PUBLISHED PAPERS #06.03
| Samir Babayev, Fuad Huseynli. Artificial Intelligence in E-Recruitment: A Reliability Study with McDonald’s Omega |
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| Abstract. In today’s dynamic global business landscape, organizations strive to attract top talent and sustain an advanced skill base through effective, scalable recruitment methods. Employers in Azerbaijan, faced with a substantial influx of job applications, encounter the challenge of labor-intensive, manual candidate selection to identify the most suitable hires. This study introduces a cutting-edge e-recruitment support system designed to evaluate applicants' professional experience, credentials, and alignment with specific job roles in governmental and corporate settings. The system is implemented with the Laravel framework, React Inertia for the interface, and PostgreSQL as the database, enabling streamlined, high-performance data handling. Using McDonald's Omega for reliability and validity testing in a quantitative survey, the system achieves a reliability score of 0.878. By systematically analyzing job requirements and matching them to candidates’ proficiencies, this system minimizes the need for human intervention in selection, optimizing the shortlisting process. |
| Keywords: AI, automation, Omega, employment, questionnaire |
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| DOI: https://doi.org/10.30546/MaCoSEP2025.1122 |