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This study aims to identify the factors that could explain the intention to use Paytech services within an Islamic banking context. The authors use an extended version of the technology acceptance model to develop a causal–predictive analysis.

The research model and hypotheses were tested by applying partial least square-structured equation modeling to data collected from 214 users of Islamic banking in Saudi Arabia.

The results show that perceived trust has a highly significant direct effect on the intention to use Islamic Paytech services, whereas perceived risk has a significant indirect effect on IU.

Internet banking behavior may not be static. In technology acceptance, during the various phases from introduction to the maturity phase, the respondent’s perceptions tend to change

From the point of view of Fintech services providers, the knowledge of the factors fostering the adoption of Fintech services would allow an international expansion without the inconvenience of establishing offices or companies in countries whose legislation does not favor the operations carried out by Islamic banks.

These digital payment services would allow access to financial services to the entire Muslim population regardless of their location (Islamic and non-Islamic nations) and will also reach out to the next generation of young Muslims as a majority are “digital natives” ready for digital Islamic financial solutions.

This study is the first to explore the intention to use Paytech services by Islamic banking users in Saudi Arabia. From a theoretical perspective, this work contributes to the academic literature by analyzing the intention to use Paytech services in an Islamic banking context. On the practical front, the study identifies the crucial factors that industry players can use to design their Paytech applications and services to increase financial inclusion in Saudi Arabia and other countries with similar cultures as well as to design an international expansion without the inconvenience of establishing offices or companies in countries whose legislation does not favor the operations carried out by Islamic banks.

This study aims to explore the opportunities and challenges in activating a Smart Contract to enhance the efficiency and effectiveness of Ṣukūk offerings in the Islamic capital market.

The study adopts a mono-method qualitative approach. Data were obtained from survey interviews of two issuances on the fusion of smart contracts in Ṣukūk structures that were Sharīʿah-compliant. A thematic approach was further used to analyze the interview data based on the onion research method while opportunities and challenges of activating the Smart Ṣukūk (SṢ) relied on doctrinal evidence.

The results from the issuances across two jurisdictions showed that deployment of SṢ can resolve contractual ambiguities arising from Sharīʿah interpretations, jurisdictional policies and legal regime issues, which affect Ṣukūk origination and issuances especially on the right of investors in the event of Ṣukūk defaults. Although SṢ is automated, the third party’s presence is not eliminated as the blockchain platform still relies on the validators who are usually blockchain developers functioning as a third party in the Ṣukūk chain.

The study relies on doctrinal literature to explain the features and requirements of SṢ. The empirical approach is limited to interview data based on local SṢ issuances. Future studies need to explore regulators’ role and global standards in cross-border issuance of SṢ with multiple jurisdictions/laws.

The paper concludes that the offering of SṢ using local currency has been successful in the two issuances because of the facilitative regulatory environment. However, addressing Ṣukūk’s challenges in cross-border offerings would require guidance from international standard-setters such as the Accounting and Auditing Organization for Islamic Financial Institutions and the Islamic Financial Services Board.

This study is an advanced application of smart contracts to alleviate the related Ṣukūk challenges in the Islamic capital market.

The research identifies the predictors of Islamic mobile banking (IMB) smart services adoption and usage in Jordan.

Based on the Unified Theory of the Acceptance and Use of Technology (UTAUT) and the Unified Theory of the Acceptance and Use of Technology 2 (UTAUT2), an extended and modified model that encompasses perceived trust was developed. The sample comprised 358 customers from Islamic banks (IBs) in Jordan, and structural equation modelling was applied to examine data drawn from the sample.

The research framework presented 0.728% of the behavioural intention variance and 0.455% of the use behaviour. Results discovered that performance expectancy, perceived trust and hedonic motivation have significant relations with behavioural intention. The finding that effort expectancy has an insignificant effect and that social influence has a significant negative influence on behavioural intention was unexpected.

The research has successfully verified the effect of performance expectancy, perceived trust and hedonic motivation on the customer's intention to use IMB smart services. However, the research data findings are based on the cross-sectional design.

The outcomes hold implications for marketing strategy makers who are responsible for promoting IMB smart services in IBs.

This research presents a deeper insight into IMB adoption and use. The research employed UTAUT and UTAUT2 as the baseline model and incorporates perceived trust to estimate behavioural intention. To the best of the authors' knowledge, this could be the first inquiry that examines IMB smart services adoption and use in Jordan.

The purpose of this paper is to predict the daily accuracy improvement for the Jakarta Islamic Index (JKII) prices using deep learning (DL) with small and big data of symmetric volatility information.

This paper uses the nonlinear autoregressive exogenous (NARX) neural network as the optimal DL approach for predicting daily accuracy improvement through small and big data of symmetric volatility information of the JKII based on the criteria of the highest accuracy score of testing and training. To train the neural network, this paper employs the three DL techniques, namely Levenberg–Marquardt (LM), Bayesian regularization (BR) and scaled conjugate gradient (SCG).

