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The purpose of this study is to investigate the antecedents of metaverse adoption intention amongst Muslim students by expanding the technology acceptance model (TAM) to incorporate factors viz. perceived cyber risk (PCR), perceived enjoyment (PE), personal innovativeness in IT (PIT), self-efficacy (SE), trust (TR) and religiosity (RL).

An online survey was circulated using a Google questionnaire to gather information on the study constructs. Purposive and snowball sampling techniques were adopted to reach the targeted students. The proposed associations were examined through the application of structural equation modelling with the use of AMOS software.

The findings suggest that the empirical results derived from the study present a compelling and effective model, and the model is designed to elucidate the intentions of Indian Muslim students regarding their willingness to embrace or adopt the metaverse. The research has identified and showcased a robust conceptual framework that provides insights into the factors influencing the metaverse adoption intentions among Muslim students.

This research adds value to the existing literature by expanding the understanding of metaverse adoption amongst Muslim students. This thorough framework offers an intricate comprehension of metaverse adoption, offering a theoretical framework beyond traditional technological determinants. This study provides important insights that can assist educationists, administrators and policymakers in various ways in chalking out essential strategies, policies and programmes related to metaverse adoption amongst Muslim students.

This study is unique as the six additional constructs, viz. PCR, PE, PIT, SE, TR and RL, are included in the original TAM model, thus filling the literature gap. It also augments the comprehension of the metaverse and unfolds the antecedents of metaverse adoption intention amongst Muslim societies through the lens of students.

This paper aims to examine the technology acceptance model’s applicability in understanding employees’ acceptance of online platforms for knowledge sharing in organisations. Specifically, this research explores gender differences in using online platforms for sharing knowledge at the workplace in an emerging market context and the role of individuals’ motivation in online platform usage in organisations.

A web-based survey was conducted in Vietnam with 290 responses from employees in the banking and insurance industries.

Both intrinsic and extrinsic motivations influenced the perceived ease of use, perceived usefulness and online platform usage for knowledge sharing. The results also confirm a significant influence of perceived ease of use directly on knowledge sharing behaviour using online platforms and indirectly via perceived usefulness. Regarding gender differences, perceived ease of use was more salient in women, while men considered perceived usefulness to a greater extent.

This study provides a complete picture of gender, motivation and technology used for knowledge sharing in organisational settings.

This research has provided additional insight into the importance of gender and motivation in technology acceptance. By doing this, this study helps organisations capture the potential of valuable human resources for their competitiveness.

The purpose of this study is to systematically investigate the factors influencing the adoption and utilization of ChatGPT in the Thai context, using the Technology Acceptance Model (TAM) as a theoretical foundation which bridges the gap between technological innovation and local adoption dynamics, providing critical insights for future technology implementations in similar contexts..

To validate six hypotheses, this study engages 400 respondents residing in Bangkok. Data were collected through a rigorously designed structured survey and analyzed via descriptive and inferential statistical techniques using confirmatory factor analysis and structural equation modeling to validate hypotheses including mediating effect of attitude toward behavior (ATB).

The findings indicate that all determinants significantly influence the intention to adopt ChatGPT (IAC). Additionally, the ATB plays a pivotal role in mediating the relationship between perceived usefulness, perceived ease of use and IAC.

This research shed a new light on emerging trends of Thais’ motivations toward ChatGPT adoption. This may provide an insight into further development and practical implications for businesses.

This study aims to examine the effect of job insecurity and perceived work-social support on career optimism, organizational commitment and turnover intention in the hospitality industry in the post-COVID era.

Data collection was via an online survey of 428 hotel staff. Structural equation modeling techniques support the research model and hypothesis testing.

This study reveals that the perception of job insecurity has a strong effect on turnover intention but no significant influence on career optimism and organizational commitment. Perceived work social support plays a vital role in employees’ coping strategies in difficult work circumstances. It has positive effects on career optimism and organizational commitment.

The study is considered timely in verifying how the perception of job insecurity and work social support influence hospitality employees’ career optimism, organizational commitment and turnover intention as we transition to the post-pandemic era. The findings enrich the literature on job insecurity and career management through a crisis.

