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This research aims to model the existing system of destination competitiveness, identifies leverage points and develop revised model to achieve sustainable competitiveness.

System dynamics is used as method of modeling destination competitiveness. Structure of model utilizes 9-factor model as reference. Leverage points are identified using system archetypes. Revised model is built with resource-based view (RBV). Case study was conducted in Samosir, Toba Lake. Data used are secondary data and results of in-depth interviews.

There are 3 sub-systemic characteristics (archetypes) that hinder competitiveness. They are limit to growth quality gap, fix that fails infrastructure and promotion, tragedy of common lake pollution. Destination was unable to meet tourist expectations. Tourists spending decreased, demand size was small. Industries are unable to increase capabilities. Professionals, entrepreneurs, local workers, supporting industries are less interested in entering industry. Government policies do not match with destination's needs. Lake as main attraction is getting polluted. To achieve sustainable competitiveness, destination must utilize their valuable, rare and inimitable (VRI) resources and capabilities to design unique experiences for tourists, hence sustainable.

Government policy should be shifted to prioritizing development of valuable, rare, inimitable and well-organized resources and capabilities of destination, to produce unique tourist experience and achieve sustainable competitiveness.

Methods and findings, combining system dynamics, system archetype, 9-factor model and RBV to achieve sustainable competitiveness is novel and can enrich tourism sustainable competitiveness theory/concept.

This study aims to provide a systematic review of the literature on destination competitiveness. It explores research themes and approaches, and outlines an agenda for future research.

One hundred and eighty-three journal articles on destination competitiveness published in English since 2010 were collected. Content analysis was performed.

The authors found that sustainable development and smart tourism were popular themes related to destination competitiveness. Recent studies still relied heavily on Ritchie and Crouch’s (2000) model or Dwyer and Kim’s (2003) model. The authors also offer constructive insights for future research, proposing that research seek more input from residents, take an advanced integrated approach between supply and demand, adopt more core theories, focus on less researched types of destinations, explore the further contribution of smart tourism and adopt a negative lens to study the antecedents and consequences of destination competitiveness. The adoption of a longitudinal study approach is also suggested.

This paper contributes to the literature because of the scope of its review and perspective of discussion. Previous review papers have only focused on the factors and indicators of tourism destination competitiveness in different settings. We extend our literature review to research themes and approaches, and make suggestions for future research directions.

本研究对目的地竞争力相关的文献进行了系统性回顾, 以探讨研究主题、方法和未来议程。

本研究收集了自2010年以来以英文发表的183 篇关于目的地竞争力的期刊文章, 并进行了内容分析。

我们发现可持续发展和智慧旅游是与目的地竞争力相关的热门主题。近期的研究仍然主要依赖Ritchie 和Crouch（2000）的模型或Dwyer和Kim（2003）的模型。我们为未来的研究提供了建设性的意见, 建议研究寻求更多居民的意见, 采取进阶的供给与需求的综合方法, 采用更多的核心理论, 关注较少研究过的目的地类型, 探索智慧旅游的进一步贡献, 并采用反向的视角来研究目的地竞争力的前因和后果。我们还建议采用纵向研究的方法。

本研究在评论的范围和讨论的角度对文献作出了贡献。以往的文献综述性文章只关注不同环境下的旅游目的地竞争力的因素和指标。我们在回顾研究主题、方法和对未来研究的建议等方面进行了扩展。

Se recopilaron ciento ochenta y tres artículos de revistas sobre la competitividad de los destinos publicados en inglés desde 2010. Se realizó un análisis de contenido.

Este estudio presenta una revisión sistemática de la bibliografía sobre la competitividad de los destinos. Se analizan temas y enfoques de investigación y se presenta una agenda para futuras investigaciones.

Se constató que el desarrollo sostenible y el turismo inteligente eran temas populares relacionados con la competitividad de los destinos. Los estudios recientes siguen basándose en gran medida en el modelo de Ritchie y Crouch (2000) o en el de Dwyer y Kim (2003). Se presentan ideas constructivas para futuras investigaciones, proponiendo que las investigaciones se centren en más aportaciones de los residentes, adopten un enfoque integrado avanzado entre la oferta y la demanda, se basen en mayor medida en las teorías fundamentales, se centren en tipos de destinos menos investigados, exploren la contribución adicional del turismo inteligente y adopten una óptica negativa para estudiar los antecedentes y las consecuencias de la competitividad de los destinos. También se sugiere la adopción de un enfoque de estudio longitudinal.

