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Leisure Tourism

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Abstract

Purpose: This study aims to adopt a cognitive heuristic approach to investigate the interaction effect of a message source characteristic (reviewer expertise [RE]) and two message structure characteristics (review rating consistency [RC] and review valence [RV]) on the perceived credibility of...

Author(s)
Lo, A. S.; Yao SiYu [Yao, S. Y. S. ]
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Contemporary Hospitality Management, 2019, 31, 1, pp 41-60
Abstract

Knowledge about where tourists stay during their trips, and at what time of year, is important to destination marketing, management, and planning. However, analysis of the spatial and temporal accommodation patterns of tourists often requires comprehensive data sets, advanced analytical techniques, ...

Author(s)
Ye HaoBin [Ye, H. B. B. ]; Luo JianMing; Vu HuyQuan
Publisher
Elsevier, Amsterdam, Netherlands
Citation
Journal of Destination Marketing & Management, 2018, 9, pp 288-299
Abstract

Hotel service levels and pricing range are often denoted by the "star" rating system predominant in that country. This rating system depends considerably on travel agencies to disseminate information to consumers to assist them in their hotel selection. Given the popularity of online travel...

Author(s)
Leung, R.; Au, N.; Liu JianWei; Law, R.
Publisher
Sage Publications, Thousand Oaks, USA
Citation
Journal of Vacation Marketing, 2018, 24, 2, pp 103-117
Abstract

As online reviews, ratings, and helpful votes in e-commerce platforms become industry-centric, this study examines how virtual badges affect the online behavior of reviewers and readers based on status-seeking theory in an online environment. This study finds that online readers prefer reviews with ...

Author(s)
Schuckert, M.; Liu XianWei; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2016, 33, 4, pp 440-452
Abstract

The Internet has made searching for hotel room information and making online reservations common practices among hotel guests. Despite constantly changing consumer behavior and widespread application of online hotel information sources, limited studies have been conducted to examine the online...

Author(s)
Sun, S.; Fong HocNang [Fong, H. N. L. ]; Law, R.; Luk, C.
Publisher
Routledge, Abingdon, UK
Citation
Asia Pacific Journal of Tourism Research, 2016, 21, 4, pp 443-456
Abstract

Incentive hierarchies are routinely adopted by websites that rely on user-generated content (UGC). They aim to motivate users to contribute by awarding them increasingly higher status on the platform after more and more difficult goals have been achieved. However, whether or not such functionality...

Author(s)
Liu XianWei; Schuckert, M.; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2016, 33, 3, pp 279-292
Abstract

The current paper focuses on a lucrative, but a relatively unknown Russian market. Content analysis of online reviews from three review websites is conducted and the important hotel attributes for Russian visitors to Hong Kong are identified. The results demonstrate that Russian guests, as with...

Author(s)
Tolkach, D.; Tse, T. S. M.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of China Tourism Research, 2016, 12, 3/4, pp 331-354
Abstract

Online ratings and online reputation management are becoming increasingly popular and important. With this increasing importance, attempts to manipulate online reviews through fake reviews have become more prevalent. Suspicious online reviews (ratings) exist on many e-commerce platforms, but these...

Author(s)
Schuckert, M.; Liu XianWei; Law, R.
Publisher
Routledge, Abingdon, UK
Citation
Asia Pacific Journal of Tourism Research, 2016, 21, 3, pp 259-272
Abstract

With the growing influence of online reviews, more hotels are adopting online response management, but whether this works and benefits a hotel has rarely been studied. In this research, we study the impact of response management on hotel online ratings using data retrieved from TripAdvisor with a...

Author(s)
Liu XianWei; Schuckert, M.; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 8, pp 1069-1080
Abstract

We employ a secondary data source of more than 86,000 customer ratings of Hong Kong star-rated hotels to explore the distribution and difference in rating behavior of English and non-English speaking guests in an online environment. We find that (a) English speaking guests prefer high-class hotels, ...

Author(s)
Schuckert, M.; Liu XianWei; Law, R.
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2015, 48, pp 143-149

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