Strategic Development of Human Potential in the Context of Second-Generation New Industrial Society and Noonomics: A Regional Approach
The shift to the Second-Generation Industrial Society (NIS-2) depends on digitalization and cognitive technologies. It imposes new requirements on companies, education, and regional policy. By developing human potential, regions are able to adapt to the ongoing technological challenges and enhance their competitiveness. The author explored the strategic directions of human potential development in Russia’s regions from the perspectives of NIS-2 and noonomics. The methodology relied on Professor V.L. Kvint’s concept of strategizing, a comparative analysis of international and Russian approaches, statistical analysis, structural content analysis of strategic documents, and elements of institutional analysis of digital inequality and employment transformation. The research revealed a growing shortage of digital and meta-competencies, a gap in employment structures, and limited access to education across regions. While stressing the strategic importance of soft skills and adaptability, the article illustrates the current levels of digital skills, shifts in the competence structure, and lifelong learning projects across regions. Regional workforce ecosystems need digital platforms, competency monitoring, and flexible learning formats. The new strategy for human potential development requires integration into the hierarchy of regional priorities and an effective alignment of local academic, social, and R&D agendas. The proposed approach strengthens regional resilience to external challenges and ensures long-term competitiveness in the knowledge economy.
Authors
- A.Y. Pochivalov
Institutions
- Lomonosov Moscow State University (RU)
- Moscow State University (TJ)
Publication Details
- Journal
- Strategizing Theory and Practice
- Published
- 2025-11-12
- DOI
- https://doi.org/10.21603/2782-2435-2025-5-4-577-588
- Primary Topic
- Regional Economic Development and Innovation
- Type
- article
- Field-Weighted Citation Impact
- 0.00