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Building on a TripAdvisor data for five Mediterranean destinations, namely, Greece, Croatia, Italy, France and Spain, this study analyses the constituents of restaurants' online reputation and their interrelation with destination competitiveness, in particular two Travel and Tourism Competitiveness Index (TTCI) pillars, namely, Prioritisation of Travel and Tourism and Price Competitiveness.

The analysis has revealed that restaurants' online reputation is positively influenced by two factors, namely, Core elements, i.e. cooking, service and price-quality ratio, and Price. Furthermore, the restaurants' online reputation does not influence destination competitiveness (TTCI) directly, but indirectly throughout its main constituents, i.e. service and price. Price is the only variable with significant influence on overall TTCI. Within the sample of these destinations, Balkan countries, i.e. Greece and Croatia, perform very well in terms of their restaurants' online reputation. On the other hand, considering the overall TTCI rating, their competitive positions are substantially lower than those of Italy, France and Spain.

The study provides new insights into the relationship between gastronomic offer and destination competitiveness, and valuable practical implications for destination and hospitality management. Moreover, this study addresses various gaps in existing research on this topic. Specifically, it validates the reputation elements presented online using TripAdvisor data and analyses the impact of electronic Word of Mouth (eWOM) not only as the outcome variable of other constructs, as is the case in the literature, but also as a central construct of the analysis. In doing so, it extends current research on this topic and fills the gap regarding the inclusion of the supply-side stakeholder perspective, which has long been recognised as necessary in any attempts to measure competitiveness.

Tourism is one of the most important and rapidly growing sectors for economic, cultural and global development of a country. Competition between tourist destinations is increasingly intense and is played internationally in a globalized scenario, where each destination competes with new and different competing destinations. In view of this, the tourism sector has had to equip itself with appropriate decision-making tools for studying and analyzing the competitiveness of the destinations. This chapter focuses on its analysis on the countries bordering on the Mediterranean Sea, one of the areas with the greatest worldwide attractiveness to tourists, characterized by different levels and models of tourism development. There are areas traditionally dedicated to hospitality, considered world leaders (such as France, Spain and Italy) and countries that have grown rapidly in their wake (Croatia and Greece), and on the other, more recently emerged destinations (Egypt, Morocco and Tunisia) that compete very well, focussing on an ‘exotic’ seaside offer accessible to all. The aim of this chapter is to carry out a research on the tourism competitiveness of Mediterranean countries. The analysis is based on the 14 pillars described in the Travel & Tourism Competitiveness Report 2019. In order to see how the 14 pillars of the competitiveness index are grouping on the countries, we applied the principal component analysis and hierarchical cluster analysis.

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.

The development of the tourism and hospitality industry in Belarus has a long-term positive trend. This process is uneven and the growth rate is below the global average. To stimulate the development of the tourism and hospitality industry, measures are being taken in the form of creating visa-free zones, stimulating business activity, holding major sport events. The potential for growth in this industry has not yet been exhausted. The assessment of the competitiveness of Belarus in comparison with the neighboring countries showed that the development of the tourism and hospitality industry requires improvement of the business environment, increase of openness for tourists, strengthening of country marketing in the world tourism market.

This study aims to present diverse proposals for the measurement of tourism destination competitiveness that serve as alternatives to the travel and tourism competitiveness index (TTCI).

The proposal includes principal component analysis, the DP2-distance method, goal programming, data envelopment analysis and the Borda count. The study evaluates 17 destinations from Central America and the Caribbean.

These include the feasibility that the methodologies provide reliable competitiveness rankings and the possibility of using less information due to the strength of the statistical methodologies. International tourist arrivals, income from international tourism and travel and tourism contribution to the gross domestic product could be used as approximations of tourism destination competitiveness.

The main limitation is the absence of major destinations from the region that constitutes fierce competitors.

New aggregation methods can build composite indicators for competitiveness measurement and their presentation in a more comprehensible way.

The results serve as an alternative for countries that have yet to be considered in international tourism competitiveness comparisons.

A better explanatory power of the proposed index is given, thanks to their decomposition capacity and the reduction of the limitations of the original TTCI. Moreover, the proposals facilitate the inclusion of external information or the execution of a completely objective methodology.

