Search results

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.

This study aims to investigate citizens' adoption intention towards meta-government (metaverse-based government) by proposing a dual-perspective technology acceptance model.

The validity of the proposed model was established by gathering and analysing 533 responses using structural equation modelling (SEM).

The study findings underscore the importance of perceptions of ease of use and usefulness in fostering the intention to adopt meta-government. However, perceived cyber risk and switching costs negatively impact these perceptions. On the contrary, herd behaviour and perceived immersion positively influence perceptions of ease of use and usefulness.

This study significantly contributes to the existing literature by offering valuable insights into the factors that influence citizens' adoption of meta-government. It introduces a novel perspective on the primary factors (both enablers and barriers) shaping citizens' adoption intention of meta-government. These insights serve as a foundation for scholars, governments and policymakers to develop effective strategies for promoting meta-government adoption.

The primary objective of this study is to explore consumers' non-adoption intentions towards meta-commerce (or metaverse retailing). Utilizing the Innovation Resistance Theory (IRT) as the theoretical foundation, this study investigates the impact of diverse barriers on non-adoption intentions within the meta-commerce context.

A total of 356 responses were gathered to test the proposed hypotheses. Structural Equation Modelling (SEM) with SmartPLS 4 software was used to examine these hypotheses.

The findings of this study show that perceived cyber risk, perceived regulatory uncertainty, perceived switching cost and perceived technical uncertainty are significantly linked to non-adoption intention towards meta-commerce. Furthermore, the study suggests that the moderating influence of technostress on these connections is more pronounced for consumers with high technostress compared to those with low technostress.

This study makes a significant contribution to the current body of literature by providing valuable insights into the fundamental barriers that consumers encounter when contemplating the adoption of meta-commerce. This contribution is particularly noteworthy as it fills a gap in the existing literature, as no prior study has comprehensively examined the primary obstacles that shape consumer intentions towards meta-commerce adoption. This novel perspective offers scholars, businesses and policymakers a foundation for developing strategies to address these barriers effectively.

This study aims to examine the main factors influencing customer meta-banking (metaverse banking) adoption intention based on the unified theory of acceptance and use of technology (UTAUT) model.

In this study, the PLS-SEM modelling technique was used to analyse the quantitative data collected from a total of 407 participants who were purposefully chosen.

The findings revealed that performance expectation, effort expectancy, facilitating conditions and hedonic motivation have significant positive effects on customers’ perception of the value associated with adopting the metaverse. However, the effect of social influence was found to be statistically insignificant. The results further emphasised that technostress is an obstacle that negatively influences the perceived value. Lastly, perceived value is found to be a key facilitator of adoption intention as it shows a positive effect on it.

This study stands at the forefront of research on banking customers’ adoption intention of meta-banking. Going beyond the investigation of adoption intention, the research also critically assesses the applicability of UTAUT in the context of meta-banking. The results demonstrate that UTAUT is a viable theoretical framework for examining the dynamics of meta-banking. In particular, the findings indicate that UTAUT model provides a reliable lens for comprehending the intricacies of meta-banking adoption.

The purpose of this study is to investigate the determinants that likely influence the intention of using digital payment systems such as the Jordan Mobile Payment (JoMoPay) system among public sector employees in Jordan. To achieve the purpose of the current study, the authors developed a new research model based on the extended unified theory of acceptance and use of technology (UTAUT2), with one of Hofstede’s cross-cultural dimension scales [uncertainty avoidance (UA)] to provide a further understanding of the JoMoPay system acceptance in Jordan.

A partial least squares-structural equation modeling approach was used to analyze the data collected by self-administration from the 270 employees working in the Jordanian public sector located in Amman city, the capital city of Jordan. Because most main public sectors are located in Amman and because of the cost and time considerations, the current study applied a non-probability sampling with the purposive sampling technique.

The empirical results reveal that the evident drivers of behavioral intention to use the JoMoPay system are significantly and positively influenced by social influence, UA, performance expectancy, price value and effort expectancy; therefore, the H1, H2, H3, H5 and H6 were supported. Conversely, the results show no significant relationship between facilitating conditions and the behavioral intention to use the JoMoPay system, and hence, the related hypothesis (H4) was not supported.

The results of this study provide beneficial information to the Central Bank of Jordan and other service providers in Jordan about employee intentions to adopt JoMoPay system and increase decision-makers’ knowledge on factors that have an important impact in UTAUT2 model.

The results of this study enable policymakers to understand the important factors that will enhance savings, investments and living standards, create job opportunities as well as reduce the poverty, the paper money printing cost, risks of money transportation cost and the risk of human errors.

The outcomes obtained will help both practitioners and researchers elucidate and understand the situation of digital payment systems acceptance among Jordanian public sector employees, as well as help them formulate plans to expedite the adoption process of digital payment systems in the case of UA.

This research aims to determine the effect of marketing literacy on the success of entrepreneurial projects (EPS) in Palestine.

To attain the study’s purpose, the researchers employed the questionnaire, which was applied to a random sample of 298 individuals from the owners of entrepreneurial projects in Palestine. The data were analyzed and tested using SmartPls 4 software.

