Chrome extensions for Google Maps, Google Play, App Store, Skytrax, and Yelp.
The Wellness Tourism Big Data Research Center was founded in March 2017 at Kyungsung University in Busan. Our mission is to cultivate specialized analytical expertise through training in big-data programs and modern research methods, and to translate that expertise into forward-looking insight on the wellness, tourism, and hospitality industries: market conditions, demand forecasting, and marketing strategy.
The Center sustains three core activities: original academic research on wellness and tourism big data; curation of research datasets and scholarly programs; and contracted research, analytics, and education for institutional and industry partners. The Chrome extensions made available here emerged directly from this research program, and we ask that any publication using collected data cite the project.
A peer-reviewed academic journal published twice a year (June and December) since June 2024, exploring business, management, and economic practices within Asia and its global linkages. ABSI welcomes original research across international business, tourism, hospitality, marketing, finance, entrepreneurship, leadership, and sustainability. All submissions undergo double-blind peer review under COPE guidelines.
A multidisciplinary group spanning hospitality management, tourism, data analytics, and applied research methodology, working across institutions in Korea and the United States.
Professor / School of Hospitality and Tourism Management, Kyungsung University
Hospitality Service Management / Consumer Behavior / Tourism Big Data
Founding director of the research center. Currently serves as Professor at the School of Hospitality and Tourism Management, Kyungsung University, and Visiting Scholar at the Department of Nutrition & Hospitality Management, University of Mississippi.
Assistant Professor / Chairperson, School of Global Studies, Kyungsung University
Service Management / Consumer Behavior / Hospitality & Tourism Management
Assistant Professor (Ph.D., University of Ulsan); Head Professor of Digital Marketing (Graduate) & Global Business Administration (Undergraduate), Kyungsung University
HRM / Organizational Behavior / Leadership / International Business
Assistant Professor, Kyungsung University
Data Analytics for Hospitality / Big Data Analysis in Hospitality / Hospitality Management Research
Assistant Professor, Kyungsung University
Data Analytics for Hospitality / Research Methodology in Hospitality
Assistant Professor, Kyungsung University
Current Trends in Hospitality / Big Data Analysis in Hospitality
Assistant Professor, Kyungsung University
Heritage Tourism / Destination Image / Consumer Behavior
Visiting Professor (Ph.D., University of Mississippi)
Smart Foodservice Operation / Tourism Event Planning
Associate Professor & Director of Master's & Ph.D. Programs, Department of Nutrition & Hospitality Management, University of Mississippi
Hospitality Marketing / Consumer Behavior / Foodservice Management
Associate Professor & Interim Department Chair, Department of Nutrition & Hospitality Management, University of Mississippi
Consumer Technology Adoption / Consumer Behavior / Hospitality Education
Assistant Professor & Chair, Department of Global Hospitality Management, Dong-eui University
Online Review Analysis / Digital Service Quality / Consumer Behavior
Assistant Professor, Department of Hospitality and Retail Management, Texas Tech University
Consumer Behavior / Hospitality Technology / Hospitality Sustainability
Graduate student listings are being reviewed and updated. Please check back soon.
Each extension installs in Chrome and runs locally on the researcher's machine. Output is structured (.xlsx / .csv / .json) and ready for downstream analysis in R, SPSS, or any text-mining pipeline. Coverage includes Google Maps, Google Play, Apple App Store, Skytrax (airline reviews), and Yelp (business reviews) - five domains for hospitality, tourism, and consumer-experience research.
Capture user reviews for any place listed on Google Maps. Designed for tourism, hospitality, and place-based research where review text is the primary unit of analysis.
Extract user reviews from any application on the Google Play Store. Useful for digital wellness, mHealth, and consumer-app research where longitudinal user feedback matters.
Collect reviews from the Apple App Store via Apple's official public RSS feed no scraping. Cross-country comparison across 30+ regional stores for cross-cultural research.
Collect airline customer reviews from Skytrax (airlinequality.com) with detailed category ratings, route information, and traveller type. Built for air travel, tourism, and service-quality research.
