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The purpose of this paper is to investigate the factors affecting citizens’ intentions toward sustainable tourism based on a research model integrating two theories: protection motivation theory (PMT) and theory of interpersonal behavior (TIB).

After in-depth interviews with ten people, the authors determined the official research model and builds a complete survey. With the random sampling method, data were collected from 628 Vietnamese respondents at some schools, enterprises and supermarkets. Using the PLS-SEM method, measurement and structural models were evaluated before testing the research hypotheses about the influence of factors on intention toward sustainable tourism.

This paper shows that all constructs of the integrated model PMT-TIB are related to intention toward sustainable tourism, and response efficacy is the most influential factor among the factors included in the research model. PMT-TIB integration model is proven to be superior to the original PMT and TIB models when studying factors affecting intention toward sustainable tourism.

The main limitation of this paper is that the PMT-TIB integration model only mentions motivational and interpersonal factors that influence intention toward sustainable tourism.

The findings indicate that state management agencies and enterprises need to develop specific action programs about each harmful environmental pollution caused by unsustainable tourism, raising awareness about the possibility of environmental protection through sustainable tourism.

This study contributes to the existing theoretical framework by integrating PMT and TIB for the first time in explaining intention toward sustainable tourism. This paper gives implications for Vietnam in particular and developing countries in general in promoting sustainable tourism intentions toward sustainable development according to the government’s goals.

本文的目的是基于保护动机理论（PMT）和人际行为理论（TIB）理论相结合的研究模型, 调查影响公民可持续旅游意愿的因素。

在对10人进行深入访谈后, 作者确定了正式研究模型并建立了完整的调查。 采用随机抽样的方法, 从部分学校、企业和超市收集了628名越南受访者的数据。 在检验有关因素对可持续旅游意向影响的研究假设之前, 使用 PLS-SEM 方法对测量和结构模型进行了评估。

本文表明, 综合模型 PMT-TIB 的所有构造都与可持续旅游的意愿相关, 而响应效能是研究模型中包含的因素中影响最大的因素。 在研究影响可持续旅游意愿的因素时, PMT-TIB集成模型被证明优于原始PMT和TIB模型。

本文的主要局限性是 PMT-TIB 整合模型仅提到动机和人际因素影响可持续旅游的意愿。

研究结果表明, 国家管理机构和企业需要针对不可持续旅游业造成的各种有害环境污染制定具体的行动计划, 提高人们对通过可持续旅游业保护环境的可能性的认识。

本研究首次整合PMT和TIB来解释可持续旅游业的意图, 为现有的理论框架做出了贡献。 论文对越南和广大发展中国家在促进可持续旅游意愿、根据政府目标实现可持续发展方面给出了启示。

El objetivo de este artículo es investigar los factores que influyen en la intención de los ciudadanos hacia el turismo sostenible basándose en un modelo conceptual que integra la teoría de la motivación hacia la protección (PMT) y la teoría del comportamiento interpersonal (TIB).

Tras la realización de entrevistas en profundidad con 10 personas, los autores determinaron el modelo de investigación y elaboraron un cuestionario. Utilizando un muestreo aleatorio para la recogida de datos, se obtuvieron 628 encuestados vietnamitas en escuelas, empresas y supermercados. Se empleó el análisis PLS-SEM para evaluar los modelos de medición y modelos estructurales antes del contraste de las hipótesis de investigación sobre la influencia de los factores en la intención hacia el turismo sostenible.

Este artículo muestra que todos los constructos del modelo integrado PMT-TIB están relacionados con la intención hacia el turismo sostenible y la eficacia de la respuesta es el factor más influyente entre los factores incluidos en el modelo conceptual. Se comprueba que el modelo integrador PMT-TIB es superior a los modelos PMT y TIB originales al estudiar los factores que afectan la intención hacia el turismo sostenible.

La principal limitación de este artículo es que el modelo de integración PMT-TIB solo utiliza factores motivacionales e interpersonales que influyen en la intención hacia el turismo sostenible.

Las conclusiones indican que los organismos estatales de gestión y las empresas deben desarrollar programas de acción específicos sobre cada contaminación ambiental nociva causada por el turismo insostenible, concienciando sobre la posibilidad de proteger el medio ambiente a través del turismo sostenible.

Este estudio contribuye al marco teórico existente al integrar por primera vez la PMT y la TIB en la explicación de la intención hacia el turismo sostenible. El trabajo ofrece implicaciones para Vietnam en particular y para los países en desarrollo en general en la promoción de las intenciones de turismo sostenible, hacia un desarrollo sostenible de acuerdo con los objetivos gubernamentales.