The study reached a set of results, including that the level of marketing literacy among owners of small businesses in the Gaza Strip was significantly higher for customer service (CS), management style (MS), technology (T) and customer retention (CR). In particular, the results implied that CS, MS, T and CR significantly and positively affect EPS.

This research would help the start-ups in Palestine spread marketing literacy among the workers in entrepreneurial projects.

Today, most countries tend to support entrepreneurs and owners of creative ideas and entrepreneurial projects through various programs. To the best of the authors'' knowledge, this research is distinguished by its modernity and scarcity in the Arab world, particularly in Palestine. Thus, it would help raise awareness of marketing literacy among owners of entrepreneurial projects and provide empirical evidence of success for those who are about to establish an entrepreneurial project.

The purpose of this study is to inform the variables affecting the use of digital library, user satisfaction and net benefits perceived by Indonesian open university (IOU) students. The merge of the technology acceptance model and the information system success model was proposed.

Through a large-scale survey, the instrumentation was validated and examined for the reliability through some steps: face and content validity, pilot study and measurement model. In the data collection phase, 2,695 IOU students participated in filling out the survey instrument. The data were computed in the SmartPLS application and analyzed through a structural model evaluation, the partial least square structural equation model.

The analysis informed that most hypotheses were confirmed, informing the roles of all exogenous variables to the endogenous. The most significant determinant of use of digital library was perceived usefulness. User satisfaction was mostly influenced by perceived ease of use. Meanwhile, the strongest determinant of net benefits was user satisfaction.

By integrating these two models, this study is expected to provide deeper insight into how and why open university students use digital libraries. The current study provides recommendations for further improvements. It seeks to fill the research gap regarding the use of information technology in the context of open and distance education.

This study aims to investigate how fear of missing out (FOMO) mediates the relationship between cryptocurrency adoption intention and investment behavior among young Indians, using the extended unified theory of acceptance and use of technology.

The data were collected by using survey items on cryptocurrency adoption intention, investment behavior and FOMO derived from existing literature on information systems and cryptocurrencies. A total of 384 Indian participants completed an online questionnaire. The collected data was analyzed using PLS-SEM.

The findings indicate that facilitating conditions, social influence, effort expectancy and price value play important roles in cryptocurrency adoption. All hypothesized paths were significant, except for perceived risk. Furthermore, the study highlights that FOMO acts as a mediator between adoption intention and investment behavior.

This study makes a valuable addition to the literature by empirically exploring the influence of FOMO on the adoption of cryptocurrencies for investment purposes. The results provide valuable insights to crypto developers and exchanges regarding the diffusion of adoption in emerging markets. In addition, policymakers can gain meaningful insights into the influence of government regulations and FOMO on impulsive cryptocurrency behavior.

The purpose of this paper is to highlight the role an intentional and cohesive research group for doctoral researchers and supervisors can play in surfacing and de-mystifying many of the implicit doctoral literacy practices involved in doctoral study.

This participatory, collaborative project, involving 11 doctoral researchers and three supervisors, was conducted in two stages. In the first stage, doctoral researchers and supervisors engaged in a discussion which resulted in a shared concept map. The concept map was then used as a prompt for stimulated recall interviews in which the participants reflected on the connections and peer learning afforded by the research group.

Drawing on ideas from Communities of Practice theory, the data revealed that the research group, including both supervisors and doctoral students, developed knowledge, relational connections and an awareness of a range of doctoral literacies.

This paper makes suggestions for how those in doctoral education can develop and embed research groups into institutional practices.

This study demonstrates the significant role a research group which is structured, intentional and guided plays in supervisors’ and doctoral students’ development of doctoral literacies and the fundamental intellectual and relational connections afforded by participating in such communities.

This study aims to investigate the factors that may hinder or facilitate consumers’ adoption of mobile-commerce (m-commerce) activities in the context of developing countries exemplified here by Oman.

A conceptual model was developed through integrating factors from UTAUT2 (performance expectancy, expectancy effort, social influence, facilitating conditions, hedonic motivation, price value, habit and self-efficacy) and SERVQUAL (system quality, service quality and information quality). Data were collected from 530 Omani m-commerce users through a cross-sectional survey.

The results of the structural equation modelling showed that consumers’ behavioural intention (BI) towards m-commerce adoption was significantly influenced by information quality, habit, performance expectancy, trust, hedonic motivation, service quality, price value and facilitating conditions, in their order of influencing strength, and explained 65.5 per cent of the variance in BI. Unexpectedly, effort expectancy, social influence, self-efficacy and system quality had no significant effect on BI.

This study will explain the currently relatively low penetration rate of m-commerce adoption in Oman, which will help local m-commerce businesses to develop the right organizational strategies, especially related to marketing strategies and developing mobile applications, which will draw the attention of many users.

This is one of the few studies that integrates UTAUT2 with SERVQUAL and tests the proposed model in non-Western cultural contexts. Specifically, in contrast to previous studies, diversity of individuals’ acceptance behaviour is examined in Oman.