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Nowadays, the tourism industry is considered the largest and most diverse industry in the world, which can play a significant role in the economic growth and development of a country as the main source of income and employment. In this regard, the purpose of this study is to focus on evaluating the competitiveness indicators of Shiraz city tourism destination based on a combined model.

For this purpose, a questionnaire with 78 questions was used to evaluate the indicators, in which a total of 1,432 tourists participated, including 927 domestic tourists and 505 international tourists. The collected data were analyzed to determine the hierarchical relationship between the indicators using equation structural modeling.

The research findings indicate that the most effective and influential indicators in the field of tourism competitiveness are natural and handmade resources, and the most influential factors are demand conditions and cultural and natural resources. In this hierarchy, each factor affects its previous level and influences the next level.

This study offers significant potential for uncovering credible and robust approaches to further investigate the contextualization of tourism competitiveness on both national and international scales, thereby generating valuable new insights. By conceptualizing the diverse dimensions of tourism competitiveness and delving into the variations in its impacts across multiple levels, this research not only challenges existing notions but also aids destinations in maintaining and enhancing their market position and share over time. This study offers valuable insights and practical implications for both researchers and practitioners in the field of urban tourism. It enhances the understanding of destination competitiveness, informs policy decisions, facilitates benchmarking and best practices, guides strategic decision-making and promotes sustainable tourism development.

In the contemporary 21st century context, the issues of pollution, climate change and over tourism have emphasized that destination management organizations should focus on experiences and quality of life (QoL) of both locals and tourists. Concurrently, local community are actively seeking avenues for improving health and attaining inner peace, which has led to a notable inclination towards travelling to destinations rich with natural environment. This research paper aims to delve into the two intriguing dimensions of QoL, i.e. health and environment. Therefore, the purpose of this study is to explore the influence of the natural environment in urban tourism destinations on the QoL of local communities.

This research adopts a descriptive and exploratory approach, employing qualitative methods through semi-structured interviews with respondents. Thematic analysis, assisted by NVivo (12), was used to fulfil the aim of the study.

The findings of the study unveiled the themes, namely, aesthetic and recreational opportunities, elevated health and well-being, community cohesion, which highlight the influence of natural environment on QoL of community.

Since the inception of the COVID-19 pandemic, there has been a growing emphasis in research on the significance of the natural environment for individual well-being. Moreover, factors such as health, happiness and QoL contribute substantially to the overall ambiance of a destination.

This study aims to analyze the morphological landscape of the urban tourism spaces in the Malioboro Main Street area to predict its future development and to assist in creating effective regional planning policies.

This study uses qualitative grounded theory, typo morphological analysis and place-centered mapping techniques.

From the observation, it was found that each element of the city image area has different components of the urban tourism space’s morphology. The urban tourism spaces in Malioboro Main Street are distributed in a centered, linear and scattered pattern, with zones dedicated to shopping, cultural experiences and cuisine. The specific elements of each zone, such as attractions, accommodations or amenities, determine the type of tourism offered, such as cultural, shopping and culinary tourism.

The study presented here may serve as a helpful guide for regulating and organizing policies that can form a sound basis for policy formulation. It mainly pertains to planning and structuring the Malioboro Main Street area, which currently needs a well-conceived urban tourism landscape development concept.

This study will have practical implications in projecting tourism development in the area through planning and structuring. The study can also be used as a basis and guideline for controlling, organizing and determining regulations and policies, ultimately serving as a wise foundation for policy formulation, particularly in planning and structuring the Cosmological Axis area, especially the Malioboro area.

The discussion of morphology is mainly limited to macro or micro scales, while the discussion of tourism space is generally limited to conceptual development. Conversely, this study aims to explore the unique landscape morphology of the Malioboro Main Street area, which serves as evidence of a productive space for urban tourism by typomorphological analysis through the approach of urban landscape elements, tourism elements and its activities. Thus, it may complement previous studies in urban areas dominated by tourism.

