Technical analysis of AI-driven solutions for aligning HR policies with employee satisfaction

Kamrun Nahar, Omar Faruq, Zahir Rayhan

Open source

DOI: 10.47813/2782-5280-2025-4-2-3038-3048
Published: 2025-05-26
Container: Информатика. Экономика. Управление - Informatics. Economics. Management
Publisher: Krasnoyarsk Science and Technology City Hall
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.47813/2782-5280-2025-4-2-3038-3048,
  title = {Technical analysis of AI-driven solutions for aligning HR policies with employee satisfaction},
  author = {Kamrun Nahar and Omar Faruq and Zahir Rayhan},
  year = {2025},
  journal = {Информатика. Экономика. Управление - Informatics. Economics. Management},
  doi = {10.47813/2782-5280-2025-4-2-3038-3048},
  url = {https://doi.org/10.47813/2782-5280-2025-4-2-3038-3048}
}

RIS

TY  - JOUR
TI  - Technical analysis of AI-driven solutions for aligning HR policies with employee satisfaction
AU  - Kamrun Nahar
AU  - Omar Faruq
AU  - Zahir Rayhan
PY  - 2025
JO  - Информатика. Экономика. Управление - Informatics. Economics. Management
DO  - 10.47813/2782-5280-2025-4-2-3038-3048
UR  - https://doi.org/10.47813/2782-5280-2025-4-2-3038-3048
ER  -

APA

Nahar, K., Faruq, O., & Rayhan, Z. (2025). Technical analysis of AI-driven solutions for aligning HR policies with employee satisfaction. Информатика. Экономика. Управление - Informatics. Economics. Management. https://doi.org/10.47813/2782-5280-2025-4-2-3038-3048

Source records

crossref · retrieved 2026-11-10T20:26:36.722Z