• The Journal of Fisheries Business Administration
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• v.33 no.2
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• pp.99-125
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• 2002

Fisheries cooperative requires dual characteristics in performing its original function. Economic characteristic as an business enterprise and democratic characteristic as cooperative entity need to complete its objectives and survive in the complex rapidly-changing environment. After IMF crisis, fisheries cooperative received enormous government's financial support and credit-business department is perfectly under government's control. Regional fisheries cooperative also faces business failure, therefore pure cooperative movement can't save the fisheries cooperative. Economic characteristic as an business enterprise is more emphasized than democratic characteristic as cooperative entity in recent years. The theory of corporate ownership and governance can be applied to explain the ownership and governance of fisheries cooperative because fisheries cooperative is now similar to an business enterprise. During the IMF crisis the board, the auditors and the minority shareholders in business enterprise were revealed to be powerless against the mighty influence of controlling shareholders. Unconstrained discretion exercised by those controlling shareholders not only led to the firms'insolvency, but also brought down the country's financial system. During the past few years, Korea has experienced many institutional changes regarding its corporate governance structure. The introduction of outside directors, the strengthening of minority shareholders' rights, and enhanced accounting transparency are achieved to improve the efficiency of economic system. Investors, including institutional and individual, also seem to be more aware of governance issues now. Credit-business department of fisheries cooperative is recommended to introduce the institutions same as the case of the corporate governance structure. Fisheries cooperative except economic and credit-business department requires other prescriptions because it is emphasized as democratic cooperative entity. But we should be careful to interpret the ownership and governance structure because they are products of nations, eras and organizations.

• Korean Business Review
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• v.14
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• pp.149-168
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• 2001

Service firms have always been relationship oriented. the nature of service businesses is relationship based. As service finns, like banks, insurance finns, have grown, The masses of consumers have made the establishment of true relationships more difficult. Understanding the motivations of consumers to engage in relationships with marketers is important for both practitioners and marketing scholars. To develop an effective theory of relationship marketing, It is necessary to understand what motives consumers to reduce their available market choices. This article focuses on the development of the successful relationship strategies in domestic banks. The results of this study show the four types of relationship strategies - social bonds, structural bonds, financial bonds, and other bonds. Although the effectiveness of these strategies differs as the types of performances, All four types of relationship strategies are essential for building and maintaining relationships with customers. Totally, the order of influences on the performance is as follows; financial bonds, structural bonds, and social bonds.

• Culinary science and hospitality research
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• v.17 no.5
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• pp.139-153
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• 2011

The study is a hotel firm's brand evidence on the switching and relational performance by identifying a causal relationship to the differentiated and competitive was to provide useful information. Units of samples for evidence of brand switching hotels in Seoul participated in surveys customers in 2011, from June 10 to 20 July 2011 for a total of 500 copies for distribution and the Department of dual 408 with SPSS 18.0 and AMOS 18.0 Using factor analysis and reliability verification carried out, and presented research in order to test the hypothesis covariance structure analysis was performed. Analysis, employee services switching barriers and switching costs showed no significant affect. Switching barriers and switching costs, brand name, image congruence transition castle wall and switching costs, alternative attractiveness showed no significant visible results. And perceived price on switching barriers to conversion rates showed was significant affect. Second, switching barriers, switching costs, alternative attractiveness and that the relationship, to help conversion of non-financial performance showed no significant affect. Third, the practitioner services, brand names, images, match the castle there, and non-financial performance of the transition showing a statistically significant result was found.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.131-141
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• 2019

