Conference Universitas Siliwangi
International Seminar and Conference on Management, Research, and Transformation (I-SMART)

The Influence of E-Recruitment on Intention to Apply in Management Students of the 2022 batch of Siliwangi University

Date Published : 23 August 2026

Contributors

Gianni Regina Gayatri

Siliwangi University
Author

Neta Agustina Mardikah

Siliwangi University
Corresponding Author

Arya Putra Kurnia Ritno

Siliwangi University
Author

Keywords

Artificial Intelligence E-Recruitment Intention to Apply

Proceeding

Vol. 1 (2025): International Seminar and Conference on Management, Research, and Transformation (I-SMART 1.0)

Track

General Track

License

Copyright (c) 2026 International Seminar and Conference on Management, Research, and Transformation (I-SMART)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The purpose of this study is to find out and analyze the Influence of E-Recruitment on Intention to Apply in Management Students of the 2022 batch of Siliwangi University with a case study on the negative impact of the use of Artificial Intelligence in the E-Rectruitment process. The research method used in this study is a quantitative method by distributing questionnaires to eighty respondents taken from students majoring in management class of 2022 at Siliwangi University regarding the Influence of E-Recruitment on Intention to Apply. The sample was drawn using simple random sampling and the analysis methods used in this study were descriptive analysis, instrument validity test, instrument reliability test, classical assumption test, simple linear regression analysis, and hypothesis test. The results of this study show that students have ignorance about the Artificial intelligence assessment work system in carrying out the E-Recruitment process, so that students feel worried and afraid because of the unclearness. However, because work is a category of needs, students put aside their worries and distrust of Artificial Intelligence to meet their needs, so that the negative impact of the use of Artificial Intelligence in the E-Recruitment process does not have a significant influence and the intention to apply for a job remains high. This research is useful as evaluation material for companies that want to integrate Artificial Intelligence in the E-Recruitment process to be more optimal in order to eliminate the anxiety of job applicants and increase trust in the E-Recruitment process by the company.

References

Albaroudi, E., Mansouri, T., & Alameer, A. (2024). A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring. AI (Switzerland), 5(1), 383–404. https://doi.org/10.3390/ai5010019
Ajzen, I. (2024). The theory of planned behavior. Organizational Behavior and Human Decision Processes. 2(50), 179–211.
Aydin, O., & Turan, A. (2023). Predictive analytics in talent acquisition: Enhancing recruitment accuracy with AI. Journal of Human Resource Management, 42(2), 112–128.
Horodyski, P. (2023). Recruiter's perception of artificial intelligence (AI)-based tools in recruitment. Computers in Human Behavior Reports, 10(January), 100298. https://doi.org/10.1016/j.chbr.2023.100298
Hunkenschroer, A. L., & Luetge, C. (2022). Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda. In Journal of Business Ethics (Vol. 178, Issue 4). Springer Netherlands. https://doi.org/10.1007/s10551-022-05049-6
MINISTRY of Agriculture. (2024). Unemployment Data and Job Vacancy Quotas. MINISTRY OF MANPOWER.
Marszałek-Kotzur, I. (2022). Cognitive Technologies – Are We in Danger of Humanizing Machines and Dehumanizing Humans? Management Systems in Production Engineering, 30(3), 269–275. https://doi.org/10.2478/mspe-2022-0034
Silva, A. J., & Dias, H. (2025). The relationship between employer branding , corporate reputation and intention to apply to a job or ff er branding. 31(8), 1–16. https://doi.org/10.1108/IJOA-01-2022-3129
Suryanarayana. (2020). A framework for examining the effect of recruitment information sources on organizational attraction and intention to apply: Mediating role of person-organization fit. Review of Integrative Business and Economics Research, 10(2), 1–31.
Sýkorová, Z., Hague, D., Dvouletý, O., & Procházka, D. A. (2024). Incorporating artificial intelligence (AI) into recruitment processes: ethical considerations.
Tian, X., Pavur, R., Han, H., & Zhang, L. (2022). A machine learningbased human resources recruitment system for business process management: using LSA, BERT and SVM. Business Process 258. Human Resource Theory and Implementation Journal of Management, 29(1), 202–222.

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How to Cite

Gayatri, G. R., & Kurnia Ritno, A. P. . (2026). The Influence of E-Recruitment on Intention to Apply in Management Students of the 2022 batch of Siliwangi University (N. . Agustina Mardikah, Trans.). International Seminar and Conference on Management, Research, and Transformation (I-SMART), 1, 303-310. https://conference.unsil.ac.id/ismart/paper/view/113