• Asia-Pacific Journal of Business
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• v.5 no.2
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• pp.51-64
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• 2014

Strategic bundling of Human Resource Management (HRM) practices among themselves works together as an entire HRM system rather than individual HRM practices to achieve organizational objectives. The bundles of HR practices support the effectiveness of one another assuming the effectiveness of any practice depends on other practices in place. It is said that the greater the total degree of bundling among the various components of HRM policies and practices, the more will be the organizational outcomes. Realizing these facts, this study aimed to explore the level of strategic bundling and examined the impact of such bundling on organizational performance to the publicly listed companies of Nepal. This empirical study is based on description and exploratory design for which data collected through the questionnaire based on 5-point liker scale. Total population of the study at the time of data collection are 234 organizations publicly listed in Stock Exchange of Nepal. Questionnaire is distributed to all organizations listed, response received from 105 organizations, as a unit of analysis, which is fairly good response. The study of strategic bundling of HRM practices perhaps the first study in Nepal, found that only 32 percent organizations have followed high bundling HR practices and these high bundling organizations are significantly different with low bundling organizations. Business organizations are trying to practice being close association of HRM policies and practices within them except labor relation with employee participation and business strategies. Supporting to the international literature, strategic bundling of HRM practices among themselves shows statistically significant effects on quality of product or services, labor productivity, financial performance, employee satisfaction, rate of innovation, employee commitment and market share.

• Journal of the Korea Society of Computer and Information
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• v.4 no.4
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• pp.244-250
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• 1999

This study aimed to analyze the effect of the change in CP class of a firm on the abnormal yield of its stock price. As a result, it was found that the change in CP class of a firm had an effect on the abnormal yield. That is. the abnormal yield rose when the class of CP rose while it dropped when the class of CP dropped. And it was analyzed that the class of CP in the firm in which its current net gain was great while it dropped in the firm in which the current net gain was small. And it was found that the CP class of the firm with the high debt to equity ratio rose when the CP class of the firm changed, whereas it rose in the firm with the low debt to equity ratio. But it was found that the size of majority shareholders equity rate in a firm, the size of corporate value of the firm, the size of cash flow of the firm and the size of the burden of financial costs of the firm were not related to the abnormal yield of its stock price. This study has its significance in analyzing the effect of the information on the change in CP class of the firm on the capital market. But it has its limitations in the sample firm and the selection of the point in time of disclosure.

• Journal of Korea Port Economic Association
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• v.35 no.4
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• pp.31-50
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• 2019

The retail industry has been coping with changes in the retail market environment for the past decade or so. Using a total of 14 companies, this study aims to reveal the effect of differences in sales channels and retail business styles on the management performance of retail companies. The financial statements of these companies were used to analyze the five key indicators of their management performance. As research variables, sales channels, retail business style and business period were used as factors affecting their management performance. ANOVA or MANOVA was performed to test differences in management performance between groups according to the number of factors. The effect of three factors on the management performance of retail companies was found to be significant. The multi-comparison test revealed significant differences among retail business styles in terms of the five key indicators. TV home-shopping performed better than others in terms of stability and profitability. Internet and mobile shopping companies performed poorly in terms of profitability compared to others and performed higher than department stores in terms of growth, activity, and productivity.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.199-208
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• 2017

This study investigates the components and rating system of reliable technology credit information for a technology finance donor who is a consumer of the information and aims to create an effective and optimal technology credit appraisal system to enlarge technology finance supply. Firstly, we calculate the optimal TCAR which becomes the maximum AUROC through the combination of ratio change, verify the substitution possibility between TAR and CR through the existing CR and system gap simulation, and propose a rating system by which financial institutes can utilize the TCAR as a credit rating. As a result, 70% : 30% is the most suitable as the weighted combination ratio of credit rating : technology rating. As a result of this study, we confirmed the possibility that the technical credit rating information could be substituted by the credit rating or the technology appraisal rating. Furthermore, it also suggests that sophisticated risk management is possible through using technology credit rating that are combined with credit and technology appraisal rating.

• The Research Journal of the Costume Culture
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• v.17 no.4
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• pp.616-625
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• 2009

With suffering financial crisis in 1997, Korea's fashion market has grown in the direction that satisfies the reasonable price and diverse consumer's sensitivity and needs. The aim of this study is to examine whether the cutting portion in the waist line is surely necessary for designing the jacket pattern in men's wear, by closely examining the effects of the cutting portion in the waist line on the external appearance and functionality given designing the jacket pattern in men's wear for the standard body type in 20s. The results of the study are as follows. As a result of evaluating the external appearance, when having evaluated by dividing into 14 items such as the whole surface, the side, and the back side, the experimental clothing, which wasn't cut the waist line, obtained the highest mark in 13 items and, the significant difference was indicated in 10 items except 4 items. As a result of evaluating performance, the experimental clothing, which wasn't cut the waist line, obtained the highest mark in 13 items among 25 items in the total. Next, the cutting portion in the waist line obtained the highest mark in 10 items for the experimental clothing with opening in 1.0cm. The next was indicated to be in order of the experimental clothing with 1.5cm and the experimental clothing with 0.5cm. Given seeing the above result, the cutting portion in the waist line given designing the jacket pattern for the standard body type in 20s could be known that the experimental clothing with the most excellent mark in the evaluation of performance was all the experimental clothing with 0.0cm whose waist line wasn't cut.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.111-126
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• 2017

