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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

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

Purpose: The prevalence of online review websites and the ever-growing difficulty of judging review quality result in the increasing need for consumers to reduce cognitive costs. Thus, the purpose of this study is to find out the determinants of review helpfulness based on a comprehensive...

Author(s)
Liang Sai; Schuckert, M.; Law, R.
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Contemporary Hospitality Management, 2019, 31, 2, pp 953-977
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

The diverse characteristics of customers and hotels have been identified as relevant to online customer satisfaction at the individual level. In this study, a comprehensive examination is conducted, through the use of a multilevel, nested model and secondary data set. The results show that both ...

Author(s)
Liang Sai; Schuckert, M.; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2017, 34, 2, pp 239-256
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