• Journal of Industrial Convergence
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• v.15 no.1
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• pp.17-32
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• 2017

The purpose of this study is to evaluate financial models that can predict corporate bankruptcy with diverse studies on evaluation models. The study uses discriminant analysis, logistic model, decision tree, neural networks as analyses tools with 18 input variables as major financial factors. The study found meaningful variables such as current ratio, return on investment, ordinary income to total assets, total debt turn over rate, interest expenses to sales, net working capital to total assets and it also found that prediction performance of suggested method is a bit low compared to that in literature review. It is because the studies in the past uses the data set on the listed companies or companies audited from outside. And this study uses data on the companies whose credibility is not verified enough. Another finding is that models based on decision tree analysis and discriminant analysis showed the highest performance among many bankruptcy forecasting models.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.81-90
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• 2018

Modern investment theory has empirically proved that stock returns can be explained by several factors such as market risk, firm size, and book-to-market ratio. Other unknown factors affecting stock returns are also believed to still exist yet to be found. We believe that one of such factors is the operational efficiency of firms in transforming inputs to outputs, considering the fact that operations is a fundamental and primary function of any type of businesses. To support this belief, this study intends to empirically study the relationship between firm efficiency and stock price performance. Firm efficiency is measured using data envelopment analysis (DEA) with inputs and outputs obtained from financial statements. We employ cross-efficiency evaluation to enhance the discrimination power of DEA with a secondary objective function of aggressive formulation. Using the CAPM-based performance regression model, we test the performance of equally weighted portfolios of different sizes selected based upon DEA cross-efficiency scores along with a buy & hold trading strategy. For the empirical test, we collect financial data of domestic firms listed in KOSPI over the period of 2000~2016 from well-known financial databases. As a result, we find that the porfolios with highly efficient firms included outperform the benchmark market portfolio after controlling for the market risk, which indicates that firm efficiency plays a important role in explaining stock returns.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.179-185
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• 2011

This paper aims to examine the use of the Balanced Scorecard in a not-for-profit organization (the Korea Shipping Association). The KSA has begun using the Balanced Scorecard paradigm in its strategic planning process. In this paper an overview is presented of the basic concepts of the Balanced Scorecard including the financial perspective, customer perspective, internal process perspective, and learning and growth perspective. The accounting system and its pros and cons of the KSA are then surveyed in terms of its performance evaluation. The application of the Balanced Scorecard approach to the KSA is discussed in detail. Implications in using the Balanced Scorecard are discussed. Finally, conclusions regarding the use of the Balanced Scorecard in a not-for-profit organization are presented. Through this paper, the comprehensive understanding of the performance evaluation for not-for-profit organizations as the KSA would be promoted.

• Journal of Technology Innovation
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• v.13 no.1
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• pp.265-293
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• 2005

This research examines the relationship between the characteristics of Government S&T Research Institutes (GRI) and their institutional performance evaluation system. First, based on Kaplan & Norton (1992) Balanced Scorecard Model, six perspectives suitable to Korean GRI are derived. Second, personnel who works on evaluation job classified current performance measures into the six perspectives. Analyzing comparative weights of individual perspectives, the characteristics of performance evaluation systems among institutes are derived and compared with their missions. The results are as follows: First, GRI evaluation systems put most weight on the customer perspective and least weight on the financial perspective. This result complies with Korean GRI's missions and strategies as well as findings of foreign cases. Second, Basic-technology GRI group relatively more priotizes long-term customer perspective, while Applied-technology GRI Group relatively more priotizes short-term customer perspective. Public-technology GRI Group is located in the middle in terms of priority of customer perspectives. Third, for three yews (2000-2002), performance measure weights of Basic-technology Group are changed much less than those of the other two groups. Further research are needed for reasons of drastic changes for Applied-technology and Public-technology groups and some abnormally high and low measure weights.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.229-252
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• 2013

The aim for this study is to suggest a practical model to measure the financial values of the achievements from corporate research and development(R&D) projects. Performance indicators for R&D projects were identified from the extensive literature reviews and the evaluation methods to convert them into financial values were proposed to overcome the problems of excessive predictions and subjective expert assessments in existing methods. The proposed model was applied to R&D projects of an IT company in Korea for its validity test. The model is expected to be a turning point in economic evaluation of corporate R&D projects in general due to its practical and reasonable scheme.

• Asia Marketing Journal
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• v.16 no.1
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• pp.13-20
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• 2014

Despite heightened interest in and increased urgency surrounding the adoption of green business initiatives, firms seem to suffer from a limited understanding of the prerequisites and profit potentials of green strategies. Our proposed theoretical model suggests that green purchasing asa unique firmcapability must be built on internal organizational characteristics (i.e., top management commitment to environmental management, inter-functional coordination, and performance evaluation and reward systems), and that it eventually helps a firm obtain positive financial performance. We offer some research propositions about potential causal relationships among key constructs that can be empirically tested in future research. We conclude the current study with implications for both managers and researchers.

