Search Results (91)

Mobile technologies are rapidly growing and shaping the tourism industry. Nonetheless, remote locations have specific characteristics that could restrain the deployment and use of technologies and jeopardize the sense of safety, affecting tourism experiences. There is a lack of empirical research that studies the importance of mobile technologies and security networks in remote destinations. A survey based on the Technology Acceptance Model (TAM) was conducted on 738 tourists during their stay in the Autonomous Region of the Azores, a nine-island Portuguese archipelago, to analyze the importance and impact of mobile technologies and security services. Since tourists have a high intensity of smartphone usage during their stay (86% use mobile internet and almost 50% use smartphones once per hour), mobile communication services and technologies need to be in place. Internet access and Wi-Fi are highly important for tourists for browsing and messaging, especially in urban areas, but also in rural and maritime areas. The availability of emergency and security networks is critical for destination selection and to engage in tourism activities. This paper contributes to the study of mobile tourism in remote destinations, with inputs regarding tourists’ behavior, and has implications for governance and industry stakeholders regarding destination management and the creation of meaningful and sustainable experiences with a high value for digital and smart tourists in the post-pandemic era. Full article

The rapid integration of artificial intelligence (AI) and smart technologies is transforming hospitality operations, yet guest acceptance remains uneven, shaped by utilitarian, experiential, ethical, and cultural evaluations. This study develops and empirically tests a multicomponent framework to explain how these factors jointly influence two behavioral outcomes: whether AI-enabled features affect hotel choice and whether guests are willing to pay a premium. A cross-sectional survey of 689 hotel guests in Tirana, Albania, an emerging hospitality market and rapidly growing tourist destination in the Western Balkans, was analyzed using cumulative link models, partial proportional-odds models, nonlinear and interaction extensions, and binary robustness checks. Results show that prior experience with smart or AI-enabled hotels, higher awareness, and trust in AI, especially trust in responsible data handling, consistently increase both acceptance and willingness to pay. Perceived value, operationalized through the breadth of identified benefits and desired features, also exhibits robust positive effects. In contrast, privacy concerns selectively suppress strong acceptance, particularly financial willingness, while cultural–linguistic fit and support for human–AI collaboration contribute positively but modestly. Interaction analyses indicate that trust can mitigate concerns about reduced personal touch. Open-ended responses reinforce these patterns, highlighting the importance of privacy, human interaction, and staff–AI coexistence. Overall, findings underscore that successful AI adoption in hospitality requires aligning technological innovation with ethical transparency, experiential familiarity, and cultural adaptation. Full article

Smart Tourism Destinations (DTIs) represent innovative places established on the basis of an infrastructure of advanced technology, whose objective is to promote accessible, sustainable development for tourist regions to enrich tourist’s experiences and inhabitants’ quality of life. Therefore, the main objective of this research is to verify whether the phenomenon indicators of existing smart tourist destinations fit within all dimensions of a smart tourist destination. For data collection, the bibliographic survey method was used in renowned databases. Data analysis comprises two approaches, bibliometric and content analysis, applied sequentially. The results of the bibliometric analysis identify three main pillars in the current perspectives on DTIs: Management and Tourism Experience, Technology, and Sustainability, in addition, it revealed a duality between approaches from the Far East and Western Europe. The content analysis culminates in the proposition of two theoretical-conceptual models for the dimensions and indicators of DTIs, encompassing elements: Information and Communication Technologies (TICs), Governance, Innovation, Accessibility, Performance, Mobility and Infrastructure, as well as Segmented Sustainability in its economic, social, and environmental dimensions. However, the analysis highlights the lack of consensus among studies, especially DTI indicators. The results of the research highlight the insufficiency of these indicators for a comprehensive assessment, notably in the environmental dimension of sustainability. Full article

