The Building Blocks of Regenerative Tourism and Hospitality: A Text-mining Approach
Keywords
Dimensions; Leximancer; Regenerative tourism and hospitality; sentiment analysis; text analytics
Abstract
Regenerative tourism and hospitality (RTH) offer the industry a robust transformational potential as a further step toward sustainability thinking and development. This study aims to scrutinize regenerative tourism and hospitality from the suppliers' perspective. We selected industrial media contents posted by tourism and hospitality suppliers on the regenerative approach. Drawing on Heider's balance theory, we combined two textual mining techniques (content and sentiment analysis) in order to decrypt the suppliers' perspective of RTH. Our research identified a set of key dimensions for deciphering RTH, namely (1) sustainability, (2) harmonized communities, (3) resources restoration, (4) carbon-offsetting, and (5) energy saving. The findings can help practitioners advance, follow the shift from sustainable to regenerative tourism and hospitality, as well as help suppliers shape the tourism and hospitality sector's future. Despite RTH's significance, there is scant research on its development, marketing potential and promotion. This work therefore serves as an important examination of the RTH.
Publication Date
1-1-2024
Original Citation
Luong, V. H., Manthiou, A., Kang, J., & Nguyen, C. (2024). The building blocks of regenerative tourism and hospitality: a text-mining approach. Current Issues in Tourism, 27(3), 361–380. https://doi.org/10.1080/13683500.2023.2228974.
Document Type
Paper
Language
English
Source Title
Current Issues in Tourism
Volume
27
Issue
3
Copyright Status
Unknown
College
Rosen College of Hospitality Management
Location
Rosen College of Hospitality Management
STARS Citation
Luong, Van Ha; Manthiou, Aikaterini; Kang, Juhee; and Nguyen, Cuong, "The Building Blocks of Regenerative Tourism and Hospitality: A Text-mining Approach" (2024). Faculty Scholarship and Creative Works. 1271.
https://stars.library.ucf.edu/ucfscholar/1271
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