Search Results (83)

This study examines the roles of startup hubs within the cultural and creative industries (CCIs) and their implications for cultural innovation and tourism in European cities. Despite the growing importance of CCIs in urban development and destination branding, few studies have explored the organisational, social and communicative dynamics of cultural startup hubs. To address this gap, a comparative mixed-methods approach is applied to analyse 91 incubated startups in three European hubs: 104factory (Paris, France), Makerversity (London, UK) and A Lab (Amsterdam, The Netherlands). This study integrates structural variables (sustainability and institutionalisation), social variables (gender representation in leadership) and communication variables (activity and engagement on Instagram). The results reveal distinct organisational models, from highly institutionalised structures to more flexible, community-oriented approaches, with notable differences in terms of sustainability and gender distribution. In terms of communication, greater engagement is associated with content focused on community, identity and collective creativity, rather than promotional strategies. These findings highlight the role of startup hubs as hybrid intermediaries that not only support cultural entrepreneurship, but also contribute to the symbolic positioning and tourist appeal of the cities in which they are located. This study offers theoretical and practical insights for the development of more inclusive, sustainable and effectively communicative cultural ecosystems. Full article

The digitization of tourism has made numerous platforms available, but there remains a significant shortage of tools capable of promoting local events and activities. This study hypothesizes that a decentralized digital interface can mitigate over-tourism. We conducted an experiment by deploying a digital platform to assess the synergy between local providers and visitors through the Tourism Open-ended Experimentation Platform (TOEP), a multi-interface solution designed to directly connect tourism activity providers with residents and visitors. The platform integrates a web portal for providers and a mobile app for users, supported by a recommendation system based on individual profiles and preferences. TOEP stands out for its focus on local and sustainable tourism, facilitating the promotion of smaller events and helping to reduce the concentration of tourist flows in already saturated destinations. Initial validation, conducted with a panel of industry experts, highlighted the ease of use and good organization of the interfaces, with scores above average. Preliminary results confirm the relevance of TOEP as a tool for the sustainable and digitized promotion of local tourism, opening prospects for development towards a smart, participatory tourism ecosystem that can be replicated in different territorial contexts. Full article

Tourism’s digital transformation has reshaped how travelers search for and evaluate destinations. However, relatively little empirical work has examined how user engagement translates into booking intent, especially under the emergent discovery channels mediated by artificial intelligence (AI). This study tests an engagement-driven referral framework using longitudinal behavioral data from a Mediterranean destination portal (April 2022–January 2026; 1.6 million sessions). Engagement depth, measured as average session time, significantly predicts booking intent click rate. Mobile drives 83% of sessions, but desktop users convert at nearly twice the rate (5.69% vs. 3.37%). High traffic, as it turns out, does not equal high commercial intent. Lower-volume international markets routinely outperform the dominant domestic market. The most striking result concerns AI referrals. Traffic arriving from AI assistants converts at 8.26%, more than double the organic search rate of 3.88%, despite shorter sessions, a pattern consistent with compressed decision-making under generative AI. These findings, grounded in real travel portal data, extend engagement theory beyond transactional settings and shed early light on how referrals from AI assistants like ChatGPT or Gemini differ behaviorally from organic search, with practical implications for portal managers, destination marketing organizations (DMOs), and sustainable demand management. Full article

The rapid growth of digital tourism platforms has intensified information overload and decision complexity for both locals and travelers, while operators struggle to differentiate their offerings and sustain profitable, data-driven e-commerce models. This paper presents Doroob, a big data and artificial intelligence (AI)-driven, context-aware recommendation system that integrates traditional recommender techniques with real-time facial emotion recognition (FER) to enable intelligent tourism commerce. Doroob combines three AI-based recommendation strategies: smart adaptive recommendation (SAR) collaborative filtering, a Vowpal Wabbit-based context-aware model, and a LightFM hybrid model. It trained on datasets built from the Google Places API and enriched with ratings adapted from MovieLens. FER, implemented with DeepFace and OpenCV, analyzes short video segments as users browse destination details, converts emotion scores into 1–5 satisfaction ratings, and stores this implicit feedback alongside explicit ratings to support adaptive, emotion-aware personalization. Experimental results show that the context-aware model achieves the strongest top-K ranking performance, the hybrid LightFM model yields the highest AUC of 0.95, and the SAR model provides the most accurate rating predictions, demonstrating that combining contextual modeling and FER-based implicit feedback can enhance personalization, mitigate cold-start, and support data-driven promotion of local tourist services in intelligent e-commerce ecosystems. Full article

