DEVELOPMENT OF ARTIFICIAL INTELLIGENCE TECHNOLOGY ACCEPTANCE MODELS IN THE RECRUITMENT AND SELECTION PROCESS BY RECRUITERS

• Main Author: Berlian Yunita, Vinadya
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/80198
• Institution: Institut Teknologi Bandung

Human resources play a key role in achieving the success of a business organization. Therefore, it is crucial for organizations to have high-quality human resources, which are acquired through the recruitment and selection process. In the current era, recruitment and selection, like other aspects of business, heavily rely on speed and accuracy. In this regard, the implementation of artificial intelligence (AI) can provide efficiency in terms of time and cost savings. However, the acceptance level of recruiters toward artificial intelligence (AI) is not strong yet, as there are still doubts and concerns about this emerging technology. This research aims to develop the unified theory of acceptance and use of technology (UTAUT) model to identify the factors influencing the acceptance of artificial intelligence (AI) technology by recruiters. This research employs a quantitative approach, and data is collected using non- probability sampling with convenience sampling as the category. Data is gathered from 90 recruiters in the Jabodetabek and Bandung areas through a questionnaire containing 25 indicators used to measure seven research variables. The data is processed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the assistance of SmartPLS software. The research findings indicate that performance expectations and trust have a positive impact on the intention to use artificial intelligence (AI), with attitude serving as a mediator. Furthermore, attitude and social influence also positively influence the intention to use artificial intelligence (AI). Meanwhile, effort expectations and facilitating conditions do not have a positive influence on the intention to use artificial intelligence (AI) in the recruitment and selection process. The research findings suggest that the development of the unified theory of acceptance and use of technology (UTAUT) model can provide a more comprehensive model to explain the factors influencing the acceptance of artificial intelligence (AI) technology by recruiters. This research contributes conceptually and empirically to the emerging literature on the acceptance of artificial intelligence (AI) technology in the recruitment and selection process by recruiters. Furthermore, the practical implications of this research will involve education, communication, training, social support, and efforts to enhance the acceptance of artificial intelligence (AI) technology in the recruitment and selection process.