• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.771-784
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• 2009

In the situation where the uncertainty of the environment of organizations is high and dynamic, the competitive advantage should be secured and maintained through securing knowledge-based intangible assets rather than tangible assets. human resources management in the service industry is more important than in any other industries. Accordingly, based on preceding researches, this study examines the adoption factors and the results of organizations with regard to the e-HRM system as IT-based information system. The proof results are summarized as follows. First, the degree of IS maturity in the information technology factors was found to have effects on the business results of organizations (financial and non-financial results) and the IS/IT based structure was found to have significant effects on financial results (productivity, growth potential) but no effects on non-financial results (revitalization of organizations, the degree of total satisfaction). Second, the degree of competition, the degree of information technology and environmental uncertainty factors in environmental factors were found to have effects on financial results (productivity, growth potential) but no effects on non-financial results (the revitalization of organizations, the degree of total satisfaction). Third, it can be seen that the scales of organizations partially play the adjustment role between information technology factors and environmental factors and the business results of organizations. Based on these results, we can cautiously draw the conclusion that it is effective in enhancing financial results (productivity, growth potential) of organizations to adopt the e-HRM system in the case of large scale organizations in the service industry.

• Asia pacific journal of information systems
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• v.22 no.1
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• pp.53-77
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• 2012

Financial firms, especially large scaled firms such as KB bank, NH bank, Samsung Card, Hana SK Card, Hyundai Capital, Shinhan Card, etc. should be securely dealing with the personal financial information. Indeed, people have tended to believe that those big financial companies are relatively safer in terms of information security than typical small and medium sized firms in other industries. However, the recent incidents of personal information privacy invasion showed that this may not be true. Financial firms have increased the investment of information protection and security, and they are trying to prevent the information privacy invasion accidents by doing all the necessary efforts. This paper studies how effectively a financial firm will be able to avoid personal financial information privacy invasion that may be deliberately caused by internal staffs. Although there are several literatures relating to information security, to our knowledge, this is the first study to focus on the behavior of internal staffs. The big financial firms are doing variety of information security activities to protect personal information. This study is to confirm what types of such activities actually work well. The primary research model of this paper is based on Theory of Planned Behavior (TPB) that describes the rational choice of human behavior. Also, a variety of activities to protect the personal information of financial firms, especially credit card companies with the most customer information, were modeled by the four-step process Security Action Cycle (SAC) that Straub and Welke (1998) claimed. Through this proposed conceptual research model, we study whether information security activities of each step could suppress personal information abuse. Also, by measuring the morality of internal staffs, we checked whether the act of information privacy invasion caused by internal staff is in fact a serious criminal behavior or just a kind of unethical behavior. In addition, we also checked whether there was the cognition difference of the moral level between internal staffs and the customers. Research subjects were customer call center operators in one of the big credit card company. We have used multiple regression analysis. Our results showed that the punishment of the remedy activities, among the firm's information security activities, had the most obvious effects of preventing the information abuse (or privacy invasion) by internal staff. Somewhat effective tools were the prevention activities that limited the physical accessibility of non-authorities to the system of customers' personal information database. Some examples of the prevention activities are to make the procedure of access rights complex and to enhance security instrument. We also found that 'the unnecessary information searches out of work' as the behavior of information abuse occurred frequently by internal staffs. They perceived these behaviors somewhat minor criminal or just unethical action rather than a serious criminal behavior. Also, there existed the big cognition difference of the moral level between internal staffs and the public (customers). Based on the findings of our research, we should expect that this paper help practically to prevent privacy invasion and to protect personal information properly by raising the effectiveness of information security activities of finance firms. Also, we expect that our suggestions can be utilized to effectively improve personnel management and to cope with internal security threats in the overall information security management system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.520-526
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• 2016

