This study aims to analyze the key trends in the global restaurant industry and the changes in consumer dining behavior, providing implications for effective global marketing strategies. In recent years, the foodservice industry has undergone structural transformations driven by factors such as health consciousness, sustainability, and digital transition, while the COVID-19 pandemic has accelerated the adoption of contactless services and digital platforms. Using big data sources including online reviews, news articles, and social media posts, this study applies text mining techniques to identify major themes and patterns. The results indicate that consumer values have shifted from price and quality to a focus on health, convenience, experience, and sustainability. Furthermore, differences in preferences and value orientations across countries and brands highlight the importance of balancing localization and standardization in global brand strategies. This research complements the limitations of traditional survey-based studies by providing empirical evidence of changes in industry trends and consumer perceptions through big data analysis. We expect to impact the field by offering strategic insights into how global restaurant businesses can achieve sustainable competitiveness in a rapidly evolving market.
목차
Abstract 1. Introduction 2. Literature Review 3. Research Design 3.1. Research Model and Procedure 3.2. Data Collection Methods 3.3. Data Analysis Tools and Techniques 4. Results & Discussion 4.1. Text Mining Analysis Results and In-depth Analysis 4.2. Country/Brand Comparison and Global Marketing Implications 5. Conclusion References
키워드
Global MarketingRestaurant IndustryBig DataConsumer Dining BehaviorText Mining
저자
Suk-Joon, Jung [ Professor, Department of Food Service Industry, Baekseok University, Korea ]
Corresponding Author