• Journal of Digital Convergence
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• v.18 no.11
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• pp.527-538
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• 2020

This research measures the urgency and importance listening to experts' opinions as a proposal for vitalization of folk modern dance groups. Firstly, the open type FGI(Focus Group Interview) was implemented for five groups of an expert by applying the new industry foster theory, and total 24 types of second questionnaire were developed through importantly referred or repeated contents. They were distributed to 20 people including a dance group representative, a planner, a university professor and etc to measure experts' importance and urgency. In the research result, For big list, Financial aid for both importance and urgency appear first, and for comparative analysis of importance and urgency for small list, differences in infrastructure construction are shown. "expansion of dance program's advertisement channels" and "rank 1" appeared in "Secure space for dancers". Suggestions for analyzing such results are as follows. It is shown that "detailed financial aid for the operation of dance groups" and etc in the aspect of financial aid, "the employment of professional human resources including design and producing etc" in that of performance and education related production development, "training a dancer who can assimilate a complex genre" in that of manpower training, "arrangement of exclusive space for a dance group" in that of infrastructure building, and "the employment of professional human resources including design and producing etc" in that of consulting support are important and urgent matters considered by experts.

• The Journal of Small Business Innovation
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• v.19 no.3
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• pp.1-16
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• 2016

Korean government had used public 'credit guarantee schemes' (CGS) as a counter-cyclical measure. However, it is still controversial about the effectiveness of policy financing on the SMEs. Criticism on policy financing involves the argument that supporting enterprises hampers competition and innovation of SMEs by increasing their dependence on the government and delays the exit of marginal firms. In this paper, we investigate how to effectively build up the rationale of running public CGSs. At the same time, we propose the ways to coexist of public credit guarantee and market-based private finance system for SMEs. First, CGS, as a counter-cyclical function, must coexist with the private financial system by compensating the market failure caused by pro-cyclical behavior of the private financial market. Second, CGS has the comparative advantages, compared to both the interest rate policy of the central bank and fiscal policy of the government. The credit guarantee is the symptomatic treatment that could revitalize the economy shortly by providing liquidity. Also, knowing that CGS is provided based on the leverage ratio defined by outstanding guarantee divided by capital fund, public 'credit guarantee' (CG) has an advantage that is free from the risk of government deficit. Third, the reason for existence of the CGS should be founded in supporting services for SMEs, available only in a public sector that is difficult to expect from private banks. In this regard, it is desirable to strengthen the publicness of credit guarantee over the support for start-ups, growing companies, the improvement of productivity, increase of exports, a long-term investment in facilities, the employment-creating businesses, and innovative enterprises.

• Journal of Distribution Science
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• v.13 no.5
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• pp.53-60
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• 2015

Purpose - The purpose of this paper is to shed light on the importance of the slope and curvature of the volatility curve implied in option prices in the KOSPI 200 options index. A number of studies examine the implied volatility curve, however, these usually focus on cross-sectional characteristics such as the volatility smile. Contrary to previous studies, we focus on time-series characteristics; we investigate correlation dynamics among slope, curvature, and level of the implied volatility curve to capture market information embodied therein. Our study may provide useful implications for investors to utilize current market expectations in managing portfolios dynamically and efficiently. Research design, data, and methodology - For our empirical purpose, we gathered daily KOSPI200 index option prices executed at 2:50 pm in the Korean Exchange distribution market during the period of January 2, 2004 and January 31, 2012. In order to measure slope and curvature of the volatility curve, we use approximated delta distance; the slope is defined as the difference of implied volatilities between 15 delta call options and 15 delta put options; the curvature is defined as the difference between out-of-the-money (OTM) options and at-the-money (ATM) options. We use generalized method of moments (GMM) and the seemingly unrelated regression (SUR) method to verify correlations among level, slope, and curvature of the implied volatility curve with statistical support. Results - We find that slope as well as curvature is positively correlated with volatility level, implying that put option prices increase in a downward market. Further, we find that curvature and slope are positively correlated; however, the relation is weakened at deep moneyness. The results lead us to examine whether slope decreases monotonically as the delta increases, and it is verified with statistical significance that the deeper the moneyness, the lower the slope. It enables us to infer that when volatility surges above a certain level due to any tail risk, investors would rather take long positions in OTM call options, expecting market recovery in the near future. Conclusions - Our results are the evidence of the investor's increasing hedging demand for put options when downside market risks are expected. Adding to this, the slope and curvature of the volatility curve may provide important information regarding the timing of market recovery from a nosedive. For financial product distributors, using the dynamic relation among the three key indicators of the implied volatility curve might be helpful in enhancing profit and gaining trust and loyalty. However, it should be noted that our implications are limited since we do not provide rigorous evidence for the predictability power of volatility curves. Meaning, we need to verify whether the slope and curvature of the volatility curve have statistical significance in predicting the market trough. As one of the verifications, for instance, the performance of trading strategy based on information of slope and curvature could be tested. We reserve this for the future research.

