Destination image analytics through traveller-generated content

The explosion of content generated by users, in parallel with the spectacular growth of social media and the proliferation of mobile devices, is causing a paradigm shift in research. Surveys or interviews are no longer necessary to obtain users' opinions, because researchers can get this information freely on social media. In the field of tourism, online travel reviews (OTRs) hosted on travel-related websites stand out. The objective of this article is to demonstrate the usefulness of OTRs to analyse the image of a tourist destination. For this, a theoretical and methodological framework is defined, as well as metrics that allow for measuring different aspects (designative, appraisive and prescriptive) of the tourist image. The model is applied to the region of Attica (Greece) through a random sample of 300,000 TripAdvisor OTRs about attractions, activities, restaurants and hotels written in English between 2013 and 2018. The results show trends, preferences, assessments, and opinions from the demand side, which can be useful for destination managers in optimising the distribution of available resources and promoting sustainability

Critical review of strategic planning research in hospitality and tourism

Strategic planning remains one of the most popular management tools, but theoretical and empirical developments in the academic literature have been a slow burn. This paper addresses this gap and provides an up-to-date review of hospitality and tourism strategic planning research. We review strategic planning research from 1995 to 2013 in seven leading tourism academic journals, and adopt a modern and broad conceptualization of strategic planning. While there is some awareness of effective tourism strategic planning processes, academic research has not kept pace with practice. To stimulate a resurgence of research interest, we provide future research directions. We observe a methodological introspection and present some new research methodologies, which are critically important in researching the turbulent, chaotic and nonlinear tourism environment

Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain.

Based on its advanced computing capabilities and ubiquity, the smartphone has rapidly been adopted as a tourism travel tool.With a growing number of users and a wide varietyof applications emerging, the smartphone is fundamentally altering our current use and understanding of the transport network and tourism travel. Based on a review of smartphone apps, this article evaluates the current functionalities used in the domestic tourism travel domain and highlights where the next major developments lie. Then, at a more conceptual level, the article analyses how the smartphone mediates tourism travel and the role it might play in more collaborative and dynamic travel decisions to facilitate sustainable travel. Some emerging research challenges are discussed

The Psychographic and Behavioural Descriptors of Ecotourists at Capricorn District Municipality: Segmentation Study

The investigation was carried out in the Capricorn District Municipality which has various ecotourism attractions in South Africa. The aim of the study was to identify the psychographic and behavioural descriptors of ecotourists within the district. Ecotourism service providers worldwide are confronted by the demands of the dynamic traveller. As such market segments need to be identified that can be satisfied by different marketing strategies with different products and services. This requires the incorporation of observable and unobservable classification which this study is established on. Factor analysis was employed in the study to determine the common preferences among ecotourists while cluster analysis was utilised to determine segments based on behavioural indices with ANOVA tests confirming the significance of the identified descriptors. Results revealed social action and nature-based escaped on preferred activities whereas, on underlying travel preferences, companionship, destination qualities, enriching and learning experiences, conservationist and relaxation were identified. Therefore, Entrepreneurs and marketing strategists should understand the current trends regarding ecotourists whilst tourism destination developers should easily align their plans with the present ecotourism trend. The market intelligence communicated by this study is invaluable to the district municipality’s aim. The aim of becoming the best preferred ecotourism destination in the country will become a reality if such knowledge is applied

An Agent-Based Decision Support Model for the Development of E-Services in the Tourist Sector

This paper regards cultural heritage as a strategic development tool for urban tourist policy. It highlights the use of e-services as a central instrument in a competitive tourist sector. The appropriate choice of e-services - and packages thereof - depends on the various strategic considerations of urban stakeholders (agents) and may differ for each individual city. The paper offers a systematic analysis framework for supporting these choices and deploys multi-criteria analysis as a systematic evaluation methodology, in particular the Regime method. The evaluation framework is exemplified through an application to three field cases in Europe, viz. the cities of Amsterdam, Genoa and Leipzig. Our analysis concludes that tailor-made packages of e-services that serve the needs of the stakeholders can be made with the help of our evaluation tools.cultural heritage, e-services, city marketing, agent-based decision support model

Como consomem os turistas um destino de enoturismo no Centro de Portugal? Uma análise espaciotemporal

