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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.

This chapter investigates pandemic impact in a variety of industries, including food, travel, education and pharmaceuticals, considering elements such as isolation, emotions and social influences, which can lead to panic buying. The goal of this research is to ascertain how COVID-19 influences the buying decisions of customers. Additionally, the study aims to identify consumer consumption trends for a spectrum of products and services, including fast-moving consumer goods (FMCGs), entertainment, pharmaceuticals, travel and tourism. A comprehensive review of different research papers is done to conclude. The papers considered are from 2020 to 2022. Different keywords are used to search the relevant papers such as ‘pandemic’, ‘COVID-19’, ‘behaviour’, ‘impulsive’, etc. TCCM framework has been applied while reviewing the articles. During the isolation, consumer behaviour moved to panic buying and stockpiling, favouring organic basics, and encouraging e-commerce, as well as economic nationalism favouring made-in-India products. This study helps in knowing the reasons for change in consumers' behaviour for different products and services due to unforeseeable situations like COVID-19 and can find possible ways to deal with them. Business owners learn about changing consumer purchasing behaviours and how to modify products. The government can change policies to improve medical tourism and social protection.

This study aims to extend the theory of planned behavior (TPB) model with additional factors such as perceived risk, knowledge of COVID-19, social media reviews, destination image and past experience to analyze what influences the travel destination intentions of young people.

An online survey of young people was conducted, and SPSS 20.0 and Smart-PLS (Partial Least Squares) 3.0 software were used to evaluate the measurement and structural models.

The study uses the extended TPB (Ajzen, 1991) to build on the factors affecting the selection of tourist destinations in relation to the risk perception of COVID-19, past experiences and images of destinations when traveling after the pandemic.

This study demonstrates the feasibility of applying the TPB framework and protection motivation theory (PMT) elements to people planning to visit a travel destination in the immediate wake of a public health emergency such as the COVID-19 pandemic. It explains the factors influencing tourists' intentions to visit during and after the pandemic. COVID-19 awareness and previous travel experiences influence post-pandemic travel decisions.

This research result will help build motivation and confidence for local tourism businesses regarding the rapid recovery of the industry among young people. However, businesses need to vigorously promote safety and adapt tourism services to suit the new post-pandemic situation.

The results of this study can help tourism businesses understand why young people may be hesitant to come to their localities for tourism so they can come up with a suitable development strategy to attract tourists.

This study expands on the framework of the TPB to explore additional factors that positively influence youth travel, and the barriers that concern them. It also provides data on the novel context of tourism in the post-pandemic era.

Human life has been unfavourably impacted by COVID-19, which has impacted the entire planet. Contrastingly, it is now crucial to discern the significance of health in human life and pay more attention to protecting health. Owing to COVID-19's influence on lifestyle, it is evident that the pandemic contributes to the development of health tourism and that wellness tourism, which was in the pre-pandemic growth trend, is favoured more often. Therefore, it is indisputable that stakeholders in the health and tourism industries view the rising demand for health-focused holidays as a potential. However, on the opposite hand, it is meaningful to broaden the number of products made available within the context of wellness tourism, to pinpoint areas that are conducive to health-related activities, to generate the infrastructure and superstructure required in these areas and to step up marketing initiatives in order to make the most of this opportunity. To address these concerns, it is deemed crucial that the parties involved in the tourism and health sectors coordinate their efforts.

The aim of this paper is to review and categorise the body of existing research in order to better understand the state of food tourism. The primary objective of this study is to identify emerging themes in the area of food tourism and to highlight the relationships among them.

This research consists of a systematic literature review of academic articles from the Scopus and Web of Science databases.

Ten themes of Food Tourism emerged from the analysis, i.e. Food Tourism and Local Food, Food Tourism and Sustainability, Food Tourism and Economy, Food Tourism and Food waste management, Food Tourism and Culture, Food Tourism and Environment, Food Tourism and Information Technology, Food Tourism and COVID-19, Food Tourism and Post pandemic consumer trust and Food Tourism and Tourism and Hospitality sector.