Sustainable tourism will be an appropriate strategy to be promoted during the post COVID-19 pandemic, as this is a turning point for the tourism industry to grab the unique chance to have a true reset by focussing on achieving long-term sustainability and a shift from a ‘me to we’ economy. To support sustainable tourism and foster future success in the tourism industry, the process of integrating green knowledge and knowledge management can begin with entrepreneurial education in higher education institutions (HEIs). However, empirical research on university students' green entrepreneurial intention in sustainable tourism has not been exhaustively studied. Additionally, there is a need to further explore knowledge management process and entrepreneurial learning in HEIs. Hence, the aim of this study is to analyze knowledge management as a technique to explore the green entrepreneurial intention of students in HEIs in sustaining Malaysia's tourism post COVID-19 pandemic. Exploratory research with quantitative analysis was conducted through partial least squares structural equation modelling (PLS-SEM). The findings reveal that there is a positive and significant relationship between green entrepreneurial knowledge and green entrepreneurial intention in sustainable tourism among university business students. Additionally, knowledge revision and conceptual change positively and significantly influence green entrepreneurial knowledge and green entrepreneurial intention in sustainable tourism. However, knowledge application has no impact on green entrepreneurial knowledge and green entrepreneurial intention. The results of this study also reveal that green entrepreneurial knowledge does not have a mediation effect on green entrepreneurial intention. The present work contributes by going beyond the study of entrepreneurial intention, as the research focusses on interconnection among these three major areas: knowledge management, sustainable tourism, and entrepreneurship education post COVID-19 pandemic. Hence, the combination of these diverse aspects in this study provides insights to educators and policy makers to investigate the importance of green entrepreneurial knowledge and benefits of knowledge management that can be integrated into entrepreneurship education for current and future sustainable tourism development.

Postpandemic efforts to rebuild have steered the global economy toward a more sustainable trajectory. It is imperative to acknowledge the pressing need for further enhancements in the sustainable development of the tourism industry. This study aims to examine the influence of personal factors, including environmental concern, cultural interest, travel lifestyle and involvement, on tourist satisfaction and revisit intention, using the theory of planned behavior (TPB) as its framework.

The data was gathered through surveys conducted in three of Türkiye’s most famous slow travel destinations: Seferihisar, Gökçeada and Akyaka. The analysis was carried out using SPSS and SmartPLS software, with subsequent structural model testing.

This study presents an extended model that incorporates four individual factors, tourist satisfaction, TPB and revisit intention. All hypotheses have been rigorously tested, and the model accounts for 60.4% of the variance in revisit intention. The findings are comprehensively discussed in this article, supported by relevant theoretical frameworks.

Future research avenues could delve into the evolution of slow tourism in both developed and developing countries, assess disparities in revisit intentions between slow tourism and mass tourism destinations and investigate the prospects of sustainable tourism development in the postpandemic era.

The authors use the TPB to examine individual factors, tourist satisfaction and revisit intentions, aiming to build an extended model to gain a deeper understanding of the slow tourist decision-making process.

The purpose of this paper is to investigate factors affecting Vietnamese people’s sustainable tourism intention (IN) with extended the theory of planned behavior (TPB).

Preliminary quantitative research was carried out before large-scale formal quantitative research with a sample size of 628 Vietnamese people. Using the partial least squares structural equation modeling method with the SmartPLS tool, measurement and structural models 3.0 were evaluated before testing the research hypotheses about the influence of factors on the IN of sustainable tourism.

This study uses the extended TPB model with original constructs and two additional constructs, travel motivation (TM) and moral reflectiveness (MR), to find out the factors affecting the sustainable tourism IN of Vietnamese people. All hypotheses are accepted, except for the hypothesis about the relationship between TM and attitude toward sustainable tourism. MR has been shown to have a more positive and stronger (insignificant) effect than other factors of the proposed research model on sustainable tourism IN. Thereby, this study contributes both theoretically and practically to policymakers, researchers and tourism enterprises in promoting sustainable tourism IN.

The main limitation of this paper is the deliberate sampling method and targeting the demographic proportion corresponding to the population has lost the randomness of the survey sample.