Recently the business environment surrounding the financial investment industry is changing rapidly, and the demands of customers (diversity and the cycle of change etc.) are getting shorter. In this context, it can be said that companies are forced to adopt an agile management environment. In particular, non-face-to-face channels, including MTS, is adopting the agile system into the digital finance sector from a company-wide and strategic perspective. This study analyzed the effects of MTS services' environment quality on customer satisfaction and continuous intention to use for MTS users who are rapidly increasing under the agile management environment in the financial investment industry. This study surveyed the quality of service environment (accessibility, convenience, design, security), customer satisfaction, and continuous intention to use for 350 MTS users. First, accessibility, convenience, and security of MTS service environment quality had a positive effect on customer satisfaction, and design was rejected Second, customer satisfaction has a positive effect on continuous intention to use. Third, convenience and security of MTS service environment quality have positive effects on continuous intention to use, and accessibility and design were rejected. The results of this study, together with demographic analysis, are expected to provide useful implications for MTS activation studies and securities firms' strategies.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.287-295
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• 2019

This study was conducted to analyze firm survival rate and impact factors of survival of Foreign-invested Companies in Korea which is between 2006 and 2017. An empirical analysis of the survival factors of firms used explanatory variables such as characteristics of the and 3 firm dummy and 2 firm factors, financial variables of 3 profitability and 3 stability factors. The Kaplan-Meier method was chosen to perform analyses on the survival rates, Cox Proportional Hazard Model took to conduct on the impact factors. As a result of the impact factors of Foreign-invested Companies survival, Ownership (OS), Labour (NE ) of characteristics of the firm had positive effects. The Gross Sales Profit (GSP), Net Profit (NP ) and Operating Profit (OP ) of the financial characteristics had a positive effect. Additional Asset (LA ) had positive effects and Capital (LC), Debt (LB ) had a negative effect. Other factors did not produce significant results.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.692-700
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• 2022

This study was conducted to analyze firms' death rate and impact factors on the death of Foreign-invested Companies in Korea which is between 20013 and 2017. Cox Proportional Hazard Model took to conduct on the death impact factors, such as 2 characteristics factors of the firm, and 4 financial characteristics variables, variables, and 4 profitability factors. As a result of the impact factors of Foreign-invested Companies' death the Labour(NE) variables of characteristics firm had negative effects. And the Debt(LB), Operating Profit (OP), and Sales Profit (SP) of the financial characteristics had a negative effect. Other factors did not produce significant results. As a result of an empirically comparative analysis of the mortality rate of foreign-invested companies by the Kaplan-Meier method, it was analyzed that fully owned companies and large enterprises had lower extinction risk and greater sustainable management potential than joint ventures or SMEs.

• Journal of Korea Trade
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• v.24 no.8
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• pp.121-132
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• 2020

Purpose - The principle aim of this study is to further investigate the relationship between market diversity and export performance. We examine the benefits and costs of geographic market diversity regarding the number of countries exported to by firms on their export performance. Based on the financial risk reduction model and the entry costs model, we propose a way to incorporate the costs and benefits aspects of market diversity. Design/methodology - To empirically investigate our research question, the curvilinear relationship between market diversity and export performance, we built a secondary panel data set between 2015 and 2019, containing 17,863 observations of Korean exporting companies. A generalized least squares panel estimator with fixed effects was employed to test the hypothesis, and the statistical package, Stata 14, was used. Findings - Our main findings are as follows: As market diversity increases, export performance increases because exporters can diversify and reduce financial risks in export markets. However, the relationship between the two does not grow. As it peaks, the entry costs increase due to the high market diversity, thereby outweighing the benefits, leading, eventually to decrease in the export performance. Consequently, there is an inverted U-shaped relationship between market diversity and export performance. Originality/value - In the export and trade literature, the impact of market diversity on export performance has not been addressed yet, despite the importance of this subject. Many scholars have assumed a positive linear relationship between the two, considering only the decrease in market risks as the number of overseas markets increases, without examining the increase in the entry and management costs. Therefore, our study contributes by providing a new perspective for analyzing the characteristics and outcomes of market diversity.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.149-169
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• 2023

