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Adoption Factors of AI Tools in the Recruitment Process Using UTAUT Model
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Author(s): Radhika Thapar (Rukmini Devi Institute of Advanced Studies, Guru Gobind Singh Indraprastha University, India), Sehej Bhatia (Rukmini Devi Institute of Advanced Studies, Guru Gobind Singh Indraprastha University, India)and A. V. Senthil Kumar (Hindusthan College of Arts and Science, India)
Copyright: 2026
Pages: 24
Source title:
AI in Education, Governance, and Leadership: Adoption, Impact, and Ethics
Source Author(s)/Editor(s): Bosede Iyiade Edwards (Universiti Sains Malaysia, Malaysia), Hassan Abuhassna (Sunway University, Malaysia), Damola Olugbade (University of South Africa, Pretoria, South Africa), Olayinka Anthony Ojo (University of Bolton, United Kingdom)and Wan Ahmad Jaafar Wan Yahaya (Universiti Sains Malaysia, Malaysia)
DOI: 10.4018/979-8-3373-5550-4.ch010
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Abstract
This study examines the adoption of Artificial Intelligence (AI) tools in talent acquisition and their impact on recruitment efficiency within the organizational context. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the research identifies key factors—Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Perceived Risk—that influence Behavioral Intent to adopt AI tools. Insights gained highlight the importance of perceived utility, ease of use, and organizational support in driving AI adoption, while addressing potential barriers such as perceived risks and social influence.
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