The findings indicate that state management agencies and tourism enterprises in Vietnam need to pay attention to communication to raise awareness of environmentally oriented tourism and promote the ability to participate in sustainable tourism at a reasonable price as well as the opportunity for easy access and, at the same time, take measures to influence TM and have communication strategies that address the ethical value of participating in sustainable tourism.

To the best of the authors’ knowledge, this paper is the first empirical study to contribute to the existing literature on tourism by integrating TPB constructs with TM and MR to predict sustainable tourism IN.

Looking at the paucity of research examining behaviour in reference to sustainable tourism in India, the study aims to propose a framework for predicting the mediating role played by personal norms in determining the intention to adopt sustainable tourism in India.

The study is cross-sectional in nature and has gathered responses from 275 valid respondents with diverse socio-demographic profiles. EFA was conducted, followed by CFA and structural model analysis to test the hypothesized relationships.

The results indicate that all the hypotheses were found to be significant, thus confirming the direct and indirect effect of consumer knowledge and consumer perceived effectiveness on an intention to adopt sustainable tourism.

The study has not just added a different perspective to sustainable tourism but has also attempted to capture the attention of all academicians and practitioners who have sidelined this relevant concept in Indian context.

Marketers aiming to alter tourist’s behaviour with respect to sustainability must understand that they need to redesign their strategies within the context of personal norms or values.

While some of the literature has attempted to explore the attitudinal dimension of environmentally conscious behaviour, there is much scope to examine the factors motivating the formation of intention towards sustainable tourism in Indian context. The confined use of constructs from value-belief-norm model and theory of planned behaviour in sustainable tourism, has led to the development of the proposed research framework in the study.

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.

The main purpose of this research paper is to generate a holistic bibliometric study of the tourism industry and COVID-19 fields, to further investigate the current interests and trends emerging from scientific collaboration and thematic analysis and to identify research gaps that indicate future research directions.

This study conducts several analyses, which include the co-authorship and social network analysis, co-citation and keyword co-occurrence knowledge structures. The authors generate a knowledge map of the leading articles and link them with previous literature to elucidate the debates and consensus in research on COVID-19 and tourism.

Research interests concentrate in the USA, China, Europe and the Oceania areas, so more cross-continental collaborations are expected among them and with other regions. Popular topics are tourism sustainable transformation, crisis management and multidisciplinary fields like tourism, hospitality, information technology and environmental sciences. This paper also identifies underexplored topics for future investigation on the social, environmental, cultural and governance dimensions of sustainable tourism.

This paper contributes to guiding tourism researchers in identifying and finding publication references and future collaborations. Moreover, the investigation of knowledge structures could be beneficial for scholars hoping to broaden the current understanding of this field and discover potential for future tourism research, especially in the global pandemic and other severe health crises.

This study enriches the existing literature in the fields of tourism and the pandemic and highlights current interests and research trends exploring scientific collaboration, thematic analysis and knowledge mapping.

This paper aims to enhance understanding of how sustainable entrepreneurship (SE) contributes to sustainable development in the tourism sector. To do so, specific factors that act as enablers or inhibitors of SE are identified according to a co-evolutionary lens.

A co-evolutionary explanation of the firm? Environment relationship is adopted to undertake a qualitative empirical study of the Castelli Romani tourism destination (Italy), via 23 semi-structured interviews according to a narrative approach.

The paper demonstrates that entrepreneurs play a crucial role in sustainable development but cannot act in isolation. In fact, according to the co-evolutionary approach, they influence and are influenced by 20 factors. Accordingly, SE can be conceptualised as resulting from effective co-evolutionary interactions between micro (i.e. entrepreneurs and their firm), meso (i.e. the destination where tourism firms are based) and macro (i.e. the wider socio-economic and natural system) levels.

Several actions are suggested to entrepreneurs and policymakers to help achieve specific sustainable development goals. These actions focus on: (1) training courses, (2) investments in technologies, (3) creation of innovative business models, (4) exploitation of cultural and natural resources, (5) community involvement and (6) multi-level partnerships.

This is the first study that adopts a co-evolutionary lens to investigate the influencing factors of SE in tourism, shedding light on the effects of their dynamic interdependence. Thus, it provides a more nuanced SE conceptualisation that takes a holistic and dynamic view of sustainability.

This study aims to provide a comprehensive analysis of the current privacy concerns in the tourism industry by uncovering the key factors leading to such concerns (i.e. smart public services, cyber security issues, consumer behaviour and governance). Using papers from multiple sources, the relationship between technology advancements and tourist’s privacy concerns has been established.

