A destination imagery processing model: Structural differences between dream and favourite destinations

The present paper aims at understanding how destination imagery is processed in tourists’ working memory. The research focuses on two highly desirable, but contrasting, destination brand categories: Favourite Destination, which involves retrospective memory of positive experiences in situ; and Dream Destination, based on tourists’ prospective memory. Through an online multilingual survey, 23,446 responses consisting of perceptions, evoked by way of free-recall, associated to Dream and Favourite Destinations, were collected. Findings point to clear structural differences between the imagery of Dream and Favourite Destinations. Additionally, a theoretical destination imagery model that offers a basis for future studies is proposed, and some managerial implications of significant relevance to destination marketing are discussed.     

“Sensing” the destination: Development of the destination sensescape index

Despite the increasing academic interest in the sensory dimension of the tourist experience, the quantitative empirical research in the field is limited by a lack of measurement instruments for evaluating the sensory stimuli perceived by tourists during a destination visit. The study addresses this gap by developing a composite index to assess the sensory destination panorama, termed as “destination sensescape”. The construct is conceptualised as a formative multidimensional variable with 5 dimensions (visualscape, smellscape, tastescape, soundscape, and hapticscape). The psychometric validity and reliability of the 17 items integrating the formative index were established by a rigorous multi-step procedure based on three empirical studies. The instrument was tested with data collected from visitors of a Mediterranean urban destination. The operationalisation of the destination sensescape construct not only paves the way for future quantitative sensory studies, but also yields a useful tool for Destination Marketing Organisations (DMOs).     

Linking the dots among destination images,place attachment,and revisit intentions: A study among British and Russian tourists

Limited evidence suggests that the incorporation of both image components (cognitive, affective, and conative) and holistic image is meaningful for predicting tourists' revisit intentions. Extending this line of research, the present study aims to unravel the relative influence that each component of image has directly and indirectly, via holistic image, on revisit intentions. In doing so, we incorporate two national samples (British and Russians) of diverse tourist profile and significantly different levels of visitation frequency to investigate place attachment as a moderator. Evidence from 1362 British and 1164 Russian tourists indicated that all image components have a positive indirect effect on revisit intention via holistic image, while conative has also a direct one. As expected, the image components rank differently for British and Russian tourists. The indirect effects of destination images on revisit intention, except conative, are conditional and, interestingly, most of these are stronger for tourists with low PA.     

An application of network analysis on tourist attractions: The case of Xinjiang,China

This study constitutes a novel application of network analysis to explore the underlying mechanisms of tourist attraction network informed by tourist flows. Using survey data collected from a sample of 456 tourists visiting Xinjiang, China, the study applies the Quadratic Assignment Procedure (QAP) to test the relationships between region proximity, grade proximity, and tenure proximity, and the attraction network determined by tourists' free choice movements. Results show that while region proximity and tenure proximity among major attractions in a destination were positively related to attraction network, grade proximity was negatively related to the attraction network, indicating that same grade attractions were mostly competing with one another for tourists. The study contributes to the methodological development of social network analysis in tourism and advances understanding of demand-driven network relationships among tourist attractions in a destination. Destination management implications are discussed.     

Passenger recovery after an airport closure at tourist destinations: A case study of Palma de Mallorca airport

In the context of increased concern about the resilience of critical transport infrastructure to external events and the impact of such events on local tourism industries, this paper analyzes the ability of tourism-oriented airports to relocate departing passengers in the event of an unexpected airport closure. A case study of Palma de Mallorca airport is presented. Using an MIDT dataset on passenger itineraries in August 2014, several closure scenarios are simulated, and disrupted passengers are relocated to minimum-delay itineraries. Aggregate delays and relocation rates are used to assess the impact of each scenario, with a particular focus on UK and Germany markets. The results provide useful benchmarks for the development of policies aimed at minimizing the impact on stranded tourists, such as allowing for passenger connections, establishing a protocol for interline cooperation, and improving intermodal transfers. These measures will help mitigate the negative impacts on airline loyalty and destination image.     

The antecedents of memorable tourism experiences: The development of a scale to measure the destination attributes associated with memorable experiences

Providing visitors with memorable tourism experiences (MTEs) is important for achieving success in the highly competitive tourism marketplace. To support destination managers, this paper developed a scale instrument that conceptualizes the attributes of destinations associated with MTEs. Following a rigorous scale development procedure, this study identified a 10-dimensional construct that affects MTEs. The data support this dimensional structure of the attributes of destinations affecting MTEs and the internal consistency and the validity (i.e., content, construct, convergent, and discriminant) of the scale. The theoretical and managerial implications of the study's results are discussed.     

Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice

Venice is one of the most popular tourist destinations in the world. In Venice, as in other middle-sized heritage European cities, strong tourism pressure is trapping the city in a vicious circle that is eroding the quality of its tourism attractions. This development is related to the growing numbers of excursionists who lack the time to make informed decisions about the quality of goods. Consequently, suppliers reduce the quality of their offerings and instead focus on market share. Consumer-generated media (CGM) may help resist this development by providing excursionists with aggregated, up-to-date information on the quality of tourism offerings as perceived by customers. In this paper, we investigate the efficiency of TripAdvisor in helping tourists to make informed decisions and in increasing the popularity of restaurants offering a higher expected quality. Our findings suggest that, although TripAdvisor's algorithm is designed to reward quality, it does not adequately meet these goals.     

Network,knowledge and relationship impacts on innovation in tourism destinations

We combine network structure and firm-level relationship measures to explore the association between innovative behavior, firm position within the network of a destination, and the knowledge and relational trust characteristics of a firm's innovation-oriented relationships. We find current collaboration, shared knowledge and trust are associated with innovative behavior with partner firms, but that betweenness centrality indicates which partners are the most prominent innovators in a population. That is, relationship-level characteristics facilitate innovation partnerships, but network structure characteristics identify the most successful innovative partners. To theory, our findings contribute to efforts in the tourism, innovation and network literature to evaluate the differential effects of knowledge stocks and flows on innovation. For practice, our results suggest that promoters of innovation within a destination should leverage brokerage positions to improve the in-flow of ideas while encouraging the firms that share knowledge and trust to collaborate to apply those ideas.     

The antecedents of digital collaboration through an enhanced digital platform for destination management: A micro-DMO perspective

While the tourism sector shifts towards digital transformation, Destination Management Organisations (DMOs) often struggle to adapt to their changing technological environment. This study explores the antecedents of digital collaboration and develops a framework for micro-DMOs to enhance effective destination management through digital technologies. An integrated sequential qualitative approach was adopted by conducting multi-phase interviews, in addition to designing and trialling a real-world trial digital platform. The research provides empirical evidence that digital collaboration is essential for micro-DMOs, necessitating them to transform their current “websites” into digital platforms which act as a hub for business stakeholders to actively be involved in. Antecedents of successful digital collaboration include mutuality, trust, control, and leadership which may be manifested differently from non-digital collaboration. Additionally, the study identifies three aspects for digital collaboration; marketing, networking and knowledge sharing that demands specific attention. Our results have theoretical, methodological, and practical implications for academia, industry and policymakers.     

Travel deterrents to regional destinations

Travel motivation is prevalent in the tourism literature. Very few studies however have examined travel deterrents to visiting popular destinations. This study approaches from travel motivation understand why tourists do not visit regional destinations and from tourists’ background to identify who do not visit these destinations with a focus on well-known regional destinations in Australia. The results show that convenience to the destinations, timing, motivation and tourist attractions are the major deterrents, and the level of these deterrents is dependent upon some of the demographic background of tourists. The findings and implications conclude this paper.