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Leisure Tourism

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Abstract

Purpose: With the proliferation of Web 2.0 and the travel-related user-generated content platforms, researchers can obtain abundant unsolicited data to examine guests' perceptions, preferences and behaviors. Drawing on online reviews, this study aims to identify the key factors that determine guest ...

Author(s)
Alrawadİeh, Z.; Law, R.
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Culture, Tourism and Hospitality Research, 2019, 13, 1, pp 84-97
Abstract

Accommodation businesses are increasingly dependent on a limited number of reservation platforms. A significant feature of these platforms is guest evaluations, which are transformed into ratings and rankings. As the positioning of the business in comparison to competitors determines customer...

Author(s)
Gössling, S.; Zeiss, H.; Hall, C. M.; Martin-Rios, C.; Ram, Y.; Grøtte, I. P.
Publisher
Routledge, Abingdon, UK
Citation
Current Issues in Tourism, 2019, 22, 14, pp 1744-1763
Abstract

This study employed netnography for data collection and was based on online reviews about tourists' hotel experiences in Vaasa, Finland that were posted on the travel site TripAdvisor. The study sheds light on the value dimensions that contribute to value co-creation and guests' well-being in...

Author(s)
Sthapit, E.
Publisher
Routledge, Abingdon, UK
Citation
Anatolia, 2019, 30, 1, pp 140-142
Abstract

The impact of destinations' attributes on hotel rates in different locations has been insufficiently compared the existing literature. This study sought to apply the hedonic pricing method to measure and compare how room prices are affected by factors that are both external and inherent to hotel...

Author(s)
Soler, I. P.; Gemar, G.; Guzman-Parra, V. F.
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2019, 77, pp 226-237
Abstract

As peer-to-peer (P2P) accommodations have grown exponentially, it is critical to understand motivations for guests to choose a P2P accommodation instead of a hotel. The current study seeks to understand these motivations by using mixed-methods approach to compare online reviews for P2P...

Author(s)
Belarmino, A.; Whalen, E.; Koh Yoon; Bowen, J. T.
Publisher
Routledge, Abingdon, UK
Citation
Current Issues in Tourism, 2019, 22, 1, pp 1-7
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

Purpose: This study aims to propose a data-driven approach, based on open-source tools, that makes it possible to understand customer satisfaction of the accommodation offer of a whole country. Design/methodology/approach: The method starts by extracting information from all hotels of Portugal...

Author(s)
Moro, S.; Rita, P.; Oliveira, C.; Batista, F.; Ribeiro, R.
Publisher
Emerald Publishing, Bingley, UK
Citation
International Journal of Culture, Tourism and Hospitality Research, 2018, 12, 4, pp 420-426
Abstract

The purpose of the study is to analyse the eco-sensitive hotel guest room experience and its impact on room selection recommendation. Room tips reviews of an eco-sensitive hotel featuring in TripAdvisor were taken for content analysis. The study result indicates that majority of guest provided...

Author(s)
Sudhagar, D. P.
Publisher
Inderscience, Olney, UK
Citation
International Journal of Knowledge Management in Tourism and Hospitality, 2018, 2, 1, pp 1-11
Abstract

Disruption of existing industries by peer-to-peer sharing economy platforms, like Airbnb, has received extensive media attention primarily regarding the regulatory and the social aspects of the sharing economy. In this paper, we examine the substitution and complementary effects of Airbnb supply on ...

Author(s)
Blal, I.; Manisha Singal; Templin, J.
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
International Journal of Hospitality Management, 2018, 73, pp 85-92
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

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