• Journal of Korean Society of Rural Planning
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• v.14 no.2
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• pp.99-110
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• 2008

The purposes of this paper are first, to develop and adapt auditing methodology of rural amenity resource investigation and second, to propose strategic planning of amenity web data base system. Relating with auditing methodology, we make the life cycle of rural amenity resource investigation based on value chain method. we make 8 stage of auditing process and 105 auditing items in details. We adapt these guidelines in real world and then improve developed methodology. Therefore we expect to promote the quality and accuracy of investigation project using these guidelines. Relating with blue print of strategic planning, we first analyse external environment about Competitors, Suppliers, New entrants, Buyers, Substitutes with 5 force model for amenity information system. We second make the blue print of strategic planning of amenity web data base system project. Then we propose the FIRST, BEST, MOST strategy of amenity web data base system and the web hub system.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.339-348
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• 2014

This study searches an improvement scheme of auditing on international financial environment since enforcing IFRS in order to secure transparency and reliability in corporate accounting and credibility in external audit from 2011 K-IFRS. As improvement schemes for the issue of the audit on K-GAAP are: First, the guarantee of the auditor's qualities of duties and talents about the lack of accountability and awareness and independence of auditor are needed. Secondly, the free acceptance or certified public accountant is adopted. Third, the non-Executive Director shall be granted. Fourth, the external auditor CPA and Auditor's remuneration should be increased. Fifth, the auditor's shares shall be limited. Sixth, the external audit to supervise and the ratio of supervision should increase. Finally, the foreign corporation for the time being limited to increase our competitiveness.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.93-102
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• 2022

The goal of this study was to see how big data analytics (BDA) affected external audit procedures in the Middle East. The measurement model and structural model of this investigation were evaluated using PLS-SEM (3.3.3). The study sample members were (361) auditors who work in auditing companies in Kuwait, Saudi Arabia, the United Arab Emirates, Jordan, Bahrain, Egypt, Lebanon, and Iraq. A questionnaire was chosen to the study sample members electronically, and the study sample members were (5093) auditors who work in auditing companies in Kuwait, Saudi Arabia, the United Arab Emirates, Jordan, Bahrain, Egypt, Lebanon, and Iraq. To choose the sample, the researchers used a stratified random sampling procedure. The findings show that BDA has an impact on audit procedures at all phases of the auditing process, where it contributes to information delivery that helps auditors understand the client's internal and external environments, which in turn influences the choice to accept the audit assignment. Furthermore, by providing essential information, BDA enables auditors to simply run analytical procedures, estimate client risks, and understand and evaluate the internal control system. As a result, auditors must develop their abilities in the BDA field, as it adds to the creation of additional value for both auditors and their clients.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.11-27
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• 2012

The purpose of this study was to suggest a guideline for systematic and practical critical success factors of the External IT audit. For this purpose, an integrated conceptual model is developed considers that the service quality, and the IS(Information Systems) success with a contingency viewpoint. The model is tested using 254 data of IS projects which procured the external IT auditing service in public sector of Korea. The results of this study are as follows. First, service quality attributes of responsiveness, reliability, and tangibility have positive influence on IS implementation process quality. Second, the external IT audit quality obviously contributes to IS implementation success considering both IS implementation process quality and IS system quality. However it has positive influence on the process quality directly and the system quality indirectly.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.519-531
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• 2020

This research aims to identify the determinants of e-government satisfaction in Hanoi, Vietnam, and assess their impact. To collect data, we conducted an online questionnaire with citizens living in Hanoi in a time span of five weeks. We received 1,107 responses, divided into three groups: unaware, known, but not used, and used e-government. After leveraging past studies on satisfaction in different contexts, we arrived at six external variables that are of particular relevance to e-government satisfaction (i.e., efficiency, trust, reliability, convenience, citizen support, and transparency) as well as four control variables (i.e., age, gender, education level, and Internet frequency). We then applied both SPSS 22 and STATA 2016 to process and analyze the collected data and found that, while almost all external variables are statistically significant, all four control variables are not. Apart from convenience and trust, four factors - efficiency, reliability, citizens support, transparency - are important measures of system quality, information quality, service quality and relative benefits of e-government, which in turn positively and significantly impact citizens' satisfaction with the online public services. Furthermore, the efficiency variable has the most influence on customer satisfaction, and the level of impact on the dependent variable decreases in the following order: citizen support, reliability and transparency.

• Journal of East Asia Management
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• v.4 no.1
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• pp.23-51
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• 2023

