Journal Article

Despite the significant growth in Islamic economies and the increasing number of Muslim youths inclining digital services, empirical-based research addressing the adoption of digital Islamic services is still limited. ZakaTech is a new phrase that has recently emerged as a modern term describing novel technologies adopted by zakat institutions; yet, it has been largely neglected in the literature. Therefore, this study aims to provide an integrated model that scrutinizes the determinants of acceptance and use of technology (UTAUT) of ZakaTech, combined with social cognitive theory (SCT), in the midst of the COVID-19 crisis where social distancing is the norm in conducting economic activities. Based on cross-national evidence from two Muslim-majority countries, a total of 1,006 valid responses were collected from zakat payer users in Saudi Arabia and Egypt using a Web-based survey. To validate the research model and draw significant insights, SmartPLS structural equation modeling was used. By analyzing both Saudi and Egyptian samples, the authors found that all UTAUT constructs are statistically significant, except for effort expectancy in Egypt. The effects of self-efficacy and social isolation on ZakaTech adoption are supported across both countries. Trust in technology reduces users' inherent risks and increases their likelihood of adopting ZakaTech services in Saudi Arabia, while this is not the case in Egypt. However, the study revealed that trust in electronic-zakat systems (EZSs) is a vital predictor for mitigating perceived risk among Egyptian users of ZakaTech, but it is not the case in Saudi Arabia. Moreover, significant gender differences were found between males and females in the adoption of such digital services in both countries, particularly regarding self-efficacy, trust in EZSs, social isolation and social influence.

Muslim engagement with cryptocurrencies (CC) raises fundamental questions rooted in religious faith: How should Muslims integrate Islamic Accounting principles like zakat into this new and rapidly evolving financial paradigm? Thus, it is essential to understand CC holders' perceptions thoroughly and whether they are willing to pay zakat using crypto assets. This research aims to explore factors influencing Muslim CC holders' intention to pay zakat on CC, emphasizing financial risk, theory of planned behavior (TPB) constructs and Shariah compliance's moderating role. This attempt uses a quantitative approach through a cross-sectional research design, using purposive sampling to gather data from Muslim CC holders. An extended theory of planned behavior (ETPB) model is applied to comprehensively analyze the key factors influencing intentions to pay zakat on CC. SmartPLS software is used to generate meaningful findings. The study finds that financial risk associated with CC exerted a negative influence on TPB constructs, attitude (ATT), social norms (SN) and perceived behavioral control regarding zakat on CC (PBC). However, ATT and PBC positively shaped holders' intention to pay zakat on CC. Interestingly, Shariah compliance-moderated interactions of TPB constructs on payment intentions were statistically significant. With the rise of CC, a profound transformation is underway in the financial landscape. As this evolution unfolds, it becomes increasingly essential for stakeholders to understand how zakat could fit into such a new and rapidly evolving paradigm. A pioneering effort was made in this study by exploring Muslim CC holders' intentions to fulfill zakat obligations, bridging a significant gap in the literature.