Cookies on Leisure Tourism

Like most websites we use cookies. This is to ensure that we give you the best experience possible.

 

Continuing to use www.cabi.org  means you agree to our use of cookies. If you would like to, you can learn more about the cookies we use.

Leisure Tourism

Your source for all tourism, leisure and hospitality information

>>> Sign up to receive our Leisure, Hospitality & Tourism e-newsletter, book alerts, and offers <<<

Results per page:

Search results

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 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

From a theoretical perspective, it is unclear whether hotels should offer a discount to customers who stay for longer periods, while it is rather clear that customers feel entitled to such length-of-stay (LOS)-based discounts. Accordingly, the major theoretical contribution of this study is to...

Author(s)
Riasi, A.; Schwartz, Z.; Liu Xuan; Li SongZi
Publisher
Sage Publications, Thousand Oaks, USA
Citation
Cornell Hospitality Quarterly, 2017, 58, 4, pp 393-399
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

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
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

Hotel revenue management is an activity domain that is uniquely technical, complex, and dynamic, and as such, it is often outsourced. This study explores the motivation of hotels to outsource their revenue management function to an outside entity. The major theoretical contribution is in being...

Author(s)
Altin, M.; Uysal, M.; Schwartz, Z.
Publisher
Sage Publications, Thousand Oaks, USA
Citation
Cornell Hospitality Quarterly, 2018, 59, 2, pp 112-124
Abstract

This study aims to draw the attention of the revenue management academic community to inherent problems in forecasting accuracy measurement, and to initiate a critical discussion about forecast quality assessment in hotels. An exhaustive, literature-based set of seventeen forecasting accuracy...

Author(s)
Koupriouchina, L.; Rest, J. P. van der; Schwartz, Z.
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2014, 41, pp 104-114
Abstract

Purpose: This paper aims to demonstrate how hospitality management research could benefit from the propositional style of theorizing, and how this approach could expand the scope of research in the discipline. Design/methodology/approach: Developing new theories could provide unique insights and...

Author(s)
Riasi, A.; Schwartz, Z.; Chen ChihChien
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Contemporary Hospitality Management, 2018, 30, 11, pp 3211-3228

Refine Results

Sort Order
Author
Geographical Location
Item Type
Organisms
Subject Topics