Search Results (214)

Gastronomic tourism has emerged as a significant driver of destination competitiveness, cultural preservation, and sustainable development. This comprehensive review synthesizes the scientific literature published between 2010 and 2025, examining the evolution of gastronomic tourism research, global trends, sustainability dimensions, and emerging challenges. Through systematic analysis of 150 peer-reviewed articles from major academic databases, this paper identifies key themes including cultural heritage preservation, sustainability practices, digital transformation, and educational innovations. The findings reveal a growing recognition of gastronomy as intangible cultural heritage, increased focus on farm-to-fork practices, and the transformative role of social media in destination branding. Despite the rapid growth of gastronomic tourism research, important gaps remain. The literature lacks standardized sustainability indicators, limiting comparability across studies, while cross-cultural comparative research and interdisciplinary integration remain insufficiently developed. Addressing these gaps is essential for advancing theoretical coherence and supporting evidence-based practice in gastronomic tourism. Full article

As a core sector of the Belt and Road Initiative (BRI) and dual-circulation pattern, Xinjiang’s cultural tourism industry—its ninth-largest industrial cluster—plays a key role in enhancing industrial competitiveness and regional coordinated development. To fill the research gap of insufficient analysis on China’s western frontier regions in existing tourism cluster studies, this research focuses on 14 prefecture-level cities in Xinjiang (2009–2023) and innovatively adopts a spatiotemporal synergy and dual-dimensional correlation framework, addressing the limitations of previous single-dimensional research. Tourism Location Quotient (TLQ) quantified specialized agglomeration, Local Moran’s I identified spatial correlation patterns, gravity models analyzed horizontal inter-cluster interactions, and Gray Relational Model (GRM) measured vertical driving relationships between cluster development and related dimensions. This approach facilitates an in-depth analysis of the spatiotemporal evolution trajectory of Xinjiang’s tourism clusters and their horizontal-vertical linkage mechanisms. Findings show: (1) Xinjiang’s tourism clusters present a spatial pattern of “Northern Xinjiang as the core, Eastern Xinjiang with differentiated development, and Southern Xinjiang as lagging.” With narrowing regional gaps, their evolution transitions from a “fixed gradient” to “co-evolution.” (2) Agglomeration effects are significant: Urumqi propels Northern Xinjiang to form a “high-high agglomeration zone,” while Southern Xinjiang remains a “low-low agglomeration zone” led by Kashgar. (3) Horizontal linkages evolve from a Urumqi-centered single-core structure to a multi-axis cluster network, and vertical linkages are mainly driven by destination attractiveness and economic support capacity. This study clarifies the spatiotemporal evolution logic and associated driving mechanisms of tourism clusters in arid, multi-ethnic frontier regions, providing a scientific basis for optimizing regional tourism layouts and promoting high-quality development. Full article

This study presents a replicable methodology for identifying and evaluating the tourism potential of natural and cultural heritage through a comprehensive inventory. It aims to enhance regional competitiveness and foster sustainable destination development. The methodology combines bibliographic review, field observation, and local surveys, and it was validated through its application in a tourist destination city in Colombia, where resources were systematically classified and evaluated using qualitative and quantitative criteria, focusing on preservation quality and market relevance. The results revealed a rich and underutilized heritage portfolio with exceptional potential in categories such as religious architecture, goldsmithing traditions, local festivals, and natural riverine ecosystems. The city demonstrated a high capacity for developing tourism products grounded in cultural identity and environmental preservation. This methodology offers a robust, adaptable tool for tourism planning, bridging heritage valuation with market relevance. By integrating structured evaluation with local knowledge, the model supports data-driven decision-making and inclusive governance—essential for combating overtourism and promoting long-term resilience in heritage towns. Full article

Platform-enabled governance is reshaping destination management, yet subnational destinations still lack replicable dashboards that combine key performance indicators (KPIs) with efficiency analysis. This study examines whether a compact KPI stack coupled with longitudinal Data Envelopment Analysis (DEA) can provide actionable targets for destination development management and marketing organizations (DDMMOs). Using 2020–2024 administrative data for five regional units of the Peloponnese, an output-oriented CRS DEA model is specified with one input (room capacity) and two outputs (tourism revenue and overnight stays), complemented by a VRS specification that decomposes Overall Technical Efficiency into Pure Technical and Scale Efficiency. The results show a clear differentiation in trajectories: one regional unit remains consistently on the efficiency frontier, and others exhibit gradual convergence towards best practice, while at least one unit displays persistent underperformance that is driven primarily by scale rather than managerial inefficiency. These distances to frontier are transformed into proportional, output-specific targets and dynamically updated peer sets, which are integrated into a KPI dashboard to support a continuous measure–act–learn loop on pricing, promotion, and capacity allocation. Overall, the article proposes a transparent, reproducible template that links destination competitiveness frameworks with a multi-input, multi-output efficiency lens and embeds KPIs and dynamic DEA insights in a continuous governance loop for destination management. Full article

