• Journal of Auto-vehicle Safety Association
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• v.13 no.3
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• pp.69-77
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• 2021

Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

• Korea Trade Review
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• v.44 no.6
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• pp.39-54
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• 2019

Trade finance promotes export performance, and every small- and medium-sized export business has the right to use policy finance. The credit line is also stipulated by relevant laws and regulations. However, trade finance has repeatedly been misused, so these matters can lead to substantial financial loss and damage to the related financial institutions. The lack of expertise of K-SURE and the backwardness of banks represent even bigger problems in the follow-up management. The existing trade finance system should be improved in the following ways from the institutional and legal perspectives. Firstly, follow-up management of beneficiary companies should be reinforced and systematized through examining business tendencies, financial status, and other important factors. There is also a need for advancement of following up management. An effective and streamlined financing system must be established by abolishing the Korea Trade Insurance Corporation. This study presents improvements and their implications by looking into the main issues under the current trade finance system. This study is based on documentary research and practical cases.

• The Journal of Economics, Marketing and Management
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• v.8 no.2
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• pp.19-26
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• 2020

Purpose: The goal of this study is to comprehensively grasp the current status of ecommerce and to use as basic data for information-related policies. In this work, we understand recent ecommerce utilization, purchasing business by main factors, and look over the association between business type on sales orders (BTSO) and three variables: region, occupation and group type. Research design, data and methodology: The resource of this research is obtained by Ministry of Science and Technology Information and Communication in 2017, and investigated about 14,000 national business samples. Two statistical methods are used to analyze the association between the three variables: chi-square test and correspondence analysis. Results: The findings show that BTSO is pairwise associated with thee categorical variables, and the association between the categories of the two variables can be visually examined on two dimensional plane. Conclusions: This study suggests 'household & individual consumers' among BTSO are closely connected with 'Chungbuk' and 'Kyungnam' for region, 'others', 'finance & insurance' and 'association, repairing & other personal service' for occupation, and 'national & local government' for group type. Additionally, 'other companies' among BTSO are, particularly, related to 'Chunnam' for region, 'manufacturing industry' for occupation, and 'company corporations' for group type.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.7-14
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• 2021

This paper examines the impact of foreign ownership on stock price volatility in an emerging market, namely, Thailand. The data were obtained from SETSMART, the database of the Stock Exchange of Thailand (SET). After removing financial firms, banks, and insurance companies as well as filtering outliers, the final sample covers 1,755 firm-year observations from 371 nonfinancial firms listed on the SET over the five-year period from 2014 to 2018. The regression model consists of stock price volatility, measured by two methods, as the dependent variable, foreign ownership as the main independent variable, and firm characteristics including firm size, leverage, market-to book ratio, and stock turnover as the control variables. The pooled OLS, fixed effects, and random effects estimations are employed to examine the relationship between foreign ownership and stock price volatility. The results reveal that foreign ownership has a negative and significant impact on stock price volatility. The two-stage least squares (2SLS) are also performed to address potential endogeneity problem. The results still indicate a negative relationship between foreign ownership and stock price volatility. Taken together, the findings of this study suggest that foreign investors help reduce stock price volatility and thus stabilize share price in the Thai stock market.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.37-51
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• 2015

