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This paper aims to explore students’ work-integrated learning experience. Particularly, students’ application of knowledge and improvement of multiple skills in work-integrated learning, their influence on positive industry image change due to the COVID-19 pandemic, and students’ desired career prospect were explored.

A questionnaire survey with valid responses from 168 undergraduate students in hospitality and tourism management was conducted in four colleges/universities in Guangdong, China in 2021. PLS-SEM method was used to analyze the data.

It was found that students’ multiple skills had improved through application of knowledge in work-integrated learning. Skill improvement helped form positive industry image change and shape future career prospect. However, such positive industry image change did not impact students’ career prospect directly.

Today, work-integrated learning has become one of the most valuable opportunities for students in hospitality and tourism management to gain industry experience. However, recent literature has largely examined the negative impacts of COVID-19, whereas few studies have examined the positive aspects of work-integrated learning.

The purpose of this paper is to examine the influence of entrepreneurial orientation (EO) dimensions on firm performance in the tourism sector. The goal is twofold: on the one hand, the paper aims to test whether EO dimensions are still significant determinants of performance after controlling for possible confounding factors; on the other hand, it aims to address the question of which EO dimension exerts the strongest effect on performance.

A survey was carried out in the Sardinian accommodation sector in 2012 and 224 questionnaires were collected. The multidimensional EO constructs were adopted.

The results show that innovativeness, proactiveness and autonomy were significantly associated with tourism firm performance, whereas risk-taking and competitiveness were not.

The results are limited to the Sardinian accommodation context. Self-reported data were used to measure firm performance. Further research works could replicate the analyses using objective firm performance not only in similar touristic destinations but also in other countries and incorporating other industries.

The study suggests educational and managerial implications. Entrepreneurs in the tourism sector should be encouraged to adopt an innovative, autonomous and proactive approach in managing their firms.

The study advances entrepreneurial knowledge in the tourism sector and in particular in the accommodation industry. The multidimensional EO approach has never been adopted among touristic firms. Furthermore, considering that EO research has been overlooked in the country of Italy, this study’s contribution is also providing evidence from an area that has received minimal attention to date.

The purpose of this paper is to provide a comprehensive review of the literature and develop a model of the determinants, indicators and effects of destination competitiveness (DC), as well as several propositions.

This study thoroughly reviewed extant literature to develop a conceptual model and propositions.

Two key findings are listed below. First, 12 different environmental factors are identified and 12 propositions are developed linking these environmental factors to DC. Second, a new indicator of DC is developed, namely, Tourism Attractions-Basics-Context (TABC) model. The TABC model is simple and directly taps into the benefits tourists seek in a destination.

Directions for future research are discussed in detail in the paper.

Managerial implications are discussed in detail in the paper.

The extant research on the topic of DC has been rather fragmented and incomplete in scope. The research presented in this paper addresses these limitations.

This study aims to provide insight into the determinants of wellness tourism satisfaction, thereby taking a nonlinear approach regarding the relationships between attribute-level performance of wellness facility attributes, on the one hand, and wellness destination attributes, on the other hand, and global wellness tourist satisfaction. In addition, scores of impact range are calculated to reveal the potentially most determinant wellness facility and destination attributes.

This study uses data from a survey-based study conducted among 1,331 wellness tourists who have engaged in wellness tourism activities at one of 28 hotels with wellness offerings and 10 spas in Croatia. Impact-asymmetry analysis and impact-range analysis are used to quantify the potential of individual wellness attributes to generate satisfaction and dissatisfaction among wellness tourists and to perform a classification of wellness attributes according to the three-factor theory of customer satisfaction.

Operators of wellness tourism facilities, as well as managers of wellness destinations, must not make any compromises in quality levels because most wellness attributes have significantly higher potential to frustrate than please tourists. Basic factors such as cleanliness, punctuality or safety turned out to have the strongest influence on global satisfaction levels. Moreover, in line with previous research, wellness tourists have large expectations from destinations to have a preserved and beautiful nature, which is by far the most influential destination attribute. In addition to a safe environment and high-quality accommodation, wellness tourists further prefer rich cultural offerings.

To the best of the authors' knowledge, this is the first study to apply a nonlinear analysis approach to the quality–satisfaction relationship in a wellness tourism setting. Moreover, to the knowledge of the authors, this is the only study that used separate attribute models for wellness facilities, on the one hand, and wellness destinations, on the other hand, based on a nation-wide sample that covers multiple cases (i.e. multiple facilities and destinations).

