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Leisure Tourism

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Abstract

Increasingly, consumers are posting online reviews about hotels, restaurants, and other tourism and hospitality providers. While some managers are responding to these reviews, little is known about how to respond and how to do so effectively. Drawing on the service recovery, justice, and electronic ...

Author(s)
Sparks, B. A.; Bradley, G. L.
Publisher
Sage Publications Ltd, London, UK
Citation
Journal of Hospitality & Tourism Research, 2017, 41, 6, pp 719-745
Abstract

In this paper we propose a system that performs the classification of customer reviews of hotels by means of a sentiment analysis. We elaborate on a process to extract a domain specific lexicon of semantically relevant words based on a given corpus (Scharl et al., 2003; Pak & Paroubek, 2010). The...

Author(s)
Gräbner, D.; Zanker, M.; Fliedl, G.; Fuchs, M.
Publisher
Springer-Verlag Wien, A-1201 Wien, Austria
Citation
Information and communication technologies in tourism 2012, Helsingborg, Sweden, January 25-27, 2012, 2012, pp 470
Abstract

The development of the Internet and mobile devices enabled the emergence of travel and hospitality review sites, leading to a large number of customer opinion posts. While such comments may influence future demand of the targeted hotels, they can also be used by hotel managers to improve customer...

Author(s)
Calheiros, A. C.; Moro, S.; Rita, P.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Hospitality Marketing & Management, 2017, 26, 7, pp 675-693
Abstract

Customers' online reviews play an important role in generating electronic word of mouth; these reviews serve as an online communication tool that highly influences consumers' demand for hotels. Using latent semantic analysis, which is a text mining approach, we analyze online customer reviews of...

Author(s)
Xu Xun; Li YiBai
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2016, 55, pp 57-69
Abstract

The present paper discuss a critical analysis on classification of hotels modes and accommodations types undertaken by online travel agencies (OTA's) like Tripadvisor and Booking.com. Statistical process to rank user's generated contents (UGC) shared on virtual networks as "reviews" and "notes" are ...

Author(s)
Ramos, M. G.
Publisher
Universidade de Aveiro, Aveiro, Portugal
Citation
Revista Turismo & Desenvolvimento, 2018, No.30, pp 111-124
Abstract

As an emerging research paradigm, big data analytics has been gaining currency in various fields. However, in existing hospitality and tourism literature there is scarcity of discussions on the quality of data which may impact the validity and generalizability of research findings. This study...

Author(s)
Xiang Zheng; Du QianZhou; Ma YuFeng; Fan WeiGuo
Publisher
Springer Berlin, Heidelberg, Germany
Citation
Information Technology and Tourism, 2018, 18, 1/4, pp 43-59
Abstract

In this article, we unveil determinants of guest satisfaction with urban hotel locations and disclose what types of locations are preferred by guests. Using data from 8,185 online reviews of 220 Los Angeles hotels checked in during a 1-year period, we apply a mixed-effect ordered logit model to...

Author(s)
Yang Yang; Mao ZhenXing; Tang JingYin
Publisher
Sage Publications, Thousand Oaks, USA
Citation
Journal of Travel Research, 2018, 57, 2, pp 243-259
AbstractFull Text

European countries do not have the same hotel classification system. Therefore, the criteria and requirements used to assign star ratings to hotels do not concur among the different countries. There have been some criticisms about the way hotel stars are assigned, because the requirements do not...

Author(s)
Martin-Fuentes, E.; Mateu, C.; Fernandez, C.
Publisher
Universidad de Murcia, Murcia, Spain
Citation
Cuadernos de Turismo, 2018, 42, pp 305-316, 639-642
Abstract

Hotel classification systems have been questioned on some occasions due to the loss of credibility of stars as a quality standard and because they are sometimes subject to outdated criteria. In any case, this system allows reducing the adverse effects of asymmetric information, characterized in a...

Author(s)
Martin-Fuentes, E.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Journal of Hospitality and Tourism Management, 2016, 29, pp 126-134
Abstract

This study aims to explore the typology of hotel crime and how it is related to guests' fear of crime based on a cause-and-consequence model. A total of 873 TripAdvisor reviews were content-analyzed to develop a typology of hotel crime. High-class hotels experienced more theft, fraud, and burglary...

Author(s)
Leung, X. Y.; Yang Yang; Dubin, E. A.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2018, 35, 8, pp 1071-1086

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