인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
This study examines the effect of major satisfaction on intention to stay in the foodservice industry among college students majoring in foodservice and verifies the moderating effect of grit in this relationship. The foodservice industry has faced increasing uncertainty due to changes in consumption patterns, delivery and platform-based services, rising labor costs, and labor shortages. Understanding what shapes students’ intention to remain in the industry before entering the labor market is important for securing human resources. Data were collected through Google Forms from September 19 to 29, 2025. After excluding four insincere responses, 311 valid responses from college students majoring in culinary arts, confectionery, and baking were used for the final analysis. Using SPSS 26, frequency analysis, exploratory factor analysis, reliability analysis, descriptive statistics, and correlation analysis were conducted. Hypotheses were tested using moderation analysis with PROCESS macro v5.0 (Model 1). The results showed that major satisfaction had a significant positive effect on intention to stay in the foodservice industry. Grit also had a significant positive effect on intention to stay. In addition, the interaction between major satisfaction and grit was significant, confirming a buffering moderating effect. Specifically, students with higher levels of grit maintained a relatively stable intention to stay even when their major satisfaction was low. These findings suggest that universities and industry partners should strengthen educational experiences that enhance major satisfaction and implement programs that develop psychological competencies such as goal setting, self-regulation, and resilience. However, this study is limited by its cross-sectional design, convenience sampling, and reliance on self-reported data.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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