• Korean Journal of Occupational Health Nursing
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• v.30 no.4
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• pp.175-185
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• 2021

Purpose: The purpose of this study was to explore the influence of care stress for older patients, self-perceptions of aging, and anxiety about aging on preparation for retirement in clinical nurses. Methods: This was a cross-sectional descriptive study in which participants were 222 nurses who had at least six months of work experience and were involved in caring for older patients in the last six months at the work site. Data were collected from August to September, 2020 using an online survey questionnaire. Data were analyzed using the IBM SPSS/WIN 25.0 program. Results: The mean level of preparation for retirement in the participants was moderate (3.21 out of 5 points). Among the sub-domains of preparation for retirement, financial preparation had the lowest score. Self-perceptions of aging and aging anxiety were significant predictors for retirement preparation in nurses, accounting for 16% of the variable's total variance. Conclusion: A greater level of preparation for retirement was associated with a positive perception of aging and a decreased level of aging anxiety in the clinical nurses. Further research should focus on exploration of specific determinants of financial preparation for retirement and development of intervention strategies for improving preparation for retirement in the nursing workforce.

• Korea Trade Review
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• v.42 no.3
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• pp.25-47
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• 2017

Forfaiting is a trade finance facility whereby financial institution purchases accounts receivable from exporters, on a without recourse basis. After the adoption of K-IFRS in 2011, accounting for simple borrowing as usual negotiation increases debt ratio which in turn, worsens financial soundness of a company. Hence, exporting companies have their interest in forfaiting that enables book-off in order to decrease the borrowing. Along with the execution of URF 800 at ICC and increasing the interest of exporting companies into forfaiting, foreign exchange banks in Korea expand the development of products related to forfaiting. Upon surveying all these national banks of this matter, this paper identified an appropriate solution for the forfaiting practice.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.351-365
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• 2024

Purpose - The purpose of this paper is to examine the value relevance of the relative sizes of the contractual service margin (hereafter CSM) and the risk adjustment for non-financial risk (hereafter RA). Additionally, the paper examines how the relative size of the CSM impacts the relative value relevance of net assets and net income. Design/methodology/approach - This study conducted an empirical analysis utilizing the quarterly financial data and stock price information of domestically listed insures (including life and non-life insurers) from 2023 onwards. Specifically, regression analysis and parallelism tests were employed in the research. Findings - Firstly, the empirical analysis of the value relevance of CSM and RA showed that CSM has a significant positive value relevance with firm value, while RA has a significant negative value relevance with firm value. Secondly, it was found that as the CSM increases, the value relevance of net income increases, whereas the value relevance of net assets decreases. Research implications or Originality - Despite both CSM and RA being components of insurance contract liabilities, their differing impacts on firm value suggest that the capital market has a relatively clear understanding of the characteristics of CSM and RA. The finding that the value relevance of reported current earnings increases with larger CSM indicates that CSM-focused management is desirable from the perspective of enhancing firm value.

• Korean Journal of Social Welfare
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• v.67 no.4
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• pp.51-77
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• 2015

This study attempts to examine the relationship between human resource management & financial resource management and service quality in social service organizations in Korea. This study utilizes '2012 Central Government Social Welfare Facilities Evaluation (CGSWFE)' data and employs multiple regression method to examine research model. The key findings of this study are as follows: (1) after controlling extraneous variables (organizational characteristics), among human resource management related variables, performance appraisal, fringe benefits, supervision, formal grievance procedure, the percentage of employees with certified professional license, and salary have statistically significant relationships with service quality in a positive direction; (2) among financial resource management related variables, the percentage of additional governmental funding beyond basic government subsidies, accounting management, and transparent use and management of donations have statistically significant relationships with service quality in a positive direction; and (3) human resource management related variables are stronger than financial resource management related variables in explaining service quality. The findings imply that more systematic human resource management and financial resource management would be very important in strengthening service quality in social service organizations. This study provides new knowledge foundation regarding the effect of human resource management and financial resource management on service quality in social service organizations.

• Knowledge Management Research
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• v.22 no.2
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• pp.247-268
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• 2021

Investors mainly use PER and PBR among financial ratios for valuation and investment decision-making. I conduct an analysis of two basic financial ratios from a statistical perspective. Financial ratios contain key accounting numbers which reflect firm fundamentals and are useful for valuation or risk analysis such as enterprise credit evaluation and default prediction. The distribution of financial data tends to be extremely heavy-tailed, and PER and PBR show exceedingly high level of kurtosis and their extreme cases often contain significant information on financial risk. In this respect, Extreme Value Theory is required to fit its right tail more precisely. I introduce not only GPD but exGPD. GPD is conventionally preferred model in Extreme Value Theory and exGPD is log-transformed distribution of GPD. exGPD has recently proposed as an alternative of GPD(Lee and Kim, 2019). First, I conduct a simulation for comparing performances of the two distributions using the goodness of fit measures and the estimation of 90-99% percentiles. I also conduct an empirical analysis of Information Technology firms in Korea. Finally, exGPD shows better performance especially for PBR, suggesting that exGPD could be an alternative for GPD for the analysis of financial ratios.

