在地区人员短缺的情况下高校与雇主融合的新形式

人员短缺问题越来越严重。在一些地区，空缺职位的数量比求职者提交的简历数量高出 许多倍。因而必须在就业和雇佣领域开展系统性工作。在地区和行业层面对人员需求进行中长 期规划的必要性显而易见。迄今为止，俄罗斯只制定了预测劳动力市场对合格专家和工人需求 的统一方法。建立统一的预测方法将有助于减少未来劳动力市场的不平衡，更为合理地制定某 些专业的录取名额。在人员短缺的情况下与学生和年轻专家合作，鼓励企业寻找与大学互动的 新形式。本文介绍了作者对雇主与大学在就业领域现有合作形式的分类。其中包括三类：规范 形式（双硕士学位课程、定向培训等）、非规范形式（虚拟实习、参观、案例研究、项目分析 会议等）以及旨在促进就业的平台。作者披露了所介绍的每一组研究对象的特点，并给出了在 雇主中进行的关于就业主题的调查结果，同时研究了人工智能对劳动力市场的影响。

1. Carillo M.F. Human capital composition and long-run economic growth. Economic Modelling. 2024;137(4):106760. https://doi.org/10.1016/j.econmod.2024.106760

2. Xu Y., Li A. The relationship between innovative human capital and interprovincial economic growth based on panel data model and spatial econometrics. Journal of Computational and Applied Mathematics. 2020;365(5):112381. https:// doi.org/10.1016/j.cam.2019.112381

3. Garrido-Moreno A., Martín-Rojas R., García-Morales V.J. The key role of innovation and organizational resilience in improving business performance: A mixed-methods approach. International Journal of Information Management. 2024;77(1):102777. https://doi.org/10.1016/j.ijinfomgt.2024.102777

4. Zhang Y., Kumar S., Huang X., Yuan Y. Human capital quality and the regional economic growth: Evidence from China. Journal of Asian Economics. 2023;86(4):101593. https://doi.org/10.1016/j.asieco.2023.101593

5. Jie Y., Lan J. Dynamic linkages between human capital, natural resources, and economic growth – Impact on achieving sustainable development goals. Heliyon. 2024;10(14):e33536. https://doi.org/10.1016/j.heliyon.2024.e33536

6. Ahmed Z., Asghar M.M., Malik M.N., Nawaz K. Moving towards a sustainable environment: The dynamic linkage between natural resources, human capital, urbanization, economic growth, and ecological footprint in China. Resources Policy. 2020;67:101677. https://doi.org/10.1016/j.resourpol.2020.101677

7. Chitescu R.-I., Lixandru M. The influence of the social, political and economic impact on human resources, as a determinant factor of sustainable development. Procedia Economics and Finance. 2016;39:820–826. https://doi.org/10.1016/S2212-5671(16)30259-3

8. Piwowar-Sulej K., Blštáková J., Ližbetinová L., Zagorsek B. The impact of digitalization on employees’ future competencies: has human resource development a conditional role here? Journal of Organizational Change Management. 2024;37(8):36–52. https://doi.org/10.1108/JOCM-10-2023-0426

9. Харченко Е.В., Широкова Л.В. О дисбалансе системы профессионального образования и структуры текущей прогнозной кадровой потребности в регионах России. Нижегородское образование. 2023;(4):4–11.

10. Юрьева М.А., Харченко Е.В., Широкова Л.В., Окунькова Е.А. Гармонизация спроса и предложения на квалифицированные кадры в регионе. Регион: системы, экономика, управление. 2019;(2(45)):65–73.

11. Скрябин В.Н., Маликов А.А., Миляева И.В., Соколова Е.В., Христич Т.Ю. Влияние потребностей субъектов Российской Федерации в профессиональных кадрах на планирование подготовки кадров по программам СПО в вузах. Известия Тульского государственного университета. Гуманитарные науки. 2016;(3):107–113.

12. Берсенев М.Н. Виды производственной практики в условиях непрерывного образования. Научные исследования в образовании. 2007;(5):23–26.

13. Tseng H., Yi X., Yeh H.-T. Learning-related soft skills among online business students in higher education: Grade level and managerial role differences in selfregulation, motivation, and social skill. Computers in Human Behavior. 2019;95:179–186. https://doi.org/10.1016/j.chb.2018.11.035

14. Musa F., Mufti N., Latiff R.A., Amin M.M. Projectbased Learning (PjBL): Inculcating soft skills in 21st century workplace. Procedia – Social and Behavioral Sciences. 2012;59:565–573. https://doi.org/10.1016/j.sbspro.2012.09.315

15. Montobbio F., Staccioli J., Virgillito M.E., Vivarelli M. Robots and the origin of their labour-saving impact. Technological Forecasting and Social Change. 2022;174:121122. https://doi.org/10.1016/j.techfore.2021.121122

16. Ivanov S., Kuyumdzhiev M., Webster C. Automation fears: Drivers and solutions. Technology in Society. 2020;63:101431. https://doi.org/10.1016/j.techsoc.2020.101431

17. Aguinis H., Beltran J.R., Cope A. How to use generative AI as a human resource management assistant. Organizational Dynamics. 2024;53(1):101029. https://doi.org/10.1016/j.orgdyn.2024.101029

18. Nawaz N., Hemalatha A., Pathi B.K., Gajenderan V. The adoption of artificial intelligence in human resources management practices. International Journal of Information Management Data Insights. 2024;4(1):100208. https://doi.org/10.1016/j.jjimei.2023.100208

19. Ključnikov A., Popkova E.G., Sergi B.S. Global labour markets and workplaces in the age of intelligent machines. Journal of Innovation & Knowledge. 2023;8(4):100407. https://doi.org/10.1016/j.jik.2023.100407

20. Huang X., Yang F., Zheng J., Feng C., Zhang L. Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review. 2023;28(4):598–610. https://doi.org/10.1016/j.apmrv.2023.04.004