本研究旨在研究后COVID-19时期工作不稳定（JI）和工作支持（PS）的认识对酒店业职业乐观OP）、组织承诺（OC）与离职意向（TI）的影响。

数据是通过对428名酒店员工进行在线调查收集的。结构方程模型分析技术用于检验模型及研究假设。

本研究表明JI的认识对TI的影响具有统计意义, 但对OP和OC并没有显著影响。PS的认识对员工在困难工作环境中的应付策略起着重要作用。PS对员工的OP及OC有着积极的影响。

该研究可以说是非常及时地阐明了JI和PS的认识对后疫情时期的酒店业员工的OP、OC与TI的影响。研究结果有助于丰富人们对危机中的JI以及职业管理的知识。

Este estudio examina el efecto de la inseguridad laboral y el apoyo social percibido en el trabajo sobre el optimismo profesional, compromiso organizativo y la intención de rotación en la industria hotelera en la era post-COVID.

La recogida de datos se realizó mediante una encuesta en línea a 428 empleados de hostelería. El modelo de investigación y la comprobación de hipótesis se ha realizado mediante la modelización de ecuaciones estructurales.

Este estudio revela que la percepción de inseguridad laboral tiene un fuerte efecto en la intención de rotación, pero no influye significativamente en el optimismo profesional y el compromiso organizativo. El apoyo social percibido en el trabajo desempeña un papel vital en las estrategias de afrontamiento de los empleados en circunstancias laborales difíciles. Tiene efectos positivos sobre el optimismo profesional y el compromiso organizativo.

El estudio se considera oportuno para verificar cómo la percepción de la inseguridad laboral y el apoyo social en el trabajo influyen en el optimismo profesional, el compromiso organizativo y la intención de cambio de los empleados de hostelería en la transición a la era pospandémica. Los resultados enriquecen la literatura sobre la inseguridad laboral y la gestión de la carrera profesional en situaciones de crisis.

This study aims to investigate the determinants of meta-commerce (metaverse commerce) adoption intention from the consumer perspective.

This research conducted a quantitative cross-sectional field survey to gather primary data from consumers in Jordan. The study aimed to analyze the adoption of meta-commerce from the consumer perspective. The survey collected responses from 574 participants, and the obtained data set was subjected to rigorous analysis using SmartPLS4 to test the proposed hypotheses.

While perceived herd behavior, consumer innovativeness, perceived ease of use, hedonic motivation and perceived usefulness positively influence consumers’ meta-commerce adoption intention, perceived cyber risks negatively influence it. Furthermore, perceived herd behavior and consumer innovativeness positively affect ease of use and usefulness perceptions.

This study presents a significant theoretical contribution by examining meta-commerce adoption from the consumer’s perspective, addressing a gap in the literature. To the best of the authors’ knowledge, this study is one of the first empirical investigations to explore meta-commerce adoption intentions from the consumer standpoint. Furthermore, it provides a novel extension of the “Technology Acceptance Model” for understanding meta-commerce adoption intention that captures the interplay between enablers (perceived ease of use and perceived usefulness), barriers (perceived cyber risks), intrinsic motivation (hedonic motivation), social factors (perceived herd behavior) and personal characteristics (consumer innovativeness), thereby extending previous research on the effects of these factors on the adoption of meta-commerce.

By using a technology acceptance model (TAM) on survey results collected from two member schools of a Vietnamese educational institution, this study aims to uncover the key factors that affect students’ acceptance of e-learning during the Covid-19 period.

A bilingual questionnaire in English and Vietnamese was delivered. It was pre-tested on 30 participants before it was finalized. The authors first reviewed the measurement model and made adjustments to the theoretical TAM model. Then the adjusted TAM was used to investigate the relationships of the constructs in the model.

The results of the structural model show that computer self-efficacy (CSE) has a positive impact on perceived ease of use (PEOU). There is also a positive relationship between system interactivity (SI) and PEOU. Surprisingly, the authors documented that PEOU has no significant impact on students’ attitudes (ATT). The results show that SI can moderately affect ATT. Finally, it is noted that the social factor (SF) directly affects the student’s attitudes (ATT).

