• 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.

• International Commerce and Information Review
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• v.2 no.1
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• pp.129-148
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• 2000

지적재산권은 기술개발의욕 자극을 위해 새로이 물건이나 사상 등의 창작자에게 일종의 배타적 독점권을 부여한 것으로서 1980년대 이후 국제적 관심이 고조되기 시작하였는데, 두 차례의 석유파동 이후 기술이 국제 경쟁력의 주요 결정요인으로 등장하던 시기에 한국을 비롯한 개도국들이 선진국의 기술을 모방하여 첨단기술제품 분야에서 경쟁적 우위를 확보하자 자신들의 경쟁력 확보를 위해 선진국들이 자신들의 통상교섭력을 바탕으로 GATT/UR 등 국제적 협상을 통해 지적재산권 보호문제를 통상문제로 확대시킨 것이다. 이러한 지적재산권에 대한 통상문제와 관련하여 가장 문제가 되는 국가는 역시 미국인데, 미국은 통상법 301조 중 지적재산권 보호에 적용되는 Special 301조를 이용하여 지적재산권 보호에 대한 실효성을 확보하였으며, 당초 제품수입상의 불공정거래행위에 적용하던 관세법 337조를 지적재산권을 침해하는 수입 판매행위에도 적용할 수 있도록 개정함으로써 그 보호수단을 더욱 강화하였는데, 이에 따라 우리도 적절한 대응방안의 모색이 요구되고 있다. 우선 정부의 입장에서는 대내적으로 원천기술 및 개량기술 개발을 통한 기술의 해외의존도 축소, 인센티브 도입 등 직무발명제도 활성화, 해외특허권 취득확대를 위한 중소기업의 해외출원비용 지원, 심사관의 전문화롤 통한 심사의 처리속도 및 질 향상, 특허기술정보 이용체제 개선을 위한 특허청의 정보전산화 및 산업기술정보원 톡허정보센타와의 유기적인 협조체제 구축, 기업의 특허분쟁대응능력 향상을 위한 전담부서 마련 및 국제특허분쟁 전문변리사 양성 등의 대안을 마련할 필요가 있으며, 대외적으로는 PLT협약 등 차후에 있을 국제협약에의 적극적인 참여를 통한 우리나라의 이익도모, 남북 가교역할의 강화 및 한 미 양국간의 법제적 차이에 대한 오해불식, 해당 산업에 영향을 줄 수 있는 로비 활동의 활성화 등의 대안이 필요하다. 또한 기업의 입장에서는 사전적으로 과감한 연구개발투자를 통한 산업재산권 확보, 기술 법률 언어능력을 고루 갖춘 특허전문가의 확보, 국제특허분쟁에 대한 대응체계 구축, 특허권 분쟁발생 방지를 위한 책임소재의 명확화 등의 근본적인 대책과 국제특허분쟁 차단을 위한 철저한 선행기술 조사, 해외기술의 개량 및 이용 촉진을 위한 크로스-라이센스의 활성화, 부실특허권에 대한 적극적인 무효심판청구, 제소정보에 대한 조기 입수, 설계변경이나 특허무효자료조사 등 침해회피 방법의 준비, 위험특허에 대한 철저한 예비조사 등의 부수적인 대책을 마련할 필요가 있으며, 일단 특허분쟁이 발생한 경우에는 당해 분쟁의 자사 생산 제품과의 관련여부 검토, 사건에 필요한 광범위한 정보 수집을 위한 전담팀 구성, 제소인의 특허권에 대한 면밀한 법률적 검토, 제소자에 대한 정확한 정보파악 및 최종 대응방안에 대한 신속한 결정, 자사의 특허를 이용한 제소자에 대한 역제소 등의 대응방안을 강구할 필요가 있는 것이다.

• Management & Information Systems Review
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• v.33 no.3
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• pp.167-187
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• 2014

While Korean GAAP had detailed regulations for the measurement and disclosure of operating income in the past, K-IFRS did not provide specific rules for operating income until 2011. Some firms that adopted K-IFRS before 2011 did not disclose or calculated operating income in an inconsistent manner although operating income is usually considered as one of the core information items to assess firm valuation. Inconsistency in firms' treatment of operating income invoked much criticism from diverse users of financial statement. The Korean Accounting Institute (KAI hereafter) revised the K-IFRS rules relevant to operating income in September 2010 in response to the voices raised by the business community, whereby the operating income number is allowed to be calculated in conformity with the previous K-GAAP. This study was motivated by the revision of K-IFRS and aims to provide a clue on the validity of such policy decision. To achieve the research objective, we test the relative value relevance of the alternative operating income numbers under K-IFRS versus K-GAAP. Our main findings are as follows. The value relevance of operating income reported before K-IFRS is proved to be higher than after K-IFRS. K-IFRS operating income adjusted to the previous K-GAAP has greater explanatory power for market values relative to one calculated under the K-IFRS regime. In an additional analysis, the sample was decomposed according to whether the operating income under K-IFRS is greater than under K-GAAP. The difference in the value relevance of K-IFRS versus K-GAAP operating income is significant only in the subsample consisting of firms which reports higher operating income under K-IFRS compared to K-GAAP. Also, the firms which would have reported negative operating income on a consecutive basis are more likely to have chosen K-IFRS, resulting in higher numbers than otherwise. It is likely that firms facing the threat of delisting due to consecutive operating loss reporting are more likely to have adopted K-IFRS disclosure rules by which they could report higher operating income numbers. To sum up, these results corroborate the limitation inherent in the K-IFRS regarding operating income disclosures. This paper suggests that the recent revision of K-IFRS implemented by KAI is likely to mitigate some of afore-mentioned limitations effectively.