Environmental knowledge management (EKM) has been studied mainly owing to the increasing awareness of environmental issues. Such issues have generated a warning in the tourism industry that has stimulated a new wave of research on EKM. EKM forges landscape characteristics and so destination image. In turn, EKM sounds affecting tourism destination which calls for destination personality which shows a research context less explored. From a knowledge management perspective, The present research aims to investigate on EKM to understand how it leverages tourists' and destination personality.

With the intent of exploring EKM, the research uses a quantitative analysis on a sample of 2,222 young Chinese tourists. In this context, EKM is linked with destination’s personality and tourists’ personalities, their satisfaction with the destination and their behavioral intentions.

By SPSS regression model, EKM and destination personality are positively linked. This positive relationship is also reflected on destination personality and destination satisfaction, behavioral intention.

The authors’ original contribution to the knowledge management literature extends the new wave of research on EKM. The research also proves the need to make a close collaboration between tourists, the local community and marketers. Marketers need to pay more attention to what tourists want to do and see in the place visited. In a nutshell, there is the need of enforcing and promoting EKM.

Short-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.

This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.

The findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.

Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.

This paper aims to give meaning to the smart tourism destination (STD) certification, highlighting its main advantages and limitations. The case of Medellín (Colombia) presents characteristics worth studying. The city has suffered from stigmatization and has recently started the steps to become an STD with the Spanish company Segittur (December 2020). Thus, this study aims to focus on the implications of the STD process, especially in an area that has been impacted by tourist activity.

This paper is a qualitative and exploratory case study about Medellín in Colombia and its tourism development in an STD framework. After a theoretical exploration of the STD from an urban perspective, the paper will present a multiple data corpus to analyze the city’s certification process to turn into an STD. This methodology explores stakeholders on the destination, including an observation, and allows us to obtain an overview of the implications of the STD certification for Medellín.

During the past decade, Medellín passed from a dangerous destination to a trendy destination. Findings reveal interesting results, considering the need to consider all aspects of territory as a central issue for the STD settlement and look beyond a technological approach.

This paper lets to understand better the STD process established by the institution. Moreover, it highlights the gap between the coveted certification to become the first STD in Colombia and the realities of a Latin American territory.

Este articulo pretende dar un significado a la certificación de destino turístico inteligente (DTI), destacando sus principales ventajas y limitaciones. El caso de Medellín (Colombia) presenta características relevantes de estudio. La ciudad ha sido ampliamente estigmatizada y recientemente ha iniciado el proceso de certificación para convertirse en destino turístico inteligente con la entidad española Segittur (dic. 2020). Dicho esto, queremos enfocarnos en las implicaciones de este proceso, especialmente en un área que ha sido impactada por la actividad turística.

Este artículo comprende un estudio cualitativo y exploratorio sobre Medellín en Colombia y su desarrollo turístico en un marco de DTI. Luego de una exploración teórica del destino turístico inteligente desde una perspectiva urbana, el artículo presentará un corpus de múltiples datos para analizar el proceso de certificación de la ciudad en su conversión en una DTI. Nuestra metodología explora a los stakeholders sobre el destino, incluyendo una observación, y nos permite obtener una visión general de las implicaciones de la certificación DTI para Medellín.

Durante la última década, Medellín pasó de ser un destino denominado de alto riesgo a un destino altamente recomendado. Los hallazgos revelan resultados interesantes, mostrando la necesidad de considerar todos los aspectos del territorio como un tema central para el asentamiento del DTI y mirar más allá de un enfoque tecnológico.

Este trabajo permite tener una mejor comprensión del proceso de DTI establecido por la entidad Segittur. Además, resalta la brecha existente entre la deseada certificación y las realidades de un territorio latinoamericano.

Meetings, incentives, conferences and exhibitions (MICE) tourism has established as a tourism segment that is growing in popularity. It is less seasonality dependent, promotes the offer of services and contributes to the development of the sector. Therefore, this study aims to analyze the competitiveness factors for the improvement of MICE tourism in the city of Mazatlan.

