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This study aims to contribute to the scholarly discourse on the future of money, particularly within the context of Islamic principles. The focus is on examining the intricate intersections of financial development, technological advancements and the emerging metaverse. The research intends to explore the holistic framework encompassing regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse.

The research design incorporates a comprehensive approach, using various elements such as regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse. Data collection involves a questionnaire administered to 318 respondents in the UAE. The methodology uses structural equation modeling – partial least squares (SEM-PLS) to assess the research model and test hypotheses.

The results from the Smart PLS path analysis indicate noteworthy findings. There are significant impacts of fintech adoption, regulatory environments, technological infrastructure and customer trust on the competitiveness of Fintech solutions. Importantly, Sharia compliance emerges as a crucial contextual filter, influencing the interplay between Sharia compliance, fintech adoption and fintech competitiveness. The study provides theoretical insights by emphasizing the pivotal role of Sharia compliance in the dynamics of fintech adoption.

This study contributes original insights to the existing body of knowledge. By exploring the multifaceted connections between financial development, technological advancements and the metaverse within the Islamic context, the research offers a unique and comprehensive perspective. The emphasis on the holistic framework that considers regulatory dynamics, technological infrastructure, consumer trust and Sharia compliance adds originality to the understanding of factors influencing the competition and sustainability of Islamic fintech solutions in the UAE.

This study aims to explore the effects of internal financial technology (FinTech) integration within Jordanian banks on their performance metrics, specifically focusing on profitability, risk-taking and stock returns.

Using panel data analysis, this study investigates the financial performance of 13 listed commercial banks in Jordan over a decade, from 2010 to 2019, to examine the hypothesized impacts of bank FinTech developments. In addition, several robustness tests addressing potential issues of endogeneity and autocorrelation are conducted to enhance the reliability of the results.

The results reveal that the bank FinTech development significantly enhances bank profitability and inversely affects risk-taking levels, indicating a substantial and positive impact on financial performance and stability. However, the results suggest no significant evidence of the effect of bank FinTech development on stock return.

The findings advocate for Jordanian commercial banks to continue and expand their investment in FinTech innovations, highlighting the crucial role these technologies play in enhancing financial performance and reducing bank risks. Additionally, these findings suggest that regulatory bodies and policymakers should develop and enhance institutional and regulatory environments to support and guide the FinTech evolution within the banking sector.

This study sheds light on the relatively under-researched area of internal bank FinTech. It provides critical insights into how FinTech integration within banks contributes to their profitability and stability, offering another perspective that enriches the FinTech literature. This contribution is essential for devising future strategies, developing theoretical frameworks and informing policy decisions in the FinTech domain.

This study aims to investigate the impact of trust in the metaverse on the Islamic banking sector, particularly in facilitating market success. Additionally, it seeks to explore the relationship between metaverse-driven brand image, product features, service quality and overall performance in the market.

Data were collected from 187 participants in Jordan, with the SmartPLS software used to test the hypotheses.

The findings reveal a significant impact of metaverse-enhanced brand image, product features and service quality on Islamic banking market performance. Furthermore, customer trust in the metaverse plays a significant role in shaping the relationship between product features, service quality and Islamic banking market performance.

The study’s practical implications still suggest the need for a more holistic metaverse-driven approach. Investing in service quality initiatives alone may not adequately build and sustain customer trust in the metaverse. Instead, transparent communication on ethical practices in the metaverse is required to reinforce trust and magnify the positive influence of superior service quality in the metaverse.

This study aims to explore the factors affecting investment behaviour in cryptocurrencies among Jordanian investors. Specifically, it aims to assess how various motivational and behavioural drivers impact the intention to use cryptocurrencies, grounded in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The choice of Jordan as the research context is particularly relevant due to the lack of adequate regulations on cryptocurrency investment.

This study uses a quantitative research approach, using an online survey as the primary method for data collection. The final data set consists of 285 responses collected through a self-administered questionnaire to cryptocurrency users in Jordan. Next, structural equation modelling (SEM) was used to test the developed theoretical framework based on the UTAUT2 model.

