Assessment of AI-based systems in managerial practices of selected hotels and restaurants in Nueva Ecija, Philippines

This study assesses the use of AI-based systems in managerial practices of selected hotels and restaurants in Nueva Ecija, Philippines, through the lens of the Technology Acceptance Model (TAM). As AI-based systems such as property management systems (PMS) and point-of-sale (POS) systems become increasingly integrated into hospitality operations, understanding their effect on managerial roles is crucial for enhancing operational efficiency and sustaining competitive advantage. This study utilizes a quantitative descriptive approach; the research surveyed 193 managers using a modified TAM-based questionnaire to assess their perceptions of AI-based systems in terms of perceived usefulness, ease of use, and attitude toward adoption. Findings showed a high level of technology acceptance among participants, with significant agreement on AI's benefits for improving work quality, task efficiency, and productivity. Notably, the study identifies that age and frequency of AI use significantly influence perceptions of usefulness and ease of use, while attitude toward AI remains consistently positive across demographic variables. However, slight disparities in ease-of-use perceptions were noted between male and female participants. These insights underscore the necessity of tailored training programs and policy interventions that support inclusive AI adoption. The study contributes valuable regional data to the broader discourse on AI implementation in hospitality, providing evidence-based recommendations for stakeholders in tourism, education, and governance to optimize AI integration and managerial performance.