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This paper aims to explore the causal relationship of user-generated content (UGC) on trust in UGC (TUGC), destination image (DI) and tourist visit intention (VI) guided by the stimulus-organism-response (SOR) theory. This work further examined the mediating effect of TUGC and DI between UGC and VI.

Data were collected through online and personal-administered surveys and randomized sampling. This work employed partial least squares structural equation modeling (PLS-SEM) to test the proposed model empirically.

In line with the SOR Theory, this work found UGCs that induce positive emotions and connection to the users motivate VI rather than UGCs that are predominantly factual. Furthermore, UGCs are considered reliable, authentic and less biased than brand-generated content. The findings of this work contribute to the theoretical understanding of UGC to VI in a destination.

This work proposes that destination marketers prioritize UGC that evokes positive emotions and connections with users, as it is more effective in encouraging VI. Strategies such as incentivizing content creators, improving online presence and engaging influencers can maximize UGC. Enhancing online traffic quality, visibility and interaction and implementing content policies are crucial for UGC's effectiveness. Marketers should align destination products with tourists' interests and collaborate with influencers for affiliate marketing to increase tourist-generated UGC. Furthermore, improved connectivity encourages UGCs about the destination.

In tourism marketing, UGC has become a valuable information source for tourists in making informed travel decisions. UGC is a tourist-generated content that offers factual information and authentic experiences through images, videos or text posted through social media platforms. UGC is considered more reputable than travel firms and the mainstream media as an information source. Due to the limited works on UGC in the literature, the influence of UGC on tourists' VIs has remained unexplored at the time of writing. This work bridges this gap by empirically examining the impact of UGC on Gen Z tourists' VI guided by the SOR theory.

Short-form videos have gradually become important marketing tools for tourist destinations. However, chaotic sources and homogenized content have led to poor user experiences. Taking Kulangsu and Xi'an City Wall in China as examples, this study explored the influence of matching short-form video sources with destination types on user engagement and visit intention.

This study selected three short-form videos from different sources for each destination on TikTok and conducted an empirical research using a 3 × 2 experimental design to examine the proposed research model.

The results showed that the matching effect between short-form video sources and destination types will positively affect user engagement and visit intention. (1) the short-form videos with user-generated content (UGC) or professional user-generated content (PUGC) in hedonic destinations can obtain higher user engagement and visit intention; (2) the short-form videos with professionally generated content (PGC) or PUGC in utilitarian destinations can obtain higher user engagement and visit intention and (3) perceived credibility and perceived usefulness played mediating roles in these interactions.

This study considers short-form video sources as antecedent variables influencing user engagement and visit intention and confirms the matching effect between short-form video sources and tourism destination types. The findings will help researchers and marketers better understand the impact of short-form video on destination marketing.

When a concept is diffusely defined or, as this article argues, “taken for granted”, it becomes very difficult to track such concept on the literature and have some continuity as researchers build on top of previous results. This article proposes a definition for user-generated content, a term that though has lost some saliency, stands in the center or the social media phenomenon, so it should not be disregarded as an object of study.

Celebrating 20 years of the concept, this research performs a multidisciplinary literature review of 61 academic articles on UGC. Through deconstruction of the acronym UGC, it builds on the present converging, conflicting and diverging definitions and/or approaches to UGC on an attempt to consolidate a broader definition that encompasses the complexities of the phenomenon in a context of consolidation of social media, to be applied to social sciences.

Following the present analysis, UGC is defined as any kind of text, data or action performed by online digital systems users, published and disseminated by the same user through independent channels, that incur an expressive or communicative effect either on an individual manner or combined with other contributions from the same or other sources.

This is the first academic effort that aims to create an in-depth dialogue over the different approaches to UGC across disciplines on the social sciences field. It should help reignite interest in the acronym, which got somehow eclipsed by the broader field of social media; whilst without UGC, social media would not exist or would not have the same social impact it does in its current form. Analogously, UGC as a topic of research has been deeply affected by the emergence and consolidation of Social Media. As this debate evolves, this contribution should be helpful as a reference to operationalize UGC on future research.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0258

Past research often relies on linear relationship assumptions from the perspective of managers when studying the relationship between attribute performance and satisfaction. However, this study extracts tourists’ online reviews to explore asymmetric relationships and identifies island tourism satisfiers, hybrids and dissatisfiers.

The research uses 3,523 reviews from Tripadvisor to examine Langkawi Island’s tourist satisfaction. Latent Dirichlet allocation (LDA) machine-learning approach, penalty–reward contrast analysis and asymmetric impact-performance analysis (AIPA) were employed to extract and analyse the data.

