Current Volume 8
Chatbots vs. Human Recruiters: Perceived Effectiveness of AI in Candidate Screening and Engagement
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.
Citations
IRE Journals:
Mansi Agnihotri , Dr. Namita Gupta
"Chatbots vs. Human Recruiters: Perceived Effectiveness of AI in Candidate Screening and Engagement" Iconic Research And Engineering Journals Volume 8 Issue 12 2025 Page 469-472
IEEE:
Mansi Agnihotri , Dr. Namita Gupta
"Chatbots vs. Human Recruiters: Perceived Effectiveness of AI in Candidate Screening and Engagement" Iconic Research And Engineering Journals, 8(12)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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