This study seeks to explore how key restaurant attributes differently influence customer satisfaction and dissatisfaction across pre-pandemic and post-pandemic periods, as well as across various economic segments. By employing impact asymmetry analysis (IAA), the research identifies the primary drivers of customer satisfaction and dissatisfaction, examining their uneven on customer satisfaction in Korean restaurants. The findings underscore the non-linear and asymmetric nature of customer responses to various service attributes, highlighting the significant influence of economic factors and the pandemic on dining expectations and experiences. This research deepens our understanding of the factors shaping customer satisfaction dynamics, particularly in the context of the evolving post-pandemic restaurant industry.

This study examined consumer perceptions and market trends of Korean food products sold on Amazon, focusing on keyword and review analysis. As Korean cuisine gains global attention, particularly in the U.S., it is essential to understand how international consumers perceive these products. Data were collected from Amazon, encompassing product details and customer reviews of Korean food categories. Frequently mentioned keywords in the reviews were identified, and customer sentiments were explored using Python-based data analysis. The results suggest that taste, especially spiciness and sweetness, is a key determinant of consumer satisfaction. Although Korean food was generally well-received, packaging and delivery issues were common complaints. These findings provide strategic insights for Korean food manufacturers aiming to expand globally, emphasizing the need for tailored product development and enhanced logistics.