A study of factors influencing employees’ acceptance of artificial intelligence technology in recruitment

Recruitment plays a vital role in enhancing organizational performance within the realm of Human Resource (HR) Management. Traditional recruitment approaches, which involve manual stages, are not only time-consuming but also inefficient. The emergence of AI, which proves its effectiveness in various sectors, is currently transforming recruitment by automating tasks to boost efficiency. Despite the growing demand for talent in Thailand, the utilization of AI in recruitment within the country is relatively limited.This independent study emphasizes on gaining insights from HR and recruitment experts in Thailand to understand their perspectives on integrating AI into recruitment processes. The study adapts the Unified Theory for Acceptance and Use of Technology (UTAUT) model to align with the specific requirements of Thai recruitment practices. It explores the factors influencing user’s intention to accept AI in recruitment. Survey questionnaire was developed based on existing literature and refined through interviews to ensure relevance within the Thai recruitment context. The survey involved 364 HR and recruitment experts in the Bangkok metropolitan area, achieving insightful responses.The findings reveal that a number of factors, including Perceived value, Perceived autonomy, Effort expectancy, and Facilitating conditions, significantly influence the intention to use AI in recruitment. While social influence and trust in AI technology do not directly impact intention, social influence impacts perceived value. Additionally, trust in AI technology positively affects effort expectancy.This study provides insights for HR and recruitment experts, corporates, and AI provider by deepening the understanding of AI adoption. It also contributes to enhancing recruitment processes and promoting the use of AI in this area.