本研究旨在深入了解养生旅游满意度的决定因素, 从而采用非线性方法来研究（i）养生设施属性和 （ii）养生目的地属性对国际养生游客满意度的关系。此外, 本文还计算了影响范围的分数, 以揭示潜在的最具决定性的养生设施和目的地属性。

本研究使用了基于对 1,331 名养生游客进行调查问卷的数据, 这些游客曾在克罗地亚 28 的酒店以及10个水疗中心进行了养生旅游活动。本文采用影响不对称分析（IAA）和影响范围分析（IRA）来量化个体养生属性在健康游客中产生满意度和不满意的潜力, 并根据顾客三因素满意度理论对健康属性进行分类。

养生旅游设施的运营商以及养生目的地的管理者不能在质量水平上做出任何妥协, 因为大多数养生属性很可能使游客感到沮丧, 而不是取悦游客。事实证明, 清洁、准时及安全等基本因素对全球满意度影响最大。此外, 根据之前的研究, 健康游客对目的地抱有很大的期望, 希望拥有保存完好且美丽的自然风光, 这是最具影响力的目的地属性。除了安全的环境和高品质的住宿外, 养生游客更看重丰富的文化产品。

这是第一项将非线性分析方法应用于养生旅游环境中的质量与满意度关系的研究。此外, 据作者所知, 这是唯一一项基于涵盖多个案例（即多个设施及目的地）的国家样本, 一方面对养生设施使用单独的属性模型, 另一方面对养生目的地使用单独的属性模型的研究。

Este estudio tiene como objetivo proporcionar información sobre los determinantes de la satisfacción del turismo de bienestar, adoptando así un enfoque no lineal con respecto a las relaciones entre el rendimiento a nivel de atributos de (i) atributos de instalaciones de bienestar, por un lado, y (ii) atributos de destino de bienestar, por otro lado, y la satisfacción del turista de bienestar global. Además, se calculan puntajes de rango de impacto para revelar las instalaciones de bienestar y los atributos de destino potencialmente más determinantes.

este estudio utiliza datos de un estudio basado en encuestas realizado entre 1,331 turistas de bienestar que participaron en actividades de turismo de bienestar en uno de los 28 hoteles con ofertas de bienestar y diez spas en Croacia. El análisis de asimetría de impacto (IAA) y el análisis de rango de impacto (IRA) se utilizan para cuantificar el potencial de los atributos de bienestar individuales para generar satisfacción e insatisfacción entre los turistas de bienestar y para realizar una clasificación de los atributos de bienestar de acuerdo con la teoría de los tres factores del cliente. satisfacción.

Los operadores de instalaciones de turismo de bienestar, así como los administradores de destinos de bienestar, no deben comprometer los niveles de calidad porque la mayoría de los atributos de bienestar tienen un potencial significativamente mayor para frustrar que para complacer a los turistas. Los factores básicos, como la limpieza, la puntualidad o la seguridad, resultaron ser los que más influyeron en los niveles de satisfacción global. En consecuencia, estos atributos no deben verse como fuentes potenciales de satisfacción y deleite del cliente, sino que deben otorgarse altos niveles de desempeño para evitar una fuerte insatisfacción. Además, en línea con investigaciones anteriores, los turistas de bienestar tienen grandes expectativas de que los destinos tengan una naturaleza preservada y hermosa, que es, con mucho, el atributo de destino más influyente. Además de un entorno seguro y un alojamiento de alta calidad, los turistas de bienestar prefieren una rica oferta cultural. Aplicando la teoría de los tres factores, una visión más matizada de la formación de la satisfacción del turista de bienestar mostró que estos atributos del destino tienen un potencial mucho mayor para crear una fuerte insatisfacción que satisfacción.

Este es el primer estudio que aplica un enfoque de análisis no lineal a la relación calidad-satisfacción en un entorno de turismo de bienestar. Además, según el conocimiento de los autores, este es el único estudio que utilizó modelos de atributos separados para instalaciones de bienestar, por un lado, y destinos de bienestar, por el otro, en base a una muestra nacional que cubre múltiples casos (es decir, múltiples instalaciones y destinos).

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.

Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

This paper aims to present a model to survey if effective destination management can manage (unsustainable) overtourism from the perspective of residents’ quality of life (QOL).

A constructivist approach, based on factors taken from conceptual overtourism model (Mihalic, 2020), was used to propose an overtourism QOL management model. Relationships among the factors were analysed with a path analyses model with two second-order latent factors. The model was tested in a real setting, the city of Ljubljana.

