turanВестник университета «Туран»Bulletin of "Turan" University1562-29592959-1236Университет «Туран»10.46914/1562-2959-2025-1-3-403-416turan-4875Research ArticleТРИБУНА МОЛОДОГО ИССЛЕДОВАТЕЛЯPLATFORM OF YOUNG RESEARCHERОценка и развитие персонала в формировании эффективных проектных командPersonnel assesment and development in the formation of effective project teamshttps://orcid.org/0009-0006-2566-9466СатпаеваД. С.SatpayevaD. S.

докторант

г. Астана

PhD student

Astana

243129@astanait.edu.kzhttps://orcid.org/0000-0001-6150-6492ИльясовД. К.IlyassovD. K.

к.э.н., ассоциированный профессор

г. Астана

c.e.s. associate professor

Astana

didarilyassov@gmail.comhttps://orcid.org/0000-0003-1476-9542КумалаковБ. А.KumalakovB. A.

PhD, ассоциированный профессор

г. Астана

PhD, associate professor

Astana

bolatzhan.kumalakov@astanait.edu.kzАстана IT университетКазахстанAstana IT UniversityKazakhstan20250610202503403416Copyright © Сатпаева Д.С., Ильясов Д.К., Кумалаков Б.А., 20252025Сатпаева Д.С., Ильясов Д.К., Кумалаков Б.А.Satpayeva D.S., Ilyassov D.K., Kumalakov B.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.turan-edu.kz/jour/article/view/4875

Успешность формирования проектных команд подчеркивает важность компетенций человеческого капитала. Человеческий риск существует на всех этапах реализации проекта. Для решения этой проблемы оценка и развитие персонала имеют решающее значение при формировании проектных команд. Методология этого процесса включает три направления оценки: личностные, профессиональные, управленческие и межличностные компетенции. Данное исследование сосредоточено на построении карты компетенций, анализе пробелов и формировании индивидуальных траекторий развития проектных команд путем прогнозирования эффективности работы сотрудников. Автоматизированная и объективная оценка персонала позволяет быстро реагировать на любые проявления неэффективной работы сотрудников. С этой точки зрения данное исследование подчеркивает необходимость применения машинного обучения и искусственного интеллекта (ИИ) для оценки компетенций человеческого капитала. Это обеспечивает эффективное распределение человеческих ресурсов и поставленных задач членам проектной команды. Кроме того, в данном исследовании анализируются результаты отчета BCG (2020) о глобальных навыках, отражая основные проблемы проектных команд. В связи с этим в данной статье предлагается архитектор навыков будущего для членов проектной команды. Кроме того, построение карты компетенций, анализ пробелов и формирование индивидуальных траекторий развития помогают выбрать правильные инструменты оценки для среды управления проектами в Казахстане

The success of project team formations highlights the importance of human capital competencies. The human risk exists in all stages of project implementation. To solve this problem, personnel assessment and development are crucial in the formation of project teams. A methodology of this process includes three assessment directions for personal, professional, managerial, and interpersonal competencies. This study highlights the importance of competency map, gap analysis, and formation of individual development trajectories for project teams by and employee performance. The automated and objective personnel assessment enables a rapid response to any underperformance by employees. From this point of view, this study highlights the necessity of machine learning and artificial intelligence (AI) applications for assessing human capital competencies. It provides the efficient allocation of human resources and the assigned tasks of project team members. Furthermore, this study analyzes the results of the BCG (2020) report on global skills by reflecting the main challenges for project teams. Because of this analysis, this paper proposes the Future Skills Architect for project team members. Additionally, a competency map, gap analysis, and formation of individual development trajectories support to selection of the proper assessment tools for the project management environment in Kazakhstan.

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The authors declare that there are no conflicts of interest present.