Socio-cultural tourism factors include folk music, cuisine and gastronomic brands, domestic handicrafts, crafts, folk customs, events, local tourist culture and cultural–historical heritage, language, social life of residents, and other factors. Important natural factors are the geographical and tourist location, features of relief, hydrographic potential, types of climates, plant and animal species, and others. Socio-cultural factors, together with natural factors, can create the basic characteristics of a destination. This research used the two landscapes of outstanding features (LOFs) that are part of the wider area of Serbia’s capital city, Belgrade. The selected areas are the main excursion and tourist centers, which possess significant natural and cultural characteristics for the development of sustainable tourism (STO). The main characteristics of these LOFs are forest ecosystems, which have an impact on tourism and recreation. The article used a quantitative methodology, based on the survey technique, which was used to collect data. A total of 1120 respondents were surveyed. Respondents expressed their views on claims related to space factors, which can influence the development of tourism and recreation. By analyzing the results, it can be concluded that there is an impact of factors on satisfaction with STO. Full article

This study examines multi-celebrity deployment as a destination branding practice, using Seoul as an empirical case. The analysis draws on 172 official tourism promotional videos released by the Seoul Tourism Organization between 2011 and 2025, featuring 67 identifiable celebrities and 438 destination references. A qualitative content analysis examines how celebrity endorsement is organized as a branding mechanism, focusing on who appears, what is represented, and how representations are communicated across media formats over time. The findings show that Seoul’s tourism promotion operates through a structured multi-celebrity branding system in which multiple endorsers are coordinated across campaigns and periods. Endorser selection is anchored in Hallyu-affiliated celebrities who function as primary carriers of destination meaning, while emerging, non-Hallyu, and heritage-linked figures occupy complementary roles that broaden representational scope and reduce reliance on individual figures. Celebrity endorsement continues to emphasize major and symbolically dense attractions, while also extending visibility to everyday neighborhoods and locally oriented urban landscapes. Long-term ambassador-led campaigns coexist with travel vlogs and other creative video formats, enabling variation in narrative tone and experiential framing. Theoretically, the study extends celebrity endorsement research by conceptualizing multi-celebrity deployment as a coordinated branding system. Practically, the findings show how destination marketing organizations can mobilize a broad pool of celebrity resources to structure endorsement portfolios over time. Coordinated use of celebrities with different levels of familiarity supports wider spatial representation, enables ongoing narrative renewal, and maintains promotional continuity across changing media environments. This configuration is most applicable to destinations with strong cultural visibility and an established celebrity ecosystem, and may be less transferable to destinations with limited access to influential figures. 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

Tourism is a key spatial process linking human mobility, resource consumption, and environmental change. Despite growing awareness of climate risks, sustainable travel behavior often remains inconsistent with pro-environmental attitudes, reflecting the persistent attitude–behavior gap. This study examines how psychological factors—sustainability motives, ecological identity, and climate attitudes—interact with artificial intelligence (AI) transparency to shape travel decisions with spatial and environmental consequences. Using survey data from 1795 leisure travelers and a discrete-choice experiment simulating hotel booking scenarios, the study shows that ecological identity and climate attitudes reinforce sustainability motives and intentions, while transparent AI recommendations enhance perceived clarity, data visibility, and reliability. These transparency effects amplify the influence of eco-scores on revealed spatial preferences, with trust mediating the relationship between transparency and sustainable choices. Conceptually, the study integrates psychological and technological perspectives within a geographical framework of human–environment interaction and extends this lens to rural destinations, where travel decisions directly affect cultural landscapes and climate-sensitive ecosystems. Practically, the findings demonstrate that transparent AI systems can guide spatial redistribution of tourist flows, mitigate destination-level climate pressures, and support equitable resource management in sustainable tourism planning. These mechanisms are particularly relevant for rural areas and traditional cultural landscapes facing heightened vulnerability to climate stress, depopulation, and uneven visitation patterns. Transparent and trustworthy AI can thus convert environmental awareness into spatially sustainable behavior, contributing to more resilient and balanced tourism geographies. Full article

