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India's Muslim women (MW) face significant underrepresentation within the government and commercial sectors, rendering them virtually invisible in the job market. This underrepresentation is compounded by the double stigma of being both Muslim and female. As a result, this study aims to address this critical issue by looking into MW's intention to work in the industry of tourism and hospitality (T&H).

A survey was conducted online to gather data and 404 of the responses met the requirements for selection. The research model was empirically assessed by applying structural equation modelling. The data collection phase spanned from August 11, 2023, to November 10, 2023.

The study's findings demonstrate the effectiveness of the extended theory of planned behaviour in providing a robust model for analysing MW's intentions to participate in the T&H industry.

This research discloses inclusive policies, reduces discrimination, empowers women in the workforce, improves educational opportunities, promotes cultural sensitivity and fosters inclusive leadership in the T&H industry, focusing on MW career intentions, to achieve Sustainable Development Goal 5 (gender equality).

The importance of this study is contingent upon its ability to inform policymakers in academia and the T&H sector. By recognising and addressing the barriers faced by MW, it has the potential to foster a workplace environment that promotes equality and eliminates discrimination, ultimately improving the image of the T&H industry and harnessing the untapped potential of these women in India.

Immersive technologies fully immerse users in augmented environments for interactive experiences. The purpose of this study is to measure consumers’ intention towards experiencing immersive technologies at tourism destinations using an integrated theory of planned behaviour (TPB) and technology acceptance model (TAM) model within the stimulus-organism-response (S-O-R) framework, including motivation (MOT), trust (TR) and perceived risk (PR).

The survey data was collected through convenience sampling via an online questionnaire, with a sample size of 487 Indians. Structural equation modelling was conducted using SPSS and AMOS software for data analysis, ensuring a robust examination of the proposed model and its relationships.

Virtual interactivity and social interaction influence both attitude and perceived behavioural control. Attitude, perceived behavioural control, perceived usefulness and TR significantly influence intention. However, MOT, PR and perceived ease of use do not exhibit a significant influence on intention. These findings highlight the importance of these variables in shaping consumers’ intention towards experiencing immersive technologies at tourism destinations.

The findings hold significant implications for various stakeholders, including government agencies, travel firms, content creators and software developers. They can leverage these insights to enhance marketing strategies, develop immersive tourism experiences, innovate in the realm of Web 4.0 and personalize tourism offerings.

This study offers a distinctive contribution by integrating the S-O-R framework with TPB and TAM, while also incorporating key factors such as MOT, TR and PR. This novel approach provides a fresh perspective on consumer behaviour towards immersive technologies.

Ukraine hosts thousands of international students for educational tourism, of which more than 18,000 Indian medical students were compelled to escape Ukraine under emergency conditions of war. This paper aims to examine their intention to return to Ukraine to complete their education based on an integrated theory of planned behaviour (TPB) framework with added constructs, i.e. risk perception, career anxiety, rescue and relief memory.

The data were collected from 26 February 2022 to 30 June 2022 in two phases and two modes. It was ensured that the respondents were strictly confined to Indian medical students who had travelled to Ukraine for educational tourism. SPSS 25 and AMOS 23.0 were used to analyse the data. The hypotheses proposed were statistically tested.

The analysis reveals that the extended TPB model resulted in a strong model and the empirical findings corroborate that the students’ attitude, subjective norms, perceived behavioural control and career anxiety significantly and positively influence the students’ revisit intention (RI) while risk perception and rescue and relief memory have a negative influence on the RI.

The study provides timely insights and implications to the Ukrainian tourism industry, particularly educational tourism business and medical institutions under the present turmoil, which can also act as blueprint research for destinations with a similar unstable political background.

The primary value of this research work is that it provides an understanding of the intention of medical students (educational tourists) towards revisiting the war-hit destination of Ukraine.

This study aims to evaluate the key factors affecting the behavioural intention of urban tourists towards visiting national parks by integrating the theory of planned behaviour (TPB) and expectancy theory (ET).

Data were collected from urban tourists using an online questionnaire developed through Google forms. A total of 489 valid online questionnaires were considered for this study. The proposed research model was empirically evaluated using the structural equation modelling method.

According to the results of this research, TPB constructs are significantly and positively associated with the behavioural intention of urban tourists towards visiting national parks in India and out of ET constructs, only expectancy and valence are significantly and positively associated with behavioural intention while instrumentality does not.

This study manifests the behaviour of urban tourists towards national parks and contributes to academics by incorporating existing literature. The findings of this study also help policymakers in formulating innovative strategies for national parks. It presents an integrated framework that lays the platform for a new study domain on urban tourists' intentions to visit national parks, which will be useful to urban managers, officials and the tourism sector. Furthermore, as the scope of this study is confined to assessing the intentions of urban tourists toward visiting national parks, it is difficult to generalize the findings.

To the best of the authors' knowledge, this is the first research of its kind to provide an understanding of the behavioural intention of urban tourists towards visiting the national parks in India by optimizing the TPB and ET.

This paper aims to predict the post-pandemic intention of Indian consumers to participate in tourism and hospitality T&H events by incorporating the perception of Covid-19 (PCOV) into the theory of planned behavior (TPB). It also examines the relationship among attitude, subjective norm, perceived behavioral control, behavioral intention and PCOV.

This research employed a quantitative research technique, with data collected using an online questionnaire-based survey from August 23 to October 29, 2021. The sampling approach is convenient, and the sample of this study is comprised of individuals who follow events pages on social networking sites.

The findings of SEM revealed that the proposed model has better explanatory and predictive power. The path analysis showed that all the variables of the TPB are significantly and positively associated with the post-pandemic intention to participate in the T&H events. However, the PCOV is negatively associated with the post-pandemic intention.

