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Chatbots vs. Human Recruiters: Perceived Effectiveness of AI in Candidate Screening and Engagement
Subject area: Management and Commerce · Area of research: Human Resource management
Abstract
This study investigates the perceived effectiveness of AI chatbots in recruitment across three industries: Consulting, Information Technology (IT), and Manufacturing. A quantitative approach was used, combining descriptive statistics, correlation analysis, and hypothesis testing based on responses from 60 professionals. Results indicate that while AI is generally trusted for efficiency, bias reduction, and candidate screening, significant inter-industry differences exist. IT professionals exhibit greater skepticism, likely due to deeper awareness of AI limitations, while Consulting and Manufacturing professionals report higher confidence in AI's utility. The study also reveals a strong preference across industries for a hybrid recruitment model that integrates both AI tools and human oversight. These findings offer practical insights for organizations seeking to balance technological efficiency with human judgment in modern hiring practices.
References
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[3] Koivunen, S., Ala-Luopa, S., Olsson, T., & Haapakorpi, A. (2022). The march of chatbots into recruitment: Recruiters’ experiences, expectations, and design opportunities. Computer Supported Cooperative Work (CSCW), 31, 487–516.
[4] Tuffaha, M., Pandya, B., & Perello-Marin, M. R. (2022). AI-powered chatbots in recruitment from Indian HR professionals' perspectives: Qualitative study. Journal of Contemporary Issues in Business and Government, 28(4).
[5] Nawaz, N., & Gomes, A. M. (2019). Artificial intelligence chatbots are new recruiters. International Journal of Advanced Computer Science and Applications, 10(9).
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How to cite this paper
@article{1709034,
author = {Mansi Agnihotri , Dr. Namita Gupta },
title = {Chatbots vs. Human Recruiters: Perceived Effectiveness of AI in Candidate Screening and Engagement},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {12},
pages = {469-472},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709034.pdf},
abstract = {This study investigates the perceived effectiveness of AI chatbots in recruitment across three industries: Consulting, Information Technology (IT), and Manufacturing. A quantitative approach was used, combining descriptive statistics, correlation analysis, and hypothesis testing based on responses from 60 professionals. Results indicate that while AI is generally trusted for efficiency, bias reduction, and candidate screening, significant inter-industry differences exist. IT professionals exhibit greater skepticism, likely due to deeper awareness of AI limitations, while Consulting and Manufacturing professionals report higher confidence in AI's utility. The study also reveals a strong preference across industries for a hybrid recruitment model that integrates both AI tools and human oversight. These findings offer practical insights for organizations seeking to balance technological efficiency with human judgment in modern hiring practices.},
month = {June},
}