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The study aims to cluster the travellers based on their social media interactions as well as to find the different segments with similar and dissimilar categories according to traveller's choice. The study also aims to understand the behaviour of clusters of the travellers towards destination selection and accordingly make the tour packages in order to improve tourists' satisfaction and gain viable benefits.

Agglomerative hierarchical clustering with Ward's minimum variance linkage algorithm and model-based clustering with parameterized finite Gaussian mixture models has been implemented to achieve the respective goals. The dimension reduction (DR) technique was introduced for better visualizing clustering structure obtained from a finite mixture of Gaussian densities.

A total of 980 travellers have been clustered into 8 different interest groups according to their tourism destinations selection across East Asia based on individual social media feedback. For selecting the optimal number of clusters as well as the behaviour of the interested travellers groups, both these proposed methods have shown remarkable similarities. DR technique ensures the reduction in dimensionality with seven directions, of which the first two directions explained 95% of total variability.

Tourism organizations focus on marketing efforts to promote the most attractive benefits to the clusters of travellers. By segmenting travellers of East Asia into homogeneous groups, it is feasible to choose a similar area to test different marketing techniques. Finally, it can be identified to which segments, new respondents or potential clients belong; consequently, the tourism organizations can design the tour packages.

The study has uniqueness in two aspects. Firstly, the study empirically revealed tourists' experience and behavioural intention to select tourism destinations and secondly, it finds quantifiable insights into the tourism phenomenon in East Asia, which helps tourism organizations to understand the buying behaviours of tourists' segments. Finally, the application of clustering algorithms to achieve the purpose of this study and the findings are very new in the literature on tourism, to understand the tourist behaviour towards destination selection based on social media reviews.

The paper aims to examine the competitive advantage of the environmental behaviour at a firm level and micro-cluster level, building the analysis on Harts model of natural resource-based view of the firm and by using Brown et al.'s framework for analysing contextual resources that would provide locational advantage based on environmental behaviour. The case study examines the drivers and the obstacles to environmental action and demonstrates how clustering has been important in progressing a sustainability agenda.

A case study of a single wine tourism cluster in Australia is undertaken using mixed methods.

The main drivers for environmental action are genuine concerns for the environment by the cluster participants, especially water conservation in the Australian context. Supporting this is the co-ordination of the Lovedale Chamber of Commerce which has promoted its “greening Lovedale” project as a source of regional identity and potential competitive advantage. The obstacles to action are those that are present when small firms dominate, a lack of resources and a lack of know how. Through clustering small businesses can share resources, access specialists and share knowledge.

A single cluster case study within the Australian and the wine tourism context confined to one point in time.

The clustering of firms in agricultural regions offers the opportunity to achieve individual and collective benefits. Clustering participation can reduce costs, achieve scale economies and share knowledge. These advantages are relevant for environmental actions. In the context of weak or absent government actions and regulations over the environment, regional clusters can utilise the advantages of clustering to meet environmental goals. These in turn can contribute to regional identity and regional comparative advantage. These issues are addressed through the study of the Lovedale wine cluster in Australia.

There are few studies of how clustered agricultural industries are addressing environmental challenges independently of central government directives or subsidies. Clustering enables small firms to participate in environmental programs despite being faced by resource and knowledge shortages.

In today's globalising conditions, tourism is marketed as a combined product because the demand for tourism increases as the product differs. It is very difficult for tourism destinations, which emerge as a result of the combination of attractiveness, accessibility, tourism businesses, activity and image elements, to survive because tourism destination stakeholders have different goals and objectives. Therefore, there is a need for an effective destination management in which management functions (planning, organising, coordination, commanding (leading) and control) will be employed. Together with the destination management, stakeholders with different goals and objectives are expected to operate in line with a common goal. The clustering of tourism businesses, one of the stakeholders of the tourism destination, plays a very important role in the emergence of destination management. In addition, this situation causes businesses to act not only in line with their own interests but also in the interests of the destination. While avoiding activities that would endanger the existence of the destination with the unions they establish, they cause local administrations and fund managers to act in line with the infrastructure, superstructure and development opportunities needed. In addition to this, while ensuring the use and protection of social capital in that region, it also enables the development of intellectual capital. On the other hand, it causes the opening of new main and auxiliary enterprises and plays an active role in increasing the welfare level of the region. Therefore, clustering is very important in successful destination management.

To test the applicability of the user-generated content (UGC) derived from social travel network sites for online reputation management, the purpose of this study is to analyze the spatial clustering of the reputable hotels (based on the TripAdvisor Best-Value indicator) and reputable outdoor seating restaurants (based on ranking indicator).