The proposed theoretical model is comprised of five factors: positive tourism impacts, negative tourism impacts, irritation with overtourism, residents’ QOL and destination management. Empirical tests confirmed the model. Positive tourism impacts positively affected residents’ QOL via destination management. Negative tourism impacts created overtourism-based resident irritation and negatively impacted their QOL.

The model was limited to one group of sustainable tourism stakeholders: residents of a destination. The sustainability performance of tourism was only assessed based on residents’ QOL.

The proposed model adds to the conceptual knowledge of tourism and may be useful for (sustainable) destination managers to monitor the existence and causes of overtourism and may help to focus efforts to manage the causes of overtourism irritation and improve residents’ QOL.

Overtourism is a concern for residents of tourism destinations who become irritated by unsustainable tourism impacts on community resources and their QOL. The suggested model is the first to address destination management’s ability to manage unsustainable overtourism.

本文采用建构主义的方法, 基于概念性的过度旅游模型（Mihalic, 2020年）中的因素, 提出了过度旅游中居民生活质量（QOL）管理模型。这些因子之间的关系是通过对包含两个二阶潜在因子的模型的路径分析得到的。该模型在卢布尔雅那市的真实情况中进行了测试。

本文提出了这样一个模型, 从居民的生活质量（QOL）角度出发, 调查有效的目的地管理是否可以管理（不可持续的）过度旅游。

理论模型由五部分组成：正面的旅游影响, 负面的旅游影响, 过度旅游带来的恼怒, 居民的生活质量和目的地管理。实证检验证实了该模型。积极的旅游业通过目的地管理对居民的生活质量产生了积极影响。负面的旅游影响造成了基于过度旅游的居民恼怒情绪, 并对其生活质量产生了负面影响。

该模型仅基于一个可持续的旅游业利益相关者：目的地居民。旅游业的可持续发展绩效仅根据居民的生活质量来评估。

社会和实际意义： 提出的模型增加了旅游的概念性知识, 并且可能有助于（可持续）目的地管理者监督过度旅游的存在和原因, 并且集中精力管理过度旅游引起的居民恼怒情绪, 并改善居民的生活质量。

对于旅游目的地的居民来说, 过度旅游是一个令人担忧的问题, 他们因不可持续的旅游业对社区资源及其生活质量的影响而感到不快。本模型是第一个解决目的地管理机构管理不可持续的过度旅游的能力的模型。

Para proponer un modelo de gestión del sobreturismo QOL, se utilizó un enfoque constructivista, basado en factores tomados del modelo conceptual de sobreturismo (Mihalic, 2020). Las relaciones entre los factores se analizaron con un modelo de análisis de rutas con dos factores latentes de segundo orden. El modelo se probó en un escenario real, la ciudad de Ljubljana.

En este documento se presenta un modelo para estudiar si una gestión eficaz del destino puede gestionar el exceso de turismo (insostenible) desde la perspectiva de la calidad de vida de los residentes (QOL).

El modelo teórico propuesto comprende cinco factores: impactos positivos del turismo, impactos negativos del turismo, irritación por el exceso de turismo, calidad de vida de los residentes y gestión del destino. Las pruebas empíricas confirmaron el modelo. Los impactos positivos del turismo afectaron positivamente la calidad de vida de los residentes a través de la gestión del destino. Los impactos negativos del turismo crearon una irritación de los residentes basada en el exceso de turismo y tuvieron un impacto negativo en su calidad de vida.

El modelo se limitaba a un grupo de interesados en el turismo sostenible: los residentes de un destino. El desempeño de la sostenibilidad del turismo sólo se evaluó en base a la calidad de vida de los residentes.

Implicaciones sociales y prácticas: El modelo propuesto contribuye al conocimiento conceptual del turismo y puede ser útil para que los gestores de destinos (sostenibles) vigilen la existencia y las causas del exceso de turismo y pueda ayudar a centrar los esfuerzos en la gestión de las causas de la irritación del exceso de turismo y mejorar la calidad de vida de los residentes.

El exceso de turismo es una preocupación para los residentes de los destinos turísticos que se irritan por los impactos insostenibles del turismo en los recursos de la comunidad y su QOL. El modelo sugerido es el primero que aborda la capacidad de la gestión del destino para gestionar el sobreturismo insostenible.

This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology.

Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness.

This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance.

This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public.

The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation.

Sustainable tourism development.

This study finds the expansion of new theory competitiveness of ecotourism destinations.