To stay within the safe boundaries of global warming, the world now has 30 years to decarbonize its economy. This represents a very significant challenge for tourism as a growth system. Much ...attention has been paid to different tourism subsectors such as aviation, accommodation, and activities to reduce emissions, mostly on the basis of (future) technology. However, the Paris Agreement demands immediate action and significant year-on-year progress on a zero-carbon trajectory. This article discusses destination management under the new low-carbon imperative. It analyses challenges, including economic viability and resilience, that have also gained importance in light of the COVID-19 pandemic, and explores opportunities for better profitability on the basis of a leakage/spending value dichotomy proposition. The final section highlights the foremost role that destination managers must play in building prosperous and resilient low-carbon tourism destination systems and discusses the key insights for destination managers.
The current study develops a theoretical model of the effect of memorable tourism experiences (MTEs) on behavioral intentions by examining the structural relationships between destination image (DI), ...tourist satisfaction, revisit intention, and word-of-mouth (WOM) publicity. The results show that MTEs influence future behavioral intentions both directly and indirectly through DI and tourist satisfaction. Moreover, MTEs are found to be the most influential determinant of behavioral intentions. Thus, the results challenge those practitioners and researchers who perceive visitor satisfaction to be the most important indicator of destination performance. Theoretical and managerial implications are discussed based on the study results, and directions for future research are provided.
This paper presents the results of a review of the literature concerning post-disaster and post-crisis recovery for tourist destinations. A total of 64 articles on this topic published in ...peer-reviewed tourism journals between January 2000 and June 2012 were included in the review. These articles were written on a number of different disaster contexts, including weather-related events (floods and hurricanes), natural disasters (earthquakes and tsunami) and other events (such as pandemics and terrorist attacks). The key themes that emerged included a lack of communication between stakeholders, media sensationalism, the importance of selecting the most effective marketing messages, lack of disaster-management plans, damage to destination image and reputation, and the changes in tourist behaviour following crises and disasters. The review identifies ways to improve the speed and effectiveness of response to disaster, the importance of relationship marketing with loyal customers and the need to quickly repair destination image. Suggestions for future research arising from this review include the urgent need to encourage tourism operators to engage with crisis preparedness and disaster-management strategies and the importance of gaining a better understanding of the consumer response to disastrous events.
The paper discusses the impact of the COVID-19 pandemic on rural tourism in Czechia. It points out that the catastrophic scenarios of the decline in tourism mainly concern urban destinations focused ...on foreign tourism. In contrast, rural destinations create an alternative. Some of them have even shown an increase in tourism in the 2020 summer season as compared to 2019. However, this new orientation requires investing in infrastructure, marketing and regional cooperation.
Highlights
Paper investigates the impact of the COVID-19 pandemic on rural tourism in Czechia.
The decline in tourism mainly affected destinations focused on foreign tourists.
Czech countryside gained domestic tourists due to natural, gastronomic and local attractions.
The specificity of COVID 19 new outbreaks is its local or regional limitation.
The COVID-19 epidemy has created an opportunity for the development of rural tourism.
•This paper introduces a big data analytics solution for destination management organization’s decision support.•The design artefact is specified as a ‘method’ to analyse the social media data to ...support strategic decision-making in tourism.•Proposed solution method has the capability to provide insight of tourist’s behavioural patterns at destinations.•The capability of the solution method is demonstrated in a case study of inbound tourists to Melbourne, Australia.
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.
Destination management organizations (DMOs) increase cooperation and coordination among stakeholders and contribute to the competitiveness of the destination. The purpose of this study is to develop ...a destination management model for Cappadocia that could make Cappadocia's tourism more sustainable and competitive. By developing a procedure that could also be used for similar tourism destinations, it is also aimed to propose a study model. Interviews were conducted with stakeholders to identify the problems in Cappadocia's tourism and solutions for these problems were suggested. These interviews were content-analyzed. The main challenges are related to infrastructure, superstructure, accessibility, human resources, facilities, sustainability and environment, and image. A well-established DMO could help the destination to become more competitive while also improving sustainability and eliminating or minimizing current and potential problems. Cooperation and coordination are highlighted as the most important functions due to the presence of several institutions related to tourism management in Cappadocia.
•This research analyzes Cappadocia’s challenges and potential based on stakeholders’ views and tourism theory and practice.•A destination development model is proposed in addition to some general recommendations for the destination.•The DMOs' roles are highlighted in the case of a destination with cultural and natural heritage.•It aims to contribute by examining Cappadocia and developing a procedure to analyze similar destinations or develop a DMO.
The impact of information and communication technologies (ICTs) on tourism and their foreseeable future evolution seem to be shaping a new scenario for destination management. This new context has ...given rise to the need for new management models. One of these models is the emerging smart tourism destination (STD), although it requires greater conceptual precision in order to become a new paradigm for destination management. This paper proposes a systemic model for STDs which facilitates the interpretation of the role of ICTs in the management of tourism destinations. Accordingly, the Delphi technique has been applied so as to determine the opinion of experts regarding the feasibility of the STD approach, its advantages and limitations and also the size of the impact of ICTs on the management and marketing of tourism destinations. This prospective exercise highlights the intensification of the impact of ICTs over the coming years which will shape a new scenario for management characterised by technology and data management. However, the efficiency of the STD approach will not depend exclusively only on technology but also on an appropriate governance of the destination that systematically incorporates the three levels of the STD, namely the strategic-relational, instrumental and applied levels.
In less than two years, the concept of overtourism has come to prominence as one of the most discussed issues with regards to tourism in popular media and, increasingly, academia. In spite of its ...popularity, the term is still not clearly delineated and remains open to multiple interpretations. The current paper aims to provide more clarity with regard to what overtourism entails by placing the concept in a historical context and presenting results from a qualitative investigation among 80 stakeholders in 13 European cities. Results highlight that overtourism describes an issue that is multidimensional and complex. Not only are the issues caused by tourism and nontourism stakeholders, but they should also be viewed in the context of wider societal and city developments. The article concludes by arguing that while the debate on overtourism has drawn attention again to the old problem of managing negative tourism impacts, it is not well conceptualized. Seven overtourism myths are identified that may inhibit a well-rounded understanding of the concept. To further a contextualized understanding of overtourism, the paper calls for researchers from other disciplines to engage with the topic to come to new insights.
The purpose of the current research is to develop a methodology that can analyse online reviews using machine learning techniques in such a way that practitioners in the fields of tourism and ...destination management can understand and apply the technique to improve their attractions. This research studies the TripAdvisor reviews of tourist attractions, including beaches, islands, temples, a pedestrian street, and markets in Phuket, Thailand. In total, 65,079 online reviews were analysed using two machine learning techniques: latent Dirichlet allocation (LDA) and naïve Bayes modelling.
LDA modelling helps the researchers determine the dimensions of each type of attraction. Four dimensions were specified for beaches and islands, three dimensions for a pedestrian street and temples, and two dimensions for markets. This research also developed two practical tools – dimensional salience-valence analysis (DSVA) and lexical salience-valence analysis (LSVA) – and used them to suggest actions for the Tourism Authority of Thailand (TAT).
•65,079 TripAdvisor reviews of attractions were analysed using machine learning.•10 beaches, 12 island locations, 2 temples, a street, and 12 markets were analysed.•Latent Dirichlet allocation modelling was used to extract dimensions of attractions.•Naïve Bayes modelling was used to analyse underlying terms.
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