Paper Title

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

Article Identifiers

Registration ID: IJNRD_188290

Published ID: IJNRD2303078

DOI: Click Here to Get

Authors

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

Keywords

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

Abstract

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.

How To Cite

"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

Issue

Volume 8 Issue 3, March-2023

Pages : a761-a773

Other Publication Details

Paper Reg. ID: IJNRD_188290

Published Paper Id: IJNRD2303078

Downloads: 000121146

Research Area: Management

Country: Manila, N/A, Philippines

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

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

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area