Collect customer reviews from any business on Yelp. Designed for hospitality, retail, and food-service research. Robust against Yelp's dynamic class names with structural selectors.
A curated set of peer-reviewed studies from the lab in which user-generated reviews drawn from Google Maps, TripAdvisor, OTAs, and similar sources serve as the primary empirical material. These works illustrate the analytical pipelines the present tools are designed to support.
Riswanto, A. L., & Kim, H.-S. (2026). Visual attention and user satisfaction in OTA platforms: An eye-tracking and big data approach. Journal of Hospitality and Tourism Technology, Online published.
Find on Google ScholarSherpa, S., Nguyen, T. P. P., Riswanto, A. L., Kim, S., & Kim, H.-S. (2026). The gastronomic identity shift: Applying the modified health belief model and behavioral intention among international students' food adaptation in South Korea. International Journal of Tourism Research, 28(2).
doi.org/10.1002/jtr.70238Cho, H., Riswanto, A. L., Lee, G., & Kim, H.-S. (2026). Perceived value fit and customer citizenship behavior in food delivery apps' pro-environmental initiatives: An extended theory of pro-environmental planned behavior approach. International Journal of Tourism Research, 28(1), e70203.
doi.org/10.1002/jtr.70203Zhang, X., Zhong, Y., Ekaputra, R. A., & Kim, H.-S. (2026). Leveraging big data and spatial analysis for customer-centric evaluation of Chinese tourism performing arts. Journal of Hospitality and Tourism Technology, ahead-of-print.
doi.org/10.1108/JHTT-05-2025-0352Kim, S., Riswanto, A. L., Sherpa, S., & Kim, H.-S. (2025). Generation Z's Michelin choices: Survey and big data insights into Thailand's Michelin-starred restaurants. International Journal of Tourism Research, 27(5), e70135.
View on WileyKim, S., Riswanto, A. L., Williady, A., Ekaputra, R. A., & Kim, H.-S. (2025). A geospatial and big data exploration of tourism destinations: A case study of Busan, Republic of Korea. Electronic Markets, 35(1), 46.
doi.org/10.1007/s12525-025-00791-xLee, H. S. K., Wang, J., Moreno-Brito, Y. L., Shen, Y., & Kim, H.-S. (2025). Linguistic insights into customer satisfaction: An exploratory analysis of online reviews for gaming destination resorts in Las Vegas. Journal of Hospitality and Tourism Technology, 16(1), 730.
doi.org/10.1108/JHTT-05-2023-0147Wang, J., & Kim, H.-S. (2025). Exploring corporate reputation factors through cluster and sentiment analysis of CEO letters. International Journal of Information Technology & Decision Making, 24(2), 41942.
doi.org/10.1142/S0219622025500051Riswanto, A. L., Ha, Y., Kim, S., & Kim, H.-S. (2025). Visual attention to food content on social media: An eye-tracking study among young adults. Journal of Eye Movement Research, 18(6), 69.
doi.org/10.3390/jemr18060069Zhang, X., Yu, J., & Kim, H.-S. (2024). Exploring customers' experience and satisfaction with theme hotels: A cross-cultural analysis of hotel reviews. SAGE Open, 14(2), 16.
doi.org/10.1177/21582440241255827Hong, C., Choi, E. K., Joung, H. W., & Kim, H.-S. (2023). The impact of customer perceived value on customer satisfaction and loyalty toward the food delivery robot service. Journal of Hospitality and Tourism Technology, 14(5), 90824.
doi.org/10.1108/JHTT-11-2022-0305Riswanto, A. L., Kim, S., & Kim, H.-S. (2023). Analyzing online reviews to uncover customer satisfaction factors in Indian cultural tourism destinations. Behavioral Sciences, 13(11), 923.
doi.org/10.3390/bs13110923Riswanto, A. L., & Kim, H.-S. (2023). An investigation of the key attributes of Korean wellness tourism customers based on online reviews. Sustainability, 15(8), 6702.
