• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.51-60
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• 2020

The paper examines the characteristics and causes of the expectation gap of audit and assurance services. The paper has conducted three surveys with three target groups. In the first survey, participants are auditors, users of audit reports are subject in the second survey and in the third survey, and students major in auditing are selected. The content of the survey aims to find out the differences in perception of the survey participants on two issues: (i) responsibilities of auditors for detection frauds, errors, protection of the enterprise's assets and financial scandals, and (ii) the role of audit and auditors in making investment decisions and investor's belief. The research carried out survey from March to September 2019 with 165 responds. The collected data was processed by statistical software SPSS, version 23, and Mann-Whitney U test was used to analyze the results of the audit expectation gap between the auditor group and the users of audit report group and between the student group and users of audit report group. The results showed that there exists an expectation gap in the responsibility of auditors for detection of all frauds, errors and protection enterprise's assets. Recommendations include strengthening audit standards, penalizing bad practices and ensuring auditor's independence.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.109-120
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• 2023

With the increasing interest in blockchain technology and its employment in diverse sectors and industries, including: finance, business, voting, industrial and many other medical and educational applications. Recently, the blockchain technology has played significant role in preventing fraud transactions in accounting systems, as the blockchain offers high security measurements, reduces the need for centralized processing, and blocks access to the organization information and system. Therefore, this paper studies, analyses, and investigates the adoption of blockchain technology with accounting systems, through analyzing the results of several research works which have employed the blockchain technology to secure their accounting systems. In addition, we investigate the performance of applying the deep learning and machine learning approaches for the purpose of fraud detection and classification. As a result of this study, the adoption of blockchain technology will enhance the safety and security of accounting systems, through identifying and classifying the possible frauds that may attack the accounting and business organizations.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.257-264
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• 2013

The purpose of this study is to propose plans of accounting transparency enhancement for Korean firms' sustainable growth and moral management. Moral management is not optional but essential strategy under global competitive circumstances. It has been proved that sustainable growth was possible through moral management. The plans of accounting transparency enhancement obtained from this study are as below. The implementation of early childhood education on the role and function of accounting, including contents related accounting ethics in university business curriculum or accounting curriculum, including contents related accounting(management) ethics in various accounting qualification examination, building and utilization of systematic knowledge base on accounting fraud, strengthen supervision for implementation of stable and reliable K-IFRS, improving public ethics through strengthening ethical awareness, devotion of community leaders for the nation and society etc.

• Journal of Industrial Convergence
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• v.19 no.5
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• pp.35-45
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• 2021

The purpose of this study is to analyze the means of accounting fraud in Chinese listed agricultural companies and to suggest methods for the prevention of accounting fraud and follow-up measures. In this study, 21 Chinese agricultural enterprises were investigated and counted by means of accounting fraud. The means of accounting fraud of listed companies related to agriculture mainly consisted of profit inflation, inflating their net assets, the disclosure of accounting information violations, asset inflation for net asset inflation, and the incomplete disclosure for accounting information violations. Among these, income forgery was the most frequent among the 21 companies surveyed as a means of accounting fraud in profit inflation. Through this study, in the field of auditing academically, it is possible to find the motives of fraudulent acts in Chinese agricultural enterprises and to obtain advice to reduce fraudulent acts, and it will be of great help in theoretical research related to accounting frauds.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.851-868
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• 2012

After the financial crisis in 2008, the financial market still seems to be unstable with expanding the insolvency of the financial companies' real estate project financing loan in the aftermath of the lasted real estate recession. Especially after the illegal actions of people's financial institutions disclosed, while increased the anxiety of economic subjects about financial markets and weighted in the confusion of financial markets, the potential risk for the overall national economy is increasing. Thus as economic recession prolongs, the people's financial institutions having a weak profit structure and financing ability commit illegal acts in a variety of ways in order to conceal insolvent assets. Especially it is hard to find the loans of shareholder and the same borrower sharing credit risk in advance because most of them usually use a third-party's name bank account. Therefore, in order to effectively detect the fraud under other's name, it is necessary to analyze by clustering the borrowers high-related to a particular borrower through an analysis of association between the whole borrowers. In this paper, we introduce Analysis Techniques for detecting financial loan frauds in advance through an analysis of association between the whole borrowers by extending SNA(social network analysis) which is being studied by focused on sociology recently to the forensic accounting field of the financial frauds. Also this technique introduced in this pager will be very useful to regulatory authorities or law enforcement agencies at the field inspection or investigation.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.817-825
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• 2020

Over the last few decades, corporate frauds have highlighted the significance of corporate governance in deriving firm performance. By using different sample data, extensive research has examined how corporate governance structure influences firm's profitability, but limited research was undertaken on the banking sector of Pakistan. This research adds to the literature by testing how board structure derives bank's performance by using sample data of 19 banks for the period from 2010 to 2017. In addition, the study analyzes the controlling part of size on the link between board governance and bank performance. Findings reveal that banks having small board size, fewer non-executive directors and minimum activity level perform better. Analysis related to bank size illustrates that board size has value in increasing benefits in large size banks in contrast to small size one, while higher participation by board members enhances performance of small size banks more. The correlation results and findings showed that there existed no multicollinearity issue between independent variables. Board size showed positive correlation with the market variable, while board activity tended to correlated negatively with the market performance. Inverse correlation between board size and independent directors indicated that Pakistani banks with greater board size had fewer independent directors.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.79-95
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• 2012

As credit loan products significantly increase in most financial institutions, the number of fraudulent transactions is also growing rapidly. Therefore, to manage the financial risks successfully, the financial institutions should reinforce the qualifications for a loan and augment the ability to detect a credit loan fraud proactively. In the process of building a classification model to detect credit loan frauds, utility from classification results (i.e., benefits from correct prediction and costs from incorrect prediction) is more important than the accuracy rate of classification. The objective of this paper is to propose a new approach to building a classification model for detecting credit loan fraud based on an individual-level utility. Experimental results show that the model comes up with higher utility than the fraud detection models which do not take into account the individual-level utility concept. Also, it is shown that the individual-level utility computed by the model is more accurate than the mean-level utility computed by other models, in both opportunity utility and cash flow perspectives. We provide diverse views on the experimental results from both perspectives.