Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 7 Issue 3
May-June 2026

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The Relationship Among Perceived AI Effectiveness, Self-Efficacy, and Adaptability of Recruitment Professionals in Selected Cities in Metro Manila

Author(s) Luke Adrian Dmitri Adriano, Jed Christian Angeles Canlas, Ma. Isabella Nathalie Amoyo Papa, Raine Vladimir Villagracia, James Romulus Mumpar Buzon
Country Philippines
Abstract The advancement of Artificial Intelligence (AI) has provided substantial benefits and conveniences in the workplace especially in the Human Resource recruitment function where it has expedited and simplified the hiring process leading to questions on its perceptions and Perceived AI effectiveness. This study aimed to investigate the relationship between Perceived AI Effectiveness, Self-Efficacy, and Adaptability among recruitment professionals in selected cities in Metro Manila. A total of 68 valid recruitment professionals from various companies, recruitment agencies, and talent acquisition firms participated in this study. The data was collected through an online survey and utilized correlational analysis to determine the results. The result of this study shows that Self-Efficacy has a significant positive relationship on Adaptability and Perceived AI Effectiveness. It is also revealed that the Perceived AI Effectiveness provided a moderate positive relationship with adaptability. Findings of this study implies the potential positive connections of AI integration in the recruitment facet citing the need for further support among recruitment employees. Moreover, it also suggested conducting deeper studies to better determine the effects of AI in the workplace.
Keywords Adaptability, Artificial Intelligence, Job Demands-Resources, Perceived AI Effectiveness, Recruitment Professionals, Self-Efficacy, Social Cognitive Theory, Technology Acceptance Model
Field Business Administration
Published In Volume 7, Issue 3, May-June 2026
Published On 2026-05-04
DOI https://doi.org/10.63363/aijfr.2026.v07i03.5386
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