doi.org/10.3390/su15086702Wang, J., & Kim, H.-S. (2023). Visualizing the landscape of home IoT research: A bibliometric analysis using VOSviewer. Sensors, 23(6), 3086.
doi.org/10.3390/s23063086Tao, S., & Kim, H.-S. (2022). Online customer reviews: Insights from the coffee shops industry and the moderating effect of business types. Tourism Review, 77(5), 1349364.
doi.org/10.1108/TR-12-2021-0539Pillai, S. G., Kim, W. G., Haldorai, K., & Kim, H.-S. (2022). Online food delivery services and consumers' purchase intention: Integration of theory of planned behavior, theory of perceived risk, and the elaboration likelihood model. International Journal of Hospitality Management, 105, 103275.
doi.org/10.1016/j.ijhm.2022.103275Handani, N. D., Williady, A., & Kim, H.-S. (2022). An analysis of customer textual reviews and satisfaction at luxury hotels in Singapore's Marina Bay Area (SG-Clean-Certified Hotels). Sustainability, 14(15), 9382.
doi.org/10.3390/su14159382Kim, Y.-J., & Kim, H.-S. (2022). The impact of hotel customer experience on customer satisfaction through online reviews. Sustainability, 14(2), 848.
doi.org/10.3390/su14020848Fu, W., Wei, S., Wang, J., & Kim, H.-S. (2022). Understanding the customer experience and satisfaction of casino hotels in Busan through online user-generated content. Sustainability, 14(10), 5846.
doi.org/10.3390/su14105846Zhang, X., & Kim, H.-S. (2021). Customer experience and satisfaction of Disneyland Hotel through big data analysis of online customer reviews. Sustainability, 13(22), 12699.
doi.org/10.3390/su132212699Kwon, H.-J., Ban, H.-J., Jun, J.-K., & Kim, H.-S. (2021). Topic modeling and sentiment analysis of online review for airlines. Information, 12(2), 78.
doi.org/10.3390/info12020078Ban, H.-J., & Kim, H.-S. (2020). Applying the modified health belief model (HBM) to Korean medical tourism. International Journal of Environmental Research and Public Health, 17(10), 3646.
doi.org/10.3390/ijerph17103646Shadiyar, A., Ban, H.-J., & Kim, H.-S. (2020). Extracting key drivers of air passenger's experience and satisfaction through online review analysis. Sustainability, 12(21), 9188.
doi.org/10.3390/su12219188Ban, H.-J., Choi, H., Choi, E. K., Lee, S., & Kim, H.-S. (2019). Investigating key attributes in experience and satisfaction of hotel customer using online review data. Sustainability, 11(23), 6570.
doi.org/10.3390/su11236570Ban, H.-J., & Kim, H.-S. (2019). Understanding customer experience and satisfaction through airline passengers' online review. Sustainability, 11(15), 4066.
doi.org/10.3390/su11154066Tao, S., & Kim, H.-S. (2019). Cruising in Asia: What can we dig from online cruiser reviews to understand their experience and satisfaction. Asia Pacific Journal of Tourism Research, 24(6), 51428.
doi.org/10.1080/10941665.2019.1591473Kim, H.-S., & Noh, Y. (2019). Elicitation of design factors through big data analysis of online customer reviews for washing machines. Journal of Mechanical Science and Technology, 33(6), 2785795.
doi.org/10.1007/s12206-019-0525-5Roseman, M. G., Joung, H.-W., Choi, E.-K. (C.), & Kim, H.-S. (2017). The effects of restaurant nutrition menu labelling on college students' healthy eating behaviours. Public Health Nutrition, 20(5), 79704.
doi.org/10.1017/S1368980016002871Kim, H.-S., Oh, C., & No, J. K. (2016). Can nutrition label recognition or usage affect nutrition intake according to age? Nutrition, 32(1), 560.
doi.org/10.1016/j.nut.2015.07.004Selected SSCI-indexed publications from the lab focused on user-generated review analysis and big-data approaches to hospitality and tourism. A complete list of publications is available upon request.
