Transforming Leadership Recruitment: A Human-Centric Approach using Chatbots

Parul, Singh and Dr. G. P., Mishra (2024) Transforming Leadership Recruitment: A Human-Centric Approach using Chatbots. American Journal of Technology Advancement, 1 (7). pp. 65-74. ISSN 2997-9382

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Abstract

In the rapidly evolving landscape of talent acquisition, organizations face increasing challenges in identifying and selecting effective leadership candidates. Traditional hiring methods often prove inefficient, leading to prolonged recruitment cycles and suboptimal candidate experiences. This paper explores the integration of a human-centric chatbot, powered by Artificial Intelligence (AI) and Natural Language Processing (NLP), as a transformative solution for hiring leadership teams. We begin by examining the limitations of conventional hiring practices, particularly their inability to scale effectively and engage candidates in meaningful ways. We propose a novel methodology that employs advanced AI algorithms and NLP techniques to create a chatbot capable of conducting interactive and adaptive interviews. The chatbot is designed to evaluate critical leadership qualities through situational judgment tests and behavioural questions, ensuring a comprehensive assessment of candidates. Through a pilot implementation and case studies, we analyse the chatbot’s performance in real-world recruitment scenarios, focusing on metrics such as candidate engagement, satisfaction, and the quality of hires. Our findings indicate that the human-centric chatbot not only streamlines the hiring process but also enhances the candidate experience by providing timely feedback and personalized interactions.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	05 Dec 2024 05:03
Last Modified:	05 Dec 2024 05:03
URI:	http://eprints.umsida.ac.id/id/eprint/14755

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