The findings reveal that performance expectancy, trust, hedonic motivation and price value significantly enhance the intention to invest in cryptocurrencies, with performance expectancy acting as a mediator. Effort expectancy is not directly related to behavioural intention; however, it positively impacts performance expectancy, validating the mediation hypothesis. Trust affects both the intention to use and the performance expectancy, reinforcing its role as a mediator in cryptocurrency adoption. Hedonic motivation and price value also positively affect the intention to use cryptocurrency. In contrast, social influence and facilitating conditions do not significantly impact behavioural intention, suggesting that cryptocurrency adoption decisions are less influenced by external opinions or the availability of necessary conditions. The findings also show that the demographic profiles of the cryptocurrency users were young, educated males, which suggests a demographic skew in cryptocurrency usage in Jordan.

This study innovatively adapts the UTAUT2 model, focusing on the mediating role of performance expectancy between effort expectancy, trust, and behavioural intention. This study pioneers by examining the mediation effect of performance expectancy, showing how users' ease in using cryptocurrencies positively affects their belief in positive outcomes, subsequently influencing their behavioural intention to use cryptocurrencies. Moreover, this study sheds light on the factors driving cryptocurrency adoption in developing countries like Jordan. It also underscores the demographic trends in cryptocurrency use and proposes targeted recommendations for policymakers and cryptocurrency platforms to foster more inclusive and informed investment environments.

Ijara is one of the exchange contracts that is based on selling benefits and services. There are several forms of Ijara: Ijara specified objects, specified work and hiring a private or joint employee. The target of all these is obtaining a benefit. For instance, in the specified Ijara, the lessee desires to obtain a benefit from a specified person in particular, and in the forward Ijara, the purpose is obtaining the benefit in accordance with specified specifications. Indeed, Islamic banks can obtain these benefits through Ijara them from their providers and re-Ijara them to customers upon request. Hence, the purpose of this paper is to determine the Shariah ruling of the Islamic law of Ijara persons' benefits. Moreover, it aims to determine to what extent is it possible to consider Ijara and selling the benefits prescribed in disclosure and as a financing instrument in Islamic banks aiming at providing citizens with services, mainly in the virtual era.

The current research is framed within the descriptive and analytical research through illustrating the nature of Ijara, its conditions, pillars, evidence of its legitimacy and its kinds as well. The methodology used attributes the Quranic verses to their contexts in the Holy Quran and authenticates the noble hadiths of the Prophet.

The current research concludes that it is legally permissible to lease these benefits and re-lease them. However, in the specified Ijara, the hired person must perform the work himself and it is not permissible to be replaced by a third party, whereas in the forward Ijara, the contracted work is permitted to be carried out by a third party as long as it complies with the specifications required and contracted.

This study contributes to the current literature by providing a guide to Islamic banking regulators to promote Ijara in Islamic banking.

This paper aims to investigate the variables that could contribute to facilitating or hindering FinTech adoption in Jordan and how that will affect human well-being (quality of life [QoL]).

A conceptual framework was formulated through the integration of “the unified theory of acceptance and use of technology” (UTAUT), “task-technology fit” (TTF) model and two additional factors, namely, “financial literacy” (FL) and “quality of life” (QoL). A cross-sectional online survey was used to obtain data from 378 FinTech users employing a quantitative method. AMOS 26.0 was utilized to analyse the data based on “structural equation modelling” (SEM).

The analysis of the structural path found that UTAUT constructs including “performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), social influence (SI)”, and TTF were significant determinants of FinTech adoption. Only technology characteristics (TECH) was a significant predictor of TTF. Also, the analysis of empirical data revealed a significant mediating impact of FinTech adoption on the association between FL and QoL, underlining the important role of digital FL in digitalizing societies. Likewise, FL affected the QoL directly.

This research will be beneficial for “FinTech service providers” (FSPs) and policymakers to offer thorough insights regarding the current relatively low acceptance rates of FinTech, contributing to strategies’ formulation that could promote FinTech usage by Jordanian customers, where FinTech is still considered an innovative technology. In addition, FL needs to integrate digital literacy to utilize state-of-the-art technologies for more effective financial management. This is with being able to make decisions facilitating the management of life outcomes which could result in better QoL.

To the best of the author’s knowledge, this research is the first research paper that integrates the UTAUT and TTF models and also adds two additional constructs, namely, FL and QoL, to investigate the FinTech in the Jordanian setting. This study could contribute to the literature on IT adoption by considering FinTech usage and incorporation into individuals’ life in Jordan.

