AI Recruitment: Fairness, Efficiency, and Reliability and Its Effect on Employer Branding

Gwyneth Jie A. Alfon , Arianne Janelle C. Ching , Luisa Angelika F. Lim , Bea S. Paguia

Artificial Intelligence, AI Recruitment, Fairness, Efficiency, Reliability, Employer Branding, Recruitment, Human Resources, Philippines

Today, when technology is continuously changing, many companies are starting to leverage AI- enabled technologies within its recruitment processes. There is, however, little information on how job candidates perceive these technologies and how it influences their perception of a company. Hence, the purpose of this study was to determine if the fairness, efficiency, and reliability of AI- enabled recruitment affects a company’s employer branding and whether it is useful in hiring. The researchers then collected data from 303 respondents from a variety of industries who had used AI-enabled recruitment during their application process and Structural Equation Modeling (SEM) was used to analyze the survey results. According to this study's findings, the fairness and reliability of using AI-enabled recruitment positively impacts employer branding, with efficiency having a greater positive impact. Hence, despite the lack of a strong relationship between the variables, the study found that a company's recruitment process influences how applicants perceive them as potential employers.

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"AI Recruitment: Fairness, Efficiency, and Reliability and Its Effect on Employer Branding", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.a761-a773, March-2023, Available :https://ijnrd.org/papers/IJNRD2303078.pdf

Volume 8 Issue 3, March-2023

Pages : a761-a773

Paper Reg. ID: IJNRD_188290

Published Paper Id: IJNRD2303078

Downloads: 000118843

Research Area: Management

Country: Manila, N/A, Philippines

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303078

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303078

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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