This study elaborates on the theoretical pieces of evidence on the connection between food and tourism. Not only limited to food tourism, but this paper also contributes to the literature in the area of economy, sustainability, post-COVID-19, food waste management, environment and technological innovations in food tourism.

This study contributes to a deeper understanding of the topic at hand. The study begins by systematically examining the topic to offer a thorough and in-depth analysis of food tourism. There is not a single study which has covered these many themes of food tourism, which makes it an important contribution to the literature.

As Generation Z (Gen Z) represents one of the most important segments in the travel and tourism sector, the present work aims to analyse Gen Z's behaviour in a post-pandemic scenario. In particular, the present work deepens the factors that may influence future accommodation choices.

This study uses data from a web-based questionnaire targeting Italian tourists belonging to Generation Z, reaching 221 complete responses. After the statistical analysis of the sample, an exploratory factor analysis (EFA) was then carried out.

Data provided evidence about the main factors affecting Gen Z tourist choices. In particular, these young consumers are positively influenced by the information (especially from institutional and verifiable sources), more flexible purchase terms (e.g. full refund in case of cancellation due to contagion of the coronavirus disease 2019 (COVID-19) and digital payments) and structure features (e.g. cleanliness, sanitisation, digitalisation and sustainability).

This work attempts to contribute to the academic literature by looking at the tourism experience from Gen Z's perspective. From this angle, this work underlines the influence some factors exert on the final accommodation choice, especially in the presence of exogenous events. Moreover, as this study focusses on a post-pandemic scenario, the study seeks to provide valuable indications, both at the theoretical and managerial level, for the tourism sector to boost the sector's recovery and prepare the sector to face similar events.

Purpose: This study examines the effect of uncertainties on the hospitality industry from different perspectives across the globe. The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to analyse the current problems and uncertainties in the hospitality sector.

Need for the Study: The hospitality industry plays a significant role in the global economy with various services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study provides an overview of the most significant problems and challenges facing the hospitality industry today.

Methodology: A systematic literature review was conducted to identify and synthesise relevant studies on the effect of uncertainties issues on the hospitality industry. A systematic search of the Web of Science and Scopus databases was conducted to determine relevant studies published between 2010 and 2021. Studies were screened and selected based on pre-defined inclusion and exclusion criteria. A thematic analysis was performed to categorise the uncertainties and issues in the hospitality industry.

Findings: The study identified several uncertainties and issues facing the hospitality industry, including the pandemic uncertainties, financial crisis, whether positive and negative impacts, terrorism attacks on hotels and tourist places, uncertainties in government policies, situational risks like uncertainties, ambiguity, cultural differences, changes in tourist preferences and changing habits of the tourist.

The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

Contemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI).

This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists.

Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation.

WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism.

This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.

Drawing on the UTAUT-2 model, the study attempts to accentuate the role of augmented reality (AR) and virtual reality (VR) based tourism products and services in enhancing responsible travel behaviour (RTB). This paper aims to examine the emergence of AR- and VR-based tourism in emerging economies, outlines the issues and contributing factors and discusses possible mitigation measures.

Following the triangulation method of research, a dual study involving both focus group discussions and questionnaire-based surveys were undertaken. The grounded theory approach was adopted to develop a structural framework followed by an empirical validation process.

Critical dimensions such as performance anticipation, effort anticipation, referent power, facilitating factors, perceived value and perceived risk were found as antecedents of behavioural intentions (BIs) towards adopting AR- and VR-based tourism products. Moreover, cultural involvement and marketing stimuli emerged as moderating factors driving the BI towards RTB.

This paper outlines key elements that contribute to the adoption of AR- and VR-based tourism products and services in emerging economies, which would enable marketers and practitioners to strategize their tourism offerings.

The study takes a dual perspective of both tourists and tour operators and presents a critical overview of the AR- and VR-based tourism industry, taking an emerging economies’ perspective. The study further attempted both the triangulation method and grounded study approach for establishing a hypothetical framework, which is a unique attempt in itself.