Due to the development of internet technology and the rapid increase of internet data, various studies are actively conducted on how to use and analyze internet data for various purposes. In particular, in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of the current application of structured data. Especially, there are various studies on sentimental analysis to score opinions based on the distribution of polarity such as positivity or negativity of vocabularies or sentences of the texts in documents. As a part of such studies, this study tries to predict ups and downs of stock prices of companies by performing sentimental analysis on news contexts of the particular companies in the Internet. A variety of news on companies is produced online by different economic agents, and it is diffused quickly and accessed easily in the Internet. So, based on inefficient market hypothesis, we can expect that news information of an individual company can be used to predict the fluctuations of stock prices of the company if we apply proper data analysis techniques. However, as the areas of corporate management activity are different, an analysis considering characteristics of each company is required in the analysis of text data based on machine-learning. In addition, since the news including positive or negative information on certain companies have various impacts on other companies or industry fields, an analysis for the prediction of the stock price of each company is necessary. Therefore, this study attempted to predict changes in the stock prices of the individual companies that applied a sentimental analysis of the online news data. Accordingly, this study chose top company in KOSPI 200 as the subjects of the analysis, and collected and analyzed online news data by each company produced for two years on a representative domestic search portal service, Naver. In addition, considering the differences in the meanings of vocabularies for each of the certain economic subjects, it aims to improve performance by building up a lexicon for each individual company and applying that to an analysis. As a result of the analysis, the accuracy of the prediction by each company are different, and the prediction accurate rate turned out to be 56% on average. Comparing the accuracy of the prediction of stock prices on industry sectors, 'energy/chemical', 'consumer goods for living' and 'consumer discretionary' showed a relatively higher accuracy of the prediction of stock prices than other industries, while it was found that the sectors such as 'information technology' and 'shipbuilding/transportation' industry had lower accuracy of prediction. The number of the representative companies in each industry collected was five each, so it is somewhat difficult to generalize, but it could be confirmed that there was a difference in the accuracy of the prediction of stock prices depending on industry sectors. In addition, at the individual company level, the companies such as 'Kangwon Land', 'KT & G' and 'SK Innovation' showed a relatively higher prediction accuracy as compared to other companies, while it showed that the companies such as 'Young Poong', 'LG', 'Samsung Life Insurance', and 'Doosan' had a low prediction accuracy of less than 50%. In this paper, we performed an analysis of the share price performance relative to the prediction of individual companies through the vocabulary of pre-built company to take advantage of the online news information. In this paper, we aim to improve performance of the stock prices prediction, applying online news information, through the stock price prediction of individual companies. Based on this, in the future, it will be possible to find ways to increase the stock price prediction accuracy by complementing the problem of unnecessary words that are added to the sentiment dictionary.

• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.371-393
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• 2013

The objective of this article is to compare the characteristics and the origin of Welfare State in Korea and France. This study also finds out the causes of underdevelopment of Welfare State in Korea. In the third Republic of France, the first Industrial Accident Compensation Law was legislated in 1898. The discussion of the project of Law commenced in 1880. The Parliamentary Debate on the legislation of the Law had continued for 18 years. The leaders of the debate was the group of progressive Republicans(Radicals) in the French Parliament. In Korea, it was also in the period of the third Repulic, the President and several members of the Supreme Committee of National Reconstruction (Guk-Ga-Jai-Gun-Choi-Go-Ho-Eui), the authoritative military government who enacted and developed the Social Insurance Law of Industrial Accident Compensation, the first Law of Welfare State in Korea. However, Korea and France show more differences than similarities in the terms of the origin of the Welfare State. The motivations and goals of social policies of the two countries were quite different at the beginning stage. In France, the progressive Republicans of Parliament made welfare state policies in order to maintain the politico-social hegemony and social peace by provision of economic supports to workers. In Korea, the group of military officers had begun the welfare legislation in order to win the general election and obtain political power in 1963. Comparison on the origins of the welfare states in the two countries shows similarities as well as differences in terms of the role of actors. In France, the state and the owners of big enterprises had agreed and played positive roles in the legislation of the welfare state policies. However, the owners of small companies, merchants and farmers had played negative roles. Like the French case, Korean government and owners of big enterprises had played positive roles. The state as a major actor of the legislation of the social insurance programs in the two countries are slightly different. In Korea, the owners of small companies had played negative roles in making of medical insurance programs in 1976. Comparison of the current state of two welfare states shows substantial differences in terms of the development of the welfare state. What is the reason for such differences? Why does Korean Welfare State underdevelop? Historically, the developmentalism as an major ideology of the third Republic of Korea has continually influenced the underdevelopment of the Welfare State. It implies that Koreans have to invent a new ideology of Welfare State which can replace the developmentalism and support the development of Welfare State in the future. Without such a new ideology, it is very difficult to develop an european style welfare state in Korea.