Space-time tourist behaviour is influenced by numerous factors related both to tourists and the destination. Yet, however complex it may be, understanding and to some extent managing the way tourists move in space and time is crucial to ensuring the quality of their experience, as well as the effective and sustainable management of destinations and attractions. In the rural wine tourism context, studies on space-time behaviour are rare. The present study uses empirical data collected from tourists staying in hotels of the Bairrada Wine Route territory (N = 116), combining a GPS tracking study with a questionnaire survey. Using a time-geographical analytical approach, the GPS tracking data were mapped for a more detailed analysis of the tourists’ movements in the Bairrada terroir. The findings highlight specificities of tourist consumption in the context of rural wine regions and provide valuable insights for destination planning, service design and marketing of the Bairrada Wine Route.O comportamento turístico espaciotemporal é influenciado por diversos fatores relacionados tanto com os turistas como com o destino. No entanto, por complexo que seja, compreender e, em certa medida, gerir a forma como os turistas se movem no espaço e no tempo é crucial para assegurar a qualidade da sua experiência, bem como a gestão eficaz e sustentável de destinos e atrações. No contexto do enoturismo, são raros os estudos sobre o comportamento espaciotemporal. O presente estudo utiliza dados empíricos recolhidos junto de turistas alojados em hotéis do território da Rota do Vinho da Bairrada (N= 116), combinando um estudo de rastreamento por GPS com um inquérito por questionário. Utilizando uma perspetiva temporal de análise, os dados de rastreamento por GPS foram mapeados para o estudo mais aprofundado dos movimentos dos turistas no terroir da Bairrada. Os resultados destacam as especificidades do consumo turístico no contexto das regiões vitivinícolas e fornecem informações relevantes para o planeamento do destino, conceção do serviço e marketing da Rota do Vinho da Bairrada.info:eu-repo/semantics/publishedVersio

A Big Data Analytics Method for Tourist Behaviour Analysis

© 2016 Elsevier B.V. Big data generated across social media sites have created numerous opportunities for bringing more insights to decision-makers. Few studies on big data analytics, however, have demonstrated the support for strategic decision-making. Moreover, a formal method for analysing social media-generated big data for decision support is yet to be developed, particularly in the tourism sector. Using a design science research approach, this study aims to design and evaluate a ‘big data analytics’ method to support strategic decision-making in tourism destination management. Using geotagged photos uploaded by tourists to the photo-sharing social media site, Flickr, the applicability of the method in assisting destination management organisations to analyse and predict tourist behavioural patterns at specific destinations is shown, using Melbourne, Australia, as a representative case. Utility was confirmed using both another destination and directly with stakeholder audiences. The developed artefact demonstrates a method for analysing unstructured big data to enhance strategic decision making within a real problem domain. The proposed method is generic, and its applicability to other big data streams is discussed

A Big Data Analytics Method for Tourist Behaviour Analysis

© 2016 Elsevier B.V. Big data generated across social media sites have created numerous opportunities for bringing more insights to decision-makers. Few studies on big data analytics, however, have demonstrated the support for strategic decision-making. Moreover, a formal method for analysing social media-generated big data for decision support is yet to be developed, particularly in the tourism sector. Using a design science research approach, this study aims to design and evaluate a ‘big data analytics’ method to support strategic decision-making in tourism destination management. Using geotagged photos uploaded by tourists to the photo-sharing social media site, Flickr, the applicability of the method in assisting destination management organisations to analyse and predict tourist behavioural patterns at specific destinations is shown, using Melbourne, Australia, as a representative case. Utility was confirmed using both another destination and directly with stakeholder audiences. The developed artefact demonstrates a method for analysing unstructured big data to enhance strategic decision making within a real problem domain. The proposed method is generic, and its applicability to other big data streams is discussed

Progress on outbound tourism expenditure research: A review

This study aims to identify how the paradigm of outbound tourism expenditure (OTE) research transforms from economic to social concern. It also explicates the evolution of OTE from an advocacy platform to a sustainability platform. This study adopts a hybrid of narrative and systematic reviews to study OTE as a complex social phenomenon. This hybrid review is complemented by a thematic review and semantic network analysis on gaps and future directions of relevant studies. The results reveal that the paradigm of OTE research is directed from economic toward social thinking. This study proposes an application of socially related antecedent configurations, social theories, pragmatic methods, and various scales of study contexts as promising solutions to address the complexity and heterogeneity of OTE. The study concludes that the conceptual structure of OTE is premised on a sustainability platform, which is influenced by socio-cultural, environmental, economic, and political issues. This study provides a road map that enlightens the current state of OTE, prevailing topics, and pathways for further research