The recent progress of digital accounting has significantly affected businesses’ sustainable production process. Businesses generally use digital accounting applications to automate their operational procedures and increase their corporate efficiencies through improved output quality and sustainability. Consequently, the purpose of this study is to look into the antecedent factors that directly and indirectly influence blockchain technology adoption in the context of digital accounting systems.

The data of the current study were obtained from 346 accountants working in information technology companies. Partial least squares structural equation modeling was used to test the research proposal model.

The empirical results confirmed that the adoption of blockchain technology is most considerably impacted by perceived usefulness, whereby it was also revealed that perceived ease of use has a direct and indirect effect on blockchain technology adoption.

According to the researchers’ knowledge, this study addresses a vital research gap in the literature by suggesting a comprehensive research model that can help garner enhanced usage of blockchain technology and its implications in digital accounting systems in the Jordanian context.

This study seeks to examine the mediating role of innovative work behavior (IWB) in the relationship between entrepreneurial leadership (EL) and employee performance.

The study adopted the cross-sectional research design of quantitative approach where data were collected from 344 employees in Ghana’s food and beverages industry. The retrieved data were analyzed using descriptive and inferential statistics (partial least squares structural equation modeling).

Mainly, the study revealed that IWB positively and significantly mediated the relationship between EL and contextual and task performance (TP). The study found that EL has a significant positive relationship with task and contextual performance (CP). This indicates that leaders who demonstrate entrepreneurial qualities, such as innovation, proactiveness and risk-taking, are likely to enhance their team’s ability to complete specific tasks effectively (TP) and contribute positively to the broader organizational environment (CP).

Practically, organizations that prioritize EL qualities among managers and supervisors in the form of providing training programs, coaching and mentorship opportunities that emphasize innovation, risk-taking and pro-activeness in decision-making significantly influence their employee performance.

The originality and value of this study lie in its comprehensive exploration of the relationship between EL, IWB and performance outcomes.

The paper’s main goal is to examine the relationship between the video marketing of financial technologies (Fintechs) and their vulnerable website customers’ brand engagement in the ongoing coronavirus disease 2019 (COVID-19) crisis.

To extract the required outcomes, the authors gathered data from the five biggest Fintech websites and YouTube channels, performed multiple linear regression models and developed a hybrid (agent-based and dynamic) model to assess the performance connection between their video marketing analytics and vulnerable website customers’ brand engagement.

It has been found that video marketing analytics of Fintechs’ YouTube channels are a decisive factor in impacting their vulnerable website customers’ brand engagement and awareness.

By enhancing video marketing analytics of their YouTube channels, Fintechs can achieve greater levels of vulnerable website customers’ engagement and awareness. Higher levels of vulnerable customers’ brand engagement and awareness tend to decrease their vulnerability by enhancing their financial knowledge and confidence.

Fintechs should aim to increase the number of total videos on their YouTube channels and provide videos that promote their customers’ knowledge of their services to increase their brand engagement and awareness, thus reducing their vulnerability. Moreover, Fintechs should be aware not to over-post videos because they will be in an unfavorable position against their competitors.

This research offers valuable insights regarding the importance of video marketing strategies for Fintechs in promoting their vulnerable website customers’ brand awareness during crisis periods.

Artificial intelligence (AI) use is on the rise and evolving fast, which expectedly is set to transform the way we carry certain processes in accounting. This study aims to examine the use of AI in enhancing accounting efficiency in terms of AI adoption, employee competence, data quality and organizational readiness.

This study gathered data from 192 participants working in the field of accounting in Jordan to look into these factors and how they influence the efficiency of accounting processes. The research hypotheses were tested using partial least squares (PLS)-structural equation modeling.

The outcomes of this study documented that a high level of AI adoption, better data quality and competent employees can achieve better accounting efficiency. The PLS analysis also showed that accounting efficiency in Jordan could be enhanced with increased AI adoption level, mainly when organizational readiness elements such as sufficient infrastructure and positive organizational cultures are in place.

In the realm of emerging markets, this study takes a leading position as the researcher recognizes the vital importance of AI in increasing accounting efficiency across different entities. The outcomes of this study highlight the importance of aligning AI initiatives with broader organizational development strategies to fully gain the advantages of AI in accounting.