Dr. Feng Lin | Hospitality Management | Research Excellence Award
Guangzhou College of Commerce | China
Feng Lin is a lecturer in tourism and hospitality management whose work bridges consumer psychology, product design, and sustainable consumption in tourism and foodservice contexts. He holds a doctoral degree in hospitality and tourism management and has extensive teaching and research experience across China, Korea, and Thailand. His research focuses on tourism and hospitality marketing, museum consumption, cannabis-infused food and beverages, emotions, and protection motivation theory, with strong expertise in big data analysis and advanced quantitative methods such as PLS-SEM and multivariate data analysis. Feng Lin has published widely in leading international journals and has presented his research at major academic conferences. He has contributed to teaching at undergraduate and postgraduate levels in both English and Chinese, covering marketing, statistics, and research methodology. In addition to his academic roles, he actively serves as a peer reviewer for several high-impact international journals in tourism, hospitality, psychology, and social sciences.
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Featured Publications
From Design, Affective Museum Image, Gender, and Previous Experience to Behavioral Intention: A Three-Way Interaction Model
– International Journal of Tourism Research
How Product Design Affects Repurchase Intention, eWOM, and Museum Visit Intention: Museum Mystery Boxes in China
– Journal of Travel & Tourism Marketing
How Does Starbucks’ Merchandise Design in Their Online Shop Trigger Behavioral Intention?
– International Journal of Hospitality Management
An Integrated Model of Cannabis-Infused Food and Beverage Consumption in the USA Based on the Protection Motivation Theory and the Value–Attitude–Behavior Model
– International Journal of Hospitality Management
Effect of Product Design on Repurchase Intention, Electronic Word-of-Mouth, and Museum Visit Intention: Museum Random Boxes in China
– International Journal of Tourism Research