This study develops and empirically validates a theoretical model designed to assess the performance of tourism innovation ecosystems by integrating the dimensions of innovation, technology, and sustainability—dimensions that have typically been examined in isolation within the literature. The empirical investigation was conducted at two major tourism destinations: a pilot phase in Las Vegas, followed by the main study in Orlando, USA. Data collection was facilitated via the Amazon Mechanical Turk (MTurk) platform, and analysis was conducted using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), enabling the examination of eight hypotheses across seven constructs. The findings provided evidence of both convergent and discriminant validity and supported five of the eight proposed hypotheses. Specifically, the study confirmed significant relationships among technology acceptance and adoption, adoption and innovation generation, innovation and both sustainability and overall ecosystem performance, and adoption and sustainability. Conversely, collaboration and actor-integration barriers did not exhibit significant effects in Orlando, which is consistent with its mature institutional environment. Innovation emerged as a mediating variable linking technology and sustainability, exerting a substantial influence on overall ecosystem performance. This research advances the theoretical consolidation of the tourism innovation ecosystem concept and offers actionable insights for destination managers aiming to foster innovation, facilitate the adoption of connective technologies, and implement sustainable strategies. The proposed model demonstrates empirical robustness and practical relevance, providing a comprehensive framework for analyzing and enhancing smart, resilient tourism destinations. Full article

Global warming has accelerated glacier retreat worldwide, intensifying the vulnerability of ecosystem services and posing challenges to the sustainability of glacier-based tourism. Understanding how environmental changes influence tourist behavior is essential for balancing ecological conservation with tourism development. This study examines the Gangshika Glacier in the Lenglongling region of the eastern Qilian Mountains, China. By integrating Revealed Preference (RP) and Stated Preference (SP) data within a Travel Cost–Contingent Behavior (TC-CB) model, we assess the recreational value of glacier tourism and simulate tourist responses under alternative environmental scenarios. The findings indicate that the total annual recreational value of the site is approximately 6.52 billion CNY, with a per-visit consumer surplus (CS) of 1.16 × 10⁴ CNY. Moreover, environmental degradation exerts a statistically significant negative effect on visitation frequency (p < 0.01). Beyond quantifying economic value, the study highlights the broader implications for ecotourism management, emphasizing the need for dynamic environmental monitoring, low-impact infrastructure, and local community engagement. These results provide actionable insights into how glacier destinations can enhance resilience and contribute to sustainable development under climate change. Full article

This research examines the pursuit of behavioral change for climate-resilient tourism along the Catalan coast by engaging territorial stakeholders in a co-creation process. This study is guided by the following research question: how can the co-creation of integrated climate services, water and energy management, and beach-dune conservation foster behavioral change among stakeholders towards climate-resilient tourism along the Catalan coast? Focusing on two destinations in Catalonia (Costa Daurada and Terres de l’Ebre), it examines three interconnected dimensions of tourism activity: (1) weather, climate, and climate change; (2) energy and water; and (3) beach-dune systems. Through our analysis, we pursue three secondary objectives: (1) to assess the influence of meteo-climatic conditions on tourist activity, (2) to identify necessary adaptation measures related to water and energy management, and (3) to explore how historical photographs can shape stakeholders’ perceptions regarding the relevance and conservation of the beach-dune system. By bringing together expertise in climate services, resource management, and ecosystem conservation, this study explores how collaborative engagement with public and private stakeholders can foster adaptive strategies that enhance the sustainability and resilience of coastal tourism. The findings directly respond to the research question by showing that co-creation processes integrating climate, resource, and ecosystem management can effectively foster behavioral change among stakeholders. Specifically, the main results highlight (1) a clear relationship between meteo-climatic conditions and tourism activities, underscoring the importance of climate awareness; (2) stakeholder recognition of practical adaptation measures focused on water and energy management to increase sector resilience; and (3) the use of the historical photographs as an effective tool to enhance participants’ understanding of beach-dune systems, improving their knowledge of these ecosystems’ dynamics, formation, and evolution. Full article

Destinations such as Bali face intensifying overtourism, which undermines ecological integrity, cultural authenticity, and local livelihoods. Traditional sustainable tourism approaches have proven insufficient, leading to calls for regenerative tourism that restores ecosystems and strengthens communities. This study examines how Penta-Helix collaboration can drive regenerative tourism, mitigate overtourism, and deliver sustainability outcomes. A mixed-methods design was employed. Survey data from 220 domestic and international visitors were analyzed using structural equation modeling (SEM–PLS) to test relationships among Penta-Helix collaboration, regenerative tourism, overtourism mitigation, and sustainability outcomes. To complement these findings, an analytic hierarchy process (AHP) was conducted with 30–40 key stakeholders drawn from 100 informants (government, businesses, communities, academia, and media) to prioritize mitigation strategies. SEM–PLS results indicate that Penta-Helix collaboration significantly enhances regenerative tourism practices (β = 0.62), which strongly reduce overtourism impacts (β = 0.58). Mediation tests reveal that overtourism mitigation is a key mechanism linking regenerative tourism to triple bottom line outcomes (economic, socio-cultural, environmental). AHP results show that carrying capacity enforcement and participatory governance emerge as the top-priority strategies, underscoring the dual importance of institutional policy and community empowerment. The findings advance theoretical debates by positioning regenerative tourism as a systemic innovation enabled by networked governance and operationalized through overtourism mitigation strategies. Practically, the study highlights the need for policy enforcement, participatory governance, and adaptive destination management to embed regenerative principles in overtourism hotspots. Full article