This study used data mining techniques to obtain the UGC from TripAdvisor. The Hierarchical Density-Based Spatial Clustering method based on algorithm (HDBSCAN) was used for robust cluster analysis.

The findings of this study revealed that best value (BV) hotels and reputable outdoor seating restaurants are most likely to be located in and around the central districts of the urban tourist destinations where population and economic activities are denser. BV hotels' spatiotemporal cluster analysis formed clusters of different sizes, densities and shape patterns.

This study showed that reputable hotels and restaurants (H&Rs) are concentrated within districts near historic city centers. This should be an impetus for applied research on urban investment environments.

The findings would be rational guidance for entrepreneurs and potential investors on the most attractive tourism investment environments.

There has been a lack of studies focusing on analyzing the spatial clustering of the H&Rs using UGC. Therefore, to the best of the authors’ knowledge, this study is the first to map and analyze the spatiotemporal clustering patterns of reputable hotels (TripAdvisor BV indicator) and restaurants (ranking indicator). As such, this study makes a significant methodological contribution to urban tourism research by showing pattern change in H&Rs clustering using data mining and the HDBSCAN algorithm.

为了测试社交旅游网站 (STNS) 的用户生成内容 (UGC) 对在线声誉管理 (ORM) 的适用性, 本研究分析了知名酒店的空间聚类（基于 TripAdvisor 最佳价值指标) 和信誉良好的户外座位 (ODS) 餐厅(基于排名指标)。

该研究使用数据挖掘技术从 TripAdvisor 获取 UGC。 基于（HDBSCAN）算法的分层基于密度的空间聚类方法用于鲁棒聚类分析。

调查结果显示, 最具价值 (BV) 酒店和信誉良好的 ODS 餐厅最有可能位于人口和经济活动较为密集的城市旅游目的地的中心区及其周边地区。 BV 酒店的时空聚类分析形成了不同大小、密度和形状模式的聚类。

目前的文献扔缺乏专注于分析利用 UGC 的酒店和餐厅 (H&R) 空间聚类的研究。 因此, 本研究首次绘制并分析了知名酒店（TripAdvisor BV 指标）和餐厅（排名指标）的时空聚类模式。 因此, 本研究通过利用数据挖掘和 HDBSCAN 算法显示 H&Rs 聚类的模式变化, 为城市旅游研究做出了重要的方法论贡献。

这项研究表明, 著名的 H&R 集中在历史悠久的市中心附近的地区。 这应该是对城市投资环境的应用研究的推动力。

研究结果将为企业家和潜在投资者提供最具吸引力的旅游投资环境的理性指导。

This paper aims to explore the relationship between clustering and hotel competitiveness in emerging economy destinations by analyzing potential mediation of the management innovations implemented.

This empirical study is based on hotel-level information from a survey including 131 hotels in 2014. Colombia was chosen as a representative of Colombia, Indonesia, Vietnam, Egypt, Turkey and South Africa (CIVETS) emerging destinations. The relationships were analyzed by structural modeling and partial least squares.

Clustering has a positive direct impact on hotel competitiveness and innovation, and there is a positive effect of innovation on competitiveness. Therefore, the link between clustering and competitiveness is partially mediated through implementation of management innovations.

Hotels should actively participate in agglomerated destinations and build relationships with established firms by clustering. Interaction with related firms and implementation of management innovations will lead to increased levels of economic competitiveness. Public policymakers should foster collaborative strategic networking in the hospitality industry of emerging economy destinations.

This paper focused on separating the direct and indirect effects of clustering on hotel competitiveness. Implementation of management innovations was considered as an outcome derived from clustering in emerging tourist destinations, using the example of Colombia. Clustering stimulates and eases management innovations within the location, and that combination reinforces the role that cooperating while competing plays in hotel competitiveness for destinations with lagging innovation.

The purpose of this paper is to investigate the potential contribution of some approaches, i.e. value‐chain, strategic marketing, electronic marketing and clustering, and to suggest a conceptual framework allowing improving effectiveness in the field of promoting tourism destinations. Hence, the paper puts forward a conceptual framework allowing attaining an integrated approach in tourism destination marketing.

The approach adopted and implemented for this study is a desk research based on extensive literature and well‐established theories.

The paper provides insights into a comprehensive approach to destination marketing planning and implementation and suggests a conceptual framework encompassing approaches contributing to improve effectiveness and efficiency in the field of destination marketing.

