Visualizing theme park visitors’ emotions using social media analytics and geospatial analytics

Despite the popular use of social media analytics to scrutinize customer emotions, less scholarly efforts have been invested in visualizing theme park visitors' emotions. Employing the convergence of social media analytics and geospatial analytics, this paper visualized cohesive places where Disneyland visitors express distinct types of emotion in social media messages. Among 226,946 collected tweets, this study used 19,809 tweets containing one or more emotion words listed in Russell's Circumplex Model of Affect. Text mining analysis and GIS-based exploratory spatial data analysis showed that tweets reflecting each quadrant of emotions have considerable spatial variations and different topics related to visitor emotions. The research approach enabled displaying particular spots in theme park zones and areas of riding attractions where emotions of each quadrant are significantly clustered. This study highlights methodological implications of visualizing spatial patterns of visitors' emotions and provides practitioners with a useful guide to develop routes evoking pleasant emotions.     

Social media micro-film marketing by Chinese destinations: The case of Shaoxing

Marketing destinations by micro-films via social media is becoming more popular among Chinese destinations. Little has been published about this phenomenon in the tourism literature. Using a netnographic case study from the city of Shaoxing, this research revealed the success factors for micro-film marketing by destinations. The research results showed that during the micro-film diffusion process, destination marketers were continuously and actively engaging with followers and online and offline marketing efforts were well planned and integrated. Attractions without uniqueness were impressive to viewers by being embodied in a romantic theme. Suggestions and implications for destination marketing are given.     

The ‘magic of filter’ effect: Examining value co-destruction of social media photos in destination marketing

Excessive filter processing of social media photos may cause viewers to question the authenticity of the photos. From the value co-destruction perspective, this research examines the effect of photo filtering on consumer perceptions. Study 1 ran content analysis of 2035 social media user posts and identified that destination marketing failure caused by filtered photos is a process involving tourists' negative emotions and multi-stakeholder (including platform, travel blogger, and destination) value co-destruction, represented by a chain relationship mechanism of “stimulation of filtered photos→ negative emotions of tourists→ failure of destination marketing.” Study 2 applied an experimental design and found that filtered photos have a significant effect on tourists' negative emotions, which play a complete mediating role in the relationship between filtered photos and value co-destruction of destination marketing. Additionally, the moderating effect of tourists’ aesthetic and authenticity pursuit in the influence mechanism was partially verified. Theoretical and practical implications are discussed.     

All hype or the real deal? Investigating user engagement with virtual influencers in tourism

Virtual influencer (VI) marketing has become increasingly prevalent on social media with the evolving landscape of digitalisation. However, the use of VIs in tourism has received limited attention in the literature. This study examines salient source and content attributes that stimulate Instagram users’ engagement with VIs in a tourism context. An online discrete choice experiment was designed using key attributes (i.e. source realness, image composition and caption discourse) identified from online focus groups. Survey responses from 309 adult Instagram users in Australia were analysed through discrete choice modelling. The findings indicate that humanlike VIs are preferred over 3D animated VIs and the least preferred influencers are 2D animated VIs. Instagram posts from humanlike VIs that combine images of tourism settings with rational messages attract the most engagement from the audience. Theoretical and practical implications are provided with recommendations for how tourism practitioners can harness VI marketing effectively.     

The antecedents of hashtag and geotag use in smart tourism: case study in Indonesia

ABSTRACT

This study aims to determine what factors that motivate users to use the hashtag and geotag features on Instagram while traveling. It also seeks to determine the relationship between using Instagram features, traveling experience, expectation, confirmation, and satisfaction on traveling journeys. This study collected data from 606 Indonesian travelers. Then, the data analysed using covariance-based structural equation modelling. Results show that the use of hashtags and geotags during traveling improve their satisfaction. Additionally, information seeking, chronicling, and etiquette are found to be influencing hashtag use. Meanwhile, geotag use are influenced by geotag enjoyment and anticipated rewards.