It was developed with a mixed approach, using quantitative and qualitative data collection techniques, such as interviews with experts, surveys of stakeholders in the tourism sector and documentary analysis. Based on the theoretical review, the following four competitiveness factors were defined for MICE tourism: 1) resource factors, 2) destination management factors, 3) conditioning factors of the environment and 4) conditioning factors of the demand, applying and importance-performance analysis.

The results indicate that the factors of competitiveness in the case of the study that had greater importance and better performance are the conditioning factors of the demand and resource factors. However, the development and implementation of comprehensive destination management strategies are required to improve this segment, as well as giving due importance to taking into account the important conditioning factors of the environment.

This study makes a theoretical contribution to the literature on the competitiveness of tourist destinations in the MICE segment by identifying the factors for its development, as well as the practical implications for the specific case study. In addition to this, it was identified that there are few empirical studies that analyze the factors that contribute to improving the competitiveness of this segment.

The study’s purpose is to investigate the constraints and facilitators influencing skiing participation in Beijing. This research includes three segments based on the frequency of skiing participation (i.e. non-, low-frequency-, and high-frequency skiers). By doing so, the study offers an enhanced understanding of the Chinese skiing market and unveils insights assisting industry professionals to effectively address their customers' diverse needs and expectations.

An online survey was developed based on prior research and consisted of four sections: (1) skiing participation; (2) constraints; (3) facilitators; (4) demographics. Items in the constraint and facilitator scale were measured using a 7-point Likert scale. A total of 409 participants completed the survey. The participants included 137 non-skiers, 134 low-frequency skiers, and 138 high-frequency skiers.

Through an exploratory factor analysis, three constructs emerged: general constraints, facilitators and learning constraints. As expected, facilitators were a positive predictor of skiing participation. Importantly, the emergent construct of learning constraints was a negative predictor of skiing and yet, the construct of general constraints was insignificant. Furthermore, the three segments differ significantly in household status, income, and education level.

These results support previous research noting the relevance in skiing participation of the dimensions: facilitators and learning constraints. The findings point to the need for ski resorts in Beijing to offer instructional sessions for beginners so they may become familiar with skiing fundamentals and enhance their confidence, particularly among nonskiers and low-frequency skiers.

By adopting a cultural lens, this study aims to conceptualize destination-community hospitality to capture societal hospitality at the destination as an intangible asset. Destination-community hospitality comprises a set of attitudes and traits that are organically conveyed by community members and directly experienced by tourists. The paper contributes to efforts aimed at freeing hospitality from the confines of commercial lodging and food and beverage establishments.

This study proposes an affection–attention–awareness (AAA) framework by drawing on the pertinent literature and leveraging the affective–behavioral–cognitive model of attitudinal change. It focuses on the effects of cognition in conceptualizing destination-community hospitality as the core of the framework. Methodologically, the framework is illustrated with qualitative data including observational fieldwork and interviews conducted in Iran.

Illustration of the AAA framework in the context of Iran highlights how welcoming attitudes are leveraged at a destination as an ingrained community mindset even in the absence of formal initiatives or professional training. It underscores the hospitality advocacy role of local-community members irrespective of public-sector policy and capacity deficiencies.

Destinations that strive to attract tourists should tap into the significant wealth of intuitive hospitality within communities as an intangible resource. The ingenuity should be preserved to sustainably enhance the overall tourist experiences. The framework can serve as a guide to strategically facilitate destination-community hospitality.

Research on community-wide hospitality at destinations, as a major cultural asset in the context of strategic hospitality management, remains underdeveloped. With illustrative evidence, the findings elevate the critical role of community members as innate advocates of hospitality in developing destinations. The proposed framework of destination-community hospitality provides a new perspective and impetus for investigating hospitality beyond commercial domains.