The Mediating Role of Control Risk in the Relationship between Technological Factors and AI-Based Predictive Analytics Adoption: Evidence from Audit Firms in the US

Rawashdeh, Awni; Bakhit, Mashael; Al-Okdeh, Saleh

doi:10.1109/icbats57792.2023.10111182

Cited by 5 publications

(3 citation statements)

References 38 publications

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“…For instance, a study by Rawashdeh, Bakhit, and Al-Okdeh found that control risk plays a mediating role in the adoption of AI-based predictive analysis in professional audits (Crucean & Hategan, 2023). Additionally, Alsaleem and Husin's study demonstrated that the COBIT 5 framework, which focuses on IT governance, can significantly affect audit risk (Awni et al, 2023). Therefore, it is evident that the role of infrastructure, including information technology, cannot be overlooked when considering the implementation of riskbased audit (Enas & Norhayati, 2023).…”

Section: H3: There Is No Impact Of the Experience And Efficiency Of T...mentioning

confidence: 99%

“…As a result, numerous studies have been conducted to evaluate the impact of risk-based audit practices on the audit process and quality (Lumidi & Gordon, 2022). One such study focused on the financial performance of registered fruit processing firms in Thika Municipality, Kenya, assessing how the incorporation of BRA influenced their operations (Awni et al, 2023). The contemporary risk-oriented audit model requires auditors to identify, evaluate, and address risks by gaining a deep understanding of entities and their environment.…”

Section: Introductionmentioning

confidence: 99%

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The Effect of the Characteristics of the Audit Firm and Client on the Application of the Business Risk Audit Approach

Hobaishi,

Sharabi,

Mehgani

et al. 2024

EJAAFR

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The purpose of this study is to identify the impact of certain fundamental characteristics of audit firms and their clients on the application of the business risk audit approach in Yemen, as well as to identify the responses implemented by these firms and companies to these characteristics. The study uses a descriptive-analytical approach, where the data collected through the questionnaire are described and analyzed using appropriate statistical methods. The study sample included 60 auditors from 42 audit firms and 8 individual offices, with a focus on larger offices and those associated with international audit offices, as they are more likely to apply the business risk-based audit approach. Data was sourced from the Ministry of Industry and Trade’s publications on licensed audit offices. Out of 50 electronic and 10 paper questionnaires distributed, 38 responses were received, representing a response rate of 63.33%. The results showed that the characteristics related to the audit firm have a varying impact on the application of the business risk audit approach and that the specialization of the audit firm in the client's business is the most influential factor in this regard. The results also showed that the characteristics related to audit clients do not affect the application of the business risk audit approach, indicating the existence of other factors that may affect this approach. This study is one of the few studies that address the application of the business risk audit approach in the Yemeni context, highlighting the factors affecting this application and its challenges. The study also provides some recommendations to improve audit quality and deal with business risks.

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Section: H3: There Is No Impact Of the Experience And Efficiency Of T...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Effect of the Characteristics of the Audit Firm and Client on the Application of the Business Risk Audit Approach

Hobaishi,

Sharabi,

Mehgani

et al. 2024

EJAAFR

View full text Add to dashboard Cite

show abstract

“…AI also makes financial reporting easier through standardised and accurate reports procedures that ensure adherence to accounting laws and regulations and decreases the effort of manual reporting activities while improving financial statement reliability [24,25]. AI's predictive powers play an important role in forecasting and budgeting and empower firms to generate realistic financial estimates and effectively plan for the future [26,27]. In addition, AI also improves the audit process by automating the process of data verification and validation, resulting in more effective and correct audits [28].…”

Section: Artificial Intelligence In Accountingmentioning

confidence: 99%

Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals

Peng,

Ahmad,

Ahmad

et al. 2023

Sustainability

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Artificial intelligence (AI) is emerging as a disruptive force in many sectors, and using it in accounting isn’t an exception. This conceptual paper explores the role of AI in accounting, for financial reporting, auditing, and financial decision-making and provides accountants an opportunity to improve efficiency, accuracy, and decision support. AI, through data analytics, algorithms, automation, etc. has an important role in the field of accounting with some challenges also. The study also highlights the implications of AI in accounting for achieving several Sustainable Development Goals (SDGs). Firstly, AI-driven automation can restructure financial activities, reducing time and resource consumption, and contributing to SDG 8 (Decent Work and Economic Growth). In addition, by providing real-time data analysis, AI empowers businesses to make sustainable decisions based on real-time data, aligning with SDG 9 (Industry, Innovation, and Infrastructure) and SDG-16 (Peace, Justice, and Strong Institutions) and SDG 17 (Partnerships for the Goals). The paper has implications for policy makers, technology developers, financial institutions and business firms.

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Knowledge Management-Based Artificial Intelligence (AI) Adoption in Construction SMEs: The Moderating Role of Knowledge Integration

Khan,

Mehmood,

Soomro

2024

IEEE Trans. Eng. Manage.

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The Mediating Role of Control Risk in the Relationship between Technological Factors and AI-Based Predictive Analytics Adoption: Evidence from Audit Firms in the US

Cited by 5 publications

References 38 publications

The Effect of the Characteristics of the Audit Firm and Client on the Application of the Business Risk Audit Approach

The Effect of the Characteristics of the Audit Firm and Client on the Application of the Business Risk Audit Approach

Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals

Knowledge Management-Based Artificial Intelligence (AI) Adoption in Construction SMEs: The Moderating Role of Knowledge Integration

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