Digital twins are emerging as promising yet underexplored tools for addressing overtourism, sustainability, and governance challenges in tourism. This study assessed their acceptance using a mixed-methods design that combined a large-scale survey of tourists (N = 1286) with semi-structured stakeholder interviews across four Spanish destinations (Barcelona, Málaga, Valencia, and Benidorm). Factor analyses validated a six-dimensional acceptance model comprising trust, usefulness, ease of use, perceived risks, sustainability attitudes, and awareness. The quantitative results demonstrated that trust, usefulness, and ease of use strongly predicted adoption intentions, while risk perceptions negatively influenced acceptance. Sustainability orientations and digital familiarity further enhanced support. Qualitative insights revealed that governance capacity, equity concerns, and readiness critically shaped stakeholder evaluations, highlighting that adoption is mediated not only by individual perceptions but also by local infrastructural and institutional contexts. The study advances technology acceptance theory by integrating sustainability and awareness as domain-specific constructs and by showing how governance dynamics condition adoption across destinations. Practically, it underscores the need for institutional trust, transparent risk management, equitable participation, and alignment with sustainability agendas. While limited to Spanish destinations, the findings offer broader lessons for European cities seeking to embed digital twins in tourism governance. Full article

Contemporary digital technologies have become key instruments in enhancing the security and sustainability of tourist destinations. This study explores the role of digital solutions such as smart surveillance systems, mobile applications, artificial intelligence, and the Internet of Things (IoT) in strengthening tourist safety and supporting long-term sustainable development. The theoretical framework is based on the Norm Activation Model (NAM), employing the constructs of Awareness of Consequences, Ascription of Responsibility, Personal Norms, and Behavioral Intention, expanded by the construct of Sustainability Outcomes. This research was conducted as a comparative case study of Almaty (Kazakhstan) and Belgrade (Serbia), using a structured questionnaire and quantitative analysis. The findings indicate that tourists’ perceptions of security, mediated by digital technologies, significantly shape their behavioural intentions and contribute to sustainable destination outcomes. The study provides theoretical implications for the advancement of the NAM in tourism, as well as practical guidelines for destination managers in developing a safe and sustainable environment. Full article

In the era of big data, the rapid proliferation of user-generated content enriched with geolocations offers new perspectives and datasets for probing the spatiotemporal dynamics of tourist mobility. Mining large-scale geospatial traces has become central to tourism geography: it reveals preferences for attractions and routes to enable intelligent recommendation, enhance visitor experience, and advance smart tourism, while also informing spatial planning, crowd management, and sustainable destination development. Using Mount Huangshan—a UNESCO World Cultural and Natural Heritage site—as a case study, we integrate GPS trajectories and geo-tagged photographs from 2017–2023. We apply a Density-Field Hotspot Detector (DF-HD), a Space–Time Cube (STC), and spatial gridding to analyze behavior from temporal, spatial, and fully spatiotemporal perspectives. Results show a characteristic “double-peak, double-trough” seasonal pattern in the number of GPS tracks, cumulative track length, and geo-tagged photos. Tourist behavior exhibits pronounced elevation dependence, with clear vertical differentiation. DF-HD efficiently delineates hierarchical hotspot areas and visitor interest zones, providing actionable evidence for demand-responsive crowd diversion. By integrating sequential time slices with geography in a 3D framework, the STC exposes dynamic spatiotemporal associations and evolutionary regularities in visitor flows, supporting real-time crowd diagnosis and optimized spatial resource allocation. Comparative findings further confirm that Huangshan’s seasonal intensity is significantly lower than previously reported, while the high agreement between trajectory density and gridded photos clarifies the multi-tier clustering of route popularity. These insights furnish a scientific basis for designing secondary tour loops, alleviating pressure on core areas, and charting an effective pathway toward internal structural optimization and sustainable development of the Mount Huangshan Scenic Area. Full article

This study applied the Stimulus–Organism–Response Theory to investigate the impact of sustainable destination management on perceived luxury service quality, taking into account the mediating role of perceived environmental responsibility and the moderating effect of tourist environmental awareness. Data were obtained from 541 tourists in Northern Cyprus, and the analysis was conducted using Herman’s single-factor test in SPSS version 23 and partial least squares structural equation modeling in SmartPLS version 4.1.1.2. The study’s results revealed a significant positive influence of sustainable destination management on both perceived luxury service quality and environmental responsibility. Furthermore, the study showed a significant positive relationship between perceived environmental responsibility and perceived luxury service quality. Additionally, tourist environmental consciousness was found to be an important influencing factor in perceived luxury service quality. The mediating role of perceived environmental responsibility was revealed to be a significant partial mediator between sustainable destination management and perceived luxury service quality pathways. Although environmental awareness revealed an insignificant moderating influence on the relationship between sustainable destination management and perceived luxury service quality, it indicated a negative significant moderating influence on the relationship between perceived environmental responsibility and perceived luxury service quality. The study highlights how assessments of luxury services are contingent upon perceived environmental responsibility through sustainable destination activities. Emphasizing both academic and management perspectives, it encourages future research to explore broader psychological and contextual factors. Therefore, it underscores the strategic necessity of sustainability in enhancing the luxury tourism experience. Full article

