Pub Date : 2022-12-01DOI: 10.53106/256299802022120401003
Shaoyu Liu Shaoyu Liu
We are living in an age of transformation. Audit firms are exploring new technologies to improve effectiveness and efficiency, thus improving audit quality. Among many technologies, Robotic Process Automation (RPA) is one of the most often mentioned technology because of its adaptability to audit procedures. A bot can perform many tasks a human can do on a computer. There are some characteristics to help a practitioner decide whether a job is feasible for RPA to accomplish. A repetitive task is a good candidate for RPA to automate. RPA can speed up the execution of those processes to increase efficiency. RPA works best for the rulebased, standardized task. RPA cannot self-learn to respond to various inputs. It can only follow the way a designer configured it strictly. Structured data can help reduce errors and debug efforts.
{"title":"Robotic Process Automation (RPA) in Auditing: A Commentary","authors":"Shaoyu Liu Shaoyu Liu","doi":"10.53106/256299802022120401003","DOIUrl":"https://doi.org/10.53106/256299802022120401003","url":null,"abstract":"\u0000 We are living in an age of transformation. Audit firms are exploring new technologies to improve effectiveness and efficiency, thus improving audit quality. Among many technologies, Robotic Process Automation (RPA) is one of the most often mentioned technology because of its adaptability to audit procedures. A bot can perform many tasks a human can do on a computer. There are some characteristics to help a practitioner decide whether a job is feasible for RPA to accomplish. A repetitive task is a good candidate for RPA to automate. RPA can speed up the execution of those processes to increase efficiency. RPA works best for the rulebased, standardized task. RPA cannot self-learn to respond to various inputs. It can only follow the way a designer configured it strictly. Structured data can help reduce errors and debug efforts.\u0000 \u0000","PeriodicalId":396733,"journal":{"name":"International Journal of Computer Auditing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129768928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.53106/256299802022120401001
Tawei Wang Tawei Wang
Artificial intelligence (AI) has once again attracted the public’s attention in the past decade. Riding on the wave of big data revolution, the development of AI is much more promising than that 50 years ago. One example is ChatGPT (https://openai.com/blog/chatgpt/), which has quickly become a hot topic in the past several months and has brought back all kinds of discussion about AI and decision making. In this editorial, I would like to highlight several perspectives that may help us rethink about the implications of using AI for decision making especially for audit professionals.
{"title":"Responsible Use of Artificial Intelligen","authors":"Tawei Wang Tawei Wang","doi":"10.53106/256299802022120401001","DOIUrl":"https://doi.org/10.53106/256299802022120401001","url":null,"abstract":"\u0000 Artificial intelligence (AI) has once again attracted the public’s attention in the past decade. Riding on the wave of big data revolution, the development of AI is much more promising than that 50 years ago. One example is ChatGPT (https://openai.com/blog/chatgpt/), which has quickly become a hot topic in the past several months and has brought back all kinds of discussion about AI and decision making. In this editorial, I would like to highlight several perspectives that may help us rethink about the implications of using AI for decision making especially for audit professionals.\u0000 \u0000","PeriodicalId":396733,"journal":{"name":"International Journal of Computer Auditing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.53106/256299802022120401004
Sherry Huang Sherry Huang, Ezz Hatab Sherry Huang
The paper examines the effectiveness of Environmental, Social, and Governance (ESG) audit training courses offered by the International Computer Auditing Education Association (ICAEA) in Taiwan and the Middle East. The training courses are tailored to meet the growing demand for professionals who possess ESG audit skills. In Taiwan, the course focuses on using artificial intelligence and data analytic technology to audit ESG data. In the Middle East, ESG education and training are gaining momentum, and regulators are introducing ESG standards for all businesses. The paper provides an overview of the current ESG landscape in the region and discusses the challenges and opportunities for companies to demonstrate their commitment to sustainability and ESG principles. Overall, the paper highlights the growing importance of ESG audits and the need for continuous education and training to improve sustainability performance.
{"title":"ESG Audit Training Perspective in Asia","authors":"Sherry Huang Sherry Huang, Ezz Hatab Sherry Huang","doi":"10.53106/256299802022120401004","DOIUrl":"https://doi.org/10.53106/256299802022120401004","url":null,"abstract":"\u0000 The paper examines the effectiveness of Environmental, Social, and Governance (ESG) audit training courses offered by the International Computer Auditing Education Association (ICAEA) in Taiwan and the Middle East. The training courses are tailored to meet the growing demand for professionals who possess ESG audit skills. In Taiwan, the course focuses on using artificial intelligence and data analytic technology to audit ESG data. In the Middle East, ESG education and training are gaining momentum, and regulators are introducing ESG standards for all businesses. The paper provides an overview of the current ESG landscape in the region and discusses the challenges and opportunities for companies to demonstrate their commitment to sustainability and ESG principles. Overall, the paper highlights the growing importance of ESG audits and the need for continuous education and training to improve sustainability performance.\u0000 \u0000","PeriodicalId":396733,"journal":{"name":"International Journal of Computer Auditing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126881586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The auditing industry will be strongly affected by emerging technology, as many of the auditing processes can be carried out automatically. Responding to this challenge, students in auditing majors must be trained in applying information technology to their work. In this teaching case, students will learn to analyze a large dataset of simulated SMEs survey to identify the tax risk of small and medium enterprises (SMEs), and to use technology (i.e CAATs, Computer Assisted Audit Techniques) to figure out the issues. Learning through a specific situation helps students to not only understand the process of applying technology to auditing, but also to develop analytical skills to assess what technology can and can-not do. These essential skills are needed for long-term career growth.
{"title":"Using Audit Command Language to Predict Tax Litigation Risk of Vietnamese SME Companies: A Teaching Case for Tax and AIS Course","authors":"Shi-Ming Huang Shi-Ming Huang, Huyen Thi Thanh Phan Shi-Ming Huang","doi":"10.53106/256299802022120401002","DOIUrl":"https://doi.org/10.53106/256299802022120401002","url":null,"abstract":"\u0000 The auditing industry will be strongly affected by emerging technology, as many of the auditing processes can be carried out automatically. Responding to this challenge, students in auditing majors must be trained in applying information technology to their work. In this teaching case, students will learn to analyze a large dataset of simulated SMEs survey to identify the tax risk of small and medium enterprises (SMEs), and to use technology (i.e CAATs, Computer Assisted Audit Techniques) to figure out the issues. Learning through a specific situation helps students to not only understand the process of applying technology to auditing, but also to develop analytical skills to assess what technology can and can-not do. These essential skills are needed for long-term career growth.\u0000 \u0000","PeriodicalId":396733,"journal":{"name":"International Journal of Computer Auditing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121356957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}