Langkawi’s dissatisfiers included “hotel and restaurant”, “beach leisure”, “water sport”, “snorkelling”, “commanding view”, “waterfall”, “sky bridge walk”, “animal show”, “animal feeding”, “history culture”, “village activity” and “duty-free mall”. Amongst these, five were low performers. Hybrids encompassed “ticket purchasing”, “amenity” “traditional food market” and “gift and souvenir”, all of which were low performers. Only one attribute was categorised as a satisfier: “nature view” which performed exceptionally well.

This study provides recommendations to enhance tourist satisfaction and address tourist dissatisfaction. The elements requiring immediate attention for enhancement are the five low-performance dissatisfiers, as they represent tourists’ fundamental expectations. Conversely, the satisfier or excitement factor (i.e. nature views – mangroves and wildlife) could be prominently featured in promotional materials.

This research constitutes an early endeavour to categorise attributes of island tourism into groups of satisfaction, hybrid or dissatisfaction based on user-generated data. It is underpinned by two-factor and three-factor theories.

This study aims to investigate the mediating role of attachment to social media influencer between authenticity and enjoyment and then travel intention while watching social media influencer video.

This study used the survey approach to collect responses from respondents who have watched the social media influencer video. Partial least squares structural equation modeling technique was applied for the data analysis.

The results indicated that authenticities positively impact tourist attachment to social media influencer, enjoyment and hence visit intention. Attachment to social media influencer mediates the relationships between authenticities and enjoyment.

This study proposes and examines the role of attachment to social media influencers as a mediator between authenticities and tourist responses, which provided meaningful theoretical and practical insights for the future research on social media influencers.

本研究旨在调查网络红人依赖在真实性和享受之间的中介作用, 以及在观看网络红人视频时的旅行意愿。

本研究采用问卷调查方法, 收集观看网络红人视频的受访者的回答, 使用PLS结构方程模型技术进行数据分析。

结果表明, 真实性对游客对网络红人的依赖、享受和参观意愿具有积极影响。网络红人依赖在真实性和享受之间起到中介作用。

本研究提出并检验了网络红人依赖作为真实性和游客反应之间的中介角色, 为未来关于网络红人的研究提供了有意义的理论和实践基础。

This paper analyses the interrelationships between emotions, the cognitive information cues of online reviews and intention to follow the advice obtained from digital platforms, paying special attention to the moderating effect of the sequencing of review valence.

The data were collected from 830 Spanish Tripadvisor users. In a two-step approach, a measurement model was estimated and a structural model analysed to test the proposed hypotheses. SmartPLS 3.0 software was used. The moderating effect of sequencing of reviews is tested.

The data analysis showed a bias effect of review sequence on the impact of online information cues and emotions on intention to follow advice obtained from Tripadvisor. When the online reviews of a restaurant begin with positive commentaries, their perceived persuasiveness is a stronger driver of the pleasure and arousal elicited by online reviews than when they begin with negative reviews. On the other hand, the perceived helpfulness of online reviews only triggers arousal when the user reads negative, followed by positive, comments. The impact of pleasure on intention to follow the advice provided in an online travel community is higher with positive-negative than with negative-positive sequences.

While researchers have demonstrated the benefits of customer reviews on company sales, a largely uninvestigated issue is the interplay between emotions and cognitive information cues in the processing of online reviews. This is one of the first studies to examine the moderating effect of conflicting reviews on the impact of emotions and cognitive information cues on consumer intention to follow the advice obtained from digital services.

The emergence of peer-to-peer accommodation (P2PA) introduces new values and meanings to the hospitality experience. Focusing on the diverse dimensions of the tourist experience, the purpose of this paper is to identify and assess the relative importance of the main dimensions of guests’ P2PA experience and its relationships with perception of authenticity, place attachment and loyalty to both the visited destination and the P2PA.

A qualitative netnographic approach with content analysis permitted the analysis of 250 reviews taken from the Airbnb platform, specifically focusing on P2PAs where guests stay with hosts in the same space.

The results of the study suggest that guests’ P2PA experiences are particularly influenced by the experience dimensions “aesthetic/sense”, “relate/social interaction”, “escape”, “act” and “feel”. P2PA experiences also result in loyalty intentions, to both the visited destination and the particular P2PA. The dimensions “aesthetic/sense”, “relate/social interaction” and “escape” stand out as most influential in determining perceived authenticity. In turn, place attachment is most influenced by the dimensions “feel” and “relate/social interaction”.

Limitations of this research need to be acknowledged: the P2PA guest experience is explored from the restricted perspective of online reviews using passive netnography. Therefore, some criteria of data collection, for instance, gathering only reviews written in English and with more than 80 words, may be limitative in a more comprehensive assessment of the P2PA experience. Another point is, although P2PA platforms such as Airbnb encourage their guests to review the experience, some people are not inclined to do so; therefore, the published reviews may not reflect all possible experiences at these accommodations inclined to do so; therefore, the published reviews may not reflect all possible experiences at these accommodations.

