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This paper aims to examine the antecedents of the Automated VAT Solution (AVS) and its eventual consequence on value-added tax (VAT) compliance costs among the small and medium enterprises (SMEs) in Gulf Cooperation Countries (GCC), with the United Arab Emirates (UAE) as context.

A quantitative research design was deployed through a survey of 576 SMEs in the UAE. The data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The findings revealed that technological factors (IT complexity and IT competency) and organizational factors (management support and size of SME) significantly influence AVS adoption. However, only consumer pressure was found to be significant among the environmental factors, and AVS adoption was found to have a significant negative effect on the VAT compliance cost.

A lower coefficient of determination for the effect of AVS adoption on VAT compliance cost meant that there may be other accounting-related technologies that improve operational efficiency and process automation and, in the long run, lower the cost of VAT compliance. These technologies should be included in future studies.

The findings imply that the adoption of AVS among SMEs is highly desirable, as it reduces VAT compliance costs. Increased regulatory pressure by the UAE’s policymakers is also desirable to accelerate AVS adoption for enhanced cost reduction and revenue maximization from the perspectives of both the government and SMEs.

To the best of the authors’ knowledge, this study could be the first to expand the Technology-Organization-Environmental (TOE) Framework through the integration of determinants of AVS adoption and VAT compliance costs among SMEs in GCC countries.

This article aims to extend the Unified Theory of Acceptance and Use of Technology (UTAUT) model to understand the factors affecting the usage behavior of Blockchain from accountants' and auditors’ perspectives and its impact on their performance.

A quantitative research approach employing a web-based questionnaire was applied, and the empirical data were gathered from 329 potential and current users of Blockchain in the accounting and auditing profession in Jordan. The analytical model was based on structural equation modeling (SEM) using AMOS 25.0.

The experimental findings of the structural path confirmed that performance expectancy (PE), social influence (SI), Blockchain transparency (BT) and Blockchain efficiency (BE) were significantly affecting individuals’ behavioral intention (BI) toward the use of Blockchain-based systems and helped to explain (0.67) of its variance. Also, BE has a positive significant impact on PE. Whereas, in contrast to what is anticipated, the influence of effort expectancy (EE) on BI was not supported. Additionally, users’ intentions were found to affect the actual usage (AU) behavior and helped to explain (0.69) of its variance. The outcome variables proposed in this study: knowledge acquisition (KACQ) and user satisfaction (USAT) were significantly influenced by the AU of Blockchain technology.

This study outlines practical implications for government, policymakers, business leaders and Blockchain service providers aiming to exploit the advantages of Blockchain technology (BCT) in the accounting and auditing context.

To the best of the authors’ knowledge, this article is one of the few studies that offer an evidence-based perspective to the discussions on the effect of disruptive and automated information and communication technologies (ICTs), on the accounting and auditing profession. It applies an innovative approach to analysis through the integration of UTAUT, contextual factors: BT and BE, besides two outcome factors: KACQ and USAT within its theoretical model. This study extends and complements the academic literature on information technology/information systems acceptance and use by providing novel insights into accountants' and auditors’ views.