The impact of user-generated content on intention to select a travel destination

Nguyen, Thao Thanh Thi; Tong, Shurong

doi:10.1057/s41270-022-00174-7

Cited by 37 publications

(23 citation statements)

References 73 publications

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“…Especially for intangible products and purchasing experiential goods (e.g., destinations, hotels, restaurants, and other tourism products), it is difficult to try out products before consumption. Therefore, tourists tend to rely heavily on online reviews to learn about the reputation of destinations or tourism facilities to make consumption decisions (Nguyen and Tong, 2022 ). According to Porteous ( 2014 ), nearly half of online consumers indicated that travel-related online reviews significantly influence their desire to visit a travel destination and they actively read and post reviews after experiencing service products.…”

Section: Introductionmentioning

confidence: 99%

“…Given the proliferation of reviews on online travel sites and the resulting consumer impact (TripAdvisor, 2019 ), many scholars have made efforts to explore the relationship between online travel reviews and consumer behavior, and to what extent reviews influence the consumer's decisions and choices (Hlee et al, 2018 ; Liu et al, 2019 ; Nguyen and Tong, 2022 ). Some studies tend to evaluate the content quality of online reviews.…”

Section: Introductionmentioning

confidence: 99%

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Language interpretation in travel guidance platform: Text mining and sentiment analysis of TripAdvisor reviews

Miao

Chen²,

Yang³

et al. 2022

Front. Psychol.

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The opinions and feelings expressed by tourists in their reviews intuitively represent tourists' evaluation of travel destinations with distinct tones and strong emotions. Both consumers and product/service providers need help understanding and navigating the resulting information spaces, which are vast and dynamic. Traditional sentiment analysis is mostly based on statistics, which can analyze the sentiment of a large number of texts. However, it is difficult to classify the overall sentiment of a text, and the context-independent nature limits their representative power in a rich context, hurting performance in Natural Language Processing (NLP) tasks. This work proposes an aspect-based sentiment analysis model by extracting aspect-category and corresponding sentiment polarity from tourists' reviews, based on the Bidirectional Encoder Representation from Transformers (BERT) model. First, we design a text enhancement strategy which utilizes iterative translation across multiple languages, to generate a dataset of 4,000 reviews by extending a dataset of 2,000 online reviews on 1,000 tourist attractions. Then, the enhanced dataset is reorganized into 10 classifications by the Term Frequency-Inverse Document Frequency (TF-IDF) method. Finally, the aspect-based sentiment analysis is performed on the enhanced dataset, and the obtained sentiment polarity classification and prediction of the tourism review data make the expectations and appeals in tourists' language available. The experimental study generates generic and personalized recommendations for users based on the emotions in the language and helps merchants achieve more effective service and product upgrades.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Language interpretation in travel guidance platform: Text mining and sentiment analysis of TripAdvisor reviews

Miao

Chen²,

Yang³

et al. 2022

Front. Psychol.

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“…Reviews are a relevant source of data to study consumer behavior and museum consumer experience in particular, as UGC helps to assess consumer-driven evaluations to adjust their strategies (Dickinger & Lalicic, 2016). UGC in museums is considered a key feature of the consumer decision-making processes and can predict willingness to visit (Carvão, 2010; Nguyen & Tong, 2022). Most existent research on museums focuses on one or several museums, and a field for a broader study of the whole market is indicated (Del Chiappa et al, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

“…People are increasingly sharing information about their consumer experience and user-generated content (UGC) has become a major feature of the consumer purchasing decision-making processes (Carva ˜o, 2010). Passive access to travel-related UGC is a significant predictor of the desire to visit a destination (Nguyen & Tong, 2022). These facts allow us to claim that the study of user content gives us an understanding of consumer behavior and various ways to influence decision-making for museum managers.…”

Section: Introductionmentioning

confidence: 99%

From text to insights: understanding museum consumer behavior through text mining TripAdvisor reviews

Burkov¹,

Gorgadze²

2023

IJTC

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Purpose This study aims to determine consumer satisfaction dimensions that lead to a willingness to share positive emotions through the study of TripAdvisor users’ reviews on St. Petersburg museums. The explorative study reveals the most significant factors that could predict museum visitors’ behavioral intentions. Design/methodology/approach The study is based on the theory of planned behavior and the “cognitive-affective-conative” model to analyze TripAdvisor reviews (n = 23020) and understand the relationship between the affective and the conative components of consumer behavior. Quantitative text-mining analysis allowed us to view every lemma of every review as a single factor for a deeper understanding of the phenomenon. Findings The research has enlarged the literature on museum consumer behavior. Behavioral intentions of museum visitors are affected by satisfaction dimensions, especially emotions felt; the esthetic dimension and museums’ surroundings affect consumers’ overall willingness to share positive emotions, while bad service quality and pricing policy make a visit to the museums less satisfying. Practical implications Managers can enhance their offerings and attract new consumers by identifying the satisfaction dimensions that influence their intentions to share positive emotions. The research findings can aid museums, tour agencies and government officials in developing targeted products and strategies to meet consumers’ expectations and promote urban tourism. Originality/value The research identified the dimensions that influence visitors’ willingness to share positive emotions through user-generated content in the context of museums. The study applies quantitative text analysis based on logit regression, which is a novel approach in the field of urban tourism research.

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“…Ecotourism includes a considerable financial impact in today's advanced period (Salman et al, 2022;Gültekin, 2022). It produces business for the goal and gives the community an elective source of salary (Nguyen & Tong, 2022). They have monstrously benefits from ecotourism, but their viable execution is challenging due to the multistakeholder nearness in a range (Üllenberg et al, 2015).…”

Section: Ecotourism Development Policymentioning

confidence: 99%

Ecotourism Development Policy, Supporting Capacity and Development of Sustainable Tourism Facilities and Infrastructure in Raja Ampat Regency, West Papua Province

Tjilen¹,

Sahetapy²,

Tambaip³

et al. 2022

IJSOC

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The purpose of the research is to incite the awareness of the government and stakeholders on the environmental carrying capacity of the sustainable tourism sector and the supervision of the development of facilities and infrastructure that are environmentally sound and provide added economic value to the development of local communities. Qualitative research methods are used in data collection by conducting direct visits to research sites, direct interviews with the tourism office of Raja Ampat Regency, tourism management communities, tour guides and homestay managers with research locations on Misool Island, Salawati, Batanta, and Waigeo Raja Regency. Ampat. The study results explain that a marine tourism location is vulnerable to coral and environmental damage caused by overexploitation; it requires strict supervision and supervision from all parties as well as binding regulations so that the carrying capacity of Raja Ampat is well maintained and sustainable. The construction of facilities and infrastructure must be planned and supervised to achieve green development in determining tourist locations, homestay building locations, development processes and environmentally friendly materials. Communities need to be empowered with funding assistance and operational management training for marine tourism and homestay management, using local wisdom in maintaining ecotourism sustainability

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The impact of user-generated content on intention to select a travel destination

Cited by 37 publications

References 73 publications

Language interpretation in travel guidance platform: Text mining and sentiment analysis of TripAdvisor reviews

Language interpretation in travel guidance platform: Text mining and sentiment analysis of TripAdvisor reviews

From text to insights: understanding museum consumer behavior through text mining TripAdvisor reviews

Ecotourism Development Policy, Supporting Capacity and Development of Sustainable Tourism Facilities and Infrastructure in Raja Ampat Regency, West Papua Province

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