The factors influencing e‐marketing and clustering approaches are highlighted and a set of recommendations are put forward for destination marketers.

Destination marketing organisations all over the world have to implement innovative and appropriate approaches; and use adequate tools and techniques in order to improve their marketing activities effectiveness and efficiency. The paper successfully addresses the complexity in the field of destination marketing due to the various stakeholders involved and to the nature of tourism product/experience. Therefore, this paper successfully suggests a conceptual framework contributing to improve effectiveness and efficiency of activities of destination marketing organizations by adopting an integrated approach based on well‐established theories.

The purpose of this paper is to investigate the role of intersectoriality within the cultural, creative and tourism industries in Italian local development.

The research design builds on the literature on culture-led development and adapts the established body of empirical research on industrial districts to tourism and cultural development. The quantitative analysis of intersectoral specialization and the clustering of cultural, creative and tourism industries in Italian local labour systems (LLSs) combines specialization indexes with principal component analysis and cluster analysis.

About 50 per cent of Italian LLSs specialize in the economy of culture and tourism, mostly in material culture, although tourism has the highest level of specialization. There are three main patterns of agglomeration and clustering. The largest cluster is that of the cultural heritage and content and information industries, which coincides with the systems of medium-sized and large cities, followed by systems of tourism monoculture. The smallest is made up of material culture, typically made-in-Italy sectors. The tourism and material culture industries are monocultures – where tourism agglomerates, but material culture does not.

The analytical approach is quantitative and based on Istat’s Industry and Trade (2012) data set. Further studies are needed on the interaction between agglomerated specialized industries.

This paper contributes to the theoretical and political debate on the value generation and innovation potential of culture and creativity, and bridges the knowledge domains of local development and managerial studies. Novel statistical evidence on intersectoral specialization and the clustering of the cultural, creative and tourism sectors in Italy at the inter-municipal level is provided. This study helps to identify an Italian model of the economy of culture and tourism.

This study aims to identify stakeholders and dimensions of the gastro-tourism cluster in Cyprus in order to facilitate the creation of a network of unique culinary experiences for tourists.

The qualitative research approach was undertaken through interaction with academics, researchers, and public and private sector stakeholders during the Gastro-Tourism Conference, which was organized by the University of Nicosia, Cyprus, in May 2022. The study draws on data from non-structured interviews conducted with tourism industry professionals and stakeholders.

Four stakeholders of the gastro-tourism cluster were identified: enterprises from the gastro sector, supportive enterprises and industries, public institutions, and other institutions. Geographic proximity and knowledge sharing are the main dimensions affecting the gastro-tourism cluster in Cyprus.

The authors identified stakeholders in and dimensions of the gastro-tourism cluster in Cyprus, each of which plays a significant role in creating culinary experiences for visitors and ensuring more sustainable and less seasonal development of the island as a destination.

This chapter discusses the emerging network science approach to the study of complex adaptive systems and applies tools derived from statistical physics to the analysis of tourism destinations. The authors provide a brief history of network science and the characteristics of a network as well as different models such as small world and scale free networks, and dynamic properties such as resilience and information diffusion. The Italian resort island of Elba is used as a case study allowing comparison of the communication network of tourist organizations and the virtual network formed by the websites of these organizations. The study compares the parameters of these networks to networks from the literature and to randomly created networks. The analyses include computer simulations to assess the dynamic properties of these networks. The results indicate that the Elba tourism network has a low degree of collaboration between members. These findings provide a quantitative measure of network performance. In general, the application of network science to the study of social systems offers opportunities for better management of tourism destinations and complex social systems.

This chapter explores some examples of good and not-so-good practices implemented worldwide, especially in Southern Europe, in Creative Tourism activities developed by entrepreneurs. The case studies used in the present chapter are located either in urban territories, small cities or rural areas. The global market introduces some difficulties in achieving good practices, highlighting the need to improve solid partnerships. The support from private and public sectors to institutions and enterprises developing creative tourism activities is analysed. Administrative and economic difficulties are also considered, and some proposals for the future survival of institutions and enterprises. In a global market, the definition of clusters is playing an increasing role in the survival of local and regional economies. In the tourism market, where seasonality is also a significant problem with difficult resolution, creating clusters can also be a great tool to contradict this. However, the success of implementing clusters in the tourism market depends on strong leadership and in-depth monitoring of results planned to be achieved. The present chapter considers clustering in Creative Tourism and the difficulties of implementing it in South Europe. Cultural and organisational issues are highlighted, as well as the need to construct thematic clusters that feature the needs of tourists.