A Conceptual Model of Continuous Government Auditing Using Blockchain-Based Smart Contracts

Alotaibi, Eid M.

doi:10.5539/ijbm.v17n11p1

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…The accounting and auditing profession has benefited from rapid technological advancements (AICPA, 2017;Alotaibi, 2023;Araz et al, 2020;Brandtner, 2022;Grover et al, 2018;Hirt et al, 2019;Huang et al, 2022;Kogan et al, 2019;Nasir et al, 2021;Qi & Tao, 2018;Samuel et al, 2017;Schlegel, 2014;Shmueli & Koppius, 2011;Søgaard, 2021;Sun, 2018;Susanto & Meiryani, 2019;Vasarhelyi et al, 2015). These advancements have paved the way for new innovative tools, such as predictive analytics, to be used in the industry (Qi & Tao, 2018).…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment Using Predictive Analytics

Alotaibi¹

2023

J. Professional Business Review

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Purpose: This research paper uses design science methodology to develop and evaluate a predictive analytics model for audit risk assessment. This research therefore contributes to improving the accuracy and efficiency of audit risk assessment through predictive analytics. Theoretical framework: This study involved developing and evaluating a predictive analytics model for audit risk assessment, with it being tested during the audit of a publicly listed Saudi company. Design/methodology/approach: This study adopted the design science research methodology, which is a problem-solving approach that involves the creation of innovative solutions to practical problems. This methodology is particularly relevant for developing and evaluating predictive analytics models for audit risk assessment, because it provides a structured, systematic approach to the problem-solving process. In the context of this research paper, the design science research methodology was used to develop and evaluate a predictive analytics model for audit risk assessment. Findings: The proposed predictive analytics model for audit risk assessment was found to be an effective tool for helping auditors to make informed decisions based on data analysis. The model accurately identifies high-risk factors associated with an organization, provides valuable insights for decision-making, and highlights areas of potential risk that may require further investigation. Research, practical & social implications: Future research could explore several areas related to predictive analytics in audit risk assessment. One important area to investigate would be the impact of using predictive analytics on audit quality. The ethical implications of using predictive analytics in audit risk assessment and the potential biases that could affect a model’s accuracy are also important areas to explore. Originality/value: This paper helps improve our understanding of how predictive analytics can be effectively applied to audit risk assessment and how design science methodology can be used to develop and evaluate predictive analytics models. Furthermore, this study provides insights about the effectiveness of predictive analytics for improving audit risk assessment, thus contributing to the existing literature on the topic.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment Using Predictive Analytics

Alotaibi¹

2023

J. Professional Business Review

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“…The rapid advancement of technology has paved the way for innovations in various industries, including the accounting and audit sectors (Alotaibi, 2023). Over the years, the accounting profession has undergone significant changes due to the rapid evolution of technology.…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of audit software on audit quality: Auditors' perceptions

Alotaibi

Alnesafi

2023

IJAEFA

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The study aimed to examine the impact of audit software on audit quality in Saudi Arabia and explore auditors' opinions on this topic. The research methodology used was a survey research design, which allowed for collecting large amounts of data from a broad range of participants. The findings indicated that audit software positively impacted audit quality, and auditor expertise moderated the relationship between audit software usage and audit quality. The study highlights the importance of auditor training in effectively using audit software, and the results have significant implications for audit practice in Saudi Arabia. The study's practical implications suggest that audit firms should invest in technology, particularly advanced audit software, to enhance audit quality and meet the demands of clients seeking more efficient and effective audit services. As the business environment becomes increasingly complex and dynamic, auditors must keep pace with emerging technologies to deliver high-quality audit services. The results of this study provide valuable insights into the factors that influence the adoption of technology in the audit industry in Saudi Arabia and highlight the importance of integrating technology into audit processes to improve audit quality. However, it should be noted that the study's findings are based on the auditors' subjective perceptions, and future research should use more objective measures to assess audit quality.

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“…The rapid advancement of technology has paved the way for new innovations in various industries, including the accounting and audit sectors (Alotaibi, 2023). In recent years, cloud computing has emerged as a game-changer for businesses, allowing them to operate more efficiently and effectively.…”

Section: Introductionmentioning

confidence: 99%

Cloud computing to audit quality- evidence from the Kingdom of Saudi Arabia

Alotaibi

2023

IJAEFA

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This study investigates how the use of cloud computing systems, compared to on-site ERP systems, affects audit quality. A survey of 430 auditors in Saudi Arabia was conducted to collect data on the impact of cloud computing and on-site ERP systems on audit quality. The collected data was analyzed using statistical techniques to determine the impact of these systems on audit quality. The study found that cloud computing and on-site ERP systems improved audit accuracy, audit process efficiency, report quality, and audit evidence reliability. The results of this study have significant implications for enhancing audit quality. The study suggests that auditors should consider incorporating cloud computing systems to improve the quality of audits while also boosting the efficiency of the audit process. The findings of this study help auditors make informed decisions about using cloud computing systems to improve their audit quality and meet the growing demand for reliable and accurate financial audits. However, the study's limitations include not considering other stakeholders' views and not evaluating the costs of implementing cloud computing systems. Future research can build upon the findings of this study and address its limitations to provide a more comprehensive understanding of the impact of cloud computing systems on audit quality.

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A Conceptual Model of Continuous Government Auditing Using Blockchain-Based Smart Contracts

Cited by 5 publications

References 22 publications

Risk Assessment Using Predictive Analytics

Risk Assessment Using Predictive Analytics

Assessing the impact of audit software on audit quality: Auditors' perceptions

Cloud computing to audit quality- evidence from the Kingdom of Saudi Arabia

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