Jayeon Cho · Angellie Williady · Iksha Thebe Limbu · Hak-Seon Kim
In today’s digital era, millions of diners share their experiences online, creating vast datasets that reveal how consumers perceive global cuisines. This study applies big data text-mining techniques to compare perceptions of Michelin-starred Korean restaurants located in and outside the United States. Using 9,535…
India’s rich cultural heritage and remarkable architectural landmarks establish it as one of the leading destinations for heritage tourism, showcasing iconic sites such as the City Palace, Amber Fort in Jaipur, and Gwalior Fort. In the era of digital media, online tourist reviews have emerged as a crucial source of…
Natasya Maurren Tan · Angellie Williady · Aura Lydia Riswanto · Agus Riyadi
This study examines the influence of visual design elements on user attitudes and booking intentions within online travel agent (OTA) websites. Grounded in the Stimulus–Organism– Response (S-O-R) framework, it investigates how color (red and green text) and imagery (human-centric versus scenery-centric) as visual…
With the number of coffee shops in South Korea now exceeding 100,000 and mobile ordering continuing to expand, café applications have become vital platforms for engaging consumers. This study examines how variations in app design, one featuring a model alongside seasonal products and another displaying only the…
Sulav Shrivastav · Aura Lydia Riswanto · Hak-Seon Kim · Jue Wang · Armigon Akhmedov
This study investigates the relationship between optimism, proactive habits, and academic resilience and achievement among university students. Grounded in the positive psychology framework, it conceptualizes resilience as a mediating mechanism linking personal dispositions to academic performance outcomes. Data were…
This study investigates users’ perceptions and acceptance of AI-integrated radar health monitoring devices by applying an extended Technology Acceptance Model (TAM)–Protection Motivation Theory (PMT) framework. While previous research has largely relied on surveybased data, this study employs a quantitative content…
Nga Thi Hong Nguyen · Vivien Deannah Diaz Canunayon · Xiaobin Zhang
This study examines how AI-based recommendation system features influence online impulse buying behavior through the mediating role of fear of missing out (FOMO), based on the Stimulus-Organism-Response (S-O-R) framework. Using data from 365 online shoppers analyzed with PLS-SEM, four system attributes: accuracy,…
Forecasting domestic tourism expenditure supports budgeting, financial planning, and encourages responsible spending, fostering economic stability. The Consumer Price Index (CPI) is crucial for domestic tourism expenditure as it reflects inflation, guiding budget decisions and expenditure planning. However, there is…
This study examines how travelers perceive high-tech hotel features by analyzing online reviews. A mixed-method approach was employed, combining qualitative analysis using KH Coder for frequency and co-occurrence analysis with quantitative analysis using SPSS. The analysis identified four key dimensions of high-tech…
This study examines vegetarian and vegan food provision in Busan, South Korea, focusing on availability, nutritional adequacy, food quality, and satisfaction among international students. As Korean cuisine remains largely meat-based, international students following plant-based diets often struggle to find suitable,…