This study aims to develop a distress prediction model, in order to evaluate the distress prediction power for first-class hotels and to calculate the average financial ratio in the Seoul area by using the financial ratios of hotels in 2015. The sample data was collected from 19 first-class hotels in Seoul and the financial ratios extracted from 14 of these 19 hotels. The results show firstly that the seven financial ratios, viz. the current ratio, total borrowings and bonds payable to total assets, interest coverage ratio to operating income, operating income to sales, net income to stockholders' equity, ratio of cash flows from operating activities to sales and total assets turnover, enable the top-level corporations to be discriminated from the failed corporations and, secondly, by using these seven financial ratios, a discriminant function which classifies the corporations into top-level and failed ones is estimated by linear multiple discriminant analysis. The accuracy of prediction of this discriminant capability turned out to be 87.9%. The accuracy of the estimates obtained by discriminant analysis indicates that the distress prediction model's distress prediction power is 78.95%. According to the analysis results, hotel management groups which administrate low level corporations need to focus on the classification of these seven financial ratios. Furthermore, hotel corporations have very different financial structures and failure prediction indicators from other industries. In accordance with this finding, for the development of credit evaluation systems for such hotel corporations, there is a need for systems to be developed that reflect hotel corporations' financial features.

• Industry Promotion Research
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• v.8 no.2
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• pp.21-27
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• 2023

This study studies the policies and use cases of the government and the financial sector for artificial intelligence, and the future policy tasks of the financial sector. want to derive According to Gartner, noteworthy technologies leading the financial industry in 2022 include 'generative AI', 'autonomous system', 'Privacy Enhanced Computation (PEC) was selected. The financial sector is developing new technologies such as artificial intelligence, big data, and blockchain. Developments are spurring innovation in the financial sector. Data loss due to the spread of telecommuting after the corona pandemic As interests in sharing and personal information protection increase, companies are expected to change in new digital technologies. Global financial companies also utilize new digital technology to develop products or manage and operate existing businesses. I n order to promote process innovation, I T expenses are being expanded. The financial sector utilizes new digital technology to prevent money laundering, improve work efficiency, and strengthen personal information protection. are applying In the era of Big Blur, where the boundaries between industries are disappearing, the competitive edge in the challenge of new entrants In order to preoccupy the market, financial institutions must actively utilize new technologies in their work.

• Korean Journal of Agricultural Science
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• v.45 no.1
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• pp.128-136
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• 2018

The Anti-corruption Law has been enforced since Sep. 28, 2016 to prevent public servants from colluding with people for political favors and financial gain by giving bribes to public servants. Generally, most people in Korea think that the law has had a positive effect on society. Under this law, people believe that our society has become more transparent. However, domestic producers think the law has had negative effects on the Korean livestock industry. Statistics from the domestic livestock industry show that the Hanwoo price has dropped after the law was enforced. This study attempts to show how livestock prices in the Korean livestock industry have changed after the enactment of the law. We chose three important livestock industries, Hanwoo, pork, and chicken, to determine and compare the effects of the law on them. For the analysis, we used a time-series model, VAR, to incorporate the interactions of the three industries. We selected the average wholesale prices of these industries. Daily prices during the last 5 years were used to estimate and forecast the impacts of the law. The results show that the price of Hanwoo decreased after the enforcement of the law; however, the other livestock prices did not decrease. Additionally, we clearly saw this negative effect on the Hanwoo industry during the high demand season and New Year's Day (solar and lunar together).

• Journal of Korean Public Health Nursing
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• v.12 no.1
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• pp.1-12
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• 1998

This study was conducted to grasp the progress of the health management program in small scale industries with phenomenological approach. The industrial health care system compose of manpower, devices, and facilities such as medical resources, organization, service delivery system, financial resources, payments, and management system is important for the industrial health. Especially health management program should be provided feasible conditions to workers. The data collection period was 2 months from September 1 to October 30, 1997. The indepth interview results for health monitor, labors, and occupational health nurses were analyzed by Giorgis' phenomenological method. The major results were as follows: 1. The workers, health monitors and nurses felt that the subsidiary program of health management in small scale industries were necessary. This project for small-size industry can be set-up through complementary education for health monitors and resolvement of nurses' six suggestions. It is necessary to provide followings ; 1) Properly devision of industry 2) More clear guidance for health management at visiting time 3) Legitimate incentive system 4) Health education materials and devices 5) Change of fee and material payments at visiting 6) Budgets and system for medication and vaccination at visiting 2. Above all, it is suggested that the strategics of the health management program should be developed.

