Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Business and Social Science Research
Tan, Charles Emmanuel
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
AI Integration in Screening and Selection: The Impact of Perception of Fairness, Trust, and Usability in the Acceptability of HR Employees in Metro Manila Marco, Frances Jezreel; Agngarayngay, Caryle; Tan, Charles Emmanuel; Latifi, Sasan Iman; Villamor-Evangelista, Mary Grace
International Journal of Business and Social Science Research Vol. 7 No. 3 (2026): Vol. 7 No. 3 (2026): March (IJBSSR)
Publisher : The Institute of Academic Research and Publication (IARP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47742/ijbssr.v7n3p2

Abstract

The study examined how perceptions of fairness, trust, and usability predicted the acceptance of artificial intelligence integration in the screening and selection process. Researchers administered a cross‑sectional survey to 140 human resource professionals in Metro Manila who possessed experience using artificial intelligence in screening and selection. Multiple linear regression and partial least squares structural equation modeling were employed to develop the emerging structural model and obtain standardized coefficients. Findings revealed that usability significantly predicted acceptability, while trust predicted it to a slightly weaker extent. Fairness did not retain significance when it was entered alongside the other predictors. These findings suggested that human resource employees prioritized user-friendly and trustworthy artificial intelligence, which is critical for successful integration. The results highlighted the need for transparency, training, and support within the human resources department to better prepare staff for fostering ethical and effective integration of artificial intelligence in the workplace.
Co-Authors Agngarayngay, Caryle Latifi, Sasan Iman Marco, Frances Jezreel Villamor-Evangelista, Mary Grace