本研究旨在为衡量旅游目的地竞争力提出多样化的建议, 并作为旅行和旅游竞争力指数的替代方案。

该提案包括主成分分析、DP₂ 距离方法、目标规划、数据包络分析和 Borda 计数。 该研究评估了中美洲和加勒比地区的 17 个目的地。

结果包括这些方法提供可靠的竞争力排名的可行性, 以及由于统计方法的优势而使用较少信息的可能性。 国际旅游人数、国际旅游收入以及旅行和旅游对 GDP 的贡献可以用作旅游目的地竞争力的近似值。

主要局限是该地区没有竞争激烈的主要目的地。

新的聚合方法可以为竞争力测量建立综合指标, 并以更易于理解的方式呈现。

结果可作为国际旅游竞争力比较中, 衡量尚未考虑国家的替代方案。

由于其分解能力和原始 TTCI 限制的减少, 所提出的指数具有更好的解释力。 此外, 这些建议有助于纳入外部信息及执行完全客观的方法。

El presente estudio busca presentar diversas metodologías para medir la competitividad de los destinos turísticos, de modo que sirvan como alternativa al Índice de Competitividad de Viajes y Turismo.

La propuesta incluye Análisis de Componentes Principales, el método de distancia DP₂, Programación por Metas, Análisis Envolvente de Datos y el Recuento de Borda. Se analizan 17 destinos de Centro América y el Caribe.

Estos incluyen la validez de las metodologías para obtener rankings de competitividad fiables y la posibilidad de emplear menor cantidad de información, dadas las fortalezas de los procedimientos estadísticos propuestos. Las Llegadas de Turistas Internacionales, los Ingresos por Turismo Internacional, y la Contribución del Turismo al PIB podrían ser buenas aproximaciones para medir competitividad turística

La principal limitación es la ausencia de destinos importantes de la región, que se consideran importantes competidores.

Novedosos procedimientos de agregación para crear indicadores sintéticos para medir la competitividad turística y su presentación de un modo más comprensible.

Los resultados sirven como alternativa para otros destinos que aún no han sido considerados en comparaciones internacionales de competitividad turística.

Un mejor poder explicativo de los índices propuestos, gracias a su capacidad de descomposición, y la reducción de las limitaciones del índice del WEF. Además, las propuestas facilitan la inclusión de información externa o la ejecución de un método completamente objetivo.

The purpose of this chapter is to critically evaluate the development of technological infrastructure and the propensity of Latin America and the Caribbean (LAC) destinations to adopt digitalisation in their hotel sectors. This paper focuses on technological readiness, the types of digitalisation and its influence on the hotel sector in a post-pandemic environment.

The chapter is a critical and conceptual overview of digitalisation in the Latin America and the Caribbean hotel sectors, the contribution of the hotel sector to tourism economies, and digitalisation in LAC post COVID-19. A comprehensive examination of the academic literature is combined with the Network Readiness Index (NRI) and Travel and Tourism Competitiveness Index (TTCI) on several LAC countries focusing on different scopes including ICT readiness, ICT environment and business usage from 2010 to 2020. The paper uses empirical data collected from NRI and TTCI on several LAC countries examining changes in development of information and communications technology (ICT) by conducting a longitudinal analysis over a ten-year period.

The chapter argues that digitalisation in the hotel sector has been given a lot of attention regarding the adoption of digitalisation during the pandemic by a continuation of activities involving check-in and check-out, providing safety for guests and staff and the recovery of the hotel sector by both hoteliers and academics. Yet, LAC have been slow when it comes to the development of ICT. This is shown on the NRI and the TTCI by their position on ICT infrastructure, ICT environment and business usage. Nevertheless, while their positions on the indexes are less than favourable, their scores are improving, but at a very slow rate.

Limited academic literature is available on digitalisation in LAC countries. There is no consistent data on the NRI and TTCI year to year for some of the countries examined in this study.

This study provides a comprehensive review of technological infrastructure development of countries of Latin America and Caribbean countries with an emphasis on digitalisation in a hospitality context. The chapter is a critical examination of digitalisation in the hotel sector in a post-pandemic environment.

This study aims to examine the relationships between tourism destination competitiveness (TDC) determinants and tourism performance. This study specifically assessed the soundness of the TDC attributes and evaluated their ability in explaining tourism performance.

The Dwyer and Kim’s (2003) destination competitiveness integrated model (IM) was used. Secondary data of 115 nations available from the Travel and Tourism Competitiveness Index (TTCI) and other international reports were also used. The hypothesised relationships were tested via partial least square-structural equation modelling (PLS-SEM).

