Digital tourism research: a bibliometric visualisation review (2002–2023) and research agenda
Z Li, M Huo, T Huo, H Luo - Tourism Review, 2024 - emerald.com
Purpose This study aims to review the diversified existing literature on digital tourism from
2002 to 2023 using bibliometric analysis to present a holistic review of the current scientific …
2002 to 2023 using bibliometric analysis to present a holistic review of the current scientific …
Digitalizing business models in hospitality ecosystems: toward data-driven innovation
Purpose Digitalization accelerates the need of tourism and hospitality ecosystems to reframe
business models in line with a data-driven orientation that can foster value creation and …
business models in line with a data-driven orientation that can foster value creation and …
Personalized tourism recommendations and the E-tourism user experience
X Yang, L Zhang, Z Feng - Journal of Travel Research, 2024 - journals.sagepub.com
Previous research indicates that personalized tourism recommendation (PTR) is becoming
increasingly important in tourism marketing. However, many areas of PTR remain …
increasingly important in tourism marketing. However, many areas of PTR remain …
Mapping analysis of the research trends on digital technologies and circular economy in tourism
S Nassanbekova, G Yeshenkulova - Journal of Environmental …, 2022 - ceeol.com
Tourism as an industry, which is interdependent and influences several sectors of the
economy, has the potential significantly to enhance global sustainability. One of the new …
economy, has the potential significantly to enhance global sustainability. One of the new …
Destination image: a consumer-based, big data-enabled approach
Purpose This study aims to use a bottom-up, inductive approach to derive destination image
attributes from large quantities of online consumer narratives and establish a destination …
attributes from large quantities of online consumer narratives and establish a destination …
Selection biases in crowdsourced big data applied to tourism research: An interpretive framework
Crowdsourced big data has faced growing criticism due to its quality issues, particularly
selection biases. We propose an interpretive framework for understanding selection biases …
selection biases. We propose an interpretive framework for understanding selection biases …
A design concept of big data analytics model for managers in hospitality industries
The hospitality and tourism sector has long played a significant role in Australia's economy,
especially in regional areas. Due to the onslaught of COVID-19, numerous businesses have …
especially in regional areas. Due to the onslaught of COVID-19, numerous businesses have …
Applying image recognition techniques to visual information mining in hospitality and tourism
Purpose This study aims to provide a critical reflection of the application of image
recognition techniques in visual information mining in hospitality and tourism …
recognition techniques in visual information mining in hospitality and tourism …
Are all tourism review information on the platforms equally useful?
Y Tao, Z He, G Wu, C Shi - Journal of Hospitality and Tourism Management, 2023 - Elsevier
Extracting experimental stimulus reviews that contain complete information can provide a
new research perspective for comparing the usefulness of reviews from different platforms …
new research perspective for comparing the usefulness of reviews from different platforms …
[HTML][HTML] 'Apparent'and actual hotel scores under Booking. com new reviewing system
V Leoni, D Boto-García - International Journal of Hospitality Management, 2023 - Elsevier
Abstract In September 2019, Booking. com changed its reviewing system based on the
simple average of six items on a 2.5–10 scale by an unrestricted valuation on a 1–10 scale …
simple average of six items on a 2.5–10 scale by an unrestricted valuation on a 1–10 scale …