• Journal of Information Management
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• v.40 no.3
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• pp.61-77
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• 2009

Recently, enterprises are protecting information assets with the various means of control and management. Nevertheless, they are confronted with the dilemma which the higher securitylevel they request, the lesser efficiency and productivity in short terms they acquire by the inconvenience of business process. In addition, in spite of the steady increase of organization's investment on information protection, the systematic way for the performance measurement of information protection has not been suggested, so that in reality, it is difficult to make the decision to invest on information-protection and elicit the direction to improve it. For this reason, this study intended to establish the concept of the protection and security of information assets of enterprises and to categorize the type of activities to protect information assets into management activity and control activity, and analyze the effects of management activity and control activity for information asset protection on the performance of information asset protection activity and organization. For this research, questionnaire survey was conducted with literature study and the PLS(Partial Least Square) was used to analyze the measurement model and hypotheses testing. The PLS analysis results indicate that management activity for information asset protection affects information asset protection performance. Further, organizational performance is influenced by information asset protection performance. Practical implications of these findings and future research implications are also discussed.

• International Journal of Highway Engineering
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• v.11 no.1
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• pp.117-126
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• 2009

Total number of recorded earthquakes in Korea is more than 2,000 of which 48 were catastrophic. The impacts from infrastructure damage due to an earthquake to production facilities and lifelines may spread across boundaries of several regions via import-export relationships and can bring serious economic impact to other regions. The economic impacts from unscheduled events stem not only from the damage and direct losses, but also from the indirect losses during the recovery and reconstruction periods. To recover and reconstruct the facilities and lifelines damaged by unexpected events through investment or government financial aid, both the direct and the indirect economic impacts from an event need to be measured in regional and interregional contexts. Direct economic impact is the direct change of production and demand due to the disruption of production facilities and lifelines from an unexpected event, and indirect economic impact is the change in other sectors due to inter-industry relationships. The purpose of the paper is to analyze various economic impacts of an earthquake, especially impacts on transportation networks in Korea. We collected spatial and economic data from Korea, and analyzed and estimated final demand loss and commodity flows from the unscheduled event.

• Journal of Wetlands Research
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• v.12 no.1
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• pp.41-49
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• 2010

Web building of the spider is an investment behavior for prey foraging with genetic constraint. Individual's decision-making on the web construction depends on diverse environmental variables. This study investigated web structure of the wasp spider, Argiope bruennichi, to compare individual's behaviors in dry field and in wet field. We measured 35 web structures in dry field (Chunma-San, Incheon) showing relatively low humidity (46.4%) and luxuriant herbage, and 13 web structures in the wet rice field (73.9%; Taean-Gun, Chungnam). Comparing to the wet field the individuals in the dry field invested significantly more silk: $32.5{\pm}12.8$ number of silk spirals used in the dry field vs. $16.9{\pm}5.4$ in the wet field. The web area of the dry field was greater than that of the wet field: $976{\pm}643cm^2$ vs. $532{\pm}254cm^2$. The web height, distance between the ground and the center of the web, appeared higher in the dry field than in the wet field: $71.4{\pm}39.6cm$ vs. $49.6{\pm}31.2cm$. Also the web constructed in the dry field showed longer stabilimentum than the web of the wet field: $18.8{\pm}3.4cm$ vs. $3.9{\pm}3.2cm$. The perpendicular inclination and the inclination to East-West of the web showed no difference between the two fields. This study suggests that adult females of A. bruennichi could modulate its construction behavior depending on the micro-habitat factors.