This study confirms that the core resources, complementary condition, globalisation and tourism price significantly explain tourism performance. Results have shown differences in the competitiveness level and actual performance among nations, highlighting specific limitations of the current TDC model and TTCI report reliability.

Future study could segment the sample base on destinations characteristic and then analyse it based on smaller sub-samples of similar destinations. Moreover, drivers of destination performance in developed and less develop destinations are quite diverse.

The incorrect competitiveness ranking evaluation will affect inward investment decisions. This study framework enables policymakers to arrive at more informed decisions than merely relying on the original competitiveness rankings.

The widespread acknowledgment of the importance of competitiveness for a tourism destination's success suggests that there is a crucial need for sound benchmarking of countries’ competitive capabilities. The proposed competitiveness determinants aid the policymakers in identifying the best competitiveness and tourism performance predictors, as well as how to identify crucial factors affecting the rankings.

The purpose of this paper is to examine the effect of measures to combat Corona Virus Disease 2019 (COVID-19) pandemic on competitiveness in tourism in Nigeria taking strategic dexterity as the moderating variable.

Survey research design approach was used for the study. A total of 235 valid questionnaires gathered from the personnel of ten urban tourist centres in Nigeria were used to examine the goodness of model fit, measurement model and structural correlations between constructs. Partial least squares structural equation modelling approach (PLS-SEM) using Advanced Analysis for Composite (ADANCO 2.2.1) was used to evaluate the hypotheses.

This study finds that travel restriction, boarder closure and strategic dexterity were significant to competitiveness, among which border closures has generated the highest path coefficient. Moreover, the study finds a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness. Future studies can reproduce the study by incorporating mediating variables covering the all-tourist centers in Nigeria.

This study might be valuable for tourism-related stakeholders, researchers and policy makers as the result finds indicate strong effect of travel restrictions, border closure on competitiveness of urban tourism. Equally, the study provides new insight as the findings shows a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness.

This study might be valuable for tourism-related stakeholders, researchers and policy makers as the result finds indicate strong effect of travel restrictions, border closure on competitiveness of urban tourism. The study provides new insight as the findings shows a significant moderating role of strategic dexterity between travel restrictions, border closure and competitiveness.

This study is among the few that analyses the effect of measures to combat COVID-19 pandemic on competitiveness in the urban tourism: strategic dexterity as the moderating variables. This study also contributes methodologically through the introduction of PLS-SEM approach.

Destination competitiveness is a significant contributor to tourism growth, performance and development. The current research intends to test the effect of the dimensions of the Travel and Tourism Competitiveness Index (TTCI) on destination competitiveness in the United Arab Emirates (UAE), Egypt and Oman and how competitiveness influences tourism performance and development.

The perspectives of 460 responses were collected from the UAE, 457 from Egypt and 301 responses from Oman. Partial least squares structural equation modelling (PLS-SEM) was utilised to measure the research model relationships.

The results showed that the competitiveness index components are significantly contributing to destination competitiveness and that this competitiveness is predicting both tourism performance and development.

This study developed and empirically tested the effect of an integrative model of the competitiveness index on destination competitiveness from the perspective of local visitors in three Muslim and Arab nations. This study gives scholars valuable perceptions into how socio-cultural variations between residents and locals in various nations might result in significantly diverse behaviours.

COVID-19 has resulted in unprecedented changes in the tourism industry and brought tourists' safety and security issues more important. The travel and tourism competitiveness of India as a tourist destination ranked remarkably high in natural and cultural resources, and price competitiveness but relatively low in safety and security. The research aims to evaluate safe tourism in India with an objective view and suggest directions to restore confidence and restart tourism in India after the pandemic. The research studies on safe tourism are assessed, and the importance of safety and security issues in tourism is addressed. It also analyses India as a safe destination and suggests more focus should be on safety to consolidate the tourist destination image of India. A tourist safety framework composed of safety education, safety technology, safety system and safety regulation is suggested with a case study of South Korea. Focus on domestic tourism, a phased approach for safe tourism, 3S Indian campaign, and networks between public and private sectors are suggested for safe tourism in COVID-19. The research would provide a rationale for safe tourism in India and help government and tourism marketers develop policies, set standards or guidelines for tourists and plan coordination with other bodies or industries.