• 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.

• Management & Information Systems Review
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• v.31 no.3
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• pp.117-139
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• 2012

The purpose of this study is to examine of transparency and Corporate Social Responsibility(CSR) on financial performance and firm value. The empirical results are as follows: First, we finds that ROA showed significant effect of all transparency measures exception QAS measure and Tobin's Q showed significant effect of CITSA, SCTSA, SETR and SATSA. Second, 'Total-ROA' and 'ROA' models showed significant positive effects of lnCSR(TranD${\times}$lnCSR) and ROA, also 'Total-Tobin's Q' and 'Tobin's Q' model had same results. Consequently, this study results had that The firms with higher transparency and higher CSR exhibit better financial performance and firm value.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.23-40
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• 1999

This paper proposes a hybrid intelligent system that predicts the failure of firms based on the past financial performance data, combining neural network and rough set approach, We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios and qualitative variables and objects (i.e., firms) is reduced with no information loss through rough set approach. And then, this reduced information is used to develop classification rules and train neural network to infer appropriate parameters. Through the reduction of information table, it is expected that the performance of the neural network improve. The rules developed by rough sets show the best prediction accuracy if a case does match any of the rules. The rationale of our hybrid system is using rules developed by rough sets for an object that matches any of the rules and neural network for one that does not match any of them. The effectiveness of our methodology was verified by experiments comparing traditional discriminant analysis and neural network approach with our hybrid approach. For the experiment, the financial data of 2,400 Korean firms during the period 1994-1996 were selected, and for the validation, k-fold validation was used.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.25-27
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• 2011

본 논문에서는 경제의 글로벌화를 반영하는 세계적인 현상인 국제회계기준 채택에 대하여 회계 관련사항을 내재하고 있는 기업의 전사적 관리 소프트웨어인 국산 ERP 시스템에 대하여 세금처리의 투명성을 향상시킬 수 있는 방법론적 모델을 해외 ERP의 장점을 통하여 연구한다. 국제회계기준은 기업요소에서 가장 중요한 자본의 국제적인 이동이 기본적 사항으로 기업의 소재지에 대한 국가표시와 관계없이 재무제표의 정보가 투명하고 비교 가능하도록 국제적으로 단일한 회계기준이 사용을 요구한다. 이러한 환경 변화에 따라 국제회계기준(International Financial Reporting Standards: IFRS)의 필요성과 중요성이 확대되어지고 있으며 국제회계기준위원회(International Accounting Standards Board: IASB)의 영향력까지 강화되어지고 있다. 본 논문은 국제회계기준에 맞춘 회계처리 부분의 투명성 향상 모델을 연구하기 위하여 국내에서 많이 사용되고 있는 국산 ERP 소프트웨어 프로그램에 대하여 국제회계기준과 상반되는 현상을 유발하는 기준이 되는 부분을 상호 보완할 수 있는 해외 ERP 소프트웨어 프로그램을 기반으로 기업 시스템을 분석, 구현한다. 국산 ERP 시스템의 국제회계기준 처리와 관련된 단점은 송장의 수정, 삭제가 용이하며 수정, 삭제 후 이력이 남지 않는 부분이다. 이 부분은 국제회계기준에서는 신뢰성에 대한 중대한 문제를 유발하므로 외산 ERP패키지의 장점인 수정과 삭제 단계가 계층적이며 수정, 삭제를 하더라도 필수적으로 이력전체가 저장되는 시스템을 연구하며 특히 세금처리 부분이 상이한 점을 보완하기 위한 모듈을 추가한다. 수정, 삭제에 대한 이력관리는 담당자의 전문적 능력평가와 동시에 실수와 오류부분에 대한 통계를 통하여 관리의 향상성을 추구하여 투명성이 향상된 모델 구축에 활용할 수 있다.

• International Area Studies Review
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• v.21 no.2
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• pp.143-169
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• 2017

This paper empirically examines how capital structure inertia varies across industries and there is different in industries, and whether this fact is explained by product market competition using non-financial firms listed in KOSP market over periods of 1981 to 2015. In empirical test, I find that firms with more competition environment tend to have inertia behavior in making decision of capital structure. This implies that it is explained by debt discipline effect and it is substitution for product market competitions. Also I find that manager tends to take action actively making decision of capital structure when product market competition is low. Also I show that they use debt to constraint the free cash flow. As a result, I conclude that Korean non-financial firms do not have more strong inertia behavior in capital structure rather than U.S. firms. Second, using OLS estimation, inertia effect disappears while there is strong inertia effect in relationship between inertia and product market competition. This result suggests that transaction cost is not key factor in explaining inertia behavior of capital structure.