This study suggests a comprehensive analytical framework for assessing the “holistic multidimensional tourist experience”, integrating Pine and Gilmore’s (1999) and Schmitt’s (1999) approaches, thus deepening the conceptual and methodological debate on the tourist experience. It further contributes to a better understanding of the dimensionality of the tourist experience in the context of shared accommodation. The dimensions under analysis and their association with perceived authenticity, loyalty and place attachment are both of theoretical and practical interest, suggesting approaches to improve the P2PA experience as well as the image and success of the destinations where these units are located.

This study utilised Mehrabian and Russel's stimulus-organism-response (SOR) model to investigate the inter-relationship between perceived social media information qualities (IQ) of online UGC, destination image, perceived travel risk and behavioural intentions.

A total of 255 responses from international tourists were collected. The data collection via an online survey was performed from October 2020 to February 2021. The study model and hypotheses were examined using partial least squares-structural equation modelling (PLS-SEM).

The result indicated that social media intrinsic, representational, and social IQ significantly influenced tourists perceived cognitive image, while only contextual and social IQ significantly predicted the perceived affective image. This study also confirms the significant effect of cognitive image on the affective image. In addition, the authors found that both destination image components, cognitive and affective, significantly affect tourists' behavioural intentions. However, surprisingly, tourists' perceived travel risk did not moderate the effect of destination image components on behavioural intentions.

This study contributes to the body of knowledge by extending Mehrabian and Russel's SOR model in the tourism behaviour context.

From a practical perspective, this study proves that UGC significantly affects destination image and plays an integral part in luring tourists to visit a destination.

Previous research in this area is limited, making this study particularly novel. This study represents one of the initial attempts to evaluate the dimensions of information quality in UGC on social media and online review platforms, particularly within the field of tourism. Treating online travel UGC seriously could assist organisations in leveraging tourist behaviour and enhancing destination image.

This study aims to contribute perspective into how user-generated content (UGC) can be found to reinforce, or challenge, the commercial promotion of volunteer tourism in Nepal. Volunteer tourism is an expanding alternative niche market spanning the globe. More understanding is needed to identify potential conflicts that may arise in relation to information communicated via official promotional materials from volunteer tourism organisation websites and from UGC on sites such as TripAdvisor.

A qualitative content analysis of websites and online UGC gathered from identified promotional websites and TripAdvisor used to inform and persuade tourists was analysed.

Three themes emerged from the analysis of promotional websites: perspective outcomes of volunteerism on locals and VolunTourists, requirements of participating volunteers and the ability of volunteer organisations to effectively meet expectations. The TripAdvisor forum content is broken down into two main areas: requests/recommendations and critical reflections. UGC is playing a pivotal role to inform future VolunTourists, based on experiences by previous volunteers. Commercial websites emphasise achievable positive outcomes by unskilled/unqualified volunteers, with the support of credible volunteer organisations. Conversely, UGC focusses on negative outcomes associated with volunteer tourism.

This study provides insights into how online platforms are being used by consumers. This study suggests that significant disparities exist between content communicated via promotional websites and UGC, with a number of important implications discussed.

This study aims to address this gap in the understanding of the authors through the analysis of emerged themes communicated via Nepal volunteer websites and TripAdvisor forums. Moreover, there is a need for volunteers to be more informed about the complexities of the industry and volunteer organisations, acknowledging more needs to be considered to meet the requirements/expectations of volunteers.

Social media use has increased in recent years, and businesses are looking to capitalize on the plethora of marketing opportunities afforded by this digital shift by paying attention to user-generated content (UGC) posted on review websites. Leveraging UGC can help small businesses gain a competitive advantage over late-adopters. At the same time, there is evidence to suggest that small businesses do not have the time, resources or skill level to properly use social media to create a competitive advantage. This paper aims to explore how wine tourism businesses can analyze consumer feedback on online review websites to evaluate customer perceptions and expectations and generate more effective ways to improve customer satisfaction.

The qualitative method of thematic analysis was used to map out consumer reviews online to assess service satisfaction and dissatisfaction. A total of 848 reviews were gathered and qualitatively analyzed from two online review websites (TripAdvisor.com and Yelp.com) using open and axial coding and thematic analysis.

The results show that wine consumers are interested in the hedonic aspects of their experience, are most often attracted to wineries as a special outing and focus on factors such as scenery and atmosphere, service quality and products in their reviews. Hence, service and sales personnel have a key opportunity to capitalize on generating better service experiences through social media analysis.

The present study fills a gap by providing a more in-depth, qualitative exploration of the wine consumers’ psychology and experience, including factors such as atmosphere and special occasions. Furthermore, this study uses interpretive, manual coding to pick up on nuanced themes that are often missed by using automated qualitative analysis software or by looking at frequency counts in isolation.