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Utilization of Artificial Intelligence in Human Resource Management Recruitment: Its Opportunities and Challenges

Marites L. Vedija Erly M. Martir, Ph.D., DM

Subject area: Science,Engineering and Technology  ·  Area of research: Education

DOI: https://doi.org/10.64388/IREV9I11-1718388

Abstract

This study assessed the utilization of Artificial Intelligence (AI), opportunities, and challenges in Human Resource Management (HRM) recruitment among Higher Education Institutions (HEIs) in the Province of Antique, Philippines, during Academic Year 2025–2026. The 74 respondents were HR personnel composed of staff, specialists, and managers/directors from public and private HEIs, selected through purposive-convenient sampling. A validated and reliability-tested researcher-made questionnaire, and data were analyzed using frequency count, percentage, mean, Mann-Whitney U test, Kruskal-Wallis H test, and Spearman’s rho at the 0.05 level of significance. Findings revealed that respondents were predominantly bachelor’s degree holders, serving mainly as HR staff, engaged under job-order employment, and primarily affiliated with public HEIs. The extent of AI utilization was rated “To a Moderate Extent,” particularly in matching candidate qualifications with job requirements, resume screening, and maintaining talent pool databases. Opportunities were “Slightly Favorable,” with emphasis on improving recruitment speed, reducing time to hire, assisting in onboarding, and widening candidate pools. Challenges were “Mostly Encountered,” notably data privacy concerns, ethical issues, high costs, and limited technical knowledge. No significant differences were observed in AI utilization, opportunities, and challenges when classified by educational attainment, position, employment status, years in service, and type of HEI. However, correlation analysis revealed significant relationships between AI utilization and opportunities, and between opportunities and challenges, while utilization and challenges showed no significant relationship. The study highlighted that AI adoption in HRM recruitment offered slightly favorable opportunities but persistent challenges, pointing to the need for stronger technical capacity, ethical safeguards, and organizational readiness

Keywords

Utilization, Opportunities, Challenges, Artificial Intelligence, Human Resource Management Recruitment

References

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How to cite this paper

Marites L. Vedija, Erly M. Martir, Ph.D., DM "Utilization of Artificial Intelligence in Human Resource Management Recruitment: Its Opportunities and Challenges" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 4042-4062 https://doi.org/10.64388/IREV9I11-1718388
Marites L. Vedija, Erly M. Martir, Ph.D., DM "Utilization of Artificial Intelligence in Human Resource Management Recruitment: Its Opportunities and Challenges" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026, doi: https://doi.org/10.64388/IREV9I11-1718388
Marites L. Vedija, Erly M. Martir, Ph.D., DM (2026). Utilization of Artificial Intelligence in Human Resource Management Recruitment: Its Opportunities and Challenges. Iconic Research And Engineering Journals, 9(11). doi: https://doi.org/10.64388/IREV9I11-1718388
Marites L. Vedija, Erly M. Martir, Ph.D., DM "Utilization of Artificial Intelligence in Human Resource Management Recruitment: Its Opportunities and Challenges" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026. Crossref, https://doi.org/10.64388/IREV9I11-1718388
@article{1718388,
      author = {Marites L. Vedija, Erly M. Martir, Ph.D., DM},
      title = {Utilization of Artificial Intelligence in Human Resource Management Recruitment: Its Opportunities and Challenges},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {4042-4062},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718388.pdf},
      abstract = {This study assessed the utilization of Artificial Intelligence (AI), opportunities, and challenges in Human Resource Management (HRM) recruitment among Higher Education Institutions (HEIs) in the Province of Antique, Philippines, during Academic Year 2025–2026. The 74 respondents were HR personnel composed of staff, specialists, and managers/directors from public and private HEIs, selected through purposive-convenient sampling. A validated and reliability-tested researcher-made questionnaire, and data were analyzed using frequency count, percentage, mean, Mann-Whitney U test, Kruskal-Wallis H test, and Spearman’s rho at the 0.05 level of significance. Findings revealed that respondents were predominantly bachelor’s degree holders, serving mainly as HR staff, engaged under job-order employment, and primarily affiliated with public HEIs. The extent of AI utilization was rated “To a Moderate Extent,” particularly in matching candidate qualifications with job requirements, resume screening, and maintaining talent pool databases. Opportunities were “Slightly Favorable,” with emphasis on improving recruitment speed, reducing time to hire, assisting in onboarding, and widening candidate pools. Challenges were “Mostly Encountered,” notably data privacy concerns, ethical issues, high costs, and limited technical knowledge. No significant differences were observed in AI utilization, opportunities, and challenges when classified by educational attainment, position, employment status, years in service, and type of HEI. However, correlation analysis revealed significant relationships between AI utilization and opportunities, and between opportunities and challenges, while utilization and challenges showed no significant relationship. The study highlighted that AI adoption in HRM recruitment offered slightly favorable opportunities but persistent challenges, pointing to the need for stronger technical capacity, ethical safeguards, and organizational readiness},
      keywords = {Utilization, Opportunities, Challenges, Artificial Intelligence, Human Resource Management Recruitment},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1718388}
  }