This study adopted a machine learning-based systematic literature review approach to find out the clusters. The study analysed 68 papers using the topic modelling approach. A four-cluster solution was considered to be most representative of the extant literature identified using bibliographic coupling. Finally, content analysis of the selected literature has been performed.

This study identified four factors majorly leading to privacy concerns amid increasing technological advancements. Moreover, these factors were found to have a dyadic relationship with technological advancements. To everyone’s amazement, sustainable tourism was also found to have led to privacy concerns among tourists along with a lack of governance and cyber security issues. Furthermore, cluster-wise future research directions are provided based on the content analysis.

This study contributes to the literature by systematically reviewing and identifying the four dimensions leading to privacy concerns. To the best of the authors’ knowledge, the study done is the only attempt to synthesize the extant literature on tourists’ privacy concerns using an unbiased scientific approach.

本研究对旅游业当前的隐私问题进行了全面分析, 以揭示导致此类担忧的关键因素（即智能公共服务、网络安全问题、消费者行为和治理）。 通过考察来自多方渠道的现有文献, 本研究确立了技术进步与游客隐私问题之间的关系。

本研究采用基于机器学习的系统文献综述方法来找出聚类。 该研究使用主题建模方法分析了 68 篇文章。四聚类解决方案是现有文献中最具代表的 文献分类方法。最后, 本研究对所选文献进行了内容分析。

这项研究确定了在技术进步不断增加的情况下主要导致隐私问题的四个因素。 此外, 这些因素被发现与技术进步有二元关系。 本研究还发现可持续旅游业引发了游客对隐私的担忧以及缺乏治理和网络安全问题。 此外, 通过基于内容的分析, 本研究提供了未来的聚类研究方向。

本研究对现有文献的贡献在于通过系统地文献综述和分析以确定导致隐私问题的四个维度。该研究是基于公正的科学方法综合现有游客隐私问题文献的首度尝试。

Este estudio proporciona un análisis exhaustivo de la actual preocupación por la privacidad en el sector turístico, poniendo al descubierto los factores clave que la generan (los servicios públicos inteligentes, los problemas de ciberseguridad, el comportamiento de los consumidores y la gobernanza). Gracias al uso de artículos de múltiples fuentes, se ha establecido la relación entre los avances tecnológicos y la preocupación de los turistas por la privacidad.

Este estudio adoptó un enfoque de revisión sistemática de la literatura basado en el aprendizaje automático para descubrir los conglomerados. El estudio analizó sesenta y ocho artículos utilizando el enfoque de modelización de temas. Se consideró que una solución de cuatro conglomerados era la más representativa de la literatura existente identificada mediante el acoplamiento bibliográfico. Por último, se realizó un análisis de contenido de la bibliografía seleccionada.

En este estudio se identificaron cuatro factores principales que suscitan inquietud por la privacidad en medio de los crecientes avances tecnológicos. Además, se descubrió que estos factores tienen una relación diádica con dichos avances. Para sorpresa de todos, se halló que el turismo sostenible, junto con la falta de gobernanza y los problemas de ciberseguridad, también suscitan entre los turistas preocupaciones por su privacidad. Finalmente, el análisis de contenido ofrece orientaciones para futuras investigaciones.

Este estudio contribuye a la literatura haciendo una revisión sistemática e identificando las cuatro dimensiones que conducen a la preocupación por la privacidad. Este estudio es el único intento de sintetizar la bibliografía existente sobre la preocupación de los turistas por su privacidad utilizando un enfoque científico imparcial.

This chapter proposes the socioeconomic metabolism (SEM) and multilevel perspective (MLP) as “novel” conceptual and practical models that island policy makers can apply to analyzing the transitioning from the current island tourism to sustainable island tourism. Pandemics, such as COVID-19 and climate-related disasters pose risks that highlight a need for restructuring the dominant “sun, sea, and sand” and mass tourism, with excessive resort buildup on the coasts. These crises and disasters constantly disrupt island tourism, exacerbating the already volatile nature of the tourism industry, especially in the Caribbean. Therefore, the SEM which grounds an understanding of how the island system functions, coupled with the MLP that explains sustainability transitions, are proffered as an alternative and systematic approach to restructuring island tourism. In this regard, the models are analyzed for their application to the tourism accommodation subsector. The chapter concludes with the relevance of the models to policy makers and demonstrates how their application can minimize the risks posed by disasters and pandemics to materials and energy flows in the accommodation sector and eventually lead to sustainable island tourism.