Continuous Auditing and Risk-Based Audit Planning

Eulerich, Marc; Georgi, Christine; Schmidt, Alexander

doi:10.2139/ssrn.3330570

Cited by 5 publications

(5 citation statements)

References 48 publications

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“…As generative AI becomes more prevalent in society, expectations have risen substantially. Several articles highlight that emerging technologies such as generative AI often experience stages of initial enthusiasm, followed by disappointment, and nally, practical application, cautioning against overestimating their immediate impact (Eulerich et al, 2023).…”

Section: Practical Implicationsmentioning

confidence: 99%

Performance of Artificial Intelligence: Does artificial intelligence dream of electric sheep

Ioku,

Kondo,

Watanabe

2024

Preprint

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This study investigates the performance of generative artificial intelligence (AI) in evaluating the acceptance of generative AI technologies within higher education guidelines, reflecting on the implications for educational policy and practice. Drawing on a dataset of guidelines from top-ranked universities, we compared generative AI evaluations with human evaluations, focusing on acceptance, performance expectancy, facilitating conditions, and perceived risk. Our study revealed a strong positive correlation between ChatGPT-rated and human-rated acceptance of generative AI, suggesting that generative AI can accurately reflect human judgment in this context. Further, we found positive associations between ChatGPT-rated acceptance and performance expectancy and facilitating conditions, while a negative correlation with perceived risk. These results validate generative AI evaluation, which also extends the application of the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology framework from individual to institutional perspectives.

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Section: Practical Implicationsmentioning

confidence: 99%

Performance of Artificial Intelligence: Does artificial intelligence dream of electric sheep

Ioku,

Kondo,

Watanabe

2024

Preprint

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“…Este cenário cria uma demanda por competências em análise de dados, consultoria estratégica, gerando necessidade dos contadores se adaptarem a um ambiente tecnológico constante, implicando uma transformação na educação e formação contínua, onde a compreensão da tecnologia se torna tão importante quanto o conhecimento contábil tradicional. Eulerich et al (2023) examinaram a capacidade do modelo de IA GPT-4 em obter aprovação nos principais exames de certificação contábil. O modelo atingiu uma taxa de acerto de 85,1% em todas as seções, garantindo a aprovação.…”

Section: Implicações Da Inteligencia Artificial Na Profissão Contábilunclassified

Historical evolution of accounting and its implications with the Artificial Intelligence revolution

Carvalho,

Oliveira,

Sá

2024

CLIUM

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Accounting has evolved significantly over the centuries, from its rudimentary origins to the adoption of advanced technologies such as artificial intelligence (AI). This article explores this historical trajectory and examines how new technologies are transforming accounting practices. Initially focused on fiscal compliance and asset control, accounting has adapted to meet the complex demands of modern economies. The methodology of this study was based on a bibliographic review, utilizing scientific articles and theses. The results indicate that AI increases the accuracy and efficiency of accounting processes by automating repetitive tasks and enhancing data analysis, allowing accountants to take on more strategic roles. However, AI also presents challenges in terms of data privacy and security, highlighting the importance of an ethical approach and continuous professional development.

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“…This study discusses fraud models used by auditors in carrying out risk preferences (Eulerich, Georgi, & Schmidt, 2019). Simon et al, (2018), stated that fraud models have benefits in conducting fraud risk assessment.…”

Section: Risk Preferencesmentioning

confidence: 99%

“…Data presentation which is not in accordance with the actual conditions in the financial statements can cause the shown information is irrelevant to be used as material for decision making. A financial statement that has been manipulated will result a great loss for investors and they will not get capital return for their investments (Eulerich, Georgi, & Schmidt, 2019). Auditors' negligence has prompted the American Institute Certified Public Accountant (AICPA) to publish a standard for auditing.…”

Section: Introductionmentioning

confidence: 99%

Fraud Risk Assessment: Experimental Study on the Alternative Fraud Model and Auditor Risk Preferences

Artati

Noviyanti²

2020

JRAK

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Fraud risk assessment is an important part of the audit process and one of the toughest challenges faced by auditors. In considering fraud risk assessment, fraud models and risk preferences can influence auditor’s decisions. This study uses a 2x2 between-subject experimental design with a total of 110 auditors of public accountant firms in Central Java as participants and produces 60 data ready for processing. Participants were formed into 4 groups with different treatments which the treatments consist of Diamond Fraud model with high and low risk preferences and Pentagon Fraud model with high and low risk preferences. The results show that the use of Pentagon Fraud model will result a more conservative fraud risk assessment. When auditors dare to take high risk action, the resulting fraud risk assessment will be low. In addition, the fraud model and risk preference variables show a significant influence on the performing of fraud risk assessment. There is an interaction between fraud models and auditors’ risk preferences in the performance of fraud risk assessment.

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Continuous Auditing and Risk-Based Audit Planning

Cited by 5 publications

References 48 publications

Performance of Artificial Intelligence: Does artificial intelligence dream of electric sheep

Performance of Artificial Intelligence: Does artificial intelligence dream of electric sheep

Historical evolution of accounting and its implications with the Artificial Intelligence revolution

Fraud Risk Assessment: Experimental Study on the Alternative Fraud Model and Auditor Risk Preferences

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