호텔종사원의 AI 기술 관련 자기주도학습 역량, 자기효능감, 직무성과에 관한 연구

Abstract

This study aims to analyze the impact of hotel employee’s self-directed learning capability related to AI technology on self-efficacy and job performance in the hotel industry. The survey participants targeted hotel employees at five-star hotels in Seoul. The survey was conducted from April 14, 2025 to May 13, 2025, using a Google Forms questionnaire, and a total of 251 responses were used for the final analysis. The analysis revealed the following findings: Hypothesis 1 confirmed that self-directed learning capability factor positively influences the self-efficacy, including motivation, self-monitoring and self-management. Hypothesis 2 demonstrated that the self-efficacy factor significantly impact on the job performance Hypothesis 3 found that the key elements of self-directed learning capability which were motivation, self-monitoring and self-management, enhance job performance. The practical implications of this study are as follows. First, hotel managers need integrated learning programs. Second, hotel managers should establish the practical application of AI technology as a key performance indicator (KPI) for individual hotel employees. Third, hotel managers should strive to foster an organizational culture that psychologically supports self-directed learning capabilities within the hotel organization. Fourth, hotel managers must establish channels to continuously share expertise on AI technology application cases across departments.