AI'S ADOPTION IN RECRUITMENT ACROSS IT FIRMS IN CHENNAI DISTRICT: A DIGITAL TRANSFORMATION IN HIRING

Abstract

The study aimed to analyze the awareness of AI-based recruitment tools among HR professionals in Chennai's IT firms. It examined the relationship between performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention. The research was conducted among 132 respondents in the Special Economic Zones (SEZs) of Chennai district. The majority of respondents were male (72.9%) and mid-career professionals, with HR employees making up the largest group at 43.2%. The results suggest that while infrastructure and updates are well-maintained, gaps exist in effective communication and training, especially at non-managerial levels. The study also found that behavioural intention to use AI in recruitment is more strongly influenced by practical support and social context than perceived improvements in performance alone. The primary obstacles in AI-based recruitment are human resistance, system bias, and lack of training. Addressing these issues through organizational change management, ethical AI design, and training programs could significantly enhance the adoption and efficacy of AI in hiring processes.