Why people conduct different sharing about their travel is unclear. Understudied areas include the roles of tourism activity type, tourist well-being, and social context. Under the framework of construal level theory, three studies which combined secondary data and experiments revealed that: 1) challenging (relaxing) tourism activities lead to more desirability (feasibility) sharing; 2) eudaimonia (hedonia) occupy the dominant position and mediate the relationship between challenging (relaxing) tourism activity and desirability (feasibility) sharing; and 3) social context induces the transformation of the relationship between eudaimonia and hedonia, and has a significant moderating impact on the mechanism of travel experience sharing type. Theoretical and managerial implications of travel experience sharing type and mutual transformation between eudaimonia and hedonia are discussed.
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While Augmented Reality (AR) is increasingly being implemented across a number of industry sectors, an open issue remains over the emotional as well as experiential impacts of this new technology within urban cultural heritage tourism. Therefore, the purpose of this study is to create a tourist experience model for AR tourism applications in the context of urban heritage tourism. The data were collected through five focus groups with a total of 49 participants. A theoretical tourist experience model was generated using Hassenzahl’s [(2003). The thing and I: understanding the relationship between user and product. In M. A. Blythe, K. Overbeeke, A. F. Monk & P. C. Wright (Eds.), Funology (pp. 31–42). Dordrecht: Kluwer Academic Publishers] model of user experience. Hassenzahl's (2003) model relies on the basic idea that product characteristics and features have an effect on the actual consequences. The data were analysed using thematic analysis in order to examine the alignment of themes according to previously identified themes from the literature as well as investigate new emergent themes from the focus groups. This study extends the theoretical aspect of the user experience model by Hassenzahl (2003) through empirical confirmation. The findings reveal that the user experience is formed by the correlation of product features and the perceptions and experiences of tourists. Due to the fact that successful implementation use cases of mobile AR applications is still limited, particularly within the tourism industry, the establishment of a comprehensive set of factors has been considered to be crucial for successful implementation.
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Emotions embody the value in tourism experiences and drive essential outcomes such as intent to recommend. Current models do not explain how the ebb and flow of emotional arousal during an experience relate to outcomes, however. We analyzed 15 participants’ experiences at the Vincentre museum and guided village tour in Nuenen, the Netherlands. This Vincent van Gogh-themed experience led to a wide range of intent to recommend and emotional arousal, measured as continuous phasic skin conductance, across participants and exhibits. Mixed-effects analyses modeled emotional arousal as a function of proximity to exhibits and intent to recommend. Experiences with the best outcomes featured moments of both high and low emotional arousal, not one continuous “high,” with more emotion during the middle of the experience. Tourist experience models should account for a complex relationship between emotions experienced and outcomes such as intent to recommend. Simply put, more emotion is not always better.
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The impacts of tourism on destinations and the perceptions of local communities have been a major concern both for the industry and research in the past decades. However, tourism planning has been mainly focused on traditions that promote the increase of tourism without taking under consideration the wellbeing of both residents and visitors. To develop a more sustainable tourism model, the inclusion of local residents in tourism decision-making is vital. However, this is not always possible due to structural, economic and socio-cultural restrictions that residents face resulting to their disempowerment. This study aims to explore and interpret the formal processes around tourism decision-making and community empowerment in urban settings. The research proposes a comparative study of three urban destinations in Europe (The Hague in the Netherlands, San Sebastian in Spain and, Ioannina in Greece) that experience similar degree of tourism growth. The proposed study will use a design-based approach in order to understand tourism decision-making and what empowers or disempowers community participation within the destinations. Based on the findings of primary and secondary data, a community empowerment model will be applied in one the destinations as a pilot for resident engagement in tourism planning. The evaluation of the pilot will allow for an optimized model to be created with implications for tourism planning at a local level that can contribute to sustainable destinations that safeguard the interests of local residents and tourists.
In this project we utilize the conversational model of delivering destination information as an experimental intervention to provide tips to a sub-group of visitor participants in one specific destination, Overijssel. By contrasting the experience of this group to a randomly assigned control group will be able to test the effectiveness of hyper-personalized information. Furthermore, we will investigate the effectiveness of integrating, in the tips provided, the policy of the DMO to direct visitors to certain places while reducing the pressure on others. For this variable as well––policy-driven vs. demand-driven information sources––random assignment to test and control groups will allow us to draw conclusions about causes of differences in tourist behavior and experience.The main question is: Does the conversational information model, as exemplified by Travel with Zoey, create the possibility to direct people to the places destination managers would like them to go, while assuring they benefit equally––or even more–from their travel experience? Partners: NBTC, Marketing Oost, Travel With Zoey.
We propose to do an experimental study in which we will use 360 video and still photo simulations that portray varying levels of crowding. Simulations will be presented to 25 student participants and 25 older adult participants (65+; a lucrative tourist segment) in an experimental setting while signals of their emotional responses are recorded from their brain (EEG) and body (skin conductivity and heart rate) at our Experience Measurement Lab. A questionnaire will measure their intent to recommend and their willingness to pay for the ‘experiences’ (simulations) they have viewed. Analyses will determine optimal levels of crowding for the quality of the tourist experience, but also for income at the destination, accounting for the fact that a more crowded destination features more potential sources of income (visitors), but each a (possibly) different level of willingness to pay, including potential implications for local tourist taxes. Models will also account for possibly different processes in the two different age groups. Furthermore, modelling word-of-mouth/mouse marketing based on intent to recommend will also make it possible to predict how crowding affects demand long-term. Partner: KU Leuven.