Understanding destination image perceptions is critical for tourism destinations seeking to maintain competitive advantage and foster visitor loyalty. While the traditional literature suggests that first-time and repeat visitors differ significantly in their cognitive and affective destination image perceptions due to experiential differences, emerging evidence from destinations with established branding challenges these conventional assumptions. Thailand, as a globally prominent destination with sustained branding initiatives since 1998, provides an ideal context for examining whether visitor experience moderates destination image formation and loyalty outcomes. This study investigates differences in cognitive and affective destination image perceptions and destination loyalty between first-time and repeat international travellers to Thailand, applying the cognitive–affective–behavioural (CAB) model to examine how these constructs influence revisit and recommendation intentions across visitor segments. Data were collected from 392 international tourists visiting three major southern coastal destinations in Thailand (Phuket, Krabi, and Phang-Nga) through face-to-face surveys using purposive sampling. The sample comprised 185 first-time travellers and 207 repeat visitors. Partial least squares structural equation modeling (PLS-SEM) with multigroup analysis was employed to examine structural relationships and test for significant differences between visitor cohorts using parametric, Welch–Satterthwaite, and permutations tests. Contrary to theoretical expectations, multigroup analysis revealed no statistically significant differences between first-time and repeat travellers across all examined pathways (all permutation p-values > 0.05). Both groups demonstrated equivalent perceptions regarding how cognitive image influences affective image, and how these dimensions affect revisit and recommendation intentions. Affective image emerged as the dominant predictor of destination loyalty for both segments, while cognitive image primarily served as an enabler of emotional responses. These findings challenge traditional assumptions about experiential differences between visitor types suggesting that mature destinations with consistent long-term branding may achieve perceptual uniformity that transcends direct experience. Destination marketing organizations should implement unified rather than segmented strategies, prioritizing emotional engagement mechanisms over rational attribute promotion to cultivate destination loyalty across all visitor segments. However, these findings are specific to coastal leisure destination and may not fully generalize to other destination types. Full article

Digitalization is one of the key phenomena shaping the modern world, and its impact on various sectors of the economy is increasingly important. The development of the tourism sector is inextricably linked to the development of digital technologies. This study investigates the relationship between the level of digitization and the competitiveness of the tourism sector across European Union countries. Drawing on the literature review, the research hypothesis posits a significant association between these two variables. Using the statistics obtained from Eurostat on digitization, the synthetic Hellwig measure was calculated to create a ranking of the level of digitization of EU countries. Then, the Pearson correlation coefficient was calculated; that is, the relationship between the ranking of digitization and the ranking according to the synthetic Travel & Tourism Development Index 2024 (TTDI) was examined. The study shows a positive correlation between the level of digitization and the competitiveness of the tourism sector in European Union countries. Countries with higher levels of digitization tend to perform better in the TTDI rankings. The study contributes to the academic discussion focusing on building competitive and resilient tourist destinations. Full article

Industrial tourism serves as a medium for disseminating industrial culture and strengthening public awareness. Quantifying the discrepancies between official projections and public perceptions is essential for shaping the destination image and enhancing appeal and competitiveness. This study examines five industrial heritage creative industry parks using large language models (LLMs) and multimodal data to address this issue. The results indicate the following: (1) Multimodal data fusion improves feature representation. (2) A clear discrepancy exists between official projections and public perceptions. The official perspective emphasizes the Cultural value of heritage, in contrast to the public’s greater concern with the Service experience perception. Despite this divergence, there is alignment in the recognition of the Creative industry form dimension. (3) Public sentiment regarding the parks is predominantly positive. However, an analysis of negative sentiments reveals that insufficient supporting facilities and poor consumption experience are the primary sources of dissatisfaction. Through large language models and multimodal data, this study proposes a framework for quantifying the gaps between official projections and public perceptions. It also provides practical insights and empirical support for the management and planning of industrial heritage creative industry parks. Full article