• Resources Recycling
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• v.17 no.2
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• pp.16-29
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• 2008

According to the statistical data of the Ministry of Environment, 47million tons of construction waste were generated, and 96.7% of them was recycled in 2005. However, the recycled products seem to be remained under low quality. Because mixed demolition and construction waste, so called DC Waste, including concrete, brick, plaster, lumber, plastics building materials, paper and some dirt and stone, is very variable and difficult to estimate its exact composition, it is regarded as having little or no value to the construction industry. 'The Research group on recycling of construction waste' was started by the Housing & Urban Research Institute(KNHC), which is sponsored as a large scale national project by the Ministry of Construction and Transportation. This research group intends to establish recycling system through planing, processing, developing practical technology, and eventually contribute to save natural resource and to vitalize the industry. In this paper an overview of DC waste management and recycling technology is given in some detail. Particularly, "recycling law of construction waste" and recent research trends on recycling of construction waste are discussed.

• Journal of Distribution Science
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• v.17 no.11
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• pp.73-79
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• 2019

Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2387-2393
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• 2017

The Moon government, launched in May 2017, regards telecommunication service as part of people's welfare and is trying to save telecommunication costs. However, the direction of policy presented is assessed as symptomatic approach. This is largely attributable to the a partial improvement approach from the framework of the present mobile telecommunication industry. However if we restart from an essential point of view, the result is likely to be much better. The nation's mobile communication costs are not adequate because the government's role was not sufficient. There is a problem with the mobile phone supply chain, the subsidy payment mechanism, and the billing system. Addressing these complex issues requires the establishment of an independent system of handset distribution from telecommunication companies, ban on discriminative subsidies payment, and adoption of volume rate system. Telecommunications Business Act that defines the service charges to normalize the market might be somewhat useful, but the normal application of the Fair Trade Act is more important.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.123-130
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• 2018

The subjects of this study were municipal citizens of Gyeongsangbuk-do Province and selected 250 members of the sports clubs as members. The sampling method for the data was used with simple ramdom sampling method, self-administration method. After questionnaire was distributed and retrieved, a total of 200 questionnaires were analyzed except for 50 items which were judged to be lack of credibility (double entry, no entry, insufficient data). For the data analysis, frequency analysis, ${\chi}^2$, factor analysis, reliability analysis, and one-way ANOVA were conducted in this study. First, there was no significant difference in life satisfaction among the participants. However, there was a significant difference in leisure satisfaction according to age. Second, there was a statistically significant difference in the life satisfaction of the athletes according to educational background, and there was a statistically significant difference in leisure satisfaction according to educational background.

• Korean Journal of Construction Engineering and Management
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• v.5 no.3 s.19
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• pp.114-119
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• 2004

A road is an infrastructure that helps boost up growth of local economy, connections among local communities and living conditions. For South Korea the increase in infrastructures like roads now concentrates on specific regions, which causes regional imbalance. also, some areas are faced with the overall weakness of local economy such as decrease in local tax revenues, slowdown in industrial and economic growth of regions, and the low independence of local finances because lack of roads, a basis of local economic growth, make big and smaller business reluctant to invest in localities. In addition, even though the power-centralized age turns to a decentralized age, the preference of development policies by the existing economic size rather than those of nationwide balanced development gets the economic gap of localities deeply-rooted; moreover, disparity of local wealth has a tendency to even differentiate the overall quality of living. The paper intends to analyze relations between road development and local economy focused on road construction, one of requisites to balance national development and accelerate local economy.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.228-244
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• 2017

This paper aims to evaluate the Industrial Complex Campus Program and to provide policy recommendations for promoting effectiveness of industrial complex campuses through the in-depth case study on the Changwon Industrial Complex Campus Program. The survey shows that the program contributes to not only strengthening the R&D capacities of SMEs within the cluster, but also promoting the interactions between local companies and local universities. But it claims that the industrial complex campus program reveals some limitations to supporting effectively local enterprises. First, It is necessary to maintain regional balance in terms of the sites of the implementation of the program. Second, the policy management plan and the monitoring system of the program should be established for the purpose of the self-reliance of industrial complex campuses, regardless of the government financial support.

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2007.12a
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• pp.167-184
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• 2007

The objectives of this paper are to identify the causes of the corporate distress and to develop a distress prediction model with the financial information in fishery industry. In this study, the corporate distress is defined as economic failure and technical insolvency. Economic failure occurs by reduction, shut-down, or change of the business and technical insolvency results from failure to pay the financial debt of companies. The 33 distressed firms from 1991 to 2003 were composed by 14 economic failure companies, 15 technical insolvency companies. 4 companies applied to the both cases. The analysis of distress prediction of fishery companies were accomplished according to the distress definition. The analysis was carried out as two steps. The first step was the univariate analysis, which was used for checking the prediction power of individual financial variable. The t-test is used to identify the differences in financial variables between the distressed group and the non-distressed group. The second step was to develop distress prediction model with logistic regression. The variables showed the significant difference in univariate analysis were selected as the prediction variables. The financial ratios, used in the logistic regression model, were selected by backward elimination method. To test stability of the distress prediction model, the whole sample was divided as three sub-samples, period 1(1990$\sim$1993), period 2(1994$\sim$1997), period 3(1998$\sim$2002). The final model built from whole sample appled each three sub-samples. The results of the logistic analysis were as follows. the growth, profitability, stability ratios showed the significant effect on the distress. the some different result was found in the sub-sample (economic failure and technical insolvency). The growth and the profitability were important to predict the economic failure. The profitability and the activity were important to predict technical insolvency. It means that profitability is the really important factor to the fishery companies.