• STI Policy Review
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• v.6 no.1
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• pp.24-35
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• 2015

This research constructs a data set regarding competition policy through a comprehensive review of previous studies, and performs a meta-analysis to quantitatively assess the price effects of deregulation. A structural econometric model is used to eliminate possible biases from heterogeneity of the studies,such as in publication types and measurement methods. Four types of regulations that deter competition are characterized and three groups of industries are made for drawing practical implications. We fnd that deregulation to promote competition reduces prices by 0.23% and that these estimated price effects are more stable when we control for the publication types and measurement ways. Easing regulations that restrict consumers' choice is shown to be most effcient in promoting competition, lowering prices by 0.7%. This is followed by eliminating the limitation in the number of frms in the industry, with 0.2% price reduction. Overall, the network and service industries are shown to be more responsive to deregulation than the R&D industry. These results could shed light on policy implementation when a pro-competition policy is called for due to restrictive regulations in the corresponding industries.

• Journal of the Korean Society of Safety
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• v.19 no.1
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• pp.108-116
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• 2004

After the IMF financial crisis, a lot of risks in construction industry have been increased gradually with the expansion of construction industry widely, higher stories of building, and the expansion of the underground space and excavation work. These risks are bringing out construction accidents such as the death, the injury of worker and so on, not so much as it would be effected the corporation's image. In spite of these situations, many construction industries still maintain the wrong methods and not try to decrease construction accidents. Recently, we should focus on the fact that management system of the larger construction also is being good, on the other hand, the condition of the work in the case of smaller construction industries is very poor, construction company have a particular safety management system but it has a difference according to the construction magnitude, construction companies have a particular safety management system but it has a difference depending on the construction according to the construction magnitude. Therefore, this study will suggest the developed way of construction safety management by the comparison and analysis from the difference between the higher and the smaller construction industries.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.667-678
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• 2021

The industrial life cycle theory was extended to the product life cycle theory and the corporate life cycle theory, but a conceptual life cycle was presented, and quantitative empirical evidence for this was insufficient. It is intended to improve appropriate resource planning and resource allocation by quantitatively predicting the industrial cycle and its position (age) in the cycle. Human resources, tangible assets, and industrial output analysis were conducted based on 28 years of actual data of 39 industries in Korea by applying the Gompertz model, which is a population ecology prediction model. By predicting with the Gompertz model, the coefficient of determination R2 value was 97% or more, confirming the high suitability with the actual cumulative sales value of the industry. A numerical model for calculating the life cycle of each industry, calculating the saturation of input resources for each industry, and diagnosing the financial stability of the industry was presented. These results will contribute to the decision-making of industrial policy officers for budget planning appropriately for each stage of industry development. Future research will apply the numerical model of this study to foreign national industries, complete an inter-industry convergence diagnostic model (e.g. ease of convergence, suitability of convergence, etc.) for renewal of fading industries.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.271-282
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• 2022

The paper analyzes the effects of the emergence of Fintech on the banking and savings banking industries in Korea. From the analysis, we find that net interest margin decreases and credit supply increases with the advent of Fintech in the banking industry. Similarly, in the savings banking industry, a profitability index decreases. This is interpreted as the result of reduced monopoly power and increased efficiency in the industries, inducing an increase in overall consumer benefits. Individual financial institutions may, however, experience difficulties such as reduced profitability and increased Fintech investment costs.