The results of this study give an idea about the post-pandemic intention of Indian consumers to participate in T&H events. The results of this study revealed important practical implications for event management organizations, travel agencies that deal in events, the T&H industry, tourism planners and other stakeholders, as these findings may be used to develop effective marketing strategies.

There has been a lot of research on TPB in the context of coronavirus, but to the best of the authors' knowledge, there is a gap in the literature regarding the intention to participate in T&H events. Hence, this research fills that gap.

The study aims to examine consumers' intentions to visit wine tourism destinations (WTDs) in Canada post-COVID-19 by combining destination-related constructs with the theory of planned behavior (TPB).

Convenience sampling was employed in the online survey method to gather data. Using AMOS and SPSS software, structural equation modeling (SEM) was used to analyze the data.

The outcomes of the SEM show that a powerful model for predicting consumers’ intention to visit WTDs was developed by combining the TPB with additional variables. More precisely, the study identified that consumers' attitudes, perceived behavioral control, wine product involvement and motivation exhibit positive influences on their intention to visit WTDs. Conversely, subjective norms and the destination wine image did not influence the intention.

The findings have important ramifications for various parties involved, including the government, travel agencies, tourism associations and wine producers. This research's emphasis on consumer behavior enables practitioners to adjust to the changing needs of consumers in the post-pandemic environment.

The drawn-out model gives an improvised view of consumers’ behavioral intentions to visit WTDs post-COVID-19 by testing an integrated structural model comprising TPB and destination-related constructs. As far as the authors are aware, this research represents the first-ever effort to predict consumer's intentions to visit WTDs post-COVID-19.

The aim of this paper is to explore how information shared by SMIs affects consumers' food tasting intentions. To achieve this, it integrates the IAM and TAM, in conjunction with trust and EWOM.

This paper utilized a convenience sampling technique, employing a survey instrument to gather data online. The questionnaire was distributed across the social media pages of food bloggers from September 11 to November 30, 2023. The collected data was analyzed using SPSS and AMOS.

We developed a research framework that integrates IAM, TAM, Trust, and EWOM variables to assess how information shared by SMIs influence consumers' intentions to explore new food tastes. The model demonstrated enhanced predictive and explanatory capabilities.

This study enriches the existing literature on information adoption and technology acceptance by advancing our understanding of how SMIs influence consumers’ food tasting intentions. Additionally, it aids SMIs in comprehending their role in endorsing new food products and restaurants, fostering trust and reliability among their followers. This study enables consumers to make more informed decisions about trying new food products or dining establishments, empowering them to evaluate influencer recommendations critically.

This study uniquely focuses on the influence of information shared by SMIs on consumers' intentions to taste new foods. While SMIs have been extensively studied in various contexts, such as fashion, beauty, and travel, this research offers a fresh perspective on understanding their impact on consumer behavior within the food industry.

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.

Following a crucial COVID-19 pandemic lockdown, the coronavirus has affected every academic institution, particularly libraries and information centres. To address this unprecedented scenario, libraries’ staff has decided to provide their services via digital access while staying close to the users. To predict users’ intention to use digital libraries after COVID-19, the authors combined the technology acceptance model (TAM), the theory of planned behaviour (TPB) and perceived risk.

Data were collected via a paper-based questionnaire using a convenient sampling method which was distributed at two major libraries; Maulana Azad Library, Aligarh Muslim University and Dr Zakir Husain Library, Jamia Millia Islamia in India.

Empirical findings suggested that all the proposed hypotheses were supported, and the integrated model had strong explanation power as the proposed model explained a 74.5% variance in users’ intention to use digital libraries after COVID-19.

This study offers substantial information to librarians, digital libraries, universities, institutes and other stakeholders and sheds light on the potential for a developing nation to transition to an economy with a strong digital infrastructure. The scope of the study is constrained to the users in India only, hence, leading to the possibility that it may be challenging to generalize the findings.

According to the best of the authors’ knowledge, it is one of the few studies to predict users’ intentions for using digital libraries after COVID-19 by applying the integrated model of TPB and TAM in an emerging economy. It helped understand the users’ attitudes towards using the digital services and resources available at the respective libraries. It also contributed considerably to the argument that users have grown accustomed to harnessing digital libraries during the post-COVID-19 period.

This study examines the economic crisis caused by coronavirus on the global tourism industry in general and the Indian tourism industry in particular. This paper highlights the strategies that tourism companies should implement in times of crisis to reduce the negative impact. It also discovers the business opportunities which can be offered amid this deadly pandemic.

The study is based on a systematic literature review. The literature has been explored by utilizing the keywords “economic crises,” “coronavirus,” “Indian tourism industry,” “Global tourism industry” on the three most popular databases namely Scopus, Web of Science and Google Scholar. In this study, statistics, current events, published research papers and a synthesis of news transmitted by various media sources were used to assess the economic crisis caused by coronavirus.

The obtained findings demonstrate that coronavirus severely affected the economy of the world and India. The pandemic has hit the economies that are dependent on tourism the worst. These countries are expected to bear the brunt of the crisis's consequences for longer than other economies. This coronavirus outbreak indicates that the tourism industry was unprepared to deal with such a pandemic, which affected and crippled the economy.

This study demonstrates economic crisis, management strategies and business opportunities during any crisis, chaos and disaster, in addition to its academic contribution to the existing body of the literature. Policymakers and industry practitioners might be offered suggestions based on the findings of current study to design futuristic strategies for better economic crisis management. The data given in this study is timely because taking an exact idea of tourism losses through the data is difficult, as the data changes as quickly as the virus spreads.

This paper forms its originality by concentrating on the aspects of economic crisis, strategies to mitigate the negative impact of coronavirus on the tourism economy and detailing the business opportunities which these crises can offer. This paper provides an evaluation of the current status of the tourism economy of the world and India as well.