| Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making M Lee, W Kwon, KJ Back International Journal of Contemporary Hospitality Management 33 (6), 2117-2136, 2021 | 67 | 2021 |
| Exploring the underlying factors of customer value in restaurants: A machine learning approach W Kwon, M Lee, KJ Back International Journal of Hospitality Management 91, 102643, 2020 | 60 | 2020 |
| Why am I satisfied? See my reviews–Price and location matter in the restaurant industry J Kim, M Lee, W Kwon, H Park, KJ Back International Journal of Hospitality Management 101, 103111, 2022 | 38 | 2022 |
| Integrating technology to service innovation: Key issues and future research directions in hospitality and tourism M Lee, J Ahn, M Shin, W Kwon, KJ Back Journal of Hospitality and Tourism Technology 12 (1), 19-38, 2021 | 31 | 2021 |
| Assessing restaurant review helpfulness through big data: dual-process and social influence theory W Kwon, M Lee, KJ Back, KY Lee Journal of Hospitality and Tourism Technology 12 (2), 177-195, 2021 | 20 | 2021 |
| Exploring Customers’ Luxury Consumption in Restaurants: A Combined Method of Topic Modeling and Three-Factor Theory W Kwon, M Lee, JT Bowen Cornell Hospitality Quarterly 63 (1), 66-77, 2022 | 12 | 2022 |
| Hospitality 종사원의 감정노동과 결과 변인에 대한 메타분석: 국내 연구를 중심으로 권우석， 김예진， 이규민 관광학연구 40 (9), 51-68, 2016 | 6 | 2016 |
| A co-created value scale for the hospitality service: applying a text mining approach W Kwon International Journal of Contemporary Hospitality Management 35 (7), 2352-2373, 2023 | 2 | 2023 |
| Reading customers’ minds through textual big data: Challenges, practical guidelines, and proposals W Kwon International Journal of Hospitality Management 111, 103473, 2023 | 2 | 2023 |
