earticle

영어

This study empirically analyzed the effects of internship job satisfaction on career decision-making and turnover intention among culinary arts students at university, while also incorporating big data–based text analysis to explore the potential for convergence between social science and data science research. A survey was conducted with 500 culinary arts students across universitys nationwide, with respondents consisting of 87% male and 13% female students. The collected data were analyzed using IBM SPSS Statistics and AMOS through descriptive statistics, correlation analysis, regression analysis, and structural equation modeling (SEM), with mediation effects also tested. In addition, text mining and sentiment analysis were performed on internship review texts collected from online job portals and blogs to complement the quantitative findings with qualitative insights. The results revealed that internship job satisfaction had a positive effect on career decision-making and a negative effect on turnover intention, while also playing a significant mediating role in the relationship between career decision-making and turnover intention. The text analysis further confirmed that positive keywords such as “learning,” “growth,” and “professionalism” were closely associated with job satisfaction and career decision-making, whereas negative keywords such as “long working hours,” “low pay,” and “hierarchical culture” were strongly related to turnover intention. This study provides practical baseline data for career development and internship program improvement for culinary arts students at university, while also offering academic and practical contributions by presenting a novel methodological framework that integrates social science research with big data analysis.