The exploration of the ecosystem service value of rural tourism destinations and their driving factors is regarded as an important approach for promoting the high-quality development of rural tourism and achieving rural revitalization. At present, both industry and academia lack quantitative analyses and integrated optimization approaches for small-scale landscape elements within the context of rural tourism destinations. An examination of rural ecosystem service values from a small-scale perspective can assist rural areas in precisely enhancing ecological functions, advancing rural landscape construction, and fostering high-quality rural development. Six sample sites within rural tourism areas in the Yangtze River Delta region were selected, and the functional value method, willingness-to-pay method, and binary logistic regression model were comprehensively applied to assess ecosystem service values and their influencing factors. The results indicate that: (1) Significant differences exist in ecosystem service values across small-scale rural landscapes, primarily attributable to variations in cultural service values, which constitute the dominant component of the overall value. (2) Cultural service values are manifested in tourists’ willingness to pay, which is closely associated with the configuration types of rural small-scale landscapes. (3) Tourists’ willingness to pay is primarily influenced by their cognition of cultural services and by psychological perception factors. According to the regression results, perceived importance of cultural service protection, concerns regarding damage, levels of tourist satisfaction, and willingness to revisit exert significant negative effects on willingness to pay. (4) High-demand tourism motives exhibit only a weak correlation with willingness to pay. (5) Low-demand motivations significantly suppress willingness to pay. The conclusions serve as a reference for the quantification of small-scale rural landscape values and the examination of mechanisms underlying their multiple influencing factors, as well as for the optimization of rural landscape planning, design, and sustainable management practices. Full article

This systematic review examines the role of rural tourism in promoting sustainable development, focusing on its interaction with forest ecosystems and the essential ecosystem services they provide. A comprehensive literature search across Scopus, PubMed, and Google Scholar identified 142 peer-reviewed articles, analyzed through qualitative synthesis and bibliometric mapping. The review highlights four thematic clusters in rural tourism research: impacts on rural areas, destination management, resident perspectives and cultural sustainability, and emerging themes like place attachment. It emphasizes the reliance of rural tourism on ecosystem services, including provisioning, regulating, cultural, and supporting, especially those linked to forest ecosystems. Examples from Monteverde, Costa Rica, and Tuscany, Italy, illustrate the role of rural tourism in supporting biodiversity conservation, habitat restoration, and sustainable agriculture. However, uncontrolled tourism in forested regions can lead to deforestation and ecosystem degradation, as seen in the Lake District, Masai Mara, and Rajasthan. The review stresses the need for sustainable practices to mitigate the negative impacts of tourism, advocating for an integrated sustainability framework that balances economic, environmental, and governance aspects. Best practices include eco-friendly infrastructure, community participation, and environmental education. The potential of emerging technologies, such as eco-certification systems and smart tourism, is explored to reduce the environmental footprint of tourism. The review calls for stronger policy integration, equitable benefit-sharing, capacity building, and longitudinal research to ensure resilient rural tourism that harmonizes ecosystem conservation with socio-economic development. In conclusion, the integration of sustainable practices and community involvement is crucial for aligning rural tourism with forest ecosystem conservation. Full article

This study examines the relationships among motivation, satisfaction, place attachment, and revisit intention in the context of ecotourism in the Ayabaca Moorlands, a biodiverse Andean ecosystem of high cultural significance in northern Peru. Using a non-experimental quantitative design, data were collected from 350 national and international visitors and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that while motivation does not directly influence place attachment, it significantly affects satisfaction and revisit intention. Results provide empirical evidence that satisfying experiences foster enduring emotional bonds with environmentally sensitive destinations. The study underscores the importance of tourism management strategies that cultivate emotional connections and visitor loyalty while integrating cultural and contextual factors to ensure the long-term sustainability of high-mountain ecotourism. Full article