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Leisure Tourism

Your source for all tourism, leisure and hospitality information

CABI’s case study database - Tourism Cases, is a window into the world of tourism development. To search cases and find out more on how to read online, download PDFs and access teaching notes visit Tourism Cases at: https://www.cabidigitallibrary.org/journal/tcs 

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Abstract

Weather is one of the critical factors that influence tourists' destination choices and activities. Apart from ambient temperature anomaly, rain anomaly is also an important factor considered by tourists when they plan and modify their vacation and holiday trips. This study confirms the important...

Author(s)
Mun SungGyun; Park Sangwon
Publisher
Sage Publications Ltd, London, UK
Citation
Journal of Hospitality & Tourism Research, 2023, 47, 7, pp 1299-1324
Abstract

This study examines the impact of artificial intelligence (AI) (Personalized Guest Experience, Chatbots and Virtual Assistants, Revenue Management, Operational Efficiency, Fraud Detection and Security, Predictive Maintenance) on guest satisfaction in luxury hotels from perspective of managers. A...

Author(s)
Al-Hyari, H. S.; Al-Smadi, H. M.; Weshah, S. R.
Publisher
Universitatea din Oradea Romania, Oradea, Romania
Citation
GeoJournal of Tourism and Geosites, 2023, 48, Suppl. 2, pp 810-819
Abstract

In the hospitality industry, revenue management is vital for the sustainability of the business. Powering this strategic concept is the occupancy rate (OR) forecast. Predicting occupancy of the hotel is essential for managers' decision-making process as it gives an estimate of the future business...

Author(s)
Dowlut, N.; Gobin-Rahimbux, B.
Publisher
Elsevier, Amsterdam, Netherlands
Citation
Heliyon, 2023, 9, 7,
AbstractFull Text

Revenue management as a practice is widespread in the hotel industry where it has proven to be the foundation of competitiveness in a global and dynamic environment. With this work, the authors supplement the insufficient literature on revenue management in companies in Croatia. The aim of this...

Author(s)
Tkalec, D.; Čanadi, V.
Publisher
Vimal Akademija, Moslavačka Slatina, Hrvatska
Citation
3. međunarodna znanstveno-stručna konferencija za razvoj ruralnog turizma "Edukacija kakao ključni faktor održivog i odgovornog razvoja ruralnog područja", Čakovcu Terme Sveti Martin, Hrvatska, 24. i 25.11.2022. Zbornik radova, 2023, pp 41-57
Abstract

How can hospitality and tourism firms reduce consumers' perceptions of unfairness regarding their price discrimination practices? We propose that pricing algorithms, as advanced revenue management tools, can play a role. We demonstrated the effects of an algorithmic cue through a tweet analysis and ...

Author(s)
Choi Sungwoo; Song Myungkeun; Jing Luo
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2023, 99,
AbstractFull Text

Purpose: This research aims to uncover the weaknesses of traditional hotel revenue management metrics (RM) and evaluate the potential application of two new metrics, specifically net revenue per available room and revenue per available customer. Design/Methodology/Approach: Initially, a focus group ...

Author(s)
Remy, D.; Chern, H.; Tee, S.
Publisher
Faculty of Tourism and Hospitality Management, University of Rijeka, Opatija, Croatia
Citation
Tourism and Hospitality Management, 2023, 29, 2, pp 221-233
Abstract

Accurate demand forecasting is integral for data-driven revenue management decisions of hotels, but an unprecedented demand environment caused by COVID-19 pandemic has made the forecasting process more difficult. This study aims to propose a new approach for daily hotel demand forecasting by using...

Author(s)
Viverit, L.; Heo, C. Y.; Pereira, L. N.; Tiana, G.
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2023, 111,
Abstract

Purpose: The purpose of this paper is to use demand behavior estimation to find the sources of price variability among resort hotels at different Spanish destinations. Design/methodology/approach: This paper estimates online demand functions during high season for seven four-star resort hotels...

Author(s)
Vives, A.; Jacob, M.
Publisher
Emerald Publishing, Bingley, UK
Citation
Journal of Hospitality and Tourism Technology, 2023, 14, 2, pp 137-153
Full TextCABI Book Info
Cover for Teaching cases in tourism, hospitality and events.

The tourism, hospitality and events industries comprise one of the largest and most diverse workforces in the world, creating high demand for graduates with strong technical and managerial competencies. Case-based learning encourages students to think, understand, and apply the concepts and...

ISBN
2023 CABI (H ISBN 9781800621008)
Type
Book
Full TextCABI Book Chapter Info
Cover for The Twinhill Hotel: revenue management at a family-owned hotel.

This case intends to familiarize learners with the concept of forecasting, pricing and displacement. The main objective is to equip undergraduate and postgraduate students and research scholars of hotel management to identify the difference between assumption and calculative thinking and...

Author(s)
Rohan Jugran
ISBN
2023 CABI (H ISBN 9781800621008)
Type
Book chapter

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