• Journal of Korea Water Resources Association
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• v.52 no.10
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• pp.729-742
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• 2019

Natural disasters such as floods has been increased in many parts of the world, also Korea is no exception. The biggest part of natural damage in South Korea was caused by the flooding during the rainy season in every summer. The existing flood vulnerability analysis cannot explain the reality because of the repeated changes in topography. Therefore, it is necessary to calculate a new flood vulnerability index in accordance with the changed terrain and socio-economic environment. The priority of the investment for the flood prevention and mitigation has to be determined using the new flood vulnerability index. Total 25 urban districts in Seoul were selected as the study area. Flood vulnerability factors were developed using Pressure-State-Response (PSR) structures. The Pressure Index (PI) includes nine factors such as population density and number of vehicles, and so on. Four factors such as damage of public facilities, etc. for the Status Index (SI) were selected. Finally, seven factors for Response Index (RI) were selected such as the number of evacuation facilities and financial independence, etc. The weights of factors were calculated using AHP method and Fuzzy AHP to implement the uncertainties in the decision making process. As a result, PI and RI were changed, but the ranks in PI and RI were not be changed significantly. However, SI were changed significanlty in terms of the weight method. Flood vulnerability index using Fuzzy AHP shows less vulnerability index in Southern part of Han river. This would be the reason that cost of flood mitigation, number of government workers and Financial self-reliance are high.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.141-149
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• 2021

This study investigated the effect of accounting information on dividend policy as a measure of corporate conservatism from the perspective of the internal accounting management system. The verification is based on a sample of 543 companies listed on securities (excluding KOSDAQ and financial industry) among the Bank of Korea (2019) 「2018 Corporate Management Analysis」 and company analysis of the Korea Productivity Center (financial data disclosed as listed companies as a December settlement company) was composed. Using SPSS 22, empirical analysis was conducted using exploratory factor analysis and regression analysis. The first is the verification related to corporate conservatism and the role of dividend policy, and it is verification of whether internal accounting management influences financial decision-making. Second, if internal accounting management exists, it is a verification of how conservatism and investment policies (in-house reserve, debt borrowing, capital increase, dividends, etc.) affect the corporate value according to accounting information. As a result, from the perspective of the internal accounting management system, it was found that among the variables of accounting information, profitability can have a positive effect on corporate conservatism and dividend policy as a corporate valuation method of reinvestment. In addition, it has been proven that corporate conservatism has an effect on profitability-to-value through capital accumulation and reinvestment such as surplus and internal reserves. In the future, we will study and discuss the complementarity of corporate conservatism and dividend policy in relation to governance structure and improvement of the internal accounting management system.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.254-265
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• 2021

Purpose: Inspection and diagnosis on the performance and safety through domestic port facilities have been conducted for over 20 years. However, the long-term development strategies and directions for facility renewal and performance improvement using the diagnosis history and results are not working in realistically. In particular, in the case of port structures with a long service life, there are many problems in terms of safety and functionality due to increasing of the large-sized ships, of port use frequency, and the effects of natural disasters due to climate change. Method: In this study, the maintenance history data of the gravity type quay in element level were collected, defined as big data, and a predictive approximation model was derived to estimate the pattern of deterioration and aging of the facility of project level based on the data. In particular, we compared and proposed models suitable for the use of big data by examining the validity of the state-based deterioration pattern and deterioration approximation model generated through machine learning algorithms of GP and SGP techniques. Result: As a result of reviewing the suitability of the proposed technique, it was considered that the RMSE and R² in GP technique were 0.9854 and 0.0721, and the SGP technique was 0.7246 and 0.2518. Conclusion: This research through machine learning techniques is expected to play an important role in decision-making on investment in port facilities in the future if port facility data collection is continuously performed in the future.

• Journal of the Korea Institute of Building Construction
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• v.19 no.1
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• pp.67-76
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• 2019

The domestic construction industry is changing according to its preference for demand and supply along with urbanization and economic development. Accordingly, initial risk assessments is more important than before. In particular, demand for lease-based investment products such as commercial and office buildings has surged as a substitute for financial products due to low interest rates of banks. Therefore, the objective is to suggest a basic study on financial analysis model development by applying optimization method in residential officetel. To achieve the objective, first, the previous studies are investigated. Second, the causal loop diagram is structured based on the collected data. Third, the system dynamics method is used to develop cost-income simulation and optimization model sequentially. Finally, the developed model was verifed through analyzing a case project. In the future, the proposed model can be helpful whether or not conduct execution of an officetel development project to the decision makers.