• Journal of the Korean Society of Costume
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• v.43
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• pp.125-142
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• 1999

This research was aimed to present a model of clothing products evaluation nd to classify the effect of extrinsic cues on clothing products evaluation. In order to accomplish following subjects were established. First it is to find the effect of extrinsic cues -price brand store - on perceived quality perceived risk perceived value and purchase intention of clothing products. Second it is to formulate a model of clothing products evaluation and find the relation among the variables such as extrinsic cues perceived quality perceived risk perceived value and purchase intention. This research was mainly divided into theoretical and empirical part. In the theoretical part previous theories and studies on clothing products cues clothing products evaluation perceived quality perceived risk and perceived value were examined to establish a research model and to present a theoretical frame for clothing products evaluation. In the empirical research a questionnaire was developed and statistical data were collected from during July 1997. The subjects were 862 women in the age of 20-35 living in Seoul and kyungki region. SAS and LISREL were used to analyze the collected data. frequency percentage factor analysis ANOVA duncan test correlation analysis regression analysis and LISREL were applied. The results of this research are as follows: First perceived quality consists of performance quality external quality and utility quality in a form of multi dimensional structural. Perceived risk is structured by social/resultant risk financial/fashionable risk and performance/management risk. Second this research proved that extrinsic cues are influenced by each individual variable and extrinsic cues interact with each other through the variable. The perceived quality is influenced most by price Among the perceived risk social/resultant risk by brand financial/fashionable risk by price and performance/management risk by store. respectively. Perceived value is inflenced by price and brand. Third in evaluating process consumer use extrinsic cues to first formulate perceived quality and perceived risk of clothing products and then formulate perceived value ot decide on purchase intention.

• Journal of Distribution Science
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• v.15 no.11
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• pp.59-72
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• 2017

Purpose - This paper evaluated the efficiency performance of the three major maritime transport markets and examined the determinants of the performance. The firms' revenue fluctuates with the changes of the economic cycle; hence it is important for them to set up business strategies to improve efficiencies. A lack of efficiency measurements for shipping firms leads to a significant gap in determining their overall performance. Research design, data, and methodology - Each of DEA scores was adopted for the evaluation and panel regression was used to examine the impact of determinants on the performance. The analysis included 50 shipping firms from three maritime transport markets as follows; 15 firms of container liners, 18 firms of bulk carrier and 17 firms of tanker carriers, and its period was from 2010 to 2016. Results - In the CCR model, container liners were the highest, tanker carriers were the second, and bulk carriers were the lowest in operation efficiency and financial efficiency. By region, operation efficiency and financial efficiency was high in the order of America, Asia, and Europe. Conclusions - This study suggests business strategies for maritime transport companies based on the analytical results of determinants of operational and financial efficiency.

• The Korean Journal of Financial Studies
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• v.13 no.1
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• pp.133-160
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• 2007

본 연구는 중국 뮤추얼펀드를 대상으로 폐쇄형(48개), 개방형(17개)으로 구분하여 총 65개 펀드에 대해 성과를 측정해보고, 이를 통해 중국 뮤추얼펀드가 지수대비 어떠한 성과를 보여주고 있는지를 살펴보고자 한 연구이다. 성과 평가 실증기간은 폐쇄형 펀드가 2002년 1월 4일부터 2004년 12월 31일까지 3년으로 하며 개방형 펀드가 2003년 1월 3일부터 2004년 12월 31일까지 2년으로 하였다. 실증연구방법들은 CAPM에 기반한 트레이너 모형, 샤프 모형, 젠센 모형과 장세판단능력 측정 모형인 트레이너-마주이 모형이다.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.79-87
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• 2024

Recently, the importance of pre-trained language models (PLM) has been emphasized for natural language processing (NLP) such as text classification, sentiment analysis, and question answering. Korean PLM shows high performance in NLP in general-purpose domains, but is weak in domains such as finance, medicine, and law. The main goal of this study is to propose a language model learning process and method to build a financial-specific language model that shows good performance not only in the financial domain but also in general-purpose domains. The five steps of the financial-specific language model are (1) financial data collection and preprocessing, (2) selection of model architecture such as PLM or foundation model, (3) domain data learning and instruction tuning, (4) model verification and evaluation, and (5) model deployment and utilization. Through this, a method for constructing pre-learning data that takes advantage of the characteristics of the financial domain and an efficient LLM training method, adaptive learning and instruction tuning techniques, were presented.