Este trabajo contribuye a la literatura por el alcance de su revisión y la perspectiva de la discusión. Los trabajos de revisión anteriores sólo se han centrado en los factores e indicadores de la competitividad de los destinos turísticos en diferentes entornos. Se amplía la revisión de la literatura a temas y enfoques de investigación, y se plantean sugerencias para futuras direcciones de investigación.

This study aims to provide current and organised insights into past published studies on tourism destination competitiveness (TDC) in the past decade through systematic literature analysis.

A comprehensive review was performed by systematically gathering the literature published from 1983 to 2021 and coded according to categories such as author, year, article title, name of journal and TDC determinants.

The key findings of this review reveal that no universal set of items, attributes or indicators to measure the competitiveness of tourism destinations exists; the complexity and variability of many definitions and measuring elements from various perspectives portray the multi-faceted concept of competitiveness; and synergistic connection between the source of comparative and competitive advantages of TDC focusing on destination image, tourism experience and loyalty.

Research works considered in the study are only from indexed and peer-reviewed journal publications.

The study findings reveal a lack of studies that address the relationship between destination image, tourism experience and loyalty within the TDC realm. Future studies should consider complementing the tourism supply and demand side to avoid a “strategic drift” of TDC concepts, perceptions and practices.

The current study is designed to investigate the factors that foster the framing of destination competitiveness and establish the factors that drive the contribution of tourism innovations to economic growth in smart tourism destinations.

A four-year panel data were extracted from the World Economic Forum's travel and tourism competitiveness index and data were analysed using Poisson Pseudo Maximum Likelihood regression model.

The findings demonstrate that both the enabling environment and airport infrastructure significantly affect tourism's impact on the economy of the selected smart European tourism destinations. Conversely, human resources and general infrastructure display a negative correlation with tourism's contribution to the economy. However, no data in the sample support the idea that tourism policies, government prioritization or readiness of tourism information and communication technologies impact tourism's contribution to the economy. Additionally, the marginal effects indicate that improving the enabling environment and airport infrastructure can generate additional benefits for the economy through tourism.

The uniqueness of this study is the integration of smart tourism destinations with the measure of destination competitiveness to provide an empirical bridge that links tourism competitiveness to economic growth.

This paper aims to identify factors that affect the sports tourism destination's competitiveness on a small island. Hence, this study looks at and evaluates these factors. The study then comes up with a model that clarifies the interrelationships between these factors.

The authors broke down the data analysis process into three steps. The first step was to conduct a literature review and use industry and academia experts' help to determine the essential aspects (fuzzy Delphi method). Then, a hierarchical model was developed, and the factors were categorised using the interpretive structural modelling (ISM) approach. Factors' driving and dependency power were also determined using MICMAC analysis.

This work has identified 13 key factors related to the sports tourism destination's competitiveness on a small island. For a small island like Kish Island, the two independent variables (government support and destination political stability) that define the institutional framework for the destination are most important. Building corresponding competitive and support strategies to address these two independent variables is thus beneficial.

The research's results provide decision-makers, practitioners, and researchers with new insights into the hierarchical model of determinants. The study will fill the existing gap between theory and practice.

Sports tourism destination managers on small islands may benefit from the proposed model since the model will enable them to organise the managers' priorities better to enhance the managers' destinations' competitiveness and provide tourists with a more accurate depiction of the destination.

According to the authors' knowledge, the research design presented in this article has provided the first attempt to hierarchical analyse these factors and develop a model for sports tourism destination competitiveness on small islands and destinations with less-developed economies. This study fills the gap in the destination competitiveness and sports tourism literature by not only identifying the key influencing factors but also examining the interactions between these factors and providing empirical evidence supporting their relationships.

This research aims to explore the potential of big data technology for sustainable management and investigate its impact on tourism. Its goal is to obtain meaningful results related to sustainable tourism to understand better how big data technology plays a role in decision-making by looking at it through the lens of various studies.

A systematic review, which is a qualitative method, was used in this study. The analysis was conducted using secondary data from the Web of Science Core Collections databases.

Big data technology has many economic benefits for businesses, but it also has managerial benefits such as forecasting, decision-making and tracking human and machine behaviour. Furthermore, big data technology offers sustainability benefits such as resource efficiency, preventive quality systems, carbon reduction and environmentally friendly production.