Korea came to see its first internet bank as 'K bank' obtained the digital-only banking license in December 2016. This paper suggests ways to foster internet banks of Korea in their early stage by analyzing the successful cases of overseas internet banks. The followings are the key success factors identified from those cases across Europe, Japan, China, and USA: Support from the related government authorities; Stable governance structure; Distinct business capabilities based on information & communications technology(ICT). These points lead to the following implications for Korean internet banks. Regulatory restrictions on owning and running internet banks should be lifted to facilitate innovation. Policies to support internet bank industry should be introduced as it is a vital part of the 4th industrial revolution. Finally, internet banks should strive to differentiate themselves by utilizing their ICT capabilities. Subjects of the further research hereafter should include the following: Analyzing the ongoing performance and developments of digital banks in Korea; Deriving success factors from the analysis; Assessing the influence and effects on financial market and economic environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.55-66
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• 2017

Korean small and medium sized software companies have tried to export their solutions or services to overseas markets. In 2016, exports of the software industry increased by 6.0% from the previous year, and the value added of the industry was 2.2 times higher than that of the manufacturing industry. From a long-term perspective, it is important to secure a global competitive advantage in order to sustain the export high value-added of the software industry. The obstacles to entry into the overseas market of small to medium enterprises are as follows: first, difficulty in product development and localization of marketing; second, lack of investment for overseas expansion; and finally, competitiveness of software technology. In particular, To overcome such obstacles, Korean small and medium sized software companies should increase the technical perfection and secure software export competitiveness. The paper presents a payment settlement framework enabling adaptive reuse and semiautomatic development of global payment settlement services. The quantitative and qualitative evaluation results are presented with domestic and overseas case studies as follows: Firstly, semi-automatic development is realized successfully by applying the framework. Secondly, it is possible to maintain consistent quality of software and to deliver maintenance services without relying on the internal human resources. Thirdly, it is possible to reduce the project duration of the same development cope to less than 50% by applying the framework. Finally, because it is based on BPMN 2.0, which is a high level design diagram, it is expected that it will be easy to implement through components connection and reduce difficulties in technology transfer and localization. Also, at the time of runtime operation, it will be effective to understand the design idea easily and to carry out additional developments without human resource who participated in the initial project.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.161-170
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• 2013

The FX (Foreign Exchange) is a form of exchange for the global decentralized trading of international currencies. The simple sense of Forex is simultaneous purchase and sale of the currency or the exchange of one country's currency for other countries'. We can find the consistent rules of trading by comparing the gradient boosting method and the decision trees methods. Methods such as time series analysis used for the prediction of financial markets have advantage of the long-term forecasting model. On the other hand, it is difficult to reflect the rapidly changing price fluctuations in the short term. Therefore, in this study, gradient boosting method and decision tree method are applied to analyze the short-term data in order to make the rules for the revenue structure of the FX market and evaluated the stability and the prediction of the model.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.85-94
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• 2013

As the financial market becomes larger, the loss increases due to the failure of the credit risk managements from the poor management of the customer information or poor decision-making. Thus, the credit risk management also becomes more important and it is essential to develop a credit scoring model, which is a fundamental tool used to minimize the credit risk. Credit scoring models have been studied and developed only for binary target variables. In this paper, we consider other types of target variables such as ordinal multinomial data or longitudinal binary data and suggest credit scoring models. We then apply our developed models to real data and random data, and investigate their performance through Kolmogorov-Smirnov statistic.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.723-736
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• 2013

The importance of lapse rate is highly increasing due to the introduction of Cash Flow Pricing system, non-refund-of-reserve insurance policy, and IFRS (International Financial Reporting System) to the Korean insurance market. Researches on lapse rate have mainly focused on simple data analysis and regression analysis, etc. However, lapse rate can be analyzed by survival analysis and can be well explained in terms of several covariates with Cox proportional hazard model. Guaranteed minimum benefits embedded in variable annuities require more elegant statistical analysis of lapse rate. Hence, this paper analyzes data of policyholders with variable annuities by using Cox proportional hazard model. The key variables of policy holder that influences the lapse rate are payment method, premium, lapse insured to term insured, reserve-GMXB ratio, and age.