

A survey method was used to investigate the genetic relationships between innovative products and professions of the future potential technological revolution of the cyber-physical, biomedical, and related spheres. It is shown, that products of biomedical orientation lead in the field of high estimates, with 8 products having a C2-5 score of 4.13-4.08, which is higher than the leading product in cyberphysical area (compact supercomputers – 4.02). In the area of lower scores, the difference in scores between the two areas increases. The leaders among the products of the biomedical field are: successful treatment of heart attack and stroke, vision restoration, successful treatment of 95% of cancer patients, prevention of genetic diseases, treatment of drug and alcohol addiction, hearing restoration, human organ regeneration, and physical organ rehabilitation (C2-5=4.13 to 4.05). Comparison of the specialties from the “Atlas of New Professions” of cyberphysical and biomedical orientation with the corresponding innovative products indicated the presence of genetic links between them. The key requirement for the development of professional skills of human capital in conditions of technological revolutions is the orientation on the professions required for the most demanded innovative products, primarily medical and biological, cyber-physical and cyber-medical specializations. The results obtained can be used for investment forecasts, as well as for long-term planning of professional training of specialists in the period of the emerging technological revolution.

No abstract