We investigate whether the association between management overconfident tone and the level of audit effort measured by audit fees and hours differs depending on the level of earnings management. Prior studies suggest that firms led by overconfident managers are likely to initiate risky investments, report low quality financial statements, and have material weaknesses in internal control system. These characteristics, combined together, result in higher audit risk. At the same time, auditors assess audit risk based on the quality of financial reporting, measured by level of earnings management. As a result, the assess audit risk is likely to reflect the combined effect of management overconfidence and the level of earnings management. In this paper, we investigate whether auditors differentiate the effects of real earnings management (REM) and accrual-based earnings management (AEM) when they assess the audit risk related management overconfident. Using the CEO's letter published in 2018, we measure the CEO's tone representing the degree of overconfidence (i.e., activity). Based on this measure, we find that the positive association between managerial overconfident tone and audit effort is more pronounced as the level of REM is higher. However, we find that the baseline association does not vary depending on the level of AEM. These results suggest that auditors consider the managerial overconfident severer when such characteristic accompany the higher level of REM, which can be outcome of aggressive business decisions possibly leading to the higher audit risks. We further find that these results are stronger for Big 4 auditors and continuing auditors. This paper contributes to the literature and practice as follows. First, we provide contextual evidence on how auditors reflect managerial characteristics in the audit process by documenting that auditors actively increase their audit efforts only when overconfident managerial characteristics are highly likely to lead to audit risk. This result suggests that auditors conduct external auditing considering both the efficiency and effectiveness of the audit process. Second, we suggest that auditors use information obtained from a wide range of sources to identify audit risks. Our results provide evidence of how the auditing standards, which do not provide detailed guidelines for audit risk assessment, are being applied in practice. Finally, our results also enhance the understanding of how audit fees are determined. Combined with the studies related to audit pricing, we provide the important reference for discussion between the auditor and the auditee about the audit fee that has created acute tension after the enforcement of the new External Audit Act.

• Management & Information Systems Review
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• v.35 no.3
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• pp.231-247
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• 2016

This study, according to the amendment of the Act on External Audit, on the basis of the number of input auditors, the content of auditing, and audit times as additional informations, calculates the average of the samples listed companies with assets of one hundred billion KRW. However, since the actual number of the subject corporations of which asset is 100 billion KRW is small, it is difficult to extract data with reference to this asset size. Therefore, the samples were extended to 50 corporations of which asset is 10% less than 100 billion KRW and other 50 more corporations of which asset is 10% more than 100 billion KRW. As a result, a total of 100 corporations were included as samples. To calculate the average of the audit times, a t-test was performed between the two groups. The result of the t-test showed that there is not a significant difference between the two groups. According to the analytical results of the t-test, the average of the number of input auditors and the average of audit times were calculated with respect to all the 100 samples. A further analysis showed that the average of audit content in the present study was compared with the estimated values in the study of Mun (2016). Although the results of this study may not be the optimal number, they may be used as a fundamental index which may be compared with the audit times and the audit fees in the current audit market where there is not an available reference. In addition, the amendment of the Act on External Audit may enhance the independence of auditors and the transparency of accounting system when compared with the previous system where only the total audit times were disclosed.

• Proceedings of the Technology Innovation Conference
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• 1998.06a
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• pp.131-163
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• 1998

The interest in the evaluation of government-sponsored research institutes (GRIs) has increased markedly in Korea in 1990s; this is mainly because of the increasing needs 1) to improve the quality of R&D at GRIs, and 2) to reorient the GRIs' strategic position in Korean national innovation systems due to the enhancement of R&D capabilities of private companies and universities during last decade. As a first attempt to diagnose the managerial and strategic issues of GRIs, a Multi-Ministerial Evaluation Committee was established as an ad hoc task force under the Prime Minister's Office in 1991. According to the recommendations of the committee, the Ministry of Science and Technology (MOST) to which most of GRIs were affiliated, made it a rule to evaluate the annual performance of GRIs since 1992. This paper examines the recent experience of MOST's evaluation of Government-sponsored Research Institute in Korea. After several years'efforts of Science & Technology Policy Institute(STEPI) to build prospective evaluation systenL MOST decided to apply two supplementary approaches for the evaluation of GRIs; one is summative annual evaluation and the other is formative 3-year evaluation. The annual evaluation system that is designed as a temporary measure is to monitor and to guide the self-evaluation activities of GRIs. In the process of annual evaluation, MOST tries to minimize its direct involvement, and allows each GRI to develop self-evaluation system that is most appropriate for the unique characteristics of the institute. If there exist urgent issues under scrutiny, however, it can be incorporated and examined by a group of external experts as special issues in the annual evaluation system. The aim of 3-year evaluation is both to examine the past performance of each GRI and to investigate whether the strategic role of each GRI is viable in the future. Its major focus, however, lies not on auditing past performance but on strengthening future strategic position of each GRI. The MOST designates a group of evaluation experts with appropriate knowledge and competence as members of the General Evaluation Committee for one year. With the help of STEPI, a specialized research institute for R&D evaluation, the General Evaluation Committee develops methodology and procedures for the actual evaluation of GRIs. Based on the evaluation reports and recommendations from the General Evaluation Committee, the MOST develops various policy measures for strengthening GRIs.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.173-190
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• 2015

The purpose of this study is to improve bankruptcy prediction models by using a novel hybrid under-sampling approach. Most prior studies have tried to enhance the accuracy of bankruptcy prediction models by improving the classification methods involved. In contrast, we focus on appropriate data preprocessing as a means of enhancing accuracy. In particular, we aim to develop an effective sampling approach for bankruptcy prediction, since most prediction models suffer from class imbalance problems. The approach proposed in this study is a hybrid under-sampling method that combines the k-Reverse Nearest Neighbor (k-RNN) and one-class support vector machine (OCSVM) approaches. k-RNN can effectively eliminate outliers, while OCSVM contributes to the selection of informative training samples from majority class data. To validate our proposed approach, we have applied it to data from H Bank's non-external auditing companies in Korea, and compared the performances of the classifiers with the proposed under-sampling and random sampling data. The empirical results show that the proposed under-sampling approach generally improves the accuracy of classifiers, such as logistic regression, discriminant analysis, decision tree, and support vector machines. They also show that the proposed under-sampling approach reduces the risk of false negative errors, which lead to higher misclassification costs.