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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://tourism.cabi.org/casestudies/

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Abstract

Electronic word of mouth (EWOM) is a recent and highly significant player in hospitality, particularly because of the intangible nature of the industry. Almost all consumers refer to online reviews as a foundation in their decision making process. Online ratings and online reputation management...

Author(s)
Samin Khan; Shah, S. M.
Publisher
Banarsidas Chandiwala Institute of Hotel Management and Catering Technology, New Delhi, India
Citation
Indian Journal of Applied Hospitality & Tourism Research, 2022, 14, pp 67-79
Abstract

Despite the important role of the sentiment of customer reviews in the tourist decision-making process, it has received limited attention from the field of tourism demand forecasting. This study aims to examine the sentiment information of customer reviews and explore its potential in enhancing...

Author(s)
Wu ChenGuang [Wu, C. G. D.]; Zhong ShiTeng; Qiu, R. T. R.; Wu Ji
Publisher
Sage Publications Ltd, London, UK
Citation
Tourism Economics, 2022, 28, 3, pp 795-816
Abstract

The coronavirus disease (COVID-19) has impacted the hotel industry in all aspects. However, the changes in hotel customer satisfaction deserve additional attention. Using online hotel reviews, this study explores the difference between the influencing factors of customer satisfaction before and...

Author(s)
Song Yu; Liu KangZhao; Guo LingBo; Yang ZhenZhi; Jin MaoZhu
Publisher
Elsevier Ltd, Oxford, UK
Citation
Journal of Hospitality and Tourism Management, 2022, 51, pp 132-138
Abstract

Understanding customer preferences is important for Airbnb accommodation hosts and hotel managers because they compete with and complement each other. As such, this study investigates the topics that appear in Airbnb reviews more than in hotel reviews, the associated sentiment orientation, and how...

Author(s)
Gao BaoJun; Zhu MinYue; Liu Shan; Jiang Mei
Publisher
Elsevier Ltd, Oxford, UK
Citation
Journal of Hospitality and Tourism Management, 2022, 51, pp 119-131
Abstract

Purpose: This study aims to analyzes the effects of the consumer-generated media (CGM) boom on hotel managers' investment behavior concerning quality signals. Design/methodology/approach: Survival analysis has been conducted, considering the permanence/dropout of the Spanish hotels in a quality...

Author(s)
Castro-Lopez, A.; Fernández-Pacheco, L. C.; Iglesias, V.; Ballina, J. de la
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Contemporary Hospitality Management, 2022, 34, 6, pp 2379-2398
AbstractFull Text

Purpose - The paper aims to identify the main hotel management response strategies to a negative online review and examine their influence on the trust of potential guests reading reviews in user-generated media. Design - Five response strategies that emerged from the literature were empirically...

Author(s)
Kapeš, J.; Keča, K.; Fugošić, N.; Tanković, A. Č.
Publisher
Faculty of Tourism and Hospitality Management, University of Rijeka, Opatija, Croatia
Citation
Tourism and Hospitality Management, 2022, 28, 1, pp 1-27
Abstract

Spatial distance is crucial for understanding consumers' decisions and behavior. However, research has not addressed how the spatial distance between consumers and hotels influences online review generation. Based on online hotel review data from TripAdvisor, this study illustrates a positive...

Author(s)
Zhang ZiQiong; Qiao ShuChen; Chen Ying; Zhang ZiLi
Publisher
Elsevier Ltd, Oxford, UK
Citation
Annals of Tourism Research, 2022, 94,
Abstract

Purpose: The paper aims to find the preferences of different tourist type. Since, COVID-19 pandemic has brought the international hospitality industry to a standstill, there are some early signs of recovery. For this industry's long-term recovery, the tourists' changing preferences need to be...

Author(s)
Ongsakul, V.; Tanveer Kajla; Sahil Raj; Tran Tien Khoa; Ahmed, Z. U.
Publisher
Emerald Publishing, Bingley, UK
Citation
Journal of Hospitality and Tourism Technology, 2022, 13, 2, pp 295-313
Abstract

The current study demonstrates how MUltiplecriteria Satisfaction Analysis (MUSA) can turn online hotel guests' satisfaction ratings from TripAdvisor into a valuable source of information for hotel managers and other hotel industry stakeholders. This information relates to customers' demanding level ...

Author(s)
Manolitzas, P.; Glaveli, N.; Palamas, S.; Talias, M.; Grigoroudis, E.
Publisher
Routledge, Abingdon, UK
Citation
Current Issues in Tourism, 2022, 25, 8, pp 1203-1208
Abstract

Purpose: The purpose of this study is to develop a review rating prediction method based on a supervised text mining approach for unrated customer reviews. Design/methodology/approach: Using 2,851 hotel comment card (HCC) reviews, this paper manually labeled positive and negative comments with...

Author(s)
Tanrisevdi, A.; Öztürk, G.; Öztürk, A. C.
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Contemporary Hospitality Management, 2022, 34, 5, pp 1823-1853

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