Advancing fashion marketing through rigorous academic research and data-driven insights
Journal of Fashion Marketing and Management (SSCI)
This study examines how AI-powered chatbot affordances influence consumer psychological empowerment in fashion retail contexts. Using structural equation modeling, we identify key chatbot features that enhance user competence, meaning, and impact perceptions.
International Journal of Retail & Distribution Management (SSCI)
An empirical investigation of how hyper-personalized product recommendations influence consumer decision-making processes in online fashion shopping environments. Mixed-methods approach combining PLS-SEM with qualitative interviews.
Journal of Business Research (SSCI)
Utilizing XGBoost and SHAP analysis to uncover factors driving social media engagement for fashion brands. Dataset includes 50,000+ Instagram posts analyzed through negative binomial regression and advanced ML techniques.
Fashion and Textiles (SSCI)
Comprehensive methodological framework for automated data collection and analysis from fashion e-commerce platforms. Includes practical applications using Python, sentiment analysis, and predictive modeling.
Investigating how conversational AI maintains context across multiple interactions to enhance customer experience and brand loyalty in fashion retail. Multi-phase study combining theoretical development with field experiments.
Developing and testing empathetic response frameworks for fashion AI chatbots. Focus on measuring emotional intelligence effectiveness and its impact on user satisfaction and purchase behavior.
Comparative study examining cultural differences in fashion consumption patterns, social media engagement, and technology acceptance across Korean and international markets.