Alternative tourism contributes to the sustainable development of tourism and to the participation of communities in managing tourism within their territories. For this reason, it is pertinent to study the concept, characteristics, and benefits of alternative tourism, as well as its relationship with tourism competitiveness, leading to a methodology for evaluating the potential of a territory as an alternative tourism destination. The main objective of this research is to design a Sustainable Development Index in Alternative Tourism (SDIAT) based on Colombia’s tourism competitiveness indicators, which are focused on the dimensions of sustainable development, as a tool to identify the capacities of a territory associated with the development of this type of tourism. The methodology includes the application of the Delphi technique through a multidisciplinary panel of 15 experts. Two rounds have been conducted for discussion and dissemination based on the experts’ opinions, allowing consensus validation of three dimensions with their weightings and relationships, along with 21 indicators proposed for the index, which are articulated with the measurement of tourism competitiveness. The contribution lies in generating a measurement proposal applicable to different contexts that supports tourism planning and informed decision-making by destination managers, contributing to the creation of inputs for public policy. Full article

Heritage cities confront persistent tensions between safeguarding cultural authenticity and facilitating sustainable heritage tourism within rapidly modernizing urban contexts. This study examines these dynamics through Pingyao Ancient City, a UNESCO World Heritage Site exemplifying both conservation achievements and tourism challenges. Employing a mixed-methods framework, the research synthesizes GIS-based spatial analysis, multi-scalar policy assessment, media discourse analysis, and stakeholder interviews with residents, tourists, and heritage managers. Findings reveal substantial land use transformations characterized by internal functional restructuring with 212% and 300% expansion of service and commercial land use, respectively. While regulatory frameworks demonstrate efficacy in preserving architectural integrity, they simultaneously constrain adaptive reuse and experiential engagement. Media narratives and interviews illuminate pervasive authenticity concerns (86% among stakeholders) despite acknowledged infrastructural improvements. The analysis validates that static preservation paradigms, while achieving technical objectives, potentially undermine destination competitiveness by privileging physical conservation over cultural vitality and holistic visitor experiences. This study posits that sustainable heritage tourism necessitates integrated policy frameworks reconciling conservation imperatives with adaptive spatial strategies, dynamic community engagement, and authentic cultural interpretation. These findings contribute to heritage management theory while offering practical implications for policy formulation in comparable contexts. Full article

This study examines co-opetition mechanisms in China’s rapidly expanding bed and breakfast (B&B) sector, where intense competition drives operators to collaborate with rivals. A co-opetition model incorporating size classifications was tested using survey data from 500 clustered B&Bs. Data were analyzed with SPSS 26.0 and AMOS 23.0 through descriptive statistics, reliability testing, exploratory and confirmatory factor analyses, and structural equation modeling (SEM). Results show that perceived benefit (β = 0.230, p < 0.01), cooperation orientation (β = 0.223, p < 0.01), and prior experience (β = 0.232, p < 0.01) significantly drive co-opetition, whereas mutual trust and strategic fit are not significant. Co-opetition strongly enhances sustainable competitive advantage (β = 0.521, p < 0.001), indicating that strategic collaboration can mitigate homogenization in dense markets. The study contributes to co-opetition theory by (1) identifying antecedents specific to small-scale hospitality businesses, (2) challenging conventional assumptions about the role of trust, and (3) establishing empirical links between co-opetition and long-term competitiveness. Practically, the findings provide B&B operators with strategies for navigating competitive yet interdependent environments and offer policymakers evidence-based guidance to foster sustainable tourism clusters through institutional support for cooperative networks. Full article

Accommodation constitutes a key element in the competitiveness of a destination. However, there is limited information on how overnight tourists evaluate the destination according to the type of accommodation. To date, Information and Communication Technologies (ICTs) have led to an increased use of online media and the generation of large datasets available for analysis. This study analyses 47,568 feedback surveys administered by Spanish accommodation establishments to tourists, provided anonymously by a tourism software company. The main objective is to understand which destination attributes predict positive results on satisfaction and recommendation, depending on the type of accommodation (hotel and non-hotel). To this end, both a descriptive analysis and an analysis using neural networks are conducted. The results reveal significant differences in the evaluation of destination elements depending on whether the accommodation is a hotel or non-hotel, with the predictive variables varying across each typology. As a key conclusion, the study highlights that adopting this perspective makes it possible to understand destination evaluation from the standpoint of overnight tourists, thereby contributing to destination-related literature. From a practical perspective, recommendations are offered to both destination managers and accommodation providers. Full article