The experimental results show that the optimal DL technique for predicting daily accuracy improvement of the JKII prices is the LM training algorithm based on using small data which provide superior prediction accuracy to big data of symmetric volatility information. The LM technique develops the optimal network solution for the prediction process with 24 neurons in the hidden layer across a delay parameter equal to 20, which affords the best predicting accuracy based on the criteria of mean squared error (MSE) and correlation coefficient.

This research would fill a literature gap by offering new operative techniques of DL to predict daily accuracy improvement and reduce the trading risk for the JKII prices based on symmetric volatility information.

This research is the first that predicts the daily accuracy improvement for JKII prices using DL with symmetric volatility information.

The purpose of this study is to understand and analyze the key topics on which scholars have engaged in relation to crowdfunding and its starring role in the Gulf Cooperation Council (GCC) countries from an Islamic perspective. A Structured Literature Review (SLR) is used in this study to assess how scholars carried out their studies in order to better understand future research directions.

The study adopted a SLR methodology and considered 89 peer-reviewed studies published between 1981 and 2021 in GCC countries.

The study identified the starring role of crowdfunding from the Islamic perspective, its role in economic development and its role as a source of finance for new business startups in GCC countries.

Because the research was conducted by a single person, his subjective interpretation might have an impact on the results. Furthermore, only journal papers limited to GCC and published between 1981 and 2021 were examined.

Countries in GCC might recognize the starring role of crowdfunding for their SMEs and economic development.

The authors draw avenues for future research by considering the starring role of crowdfunding using SLR from the Islamic perspective. This helps future researchers to identify the starring role of crowdfunding to contextualize in GCC countries.

The potential growth in cryptocurrencies has raised serious ethical and religious issues leading to a new investment rethinking. This paper aims to identify the influence of religiosity on cryptocurrency acceptance through an extended technology acceptance model (TAM) model.

In the first phase, this research develops a conceptual model that extends the theory of the TAM by integrating the religiosity component. In the second phase, the proposed model is tested using search volume queries in daily frequencies from 01/01/2018 to 31/12/2022 and structural equation modeling (SEM).

The empirical results demonstrate a significant positive effect of religiosity on the intention to use cryptocurrency, the users' perceived usefulness (PU) and ease of use (PEOU). Besides, the authors note that PEOU positively influences the intention. Furthermore, religiosity indirectly affects the intention through the PEOU and positively impacts the intention through the PU. In the same way, PEOU has a considerable indirect effect on the intention through PU.

This study has practical and theoretical contributions by providing insights into the cryptocurrency acceptance factors. In other words, it contributes to the literature by extending TAM models. Practically, it helps managers determine factors affecting the intention to use cryptocurrencies. Therefore, they can adjust their industry according to the suitable characteristics for creating successful projects.

Identifying the effect of religiosity on cryptocurrency users' choices and decisions has a social added value as it provides an understanding of the evolution of psychological variants.

The findings emphasize the importance of integrating big data to analyze users' attitudes. Besides, most studies on cryptocurrency acceptance are investigated based on one kind of religion, such as Christianity or Islam. Nevertheless, this paper integrates the effect of five types of faith on the users' intentions.

This study aims to explore the factors that determine the perceived benefits and the perceived risks of financial technology (fintech) and to evaluate the influence of perceived benefits, perceived risks and small and medium-sized enterprises’ (SMEs') trust to continue using fintech.

This study involves SMEs in Indonesia. Non-probability with a convenience sampling technique was used in this study.

Convenience and economic benefits can explain the perceived benefits. Operational risk is stated as a risk factor felt by the respondents. Furthermore, the perceived benefits have a positive effect and the perceived risks show a negative effect on trust. At the same time, the individuals’ intention to continue using fintech is determined by trust.

Based on the theory of reasoned action (TRA), various benefits and risks of using fintech are used to build the construction of perceived benefits and perceived risk in building trust that will determine decision to continue using fintech.

This research can provide advice to managers to develop efficient payment systems, lower payment fee and error-free transactions. In addition, the fintech management needs to understand the risks related to operational risks that are a challenge for the users to decide to use fintech so that a reliable mechanism for using fintech can be developed. Furthermore, it will be useful for fintech developing companies as a reference in knowing the factors that influence users in continuing to use fintech, this allows fintech developing companies in Indonesia will be even more developed and accelerate the achievement of the Sustainable Development Goals.

To the best of the authors’ knowledge, research on the factors that affect the trust of SMEs in adopting fintech has not been conducted. This study can be advantageous for fintech service companies and organizers in developing fintech strategies in terms of users who are involved in SMEs which is the population in Indonesia is enormous and has a significant role in the development of the country.