• Information Systems Review
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• v.23 no.1
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• pp.93-113
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• 2021

Service orientation and customer orientation are recognized as important success factors in service companies. However, these constructs are evaluated through self-diagnosis within the service company based on service delivery experience. For this reason, Fintech companies that provide financial services based on non-face-to-face channels such as mobile APP have limitations in evaluating their service orientation and customer orientation. Therefore, in this study, the perceived customer orientation is conceptualized so that service orientation and customer orientation can be evaluated through customer evaluation. In addition, the antecedents and consequences of the perceived customer orientation based on the technology acceptance model were demonstrated. As a result, it was confirmed the mediating effect of perceived customer orientation in the relationship between perceived ease of use and usefulness and customer's continuous use intention and word of mouth intention. This study laid the foundation for the Fintech companies that provide all financial services throughout non-face-to-face to measure their service orientation and customer orientation through customer evaluation and utilize them in establishing service operation strategies.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.4
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• pp.438-457
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• 2019

The main purpose of this paper is to identify the entry types and locational determinants of North Korean workers in cross-border regions between North Korea and China. More specifically, the paper has attempted to divide the entry type of them in the regions into two; 1) entry via transactions between Chinese traders with North Korea and North Korea trade companies, and 2) entry via transactions between Korean-Chinese middlemen and North Korean trade companies. Also, it has analyzed main factors of their locational determinants in the spatial contexts of the regions. There have been changes in two perspectives in terms of the entry paths and types of them in accordance with the transformation of characteristics of United Nations sanction against North Korea from 'call-upon' to 'decide' after UN Security Council Resolution 2094 in 2013. Firstly, main agents who have dealing with North Korean trade companies which have right to dispatch North Korean workers have been changed from Chinese traders into Korean-Chinese brokers who are specialized in the introduction of North Korean workers with one-stop service from visa administrative to labor managements. Secondly, there has been a transfer of North Korean workers in the regions from formal to informal workers who has been admitted into China with a short stay or a tourist visa, and then remained illegally to be employed in China. Therefore, as demands on service which is able to guarantee the security of North Korean informal workers and their managements have increased, Korean-Chinese brokers have been stimulated in the regions after the operation of real international sanctions against overseas North Korean workers. In addition, the main factors of their locational determinants in cross-border regions between North Korea and China are could be analyzed in three perspectives; 1) an increase in real wages in accordance with the reform of the Chinese social insurance system after 2011, 2) the structural vulnerability of labor markets in the regions, 3) the utilization of stable and manageable workers.

• Journal of the Korea Institute of Building Construction
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• v.15 no.5
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• pp.515-525
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• 2015

Currently, according to the climate change, serious damage by typhoon has been occurred in the world. In this respect, the research on the prediction model to minimize the damage from various natural disaster has been conducted in several developed countries. In the case of U.S, various models to predict building damage costs have been used widely in many organizations such as insurance companies and governments. In South Korea, although studies regarding damage prediction model according to typhoon have been conducted, the scope has been only limited to consider the property of typhoon. However, it is necessary to consider various factors such as typhoon information, geography, construction environment, and socio-economy factors to predict the damages. Therefore, to address this issue, first, correlation analysis is conducted between various variables based on the data of typhoon from 2003 to 2012. Second, the damage prediction model by using regression analysis is developed based on suggested influence factors. The findings of this study can be utilized to develop the model for predicting the damage costs of buildings by typhoon like HAZUS-MH of US.

• Journal of the Korea Institute of Building Construction
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• v.20 no.2
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• pp.137-145
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• 2020

The recent bridge construction projects demand thorough and systematic safety and risk management, due to the increase of risk factors following the introduction of new and complex construction methods and technologies. Among many types of damages that can occur in bridge construction projects, the damages to third parties who are not directly related to the existing property of the contractor construction project can also bring about critical loss in the project in order to compensate the damages. Therefore, risks that could be caused by the loss occurred to indemnify the third party damages should be clearly analyzed, although there are not subsequent amount of studies focusing on the issue. Based on the past record of insurance payment from domestic insurance companies for bridge construction projects, this study aimed to analyze the risk factors of bridge construction for loss caused to compensate the third-party damages happened in actual bridge construction projects and to develop a quantified and numerical predictive loss model. In order to develop the model, the loss ratio was selected as the dependent variable; and among many analyzed independent variables, the superstructure, foundation, flood, and ranking of contractors were the four significant risk factor variables that affect the loss ratio. The results produced can be used as an essential guidance for balanced risk assessment, supplementing the existing analysis on material losses in bridge construction projects by taking into account the third-party damage and losses.