Purpose - The main purpose of this study is to develop the stress test model for Korean banks by exploring the optimal Monte Carlo simulation and BIS forecasting model. Design/methodology/approach - This study selects 15 Korean banks as sample financial firms and collects relevant 76 quarterly data for the period between year 2000 and 2018 from KRX(Korea Excange), Bank of Korea, and FnGuide. The Regression analysis, Unit-root test, and Monte Carlo simulation are hired to analyze the data. Findings - First, most of the sample banks failed to keep 8% BIS ratio for the adverse and severely Adverse Scenarios, implying that Korean banks must make every effort to realize better BIS ratios under adverse market conditions. Second, we suggest the better Monte Carlo simulation model for the Korean banks by finding that the more appropriate volatility should be different depending on variables rather than simple two-sigma which has been used in the previous studies. Third, we find that the stepwise regression model is better fitted than simple regression model in forecasting macro-economic variables for the BIS variables. Fourth, we find that, for the more robust and significant statistical results in designing stress tests, Korean banks are required to construct more valid time-series and cross-sectional data-base. Research implications or Originality - The above results all together show that the optimal volatility in designing optimal Monte Carlo simulation varies depending on the country, and many Korean banks fail to pass sress test under the adverse and severely adverse scenarios, implying that Korean banks need to make improvement in the BIS ratio.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• KDI Journal of Economic Policy
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• v.12 no.2
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• pp.95-120
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• 1990

The underpricing of new shares of a firm that are offered to the public for the first time (initial offerings) is well known and has puzzled financial economists for a long time since it seems at odds with the optimal behavior of the owners of issuing firms. Past attempts by financial economists to explain this phenomenon have not been successful in the sense that the explanations given by them are either inconsistent with the equilibrium theory or implausible. Approaches by such authors as Welch or Allen and Faulhaber are no exceptions. In this paper, we develop a signalling model of capital investment to explain the underpricing phenomenon and also analyze the efficiency of investment. The model focuses on the information asymmetry between the owners of issuing firms and general investors. We consider a firm that has been owned and operated by a single owner and that has a profitable project but has no capital to develop it. The profit from the project depends on the capital invested in the project as well as a profitability parameter. The model also assumes that the financial market is represented by a single investor who maximizes the expected wealth. The owner has superior information as to the value of the firm to investors in the sense that it knows the true value of the parameter while investors have only a probability distribution about the parameter. The owner offers the representative investor a fraction of the ownership of the firm in return for a certain amount of investment in the firm. This offer condition is equivalent to the usual offer condition consisting of the number of issues to sell and the unit price of a share. Thus, the model is a signalling game. Using Kreps' criterion as the solution concept, we obtained an essentially unique separating equilibrium offer condition. Analysis of this separating equilibrium shows that the owner of the firm with high profitability chooses an offer condition that raises an amount of capital that is short of the amount that maximizes the potential profit from the project. It also reveals that the fraction of the ownership of the firm that the representative investor receives from the owner of the highly profitable firm in return for its investment has a value that exceeds the investment. In other words, the initial offering in the model is underpriced when the profitability of the firm is high. The source of underpricing and underinvestment is the signalling activity by the owner of the highly profitable firm who attempts to convince investors that his firm has a highly profitable project by choosing an offer condition that cannot be imitated by the owner of a firm with low profitability. Thus, we obtained two main results. First, underpricing is a result of a signalling activity by the owner of a firm with high profitability when there exists information asymmetry between the owner of the issuing firm and investors. Second, such information asymmetry also leads to underinvestment in a highly profitable project. Those results clearly show the underpricing entails underinvestment and that information asymmetry leads to a social cost as well as a private cost. The above results are quite general in the sense that they are based upon a neoclassical profit function and full rationality of economic agents. We believe that the results of this paper can be used as a basis for further research on the capital investment process. For instance, one can view the results of this paper as a subgame equilibrium in a larger game in which a firm chooses among diverse ways to raise capital. In addition, the method used in this paper can be used in analyzing a wide range of problems arising from information asymmetry that the Korean financial market faces.