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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.

In 2019, Generation Z (Gen Z) accounted for 32% of the world population, as per the report by Bloomberg, Gen Z in India is world's largest with 472 million people, still there is very limited research conducted to explain their intention to visit heritage sites. This paper aims to report the findings of an empirical research focussing on Gen Z Indians' intention to visit heritage sites by applying theory of planned behaviour (TPB) with two additional constructs, i.e. environmental concern (EC) and environmental friendly activities (EFA).

As a fundamental theoretical framework, the TPB model is used. Data consists of responses of 434 Gen Z Indians which were collected through online questionnaires. Using structural equation modelling (SEM) technique, the measurement and structural model were tested with the help of AMOS 22 and SPSS 25 software.

The results of SEM indicate that the hypothesized relationships between attitude (AT), subjective norms (SN), EC, EFA and intention to visit heritage sites were all supported. However, perceived behavioural control (PBC) did not influence intention.

The study's findings have substantial practical implications for organizations/travel companies that primarily deal in heritage sites. The findings of this study contribute to the body of knowledge about intention to visit heritage sites. As the study focuses mostly on Gene Z Indians, it is difficult to extrapolate the findings to other countries.

This paper will help the researchers and practitioners to understand the Gen Z Indians' intention of visiting heritage sites. To the best of the authors' knowledge, this is the first study that predicts intention of Gen Z Indians to visit heritage sites.

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 paper aims to examine travelers’ behavioral intention of traveling in the period of coronavirus by using the theory of planned behavior. The framework incorporates attitude, subjective norms, perceived behavioral control and a very crucial construct, i.e. perceived risk, as per the current critical scenario of COVID-19.

Data was collected using a survey instrument on the internet by posting the questionnaire link over social network web pages of online traveling websites. The data was analyzed using structural equations modeling with AMOS 22.0 and SPSS software and the proposed hypotheses were statistically tested. The sample under consideration constitutes 417 responses.

Empirical findings suggest that attitude, perceived behavioral control and perceived risk are significant for predicting behavioral intention while subjective norms do not. Then, these variables explained about 35% of the variance in the behavioral intention of traveling in the period of coronavirus.

This study can benefit travelers, the tourism and hospitality industry, governments, the aviation industry and other relevant organizations as this paper offers the latest updates and essential information regarding traveler’s intention of traveling in the period of coronavirus. The study mainly focuses on India, so the generalizations of results to other countries are unwanted.

The primary value of this paper is that it tested the theory of planned behavior by incorporating perceived risk in the context of COVID-19. To the best of the authors’ knowledge, in the Indian context, there is no study, which has tested the TPB by adding perceived risk in explaining the Indian citizens’ behavioral intention of traveling in the period of Coronavirus.

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.

This study used an integrated framework that incorporates the technology acceptance model (TAM) (Davis, 1989), the theory of planned behavior (TPB) (Ajzen, 1991) and trust to examine factors that mainly influence consumers' intention towards the use of smart technologies in tourism and hospitality (T&H) industry. The Internet of things (IoT), artificial intelligence (AI), virtual reality systems, augmented reality systems, etc. are the Smart 4.0 technologies generally used in T&H industry these days.

Convenience sampling approach was employed in this study. Data were collected over the Internet using a survey instrument by posting the questionnaire link on social network web pages of travel agencies from November 10, 2021, to December 30, 2021. In the opening statement of the questionnaire, we have explained about the Smart 4.0 technologies so that every respondent could understand what we mean by Smart 4.0 technologies.

The findings show that conjoining the TAM and the TPB with trust resulted in a robust model for explaining customers' intention toward using smart technologies in the T&H industry.

Smart technologies have become one of the most profitable e-commerce applications. This study examines and integrates the various advantages of smart technologies for the consumers in T&H industry, as well as providing insight into the intentions of Indian consumers. Hence, this study gives significant information to IT companies, online travel agencies, tour operators, travel agents, T&H planners and other stakeholders on Indian consumers' behavioral intentions (BIs).

This study tested the utility of the extended model in predicting consumers' intention towards the use of smart technologies in T&H industry. As far as the authors' knowledge is concerned, this is the first study that predicted intention of Indian consumers towards the use of smart technologies in T&H industry by integrating TAM, TPB and trust.

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 purpose of this paper is to examine rice attributes that are valued by the urban consumers of Cambodia and identifies the factors that influence consumers’ decisions on a set of rice attributes.

The study uses incomplete ranking choice data, gathered from a stated preference survey conducted from 350 consumers of two cities in Cambodia, to model consumers’ alternative choices of rice traits in a setting of a random utility framework. Empirically, a rank-ordered logistic regression is fitted to identify the factors influencing consumers’ perception on a set of rice attributes.

The results suggest that the probability of choosing rice that is soft is highest for consumers in Cambodia. The second and third most preferred rice attributes are taste and aroma, respectively. The results also indicate that rice consumption is significantly affected by location, economic class of consumers, family size and educational attainment.

The research was carried out using consumers in two urban cities in Cambodia as a case study; therefore, the findings might not represent all consumers’ preferences for rice traits in the country.

The present study contributes to the overall rice grain preference literature examining consumers’ perceptions on rice traits and the factors influencing their decision in choosing rice traits. The results originating from this study will help to guide rice breeders in developing new varieties with traits that will be acceptable to consumers and other value chain actors.