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Abstract

Revenue management (RM), a common practice for the hotel industry, has been found to be very effective in generating extra revenue. However, prior studies have shown that the implementation of RM may potentially be in conflict with customer loyalty, the basis for long-term profitability. With a...

Author(s)
Lin YiHsin; Huang KuanCheng
Publisher
Routledge, Abingdon, UK
Citation
Asia Pacific Journal of Tourism Research, 2015, 20, 12, pp 1374-1388
Abstract

The Office of Fair Trading, a not-for-profit and non-ministerial government department of the United Kingdom (from April 2014 incorporated within the Competition and Markets Authority), investigated the legality of rate parity from 2012, particularly rate parity agreements made between...

Author(s)
Haynes, N.; Egan, D.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 923-933
Abstract

Hotel cancellation policies (CancPols) are designed to minimize losses for the lodging companies. Liberal CancPols have resulted in revenue forecasting errors and eventual loss of revenues. The current study investigates the effect of different CancPols on consumer patronage and willingness to pay. ...

Author(s)
Smith, S. J.; Parsa, H. G.; Bujisic, M.; Rest, J. P. van der
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 886-906
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

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
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

This paper evaluates the main developments of revenue management (RM) over the past decade and discusses RM challenges and research prospects. It examines nine notable emerging themes: total hotel RM, big data analytics, distribution, rate integrity, RM and marketing strategies alignment, social...

Author(s)
Wang Xuan [Wang, X. L. ]; Heo YoonJoung [Heo, Y. J. C. ]; Schwartz, Z.; Legohérel, P.; Specklin, F.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 797-811
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

Purpose - The purpose of this study was to examine hospitality revenue management (RM) research in the recent decade, to identify emergent issues/topics and suggest directions for future research. Design/methodology/approach - A systematic process of literature review involving content analysis was ...

Author(s)
Guillet, B. D.; Mohammed, I.
Publisher
Emerald Group Publishing Ltd, Bradford, UK
Citation
International Journal of Contemporary Hospitality Management, 2015, 27, 4, pp 526-560

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