• Management & Information Systems Review
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• v.38 no.1
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• pp.155-168
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• 2019

The objective of our study is to examine the Earnings Quality of Win-Win Growth Corporate. The level of Win-Win Growth Corporate is measured by Win-Win Index of korea commission for corporate partnership. Earnings Quality is proxied by Accounting Conservatism that is measured by the method of Givoly and Hayn(2000). The samples of this study selected from listed corporate, consist of 3,608 observations can be collected from 2011 to 2017 at TS-2000. The result of this study can be summerized in the following. the Win-Win Growth has a significant positive relevance on Accounting Conservatism is the proxy of internal Earnings Quality. This means that Win-Win Growth corporate has a higher the Earnings Quality relatively. These results were supported by additional analysis that used the sample that is made up the Win-Win Growth Corporate completely. According to our study, we can expect that the Earnings Quality of Win-Win Growth corporate is true as steel. But this study have some limitation. Especially we can't explain the reason why the Win-Win Growth has a significant positive relevance on Earnings Quality. And, despite additional analysis, there are the limitation of controlling for endogeneity. We hope that our paper can help investor making a economic decision on investment and officials making a effective policy on the Win-Win Growth.

• International Area Studies Review
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• v.21 no.4
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• pp.125-139
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• 2017

This study analyzes the determinants and patterns of regional migration in Myanmar. Population migration is affected by various factors such as economic and social factors as well as regional characteristics. It is affected by factors such as income, employment and social overhead capital. Therefore, this study attempts to analyze the following two research problems. First, I would like to analyze whether the reform and opening of Myanmar is causing the migration of rural to urban population. Myanmar is also trying to verify the pattern of population migration experienced by other developing countries. Second, we analyze the impact of social overhead capital on population migration in Myanmar. We analyze the impact of basic infrastructure such as roads, electricity and water on population movements. This will give implications for investment policy decision of social overhead capital for balanced regional development. First, the pattern of population migration in Myanmar is shifting from rural to urban areas, as other developing countries have experienced. Myanmar's urban areas of Yangon and Mandalay have been analyzed as having migration. Second, the expansion of social overhead capital was found to have an impact. Social overhead capital such as roads and educational environments were analyzed to have the capacity to inhale the population. Especially, the educational environment of the region has a great effect on population migration. It is analyzed that education reform is an important policy issue for the balanced regional development of Myanmar. Fourth, employment opportunities were analyzed to have the greatest impact on Myanmar population movements. In the early stage of economic development, it is analyzed that the population moves to a region where employment opportunity is high in the situation where foreign capital is coming in. It is analyzed that the direction of inflow of foreign capital and the imbalance of development in the region will be determined in the situation where the economic development is carried out through foreign capital.

• Knowledge Management Research
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• v.22 no.2
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• pp.247-268
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• 2021

Investors mainly use PER and PBR among financial ratios for valuation and investment decision-making. I conduct an analysis of two basic financial ratios from a statistical perspective. Financial ratios contain key accounting numbers which reflect firm fundamentals and are useful for valuation or risk analysis such as enterprise credit evaluation and default prediction. The distribution of financial data tends to be extremely heavy-tailed, and PER and PBR show exceedingly high level of kurtosis and their extreme cases often contain significant information on financial risk. In this respect, Extreme Value Theory is required to fit its right tail more precisely. I introduce not only GPD but exGPD. GPD is conventionally preferred model in Extreme Value Theory and exGPD is log-transformed distribution of GPD. exGPD has recently proposed as an alternative of GPD(Lee and Kim, 2019). First, I conduct a simulation for comparing performances of the two distributions using the goodness of fit measures and the estimation of 90-99% percentiles. I also conduct an empirical analysis of Information Technology firms in Korea. Finally, exGPD shows better performance especially for PBR, suggesting that exGPD could be an alternative for GPD for the analysis of financial ratios.