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Leisure Tourism

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Abstract

In selecting a hotel room, guests evaluate specific room characteristics. After their stay, these characteristics are used as reference levels in deciding which hotel room to stay in the future. According to prospect theory, the gains (i.e., upgrade or improving) and losses (i.e., downgrade or...

Author(s)
Masiero, L.; Pan Bing; Heo YoonJoung [Heo, Y. J. C. ]
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2016, 56, pp 18-27
Abstract

Purpose: The purpose of this study is to understand how and to what extent Hong Kong hotels have integrated customer relationship management (CRM) into their revenue management (RM) practices at individual customer level. Method: Semi-structured interviews were used to gather information from...

Author(s)
Guillet, B. D.; Shi XinChen
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Contemporary Hospitality Management, 2019, 31, 2, pp 978-997
Abstract

The purpose of this study is to investigate potential differences in attitudes between Chinese and Western tourists towards various hotel room reservation policies. The study is meant to help the revenue managers of international hotel companies make informed choices on whether to pursue a...

Author(s)
Liu Wei; Guillet, B. D.; Xiao Qu; Law, R.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2014, 41, pp 148-157
Abstract

This study proposes a hotel demand estimation mechanism that assesses the likelihood of forthcoming occupancy peaks and troughs applicable to different hotel classifications. In anticipating rate fluctuations, the approach is less dependent than many prevailing hotel forecasts on short-term...

Author(s)
Tang MeiFung [Tang, M. F. C. ]; King, B. E. M.; Kulendran, N.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 870-885
Abstract

The purpose of this descriptive study is to explore revenue management (RM), it may relevant for travel agencies in their business management. In view of the features that this sector shares with traditional revenue management (RM) users such as the airline and hotel industries, travel agencies...

Author(s)
Chan SukHa [Chan, S. H. G. ]; Guillet, B. D.
Publisher
Canadian Center of Science and Education, Toronto, Canada
Citation
Journal of Management and Sustainability, 2015, 5, 4, pp 17-29
Abstract

This special issue highlights new research perspectives and progress in revenue management (RM) practices in the tourist and hospitality industries. It consists of eight papers covering: RM strategies and segmentation; booking and occupancy forecasting and modelling issues; hotel cancelation...

Author(s)
Legohérel, P.; Schwartz, Z.; Heo, C. Y.; Wang, X. L.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 795-933
Abstract

Hotel managers need to understand the marginal utility customers associate with a specific attribute of a hotel in order to effectively set up rate fences and to price their rooms accordingly. This study adopted a stated choice experiment and discrete choice modeling method to obtain hotel guests'...

Author(s)
Masiero, L.; Heo YoonJoung [Heo, Y. J. C. ]; Pan Bing
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2015, 49, pp 117-124
Abstract

Today's highly unpredictable and competitive global environment has had profound effects on the travel industry. Higher operational costs and reduced profit margins have caused many Hong Kong travel agencies go out of business altogether, the profit margins of Hong Kong travel agencies are...

Author(s)
Chan SukHa [Chan, S. H. G. ]; Guillet, B. D.
Publisher
Canadian Center of Science and Education, Toronto, Canada
Citation
Journal of Management and Sustainability, 2016, 6, 3, pp 57-67
Abstract

The purpose of this study is to segment hotel customers based on room rates and rate fences. Four distinct customer segments were identified by combining conjoint and cluster analysis methods: refund seekers, 1-week advance booking lovers, price-sensitive consumers, and non-fenced consumers. The...

Author(s)
Guillet, B. D.; Guo YuanYuan; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 835-851
Abstract

Although there is considerable interest in the advance bookings model as a forecasting method in the hotel industry, there has been little research analyzing the use of an advance booking curve in forecasting hotel reservations. The mainstream of advance booking models reviewed in the literature...

Author(s)
Tse SzeMing [Tse, S. M. T. ]; Poon, Y. T.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 852-869

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