• Journal of the Korean Home Economics Association
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• v.20 no.1
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• pp.65-77
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• 1982

The intent of this study was to focus attention on the relationship between curtain fabrics and consumer perceptions towards curtains and draperies. This study consisted of the laboratory test for thermal transmittance of selected fabrics and the exploratory survey for consumer perceptions towards curtains and draperies. The objectives of the laboratory test were to measure fabric's thermal transmittance, thickness, and count which affect to the effect in heat controlling. Selected 23 fabrics were tested at Korean Yarn and Fabrics Testing Inspection Institute. The objectives of the exploratory survey were to determine sociodemographic factors; the stage of family life cycle, the economics status, and homemaker's level of education, and physical factors; the type of houses, the direction of windows, and the type of windows, affect consumer perceptions toward curtains and draperies. Questionaires were administered to 489 homemakers selected by a stratified propotional sampling plan, in Seoul in October, 1981. Data from responses were analyzed by T-test(Analysis of Varience) and Partial Correlation. The major findings are as follows; 1. The results of the laboratory test 1) The fabrics used for draperies had higher effect in heat controlling than the fabrics used for glass curtains. 2) It did not show much differences among the fibers in heat controlling. The thicker fibers, however, had the higher effect in heat controlling among same fibers. 3) The fabrics which had high level of effect I heat controlling were corduroy, flax, rayon, nylon, acetate, thick polyester, and thick polyacrylic. The fabrics which had midium level of affect in heat controlling were velveteen, velvet, and thin polyester. The fabrics which had low level of effect in heat controlling were cotton, silk, and thin polyarcylic. 4) The draperies with lining showed 2∼5 times more effective in heat controlling than the draperies without lining. 2. The results of the exploratory survey Consumer perceptions towards curtains and draperies consisted of functional, financial, and aesthetic perception. 1) Factor affecting functional perception towards curtains and draperies was the stage of family life cycle. Families in the contracting stage considered function of curtains and draperies significantly better than those in others stages. 2) Factors affecting financial perception towards curtains and draperies were the economic status, homemaker's level of education, the direction of windows, and the type of windows. However the correlation between the factors and financial perception was too low to explain the significance of tendency. 3) There was not any factors affecting aesthetic perception towards curtains and draperies.

• Management & Information Systems Review
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• v.26
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• pp.27-60
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• 2008

Researches on the introduction of ERP system kept on examining the critical successful factors (CSFs) that focus on factors to achieve effectively successful projects, and trying to measuring the actual effectiveness of the introduction of ERP system. However, most of the preceding researches on the effectiveness of the introduction of ERP system that was searching devoted effects has been ceased, and actually even researches on the economical results have just done the basic cognitive evaluation of result indicators by many questionnaires instead of objective measuring values, because of the difficulty of measuring the evaluation of the result. Moreover, researches on positive effects of the introduction of ERP on enterprise results and researches that failed to give advantageous effects showed different results each other. And a part of researches reported that only a part of result indicators were partially affected. In this research, we investigated Korean large enterprises or middle-sized enterprises in manufacture industry that introduces SAP R/3 and Oracle package to compare their quantitative financial results after the introduction of ERP system, in order to measure the effects of the ERP system. First, we evaluated the difference of the quantitative financial results before and after the introduction of the ERP system. Second, we evaluated the opportunities shown by the effects after the introduction of the ERP system. Third, we removed the sample of the exchange crisis (IMF) and executed the additional analysis to reflect the average increasing and decreasing rate in the industry, so that pure evaluation can be achieved. Inherent limits of precedent researches are removed and practical effects of the pure introduction of the ERP system are evaluated, so the research of this research is significant. The result of this research is as follows. Because of the introduction of ERP, the rate of turnover of inventory property has increased and sales of preparation inventory property have decreased so that more effective inventory property management has been achieved. Moreover, preparation sales of labor costs and preparation sales of the number of employees have decreased to show the effect of the reduction of labor costs. However, it could no be concluded that we could increase the profit due to the introduction of ERP system. Due to the introduction of ERP, although we concluded that the return on assets (ROA) and the additional value of one-person employee statistically showed obvious differences and increased, the return on equity failed to show obvious differences after the process of introduction of ERP.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.131-138
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• 2014

Management consulting by a bank is expected to have a win-win relationship to the mutual development of the banks and client firms. Previous studies also claimed that consulting had a positive impact on the competitiveness and business performance of the firms. Nevertheless, few empirical studies were found to analyze the relationship and explain the result whether consulting had really enhanced the competitiveness and performance of the businesses after consulting. The present paper has empirically analyzed the impact of a management consulting by a bank on the business performance of the client firms and on the contribution to the bank. In terms of client firms, the financial results of the client companies such as stability, profitability and growth potential were compared before and after the consulting; in terms of the bank, the changes in the last three-month average outstanding of deposits and loans were measured and verified in order to measure the contribution of the client firms to bank. A significant effect was confirmed in this study of the consulting on the client firms' the debt ratio-an item of financial stability and sales growth-an item of the growth potential.

• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.13-21
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• 2016

Insolvency of construction companies that play the role of main contractors can lead to clients' losses due to non-fulfillment of construction contracts, and it can have negative effects on the financial soundness of construction companies and suppliers. The construction industry has the cash flow financial characteristic of receiving a project and getting payment based on the progress of the construction. As such, insolvency during project progress can lead to financial losses, which is why the prediction of construction companies is so important. The prediction of insolvency of Korean construction companies are often made through the KMV model from the KMV (Kealhofer McQuown and Vasicek) Company developed in the U.S. during the early 90s, but this model is insufficient in predicting construction companies because it was developed based on credit risk assessment of general companies and banks. In addition, the predictive performance of KMV value's insolvency probability is continuously being questioned due to lack of number of analyzed companies and data. Therefore, in order to resolve such issues, the Bayesian Probabilistic Approach is to be combined with the existing insolvency predictive probability model. This is because if the Prior Probability of Bayesian statistics can be appropriately predicted, reliable Posterior Probability can be predicted through ensured conditionality on the evidence despite the lack of data. Thus, this study is to measure the Expected Default Frequency (EDF) by utilizing the Bayesian Probabilistic Approach with the existing insolvency predictive probability model and predict the accuracy by comparing the result with the EDF of the existing model.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.339-347
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• 2013

Recently, Korean medium-sized medical organizations require innovative strategies. Network-driven concerns in Korean medical organization have been a front burner issue to enhance economic and managerial efficiencies. Effective network-driven collaboration depends upon effective processes and economics strategies among medical providers group. From this motivation, we studied and provided the systems' theoretical background and networked hospital system structures. The aim of suggested research model in this paper is to overcome demerit of stand-alone medium-sized hospitals and analyze a system dynamics model to measure managerial performances. The developed system dynamics model is to quantify the effects of network strategy based on the historical financial data of real-life hospitals network experiences. The network effects are resulted in efficiencies and effectiveness enhancements in competitiveness through advertisement and effective education system. The simulations of system dynamics results can explain the improvement in financial outcome by joining in the network group. The network effects are shown more effective in dental hospital than other groups. In conclusion, it is expected that network effects have a critical influence of managerial, marketing, and medical collaboration performance for any type of medical hospitals.

• Journal of the Korea Society of Computer and Information
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• v.21 no.6
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• pp.9-19
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• 2016

In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.

• Journal of Distribution Science
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• v.13 no.1
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• pp.93-103
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• 2015

Purpose - This study plans to adopt a more sophisticated approach toward service recognition by customers in general supermarkets in order to revise the service quality measurement methods that suit the context of Korean distribution channels. In particular, in general supermarkets, where much of the shopping process is in the form of self-service, there is high reliance on the service recognized by the consumers; therefore, it is highly likely that consumers would make their purchasing decisions based on their recognition of service quality or guarantees. It also utilized service quality elements of a basic level in the KD-SQS development model in order to indicate that the quality recognized by consumers impacts their loyalty to the stores with financial value and abstract value. Research design, data, and methodology - The study suggested a theoretical model comprising 13 hypotheses on relations between theoretic variables, and conducted surveys with consumers using discount stores in Seoul and Gyunggi Metropolitan area in order to verify the hypotheses, while using SPSS 20.0, AMOS 21.0 as the verification program. The survey sheets used amounted to 332, and a structural equation model was used to analyze the reliability and validity of constituent elements and to verify the suggested hypothesis. Therefore, this study analyzes the interrelations between service quality and guarantee factors in the distribution channel and their relations with the loyalty to stores as a dependent variable. Results - First, the results of the hypotheses tests helped identify the relations between service quality, service guarantees, service value, and customer loyalty, providing an opportunity to define the relations between constituent elements. In particular, service convenience in service quality has no impact on financial values. Further, stores' service policy had no impact on abstract values. Service recognition by service convenience has an impact on abstract values such as good image, comfort, and usability, while mileage systems promote financial values for consumers. In order to improve consumer values in service quality and values, general supermarkets should improve their service convenience, membership, and mileage programs using various strategies. Conclusion - In order to improve consumer values in service quality and values, general supermarkets should improve their service convenience, membership, and mileage programs using various strategies. Further, as service guarantee systems have a significant and direct impact on customer loyalty, rather than customer value recognition, service guarantees should be used to encourage customers to re-visit the stores. Finally, this study applied the findings of preceding studies in terms of service quality measurement; it had limitations in referencing preceding studies in a comprehensive manner. It also had limits in expanding upon various preceding studies because it was difficult to apply new measurement tools due to the lack of service quality measurement tools for general supermarkets. Therefore, it is necessary to conduct more studies on service quality to measure service quality and develop measurement tools by incorporating various industry characteristics.