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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.

The purpose of this study is to provide a review of the existing research landscape on work-life balance and women’s career motivation. It examines the relationship between work-life balance and career motivation in the context of Indian women. Specifically, it explores how the work-life balance of women influences the motivational aspects of their careers.

The research uses a systematic literature review to identify and analyze relevant literature on work-life balance and women’s career motivation among Indian women from the Scopus database.

The study uncovers critical insights into the connection between work-life balance and women’s career decisions. It gives insight on how work-life balance significantly impacts women’s career choices. The SLR reveals a notable and consistent upward trend in the domains of work-life balance and career motivation among women.

The findings of this study can inform organizations in tailoring policies that foster women’s career growth while simultaneously supporting a healthy work-life balance. In addition, the research can empower women to make informed decisions about their careers and personal lives. Ultimately, it contributes to creating a more inclusive and gender-equitable work environment, promoting both women’s career aspirations and their overall well-being.

This research stands out in its examination of the relationship between work-life balance and women’s career motivation, particularly in the unique context of Indian women. While previous studies have explored these topics individually, this research bridges the gap by investigating their interplay. Moreover, the application of a systematic literature review approach to these variables in the context of Indian women represents a novel contribution.

Space tourism is currently experiencing significant attention because of its rapid and burgeoning development in the present era. This surge has resulted in an unprecedented growth in publications dedicated to unravelling the intricacies of space tourism. However, there is a conspicuous absence of a large-scale bibliometric analysis focusing on space tourism research from 1993 to 2022. Therefore, the aim of this study is to fill this research gap by examining and mapping the scholarly output published across the world in the spectrum of space tourism over the past 30 years (1993–2022).

A corpus of 7,438 publications pertaining to space tourism published from 1993 to 2022 was gathered from the Web of Science Core Collection. Accordingly, bibliometrix package in R and VOSviewer software were used to conduct a comprehensive bibliometric analysis.

The current study highlights a significant surge in publications related to space tourism, indicating a heightened scholarly interest and a significant paradigm shift in its exploration. Scott M. Smith, affiliated with National Aeronautics Space Administration Johnson Space Center, emerges as the most prolific author. Leading journals in disseminating space tourism research are Acta Astronautica and Aviation Space and Environmental Medicine. Keyword analysis revealed hotspots such as “space flight”, “simulated microgravity”, “weightlessness” and “stress”, while research gaps include “skylab”, “shuttle”, “cartilage”, “herpes virus” and “herniation”, offering potential avenues for exploration.

This study’s implications empower stakeholders with actionable insights and deepen the understanding of the evolving landscape of space tourism research, fostering an environment conducive to continuous exploration and innovation in this burgeoning field.

This study enriches the understanding of global space tourism research and offers valuable insights applicable to a diverse audience, including researchers, policymakers and industry stakeholders. The broad applicability of the study’s findings underscores its significance, serving as a guide for strategic decision-making and shaping research agendas in the dynamic realm of space tourism.

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.

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.

This study aims to conduct a comprehensive review of scholarly literature on the educational impacts of the metaverse, systematically identifying emerging themes, challenges and implications for metaverse education.

The study uses systematic literature review techniques using the Scopus database to investigate empirical studies and systematic reviews specifically examining the convergence of the metaverse and education.

The study shows that the metaverse has a substantial influence on education, emphasising immersive learning, real social interactions and the transformation of traditional frameworks. This paper identifies nine themes, illuminating the growing relevance of metaverse tools in academic institutions, influencing learning methods, outcomes and positive student dispositions.

This study provides a foundation for further investigations into the metaverse’s potential to disseminate knowledge and enhance comprehension of metaverse technologies. It explores the metaverse’s potential in relation to progress, upcoming trends and cultural awareness while highlighting obstacles that must be addressed for effective metaverse teaching.

This research paper makes a substantial scholarly contribution by undertaking a systematic analysis of empirical studies and identifying emerging themes in the area of metaverse education. It offers substantial insights into the transformative potential of metaverse education and its implications for pedagogical and instructional approaches in the digitised era through the analysis of fundamental inquiries.

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 purpose of this study is to assess students' behaviors toward biodiversity management in higher education institutions. This study expands upon the value belief norm (VBN) theory by examining how environmental values, beliefs and norms impact students' engagement in biodiversity management.

An online survey was undertaken using a Google questionnaire. Convenience and snowball sampling techniques were adopted to reach the targeted students. The proposed associations were examined through the application of SEM with the use of AMOS software.

The findings provide valuable insights into students' behaviors regarding biodiversity management and demonstrate that extending VBN theory to the context of biodiversity, with the incorporation of environmental knowledge and environmental-friendly activities, resulted in a robust model for understanding students' behaviors toward biodiversity management in higher education institutions.

The findings can guide targeted interventions to boost student engagement in biodiversity management. Understanding the factors influencing their behaviors can aid in designing effective educational programs that promote biodiversity conservation and management.

This uniqueness of this study rests in its extension of the VBN theory to the context of biodiversity management, the exploration of environmental knowledge and environmental-friendly activities, and its focus on higher education institutions. Its value lies in guiding targeted interventions and campus sustainability strategies, aligning with UN SDGs to support global biodiversity and sustainable practices.

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.