This study contains three limitations. First, as this study only focuses on undergraduate programs, readers should be careful in applying the findings and/or implications of this study to other education levels such as K-12, vocational training and postgraduate programs. Second, the findings are generated within the context of one type of e-learning, conducted via Google Meet. Therefore, future research is needed to provide further validation and comparison across other forms of e-learning. Finally, to further prevent the common bias problem, future research should use both five-point and seven-point Likert scales for the response options in the survey, as well as use negatively worded items. This will help prevent respondents from providing similar answers to all questions.

This study has both theoretical and practical implications. From a theoretical perspective, the study can provide a solid framework for similar studies. From a practical perspective, this study offers implications for governments and universities in the process of adopting e-learning, given that the Covid-19 pandemic is currently in its second and more dangerous wave.

This study intends to unmask the antecedents of metaverse adoption intention (MAI) within the Indian hospitality industry. To achieve this objective, we extended the “unified theory of acceptance and use of technology” (UTAUT) by integrating additional constructs: “perceived cyber risk” (PCR), “trust” (TR), “personal innovativeness in IT” (PIT) and “hedonic motivation” (HM).

A quantitative research methodology was employed, utilizing data gathered through an online survey disseminated via Google Forms to evaluate the constructs of the study. Convenience and snowball sampling were used, and the proposed relationships were analyzed using “partial least squares structural equation modeling” (PLS-SEM).

The study presents a robust model explaining MAI among Indian hospitality consumers, with a high R² of 81%, indicating strong predictive relevance. Core UTAUT constructs (PE, EE, SI and FC) and additional constructs (TR, HM and PIT) positively influence MAI, while PCR negatively impacts it.

This research enhances the existing body of knowledge by providing a deeper insight into metaverse adoption among hospitality consumers in India. The proposed framework provides a more nuanced perspective on metaverse adoption, extending beyond conventional technological factors.

This study is distinctive in its integration of four additional constructs- PCR, TR, PIT and HM- into the original UTAUT model, thereby addressing a gap in the existing literature. Furthermore, it advances the understanding of the metaverse by identifying key antecedents influencing MAI among Indian hospitality consumers.

Travel destinations worldwide are seeking smart ways to reduce the negative impact of tourism, and the public bike rental service (PBRS) is one of them. To investigate the usage intention of this service among visitors, the author of this research employs an integrated approach consisting of two psychological frameworks: the Norm Activation Model (NAM) and the Technology Acceptance Model (TAM).

The integrated NAM-TAM model is implemented to conduct a survey (sample n = 777) with visitors to Hanoi, Danang, and Ho Chi Minh City regarding the factors underlying their intentions to continue using the PBRS TNGo.

Structural equation models suggested that: (1) the NAM-TAM can explain behavioural intention to use a smart PBRS. Perceived Usefulness (PU), Perceived Ease of Use (PE), and Awareness of Consequences (AC) have positive and significant impacts on Attitude Towards Using (AT) and, thus, on Behavioural Intention to Use (BI). Also, Personal Norms (PN) positively influence BI. (2) Among the four independent variables, tourists' AC produces the most potent effect on the intention to continue using a PBRS.

This study can start a new research direction of combining the NAM with other theoretical frameworks to explain customer behaviour in the field of sustainable tourism practices. Future research should explore the proposed model based on comparisons of different tourists’ backgrounds, including nationality, length of stay, spending level, visiting purpose, etc.

This research provides strategic implications for destination management organisations in boosting the use of PBRS amongst tourists, contributing to the environmental sustainability targets of the tourism industry.

This study responds to the existing gap by examining both functional value (indicated by PU and PE) and perceived environmental/social value (proxied by AC) in forming tourists’ attitudes towards PBRS and their usage intention. Our study, therefore, actively contributes to the research stream of tourist behaviour in the field of sustainable tourism practices from the altruistic behavioural perspective.