Modern software solutions have a multiplicative effect on enhancing quality of life across various urban sectors, including the environment, education, public health, security, transportation, time efficiency, employment, and other key aspects of city living. This article addresses a specific issue concerning the organisation of leisure activities for both local residents and tourists, using the Chechen Republic as a case study. In response, the study aimed to develop a digital solution to address this challenge, with potential for integration into the Republic’s unified digital ecosystem. By employing system analysis methods, the authors identified the key objects and stakeholders involved in the problem domain. They also defined the software product’s functionality and classified user categories. Using Unified Modelling Language methods, a use case diagram was developed to illustrate the conceptual operation of the system. Furthermore, object-oriented design methods were applied to create a user interface prototype for the software product. As a result, a digital service was developed that enables users to create personalised leisure routes, taking into account individual goals, time constraints, traffic conditions, and the real-time status of urban infrastructure. The resulting software solution is both customisable and scalable. The article also presents selected examples of project development. Full article

This study examines the key factors that influence tourists’ perceptions of destination quality and loyalty in the context of adventure tourism in Santa Elena, Ecuador, an emerging destination in Latin America. A quantitative approach was used, with data collected through an online questionnaire completed by 318 participants. Structural equation modeling was conducted using SmartPLS 4 to examine the relationships between motivational constructs (intellectual curiosity, health assurance, stress relief, physical condition, and social connection), perceived destination quality, and loyalty. The findings reveal that health assurance (β = 0.395, p < 0.001), stress relief (β = 0.417, p < 0.001), and intellectual curiosity (β = 0.143, p = 0.010) significantly influence perceived destination quality, while social connection and physical condition did not show significant effects. Moreover, perceived destination quality strongly predicts tourist loyalty (β = 0.634, p < 0.001). The model explains 63.5% of the variance in destination quality and 48.1% of that in loyalty. These results highlight the importance of post-pandemic health concerns, emotional well-being, and intellectual engagement as drivers of satisfaction and loyalty in adventure tourism. While existing research has largely focused on motivations and quality perceptions in adventure tourism within developed regions, studies in post-pandemic settings across Latin America—especially using validated structural models—remain scarce. This study also contributes to filling a gap in the literature by analyzing post-pandemic tourist behavior in Latin America, an underexplored context in existing research on sustainable and adventure tourism. The findings offer theoretical contributions to the field of adventure tourism and practical recommendations for destination managers seeking to enhance their competitiveness and visitor retention in the post-pandemic context. Full article

Tourist destination classification is pivotal for enhancing the travel experience, supporting cultural heritage preservation, and enabling smart tourism services. With recent advancements in artificial intelligence, deep learning-based systems have significantly improved the accuracy and efficiency of landmark recognition. To address the limitations of existing datasets, we developed the Samarkand dataset, containing diverse images of historical landmarks captured under varying environmental conditions. Additionally, we created enhanced image variants by squaring pixel values greater than 225 to emphasize high-intensity architectural features, improving the model’s ability to recognize subtle visual patterns. Using these datasets, we trained two parallel YOLO11 models on original and enhanced images, respectively. Each model was independently trained and validated, preserving only the best-performing epoch for final inference. We then ensembled the models by averaging the model outputs from the best checkpoints to leverage their complementary strengths. Our proposed approach outperforms conventional single-model baselines, achieving an accuracy of 99.07%, precision of 99.15%, recall of 99.21%, and F1-score of 99.14%, particularly excelling in challenging scenarios involving poor lighting or occlusions. The model’s robustness and high performance underscore its practical value for smart tourism systems. Future work will explore broader geographic datasets and real-time deployment on mobile platforms. Full article

