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Faculty of Busin... [4]
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TANG MEI FUNG [3]
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Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries
Journal article
Wu, Edmond H.C., Hu, Jihao, Chen, Rui. Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries[J]. Current Issues in Tourism, 2022, 25(3), 490-507.
Authors:
Wu, Edmond H.C.
;
Hu, Jihao
;
Chen, Rui
Favorite
|
TC[WOS]:
15
TC[Scopus]:
14
IF:
5.7
/
6.7
|
Submit date:2022/05/17
Big Data
Covid-19
Forecast
Hotel Occupancy Rate
Search Query Data
Visitor Arrivals
Predicting hotel occupancies with public data: An application of OECD indices as leading indicators
Journal article
Tang, Candy Mei Fung, King, Brian, Pratt, Stephen. Predicting hotel occupancies with public data: An application of OECD indices as leading indicators[J]. TOURISM ECONOMICS, 2017, 23(5), 1096-1113.
Authors:
Tang, Candy Mei Fung
;
King, Brian
;
Pratt, Stephen
Favorite
|
TC[WOS]:
10
TC[Scopus]:
8
IF:
3.6
/
4.4
|
Submit date:2018/10/30
Oecd
Hotel Occupancy
Revenue Management
Research note: Using demand determinants to anticipate fluctuations in hotel occupancy
Journal article
Tang,Mei Fung Candy, Kulendran,Nada, King,Brian, Yap,Matthew H.T.. Research note: Using demand determinants to anticipate fluctuations in hotel occupancy[J]. Tourism Economics, 2016, 22(1), 179-187.
Authors:
Tang,Mei Fung Candy
;
Kulendran,Nada
;
King,Brian
;
Yap,Matthew H.T.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
|
Submit date:2019/08/01
Hong Kong
Hotel Demand Determinants
Hotel Occupancy Rates
Logistic Regression
Turning Points
Estimating future room occupancy fluctuations to optimize hotel revenues
Journal article
Tang,Candy Mei Fung, King,Brian E.M., Kulendran,Nada. Estimating future room occupancy fluctuations to optimize hotel revenues[J]. Journal of Travel and Tourism Marketing, 2015, 32(7), 870-885.
Authors:
Tang,Candy Mei Fung
;
King,Brian E.M.
;
Kulendran,Nada
Favorite
|
TC[WOS]:
7
TC[Scopus]:
5
|
Submit date:2019/08/01
Hotel Industry
Occupancy Rate
Peak Periods
Revenue Management
Trough Periods