Empowering the traveler: an examination of the impact of user-generated content on travel planning

Filho, Luiz Mendes; Mills, Annette; Tan, Felix B.; Milne, Simon

doi:10.1080/10548408.2017.1358237

Cited by 80 publications

(67 citation statements)

References 46 publications

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“…There is already a dearth of research on UCG, studies primarily focus on predictors that influence online users acceptance of UGC (e.g. Assaker, Hallak, & El-Haddad, 2020 ; Ayer, 2015 ; Ayer, Au, & Law, 2013a ; Mendes-Filho, Mills, Tan, & Milne, 2018 ); UGC's impacts on travel organisations and destination marketing (e.g. Baka, 2016 ; Marine-Roig, 2017 ; Taecharungroj & Mathayomchan, 2019 ; Zhang, Zhang, & Yang, 2016 ; Önder, Gunter, & Gindl, 2020 ); and user intentions to engage into online travel communities (e.g.…”

Section: Introductionmentioning

confidence: 99%

From desktop to destination: User-generated content platforms, co-created online experiences, destination image and satisfaction

Lam

Ismail

Lee

2020

Journal of Destination Marketing & Management

103

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Section: Introductionmentioning

confidence: 99%

From desktop to destination: User-generated content platforms, co-created online experiences, destination image and satisfaction

Lam

Ismail

Lee

2020

Journal of Destination Marketing & Management

103

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“…By way of example, the following, based on surveys, can be cited: one, on Turkish users [51], showed the validity of TGC as a source in the search for information related to the trip and, more broadly, in the planning process thereof. Another, on visitors from New Zealand [52], revealed that perceived usefulness and empowerment led to the use of TGC to plan the trip. A third, about Chinese travellers [53], showed that eWoM had a significant utility and influence in the planning and decision making related to the trip.…”

mentioning

confidence: 99%

Destination Image Analytics Through Traveller-Generated Content

Mariné-Roig

2019

Sustainability

107

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The explosion of content generated by users, in parallel with the spectacular growth of social media and the proliferation of mobile devices, is causing a paradigm shift in research. Surveys or interviews are no longer necessary to obtain users’ opinions, because researchers can get this information freely on social media. In the field of tourism, online travel reviews (OTRs) hosted on travel-related websites stand out. The objective of this article is to demonstrate the usefulness of OTRs to analyse the image of a tourist destination. For this, a theoretical and methodological framework is defined, as well as metrics that allow for measuring different aspects (designative, appraisive and prescriptive) of the tourist image. The model is applied to the region of Attica (Greece) through a random sample of 300,000 TripAdvisor OTRs about attractions, activities, restaurants and hotels written in English between 2013 and 2018. The results show trends, preferences, assessments, and opinions from the demand side, which can be useful for destination managers in optimising the distribution of available resources and promoting sustainability.

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“…Social media has fundamentally changed the way tourists find, trust and collaboratively produce information about tourism suppliers and destinations. Social media applications, such as blogs, electronic social networks and aggregators of UGC, are especially influential in supporting the creation and exchange of user-generated travel information, opinions and recommendations [20][21][22][23]. One outcome of this use of UGC is its potential impact on traveller empowerment and, consequently, on travel planning behaviour [24,25].…”

Section: Social Media Mining For Tourism Researchmentioning

confidence: 99%

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer

Kaufmann

Siegfried

Huck

et al. 2019

IJGI

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We contribute a system design and a generalized formal methodology to segment tourists based on their geolocated blogging behaviour according to their interests in identified tourist hotspots. Thus, it is possible to identify and target groups that are possibly interested in alternative destinations to relieve overtourism. A pilot application in a case study of Chinese travel in Switzerland by analysing Qyer travel blog data demonstrates the potential of our method. Accordingly, we contribute four conclusions supported by empirical data. First, our method can enable discovery of plausible geographical distributions of tourist hotspots, which validates the plausibility of the data and its collection. Second, our method discovered statistically significant stochastic dependencies that meaningfully differentiate the observed user base, which demonstrates its value for segmentation. Furthermore, the case study contributes two practical insights for tourism management. Third, Chinese independent travellers, which are the main target group of Qyer, are mainly interested in the discovered travel hotspots, similar to tourists on packaged tours, but also show interest in alternative places. Fourth, the proposed user segmentation revealed two clusters based on users’ social media activity level. For tourism research, users within the second cluster are of interest, which are defined by two segmentation attributes: they blogged about more than just one location, and they have followers. These tourists are significantly more likely to be interested in alternative destinations out of the hotspot axis. Knowing this can help define a target group for marketing activities to promote alternative destinations.

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Empowering the traveler: an examination of the impact of user-generated content on travel planning

Cited by 80 publications

References 46 publications

From desktop to destination: User-generated content platforms, co-created online experiences, destination image and satisfaction

From desktop to destination: User-generated content platforms, co-created online experiences, destination image and satisfaction

Destination Image Analytics Through Traveller-Generated Content

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer

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