This study investigates how multidimensional value and experience quality shape satisfaction and loyalty in shopping tourism. We extend the QVSL tradition by (i) specifying three hedonic value dimensions (entertainment, exploration, escapism), (ii) differentiating functional value into performance-oriented and money-saving facets, and (iii) incorporating epistemic value and experience quality as additional antecedents. We also model immediate behavioral outcomes (i.e., money spent and time spent) and test involvement as a moderating condition. Using path analysis on data from 413 mainland Chinese tourists in Japan, findings confirm that entertainment, functional value (for performance and money), epistemic value, and experience quality enhance shopping satisfaction. Functional values, epistemic value, and satisfaction drive destination loyalty. Money and time spent are additional outcomes of satisfaction. Involvement moderates the link between satisfaction and money spent. These insights offer strategic implications for Destination Marketing Organizations (DMOs) and retailers to optimize shopping environments and employee services, increasing tourist satisfaction, loyalty, and both time and money spent in the competitive shopping tourism market. Limitations include the cross-sectional design and the use of composite-indicator path analysis; future research could apply longitudinal or full SEM approaches, broaden contexts, and test additional constructs. Full article

Adventure tourism has established itself as a growing sector that integrates physical activity, interaction with nature, and cultural exchange. Understanding the heterogeneity of demand is crucial for designing effective and sustainable destination management strategies. Despite the global growth of adventure tourism, there is a scarcity of empirical studies analyzing the motivations, segmentation, and loyalty of tourists in emerging coastal destinations. This study contributes to filling this gap by providing evidence from the case of Santa Elena, Ecuador. This study examines the motivations, market segmentation, and loyalty of adventure tourists in Santa Elena, an emerging coastal destination in Ecuador. Based on a survey of 318 visitors and using exploratory factor analysis (EFA) and k-means cluster segmentation, five motivational dimensions were identified: learning, social, biosecurity, relaxation, and competence-mastery. The results revealed two distinct segments: (i) Relaxation seekers, primarily motivated by rest and stress reduction, and (ii) multi-motivation tourists, with high levels of motivation across all dimensions. This latter group showed greater loyalty, evidenced by the intention to return, recommend, and spread a positive image of the destination. The study contributes to academic knowledge by proposing a motivation-based segmentation model that integrates emerging dimensions such as biosecurity and offers practical implications for the sustainable management of adventure destinations. It recommends designing differentiated tourism products that cater to dominant motivations, thereby strengthening competitiveness and contributing to the sustainability of tourism in emerging contexts. Full article

This study examines the intention of Greek tourists who visit national touristic destinations to adopt Artificial Intelligence (AI) chatbots in the tourism sector. Using the UTAUT2 model as a framework, data were collected through a closed-ended questionnaire and analyzed with correlation and regression methods to identify the main drivers and barriers to this adoption. Results show that specific factors such as performance expectancy, hedonic motivation, and perceived innovativeness significantly and positively influence chatbot usage, emphasizing the role of usefulness, enjoyment, and innovation in shaping user acceptance. Conversely, factors such as inconvenience, habit, and difficulty of use negatively affect adoption, indicating the importance of overcoming usability challenges and resistance to change. These findings highlight the need for the development of accessible and engaging chatbot systems and underscore the value of continuous technological improvements. The study concludes that adopting AI-driven solutions can help tourism providers personalize services, improve operational efficiency, and enhance customer satisfaction, fostering sustainable competitiveness in the sector. Full article

Boyacá, a department in the Colombian Andes, is recognized for its rich natural, cultural, and historical heritage, positioning it as an emerging tourism destination with strong potential for sustainable development. Its portfolio encompasses ecological, cultural, adventure, and rural modalities that contribute to local economies and community well-being. This study employs a mixed-methods design combining documentary analysis with fifty semi-structured interviews conducted across five provinces, engaging stakeholders such as hotel managers, travel agencies, restaurateurs, agroecological farmers, museum directors, café entrepreneurs, and ecotourism operators. The findings reveal that innovation, particularly through infrastructure, modernization, digital adoption, and service professionalization—is critical to strengthening competitiveness. However, persistent challenges include stakeholder fragmentation and the absence of a coordinated promotional strategy, both of which limit visibility and shared value generation. To address these challenges, the study proposes integrated innovation pathways, including thematic circuits (heritage, independence, and coffee routes), personalized tourism experiences, and the use of digital and experiential marketing tools. These approaches highlight the need for collaborative governance involving public, private, and community actors. The article contributes empirical evidence to the debate on tourism innovation and sustainability in emerging regions, underscoring Boyacá’s paradox: global recognition coexists with fragmented governance. It argues that innovation-driven strategies, aligned with sustainability principles, are essential for consolidating Boyacá as a competitive and regenerative tourism destination. Full article