Enterprise’s internal control for knowledge discovery in a big data environment by an integrated hybrid model

Chen, Fu-Hsiang; Hsu, Ming-Fu; Hu, Kuang-Hua

doi:10.1007/s10799-021-00342-8

Cited by 11 publications

(9 citation statements)

References 59 publications

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“…The limited number of publications may initiate debate on the relevance of the research interest in using AI in IAF. This review also found that 40% of sampled studies proposed new models to use AI in the IAF, and they investigated the adoption and use of AI in the IAF (Chen et al, 2021;Zhang et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

“…In addition, 40% of the sampled studies proposed new models to use AI in the IAF. Fortunately, these studies addressed the topic by investigating the adoption and use of AI in the IAF (Chen et al, 2021;Korol et al, 2022). Other authors also offered new insights on the use of AI in the IAF by pursuing to resolve the complexity of AI use holistically.…”

Section: Resultsmentioning

confidence: 99%

“…Methodologically, researchers may undertake comprehensive studies on how the use of AI in the IAF is conceptualized and may introduce new models for its measurement and application. In this context, this review finds that many researchers (Chen et al, 2021;Jans & Hosseinpour, 2019;Xavier et al, 2022;Westland, 2020;Zhou, 2021;Korol et al, 2022) tried to study the topic by introducing new models. The efforts of those researchers encouraged other scholars to contribute new insights into the theoretical frameworks in the field.…”

Section: Resultsmentioning

confidence: 99%

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Artificial intelligence and the future of the internal audit function

Wassie,

Lakatos

2024

Humanit Soc Sci Commun

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Artificial intelligence (AI) can support the company’s internal audit function (IAF) by delivering substantial strategic oversight, minimizing manual procedures, and making possible additional value-added auditing service. Currently, there are research gaps in the literature, such as limited studies on the topic, low AI adoption rates in the IAF across different countries and regions, and a shortage of comprehensive frameworks for effectively using AI in the IAF. Hence, this review work aims to fill the research gap by offering an outline of research avenues on the topic in the literature and suggesting a new compressive framework for the effective use of AI in the IAF. This paper undertakes a systematic literature review (SLR) approach and aspires to highlight the state of research on the use of AI in the IAF, to deliver insight for scholars and industry experts on the issue, and to reveal the implications for IAF of the new AI technology. Moreover, to quickly make artificial intelligence work in internal audit functions, the CACS framework was recommended with attributes such as commitment, access, capability, and skills development (CACS). This work provides significant contributions for guiding future research directions and the development of theoretical foundations for the IAF field. On a practical level, the work will help internal auditors to assess and understand the potential advantages and risks of implementing AI in their organization’s IAF. For regulators, this review should prove useful for updating regulations on internal auditing in the context of using advanced technology such as AI and for ensuring the compliance of internal auditing practices to the evolving technology. Organizations can also benefit from this review to decide whether AI investments in their IAF are justified. This review made an initial extensive SLR on AI use in the IAF as a basis for developing new research avenues in auditing and accounting.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Artificial intelligence and the future of the internal audit function

Wassie,

Lakatos

2024

Humanit Soc Sci Commun

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“…The world is facing the coronavirus pandemic (COVID-19), which is the most serious global epidemic in decades, and it provides the business world with an opportunity to try out new digital techniques, therefore, many organizations and institutions have used a variety of algorithms in conjunction with other information and communication technologies (ICTs) to track infectious party interactions, assess risk, and make governance decisions (Liu,2021). Furthermore, in recent years, the rapid development and advancement of information technology (IT) have amplified ubiquitous data collection at an unprecedented rate (Chen, Hsu, & Hu, 2021). Although the use of big data has brought many benefits, it has also brought with it a slew of new obstacles and concerns, particularly in today's extremely volatile environment (Chen, Hsu, & Hu, 2021).…”

Section: -Introductionmentioning

confidence: 99%

“…Furthermore, in recent years, the rapid development and advancement of information technology (IT) have amplified ubiquitous data collection at an unprecedented rate (Chen, Hsu, & Hu, 2021). Although the use of big data has brought many benefits, it has also brought with it a slew of new obstacles and concerns, particularly in today's extremely volatile environment (Chen, Hsu, & Hu, 2021). Thus, enterprise risk management (ERM) is also required to improve managers' and boards of directors' abilities to manage risk and monitor corporate risks (Beasley et al, 2005) and it is important to enhance data and information protection.…”

Section: -Introductionmentioning

confidence: 99%