This study employs the push–pull theory to analyze tourism motivations (push and pull), perceived risk (financial risk and perceived risk), perceived value, educational level and smartphone usage and their effect on willingness to pay (WTP) and electronic word-of-mouth (E-WOM) behavioural intentions in Smart Tourism Destinations (STDs). With a significant sample of 504 respondents in the STD of Cáceres, the push–pull theory is used to assess its impact on smartphone usage. Results reveal that motivations, financial risk, perceived value and educational level positively affect smartphone usage, directly influencing WTP and E-WOM. Managers are advised to prioritize privacy in mobile payments, implement security services against financial risks and promote specialized applications and encourage the personalization of offers through artificial intelligence. Understanding these variables, which explain 41.5% of WTP and 65.8% of E-WOM, provides a basis for strategic decision-making in STDs. Full article

This study examines the impacts of women’s social, political, and psychological empowerment on their participation in civil societies and further its impacts on their entrepreneurial resilience. This study employed the quantitative approach, and data were collected through surveys, which were later analyzed with Smart PLS 4. This study’s findings revealed mixed results. The impacts of psychological and social empowerment on women’s participation in civil societies and their entrepreneurial resilience were significant. The impacts of political empowerment on women’s participation in civil societies and their entrepreneurial resilience were insignificant. The occurrence of disasters is common in tourist destinations, and several studies have investigated it. However, the study on the ripple impacts of disasters on women has not been thoroughly investigated, specifically in the Asian context. Full article

Scientific and practical interest in public and private spheres about motivations in the consumption of local gastronomy is growing globally. In this sense, this research focuses its analysis on the relationship between gastronomic attitude and the motivational dimensions for consuming local foods, based on the gastronomic experience of visitors to the city of Cali, Colombia, an emerging gastronomic tourist destination. This study used a quantitative method; a semi-structured survey was carried out with 362 tourists who visited Cali, Colombia, a gastronomic city in the Délice Global Network. The data were analyzed using Smart PLS-SEM Software Version 4.0 via the partial least squares technique (PLS-SEM). The findings show that a visitor’s gastronomic attitude is a predictor of their motivation to consume local food. Furthermore, among the indicators that explain the gastronomic attitude, the influence of the city’s gastronomy on the visit stands out as the most predominant factor in the visitor’s attitude toward gastronomic tourism. Other theoretical and practical implications are also discussed. Full article

This study analyses the evolution of industrial heritage in the Ciudad Rodrigo region from its initial form to its current role as a cultural asset within the tourism sector. This study identifies and analyses the old mills in the region, distinguishing between those that have been abandoned and those that have been recovered for tourism purposes. Various historical sources have been used to do so, highlighting the Cadastre of the Marquis of Ensenada (mid-18th century). The aim is to determine the impact of this evolution on the local economy, with special attention to the role of tourism as a driver of territorial development through the enhancement of this industrial heritage using tourist routes. The results emphasise the importance of heritage recovery as a strategy to revitalise rural areas, highlighting the importance of tourism in the local economy, and as a key element for the sustainability of the territory. Full article

This research aims to conceptualise the use of the digital twins (DT) tool in tourism to address smart tourist destinations’ future challenges to enhance tourists’ experiences and residents’ quality of life through better services developed by DTs. This paper investigated the use of DT technology to tackle the new challenges facing smart tourist destinations (STDs) in terms of urban planning, sustainability, security, marketing, and tourism activities by using data on this topic from expert researchers and public and private organisations. Also, this research adopted a systematic review approach to analyse and illustrate the existing literature on the topic of DTs and their use for STDs, which helped us develop the DT concept in a STD context. The findings of this research reveal that DT technology is emerging as a disruptive technology tool that is being used to improve the management of STDs in terms of their efficiency, safety, sustainability, environmental protection, productivity, and energy consumption. Moreover, DT technology is a nascent tool in the tourism and marketing industries, but its versatility in relation to its capacity to analyse data and predict the behaviour of tourism and business ecosystems to address relevant issues at STDs gives it a key role in the tourism industry. Finally, a new definition of DT technology has been included in this study within a tourism and STDs context, filling the gap in this topic in the tourism industry according to some researchers’ suggestions. There are limited scientific publications about DT technology that jointly tackle the DT technology and STDs sphere. Accordingly, this manuscript defines DT technology and provides a new viewpoint of this technology that will help to initiate academic discussions on DT tourism within the context of STDs. Full article