The Role of AI Integration in Talent Management and Employee Performance in the Hospitality Sector

Abstract

This study explores the integration of Artificial Intelligence (AI) in talent management and its impact on employee performance within the hospitality sector. AI is increasingly utilized in recruitment, employee development, and performance management, promising enhanced efficiency and reduced biases. The background of this study emphasizes the growing need for AI-driven solutions in managing human resources, particularly in regions facing talent shortages, such as South Punjab. The research adopts a positive paradigm and employs a survey technique, using structured questionnaires to collect data from 219 respondents. Convenience sampling was utilized due to the difficulty of covering the entire population. Data analysis was performed using SPSS 25 and AMOS. The results show strong positive correlations between AI acquisition, talent management, and employee performance, confirming that AI significantly enhances these areas. However, limitations include the regional focus of the study, the use of convenience sampling, and the cross-sectional design, which may limit the generalizability and long-term insights of the findings. Future research should expand to other regions and industries, explore longitudinal impacts, and consider the potential negative consequences of AI integration, such as job displacement and technostress. The study has practical implications for hospitality organizations, recommending that they invest in AI technologies while addressing ethical concerns and maintaining a balance between AI-driven efficiency and human-centered management practices.