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The advent of technology has propelled audit firms to incorporate AI-based audit services, bringing the relationship between audit clients and firms into sharper focus. Nonetheless, the understanding of how AI-based audit services affect this relationship remains sparse. This study strives to probe how an audit client's satisfaction with AI-based audit services influences their trust in audit firms. Identifying the variables affecting this trust, the research aspires to gain a deeper comprehension of the implications of AI-based audit services on the auditor-client relationship, ultimately aiming to boost client satisfaction and cultivate trust.

A conceptual framework has been devised, grounded in the client-company relationship model, to delineate the relationship between perceived quality, perceived value, attitude and satisfaction with AI-based audit services and their subsequent impact on trust in audit firms. The research entailed an empirical investigation employing Facebook ads, gathering 288 valid responses for evaluation. The structural equation method, utilized in conjunction with SPSS and Amos statistical applications, verified the reliability and overarching structure of the scales employed to measure these elements. A hybrid multi-analytical technique of structural equation modeling and artificial neural networks (SEM-ANN) was deployed to empirically validate the collated data.

The research unveiled a significant and positive relationship between perceived value and client satisfaction, trust and attitude towards AI-based audit services, along with the link between perceived quality and client satisfaction. The findings suggest that a favorable attitude and perceived quality of AI-based audit services could enhance satisfaction, subsequently augmenting perceived value and client trust. By focusing on the delivery of superior-quality services that fulfill clients' value expectations, firms may amplify client satisfaction and trust.

Further inquiries are required to appraise the influence of advanced technology adoption within audit firms on client trust-building mechanisms. Moreover, an understanding of why the impact of perceived quality on perceived value proves ineffectual in the context of audit client trust-building warrants further exploration. In interpreting the findings of this study, one should consider the inherent limitations of the empirical analysis, inclusive of the utilization of Facebook ads as a data-gathering tool.

The research yielded insightful theoretical and practical implications that can bolster audit clients' trust in audit firms amid technological advancements within the audit landscape. The results imply that audit firms should contemplate implementing trust-building mechanisms by creating value and influencing clients' stance towards AI-based audit services to establish trust, particularly when vying with competing firms. As technological evolutions impinge on trustworthiness, audit firms must prioritize clients' perceived value and satisfaction.

To the researcher's best knowledge, no previous study has scrutinized the impact of satisfaction with AI-based audit services on cultivating audit client trust in audit firms, in contrast to past research that has focused on the auditors' trust in the audit client. To bridge these gaps, this study employs a comprehensive and integrative theoretical model.

This study aims to examine the role of blockchain technology (BCT) in trust in financial reporting (TFR) and the use of smart contracts (USC). It aims to ascertain the mediating role of USC in the relationship between BCT and TFR, thereby contributing to the limited empirical literature in this domain.

Based on a sample of the accountants’ familiarity with BCT, a structural equation model was constructed and analyzed using AMOS 24. The model proposes and tests relationships between BCT, USC and TFR.

The study highlights BCT’s significant positive influence on TFR, with USC mediating this effect. It provides empirical evidence that supports the transformative potential of BCT and USC in enhancing TFR.

These findings have significant implications for practitioners, regulatory bodies and policymakers. By highlighting the effectiveness of BCT and USC in fostering TFR, the study makes one aware of strategies to mitigate financial malpractices. It promotes the adoption of BCT in accounting practices.

This study addresses a gap in the literature by investigating the complex interplay of BCT, USC and TFR. It offers a unique perspective by exploring the mediating role of USC, thereby enhancing our understanding of the mechanisms through which BCT can foster TFR.

The advent of artificial intelligence (AI) in the accounting landscape marks a significant shift, promising gains in efficiency and accuracy but also eliciting concerns about job displacement (JD) and broader socio-economic implications. This study aims to provide an in-depth understanding of how AI’s integration in accounting contributes to JD, reshapes decision-making processes and reverberates across economic and social dimensions. It also offers evidence-based policy recommendations to mitigate adverse outcomes.

Leveraging a cross-sectional survey disseminated through Facebook, this research used snowball sampling to target a diverse cohort of accounting professionals. The collected data were subjected to meticulous analysis through descriptive and regression models, facilitated by SmartPLS 4 software.

The analysis revealed a significant correlation between AI’s increasing role in accounting and a heightened rate of JD. This study found that this displacement is not isolated; it has tangible repercussions on decision-making paradigms, economic well-being, professional work dynamics and social structures. These insights corroborate existing frameworks, including, but not limited to, theories of technological unemployment and behavioural adjustments.

Although providing valuable insights, this study acknowledges limitations such as the restricted sample size, the cross-sectional nature of the survey and the inherent biases of self-reported data. Future research could aim to extend these initial findings by adopting a longitudinal approach and potentially integrating external data sources.

As AI technology becomes increasingly ingrained in accounting practices, there is an urgent need for coordinated action among stakeholders. Policy recommendations include focused efforts on talent retention, investment in upskilling programs and the establishment of support mechanisms for those adversely affected by AI adoption.

By synthesising a range of theoretical perspectives, this study offers a comprehensive exploration of AI’s multi-dimensional impacts on the accounting profession. It stands out for its nuanced examination of JD and its economic and social implications, thereby contributing to both academic discourse and policy formulation. This work serves as an urgent call to action, highlighting the need for strategies that both exploit AI’s potential benefits and protect the workforce from its disruptive impact.

The purpose of this paper is to investigate the Jordanian accountant’s behavioral intention of using the Internet Banking services to focus on the perceptions of the users in terms of usefulness and ease of use of Internet Banking, besides the privacy of using this dynamic technology for meeting their banking requirements.

The questionnaire on Internet Banking was specifically designed and used to survey a randomly selected sample of Jordanian accountants from the web site of the Jordan Association of Certified Public Accountants and 298 usable responses were obtained. The data were analyzed using SPSS and AMOS (structural equation modeling).

The results of this analysis support the extended Technology Acceptance Model (TAM) as well as confirm its robustness for predicting the behavioral intention of the adoption of Internet Banking by the Jordanian chartered accountants.

During a period when quick changes are taking place, new technologies are entering the market every day, resulting in a cross-sectional study which cannot be generalized perfectly.

The findings offered useful information for the bank management in order to formulate marketing strategies for Internet Banking.

This study has contributed to the literature available as it formulated and validated an extended TAM for predicting the adoption of Internet Banking.