№ 67-3 (том 2): ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, Октябрь, 2025
Научно-образовательные статьи

SMART TALENT MANAGEMENT

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  • Gurbannazarova Gurbangul
Gurbannazarova Gurbangul
Oguz han Engineering and technology university of Turkmenistan

Опубликован 02.11.2025

Как цитировать

G. Gurbannazarova. (2025). SMART TALENT MANAGEMENT. ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, 67-3 (том 2). https://mpcareer-google.ru/index.php/journal/article/view/3688

Аннотация

This review paper explores the evolution and contemporary dynamics of Smart Talent Management (STM) in the context of digital transformation, artificial intelligence (AI), and globalized business environments. STM refers to the application of intelligent technologies and data-driven strategies in managing, developing, and retaining organizational talent. The paper synthesizes findings from current literature on AI-driven human resource management, organizational innovation climates, and digital talent ecosystems. It examines how smart technologies—such as predictive analytics, automation, and AI-based decision systems—enhance recruitment, performance evaluation, training, and retention. By analyzing empirical and conceptual contributions from recent research, this review identifies critical success factors, implementation challenges, and future research directions. Ultimately, it highlights STM as a strategic enabler of sustainable competitive advantage and adaptive organizational capabilities in the era of digitized work.

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Библиографические ссылки

  1. Al-Shboul, M. A. (2024). SMEs’ maneuvering: Efficacy of smart talent management, adoption innovation climate and motivational culture as enablers for improved SMEs’ performance – An empirical study in the Middle East region. International Journal of Innovation Science, ahead-of-print.
  2. Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management and Organization, 24(2), 239–257.
  3. George, S., Patel, J., & Rehman, M. (2024). AI-powered strategies for talent management optimization. Journal of Innovative Education and Research, 12(4), 215-234.
  4. Mikic, M., Trcek, D., & Kusar, J. (2022). Integrating artificial intelligence into a talent management model to enhance employee engagement. Sustainability, 14(23), 15978.
  5. Yuliana, R., & Senen, S. H. (2023). A systematic literature review of organizational performance through talent management strategies. West Science Journal of Economic and Entrepreneurship, 1(12), 704–714.