A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand
Модель на основе UTAUT для анализа намерения пользователей внедрять искусственный интеллект в подбор персонала: тематическое исследование Таиланда
2024-01-15
SCID: 54.1/v7u9s28m
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Abstract (AI)
Recruitment is a fundamental aspect of Human Resource Management to drive organizational performance. Traditional recruitment processes, with manual stages, are time-consuming and inefficient. Artificial Intelligence (AI), which demonstrates its potential in various sectors such as healthcare, education, and notable cases of ChatGPT, is currently reshaping recruitment by automating tasks to improve efficiency. However, in Thailand, where there is a growing demand for talents, the application of AI in recruitment remains relatively limited. This study focuses on human resources (HR) and recruitment professionals in Thailand, aiming to understand their perspectives on the integration of AI in recruitment. It utilized the Unified Theory for Acceptance and Use of Technology (UTAUT) model, customized to suit the specific requirements of Thailand recruitment practices. The study explores the factors influencing users’ intention to adopt AI in recruitment. Survey questionnaire items were created based on prior literature and refined with insights from HR and recruitment experts to ensure applicability in the context of recruitment in Thailand. A survey involving 364 HR and recruiting professionals in the Bangkok metropolitan area supplied comprehensive responses. The study reveals that several factors, including perceived value, perceived autonomy, effort expectancy, and facilitating conditions, significantly impact the intention to adopt AI for recruitment. While social influence and trust in AI technology do not have a direct influence on intention, social influence directly affects perceived value. Trust in AI technology positively influences Effort Expectancy. This study provides valuable benefits for HR and recruitment professionals, organizations, and AI developers by offering insights into AI adoption and sustainability, enhancing recruitment processes and promoting the effective use of AI tools in this sector.
Key Findings
1
Social influence and trust in AI do not directly affect adoption intention, although social influence positively affects perceived value.
2
Survey responses from 364 professionals in Bangkok show that perceived value, perceived autonomy, effort expectancy, and facilitating conditions significantly influence AI adoption intention.
3
The findings provide guidance for organizations and AI developers seeking sustainable and effective AI integration into recruitment in Thailand.
4
The study adapts the UTAUT model to analyze Thai HR and recruitment professionals’ intention to adopt AI in recruitment.
5
Trust in AI positively influences effort expectancy, indicating that trust may facilitate perceptions of AI’s ease of use.
Research Object
Artificial intelligence integration in human resource recruitment practices in Thailand
Research Subject
Factors influencing HR and recruitment professionals’ intention to adopt AI for recruitment, including perceived value, perceived autonomy, effort expectancy, facilitating conditions, social influence, and trust
Publication Details
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2024-01-15
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