Big data's capabilities enable businesses to make more informed business decisions, improve overall business performance and contribute to achieving various SDGs. Big data, which aids in developing smart and sustainable tourism in the tourism sector, assists tourism managers in making economically, socially and environmentally sound decisions.

Although many studies addressed destination marketing concepts, the relationship between self-identification, memorable tourism experiences, overall satisfaction, and destination loyalty in small island destinations remains unknown. To address this issue, the authors established a model based on social identity theory to investigate the effects of self-identification on overall satisfaction and loyalty, taking into account the mediating role of memorable tourism experiences.

Drawing on 335 useable questionnaires from the visitors of Princes' Islands in Turkey, a quantitative study approach was administrated to empirically analyze a partial least squares path model in PLS-SEM.

The findings revealed that self-identification positively affects memorable tourism experiences, overall satisfaction, and destination loyalty. The findings also confirm the indirect effects of self-identification on overall satisfaction and destination loyalty through mediating the role of memorable tourism experiences.

The findings of the study will be useful both theoretically and practically. Theoretically, this research will be important to determine tourist behavior through the viewpoint of self-identification in the context of a small island destination. Practically, the findings of this study will assist small island destinations' policymakers and practitioners to develop strategies and make effective future actions.

This is the first study that uses a complete structural model linking self-identification, memorable tourism experiences, overall satisfaction, and destination loyalty.

Examining emotional solidarity that drives tourists’ nostalgia has received significant attention, offering valuable insights that can aid in the selection of a travel destination. However, tourists’ nostalgia, along with its antecedents—perceived safety risk and emotional solidarity, has gained less attention within the setting of Pakistan. Therefore, this research has been carried out and validated a research framework using the stimulus-organism-response model to investigate the links between perceived safety risk, emotional solidarity—welcoming nature, emotional closeness, sympathetic understanding, perceived nostalgia, and destination advocacy intentions. In addition, this model employed destination attachment—place identity and place dependence—as a boundary condition on the relationships between emotional solidarity and advocacy intentions.

This study collected 545 responses through two methods: offline distribution of print copies of the questionnaire and online surveys from domestic tourists who visited scenic destinations last year. Structural equation modeling (SEM) was performed using AMOS 26, and the PROCESS macro was conducted using IBM SPSS 28.

The findings highlighted that perceived safety risk negatively influences emotional solidarity—welcoming nature, emotional closeness, sympathetic understanding—, resulting in a positive effect on perceived nostalgia. Furthermore, tourists’ perceived nostalgia positively triggers advocacy intentions. The findings also confirmed the boundary conditions of destination attachment—place identity and place dependence—on the association between emotional solidarity and perceived nostalgia.

Three major practical implications of these findings: First, ensuring visitor safety with smart security measures, digital tools for quick response, and local community involvement. Second, highlighting local markets, art, and architecture to enrich cultural experiences and promote accessibility and diversity. Finally, using marketing to generate nostalgic experiences through local collaborations, professional storytelling, and engaging social media content to build emotional ties and curiosity.

In terms of originality, this is pioneering research intended at developing and validating the model in the context of Pakistani destinations. Furthermore, this marks the initial step in examining the proposed relationships between perceived safety risk and emotional solidarity in fostering tourists' perceived nostalgia, ultimately leading to a strong desire to advocate for the destination.

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.

This chapter examines the competitiveness of the tourism cluster in the United Arab Emirates (UAE) by applying Porter's competitiveness of nation diamond model, with its four dimensions: factor conditions, demand conditions, the related and supporting industries, and, lastly, the firm's strategy and rivalry. Specifically, we provide a thorough analysis of the UAE's strategic plans, initiatives, and tactics to cultivate competitiveness in tourism across the nation. This includes the draft of a vision for the nation, decisions to build and reinforce their infrastructure, determination to develop and nurture skilled workforce, ability to respond innovatively to their customers' evolving demands, selection of the appropriate base for competition, and, finally, continuous melioration of related industries. Examining secondary data and by reviewing governmental reports, we find that UAE did not cultivate a national advantage by owning random natural resources, but rather by having a strategic intent to converge all their efforts and to deliberately build a coherent cluster in the tourism sector. The chapter also provides some limitations and recommendations for future research.