Abstract This paper evaluates the Smart Tourism Destination indicators and Standards for Sustainable and Smart Cities applied in Tourist Resorts in São Paulo State, Brazil, through the “DTI-BR Model”. This model selects the most suitable indicators for the Brazilian context, drawing on sources like SEGITTUR (the Spanish State-owned Company for the Management of Innovation and Tourism Technologies) and the Brazilian Technical Standards for Smart Cities. The study emphasizes the importance of using indicators to assess and standardize the evaluation of municipal tourism departments, highlighting their role in optimizing tourist resources, and underscores the necessity for tourist destinations to comprehend and integrate these indicators fully to improve service quality, environmental management, and the overall tourist experience. The process of standardizing these indicators not only allows for effective comparisons across various destinations but also aids in identifying and adopting best practices. This approach is poised to make significant contributions towards the sustainable development of tourism by promoting the conservation of both natural and cultural resources, alongside stimulating local economic growth. By understanding and implementing these indicators, tourist destinations can enhance the quality of their services, environmental management, and tourist experience. Moreover, standardizing indicators facilitates comparison across different destinations and the identification of best practices. This can significantly contribute to the sustainable development of tourism, promoting the conservation of natural and cultural resources, as well as boosting the local economy. Therefore, the adoption of Smart Tourism Destination indicators and standards for sustainable and smart cities is crucial for fostering responsible and high-quality tourism.

Abstract Ports are some of the most significant entry points for Greek tourism investments and can be characterized as “development tools” for the country, both at the local and national level. The blue economy is a recent example of economic development, globally promoted as a way to achieve sustainability in maritime and coastal areas. Linaria Port has been accredited by the United Nations as “the blue port with a shade of green” , constituting an environmentally sustainable community capable of promoting responsible environmental behavior both within the local community and among tourists. The port has been highly competitive in achieving high sustainability standards and mainly operates in ways that complement environmental quality. It has presented innovative, competitive, and sustainable solutions since 2010. This research aimed to collect primary and secondary data on tourist preferences to evaluate these services. Evaluation was conducted through anonymous questionnaires divided into two parts: the first part concerned the tourist profile, and the second part concerned tourists’ opinions on the services and facilities of the port and the island. In the evaluation of the port, 91% of respondents rated the marina positively compared to other ports in the country, while 77% ranked the port of Skyros in a good position compared to other European or international ports. The overall quality of the tourist product was positively evaluated at 89%, while 90% of visitors were generally satisfied with the overall services offered. Moreover, 95% would return to Skyros within the next few years.

Abstract In many countries of the world, sustainable tourism is developing rapidly, and therefore the application of innovative environmental technologies is becoming an integral part of the development strategies of hospitality industry enterprises, especially hotel business. This trend promotes the introduction of new management systems based on the principles of sustainable development, including resource-saving technologies. In the work, the existing environmental management tools are analyzed and comparative studies of the essence of the application of “green” innovations are conducted using the example of the hotel business enterprises of the Republic of Azerbaijan and the Russian Federation.Studies have shown that the implementation of such innovations and eco-technologies in hotels demonstrates their commitment to environmental responsibility, improves the guest experience, helps save resources and acts as an additional advertising tool. Technological re-equipment and the use of modern materials aimed at reducing the burden on the environment ensure the economic efficiency of hotel business enterprises and increase their competitiveness.

Abstract This study aims to examine the attractiveness of travel photos on social media and understand the relationship between travel photo sharing on social media and destination choice intention. A mixed methodology is used in this study. Twenty-nine semi-structured interviews and thematic analysis were conducted. The attractiveness of key travel photos was categorised as ‘nature & landscape’, ‘way of life’, ‘architecture/buildings’ and ‘people’ and these categories affected the future destination choices of social media viewers. This quantitative study uses data collected from 388 respondents via convenience sampling. Findings showed that the attractiveness of travel photos on social media exerts a significant effect on destination choice intention. In addition, celebrity-generated content mediates the relationship between travel photos and future destination choice intention. Destination marketers can promote places through the four identified travel photo categories using social media channels with celebrity-generated content.

Abstract The worldwide tourism industry alone expanded by 3.9% in 2018, contributing $8.8 trillion in sales and 319 million jobs to the global economy. The COVID-19 pandemic, which began to spread around the planet in 2020, had an impact on every aspect of life. Though many studies have explored COVID-19’s effects on tourism SMEs in Nepal, there’s a significant lack of research on their crisis management strategies during the pandemic. Thus, this study aims to measure the crisis management techniques used by small and medium-sized businesses (SMEs) in the Boudha Area during the COVID-19 epidemic. The study uses an explanatory research design to analyze a comprehensive understanding of how the Boudha Area’s SMEs in the tourism industry handled the crisis of SMEs in the Kathmandu Valley. Non-probability with convenient sampling is used for the study. Data is collected through 403 SMEs using a structural questionnaire, and data collection is done using Kobo Toolbox. Structural Equation Modeling (SEM) using Partial Least Squares (PLS) version 4.0 is adopted for data analysis. The result shows a significant relationship between cost control and expected assistance with crisis management, while marketing and organizational support have an insignificant relationship with crisis management. Similarly, during COVID-19, 90.82% of the businesses had closed their businesses, and 47.89% of SMEs had closed for 3 months. Additionally, 88.09% of SMEs faced losses during COVID-19, and to maintain the crisis 46.4% of SMEs used their income to handle crises during COVID-19, and 93.3% of SMEs reduced their expenses to manage the crisis.

Abstract Tourist hotels (or tourist accommodations) are located near tourist attractions, primarily serving tourists. In recent years, with the gradual improvement of people’s living standards around the globe, tourists’ demands and standards for tourist hotel construction have been rising accordingly. In the context of technologization and informatization, various hotel booking platforms (Agoda, Booking, Trip, etc.) cover a large amount of review data in evaluating systems to reflect tourists’ demands. Meanwhile, identifying demand-oriented reviews and extracting core consumer demands from them is crucial for optimizing hotel services and enhancing tourist satisfaction. Therefore, this study explores the demands of tourists in tourist hotels from the perspective of text sentiment analysis and takes Macao, a famous tourist destination, as an example, based on reviews of tourist hotels on the Agoda site platform. Specifics are as follows: (1) Based on pointwise mutual information (PMI) and information entropy (IE), it realizes the identification of sentiment words in the field of tourist hotels and constructs a sentiment dictionary to address the problem of poor relevance between word segmentation results; (2) It summarizes the five types of reviews containing tourist demands (positive, negative, suggestion, demand, and comparison) and their characteristics to solve the ambiguity of texts and further accurately reveal the main demands of tourists; (3) It classifies tourist demands and group similar tourist demands into the same categories to address the problem of multiple expressions for the same demand. The present study provides empirical experiences from Macao’s hotels and contributes to the literature on text sentiment analysis in tourist hotels. Furthermore, the study results could enhance the mining accuracy and provide a detailed summarization of consumer demands and directions for the sustainable optimization improvement of tourist services.