• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4588-4608
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• 2017

The measurement of information security levels is a very important but difficult task. So far, various measurement methods have studied the development of new indices. Note, however, that researches have focused on the problem of attaining a certain level but largely neglecting research focused on the issue of how different types of possible flaws in security controls affect each other and which flaws are more critical because of these effects. Furthermore, applying the same weight across the board to these flaws has made it difficult to identify the relative importance. In this paper, the interrelationships among security flaws that occurred in the security controls of K-ISMS were analyzed, and the relative impact of each security control was measured. Additionally, a case-control study was applied using empirical data to eliminate subjective bias as a shortcoming of expert surveys and comparative studies. The security controls were divided into 2 groups depending on whether or not a security flaw occurs. The experimental results show the impact relationship and the severity among security flaws. We expect these results to be applied as good reference indices when making decisions on the removal of security flaws in an enterprise.

• 보건행정학회지
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• 제15권3호
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• pp.79-93
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• 2005

The purpose of the study is to identify Ambulatory Care Sensitive Conditions (ACSC) and their potential health insurance applicability in Korea, using the correlation and regression analysis with the empirical data provided by Korean Health Insurance Review Agency(KHIRA). Here, ACSC would be thought of as conditions that when timely and effectively treated in the outpatient medical services can help reduce the risk of hospitalizations. As for ACSC, reducing accessibility for outpatient visit results in increasing hospitalization. In this respect, the ACSC concept is popularly adopted as one of the performance indicators of the national health system. As one of main results, fortifying the accessibility to necessary health care in a way of sharing appropriately the role with private health insurance can lead to the efficiency of national health care delivery systems in view of total health care expense, in particular in a case of ACSC children. Lastly, we would like to strongly suggest that the disease treatment data set reported to KHIRA needs to be opened to private insurance companies only for illness experience investigation.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.1354-1363
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• 2006

Until now, NATM(New Austrian Tunneling Method) has been increasingly developed based on concept of making use of ground as support. Also, NATM in its essence is a method of risk based on monitoring behaviour of tunnel. This Monitoring is irreplaceable for the quality construction of tunnel, and safety of tunnel itself. Pre-reinforcement ahead of a tunnel face using long steel pipes in NATM, known as the RPUM(Reinforced Protective Umbrella Method), is the auxiliary method to sustain the stability of a tunnel face and reduce the ground settlements. Since design of RPUM has been dependent on the empirical design, it is necessary to develop the improved design methods. In this study, to understand behaviour of steel pipes, it is monitored displacement of tunnel crown, axial force of rock bolt, displacement and axial stress of steel pipes. Also, in order to clarify the mechanical behaviour and RPUM effects, 3-Dimensional numerical analysis is performed that various cases of different parameter combinations including original length and repeated length of steel pipes, installation width and angle, repeated length of steel. In the results of comparison monitoring with analysis, it is suggested more economical and efficient design technique than empirical design methods.

• 유통과학연구
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• 제20권7호
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• pp.23-33
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• 2022

Purpose: Although foreign capital flows have played a vital role in fostering the economic growth in recipient countries, there are some concerns about the adverse impact of international capital flows on the banking stability. Hence, the study revisits this issue to explore the relationship between the different types of foreign investments and banking stability in ASEAN region. Research design, data and methodology: Based on the bank-level data of 96 commercial banks and country-level in six ASEAN countries from 2008 to 2019, we perform the multivariate regression analysis and provide a variety of robustness tests. Results: Our empirical evidence shows the volatility of foreign portfolio investments has significantly negative effect on the banking stability, besides that of foreign other investments has the similar influence but the result is relatively less pronounced in some robustness tests. Additionally, increasing trade cooperation and international distribution may lead countries to face higher risk of banking instability driven from these international investments. Meanwhile, the impact of foreign direct investments is positive, but the evidence is the least obvious. Conclusions: Our findings suggest policy-makers in ASEAN and emerging nations as a whole should carefully consider when building policies-related to mitigate the adverse impact of foreign capital flows.

• Environmental Analysis Health and Toxicology
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• 제24권2호
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• pp.79-93
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• 2009

오염물질에 대한 생태위해성평가(ecological risk assessment)를 위해서는 노출평가(exposure assessment)와 함께 생물영향에 대한 평가(effect assessment)를 수행해야 한다. 노출평가의 경우는 지화학적 과정에 대한 이해를 바탕으로 환경농도를 예측하기 위한 화학평형모델이나 다매체환경거동모델 등 다양한 평가 및 예측모델을 활용해 왔다. 이와 달리 생물영향평가는 실험실 조건에서 제한된 독성자료를 대상으로 외부노출농도에 기반한 농도-반응관계를 통계적 방법을 통해서 추정하는 '경험적 모델(empirical model)'에 주로 의존해 왔다. 최근에 와서 생체 내 잔류량을 기반으로 농도-시간-반응관계를 기술하고 예측하는 독성동태학 및 독성역학 모델(toxicokinetic-toxicodynamic model)과 같은 독성작용에 기반한 모델(processbased model)들이 개발되어 활용되고 있다. 본 논문에서는 여러 종류의 독성동태학 및 독성역학 모델을 소개하고, 이를 통계적 추론에 기반한 전통적인 독성학 모델과 비교하였다. 서로 다른 종류의 독성동태학 및 독성역학 모델로부터 도출된 노출농도-시간 -반응관계식을 비교하고, 동일 독성기작을 보이는 오염물질 그룹 내에서 미측정 오염물질의 독성을 예측할 수 있게 해주는 구조-활성관계(Quantitative Structure-Activity Relationship, QSAR) 모델을 여러 독성동태 및 독성역학모델로부터 유도하였다. 마지막으로 독성동태학 및 독성역학 파라미터를 추정하기 위한 실험계획을 제안하였고, 앞으로 독성동태학 및 독성역학 모델을 생태계 위해성평가에 활용하기 위해서 해결해야 될 연구과제를 검토하였다.

• 유통과학연구
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• 제13권12호
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• pp.23-31
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• 2015

Purpose - The purpose of this study is to determine consumers' awareness of hygiene and the perceived risks in the service areas of coffee shops and diners, or simply coffee shops. Research design, data, and methodology - A literature review was conducted on related publications, essays, and periodicals to find correlations among the variables. We developed a research model and hypothesis, and conducted empirical research for statistical data analysis. Results - The results satisfied adequacy standards, with GFI=0.926, AGFI=0.901, RMR=0.020, NFI=0.941, X²=403.197, and p-value=0.120. The results also displayed satisfied adequacy standards for the moderating effects of shop types, with GFI=0.998 (≥0.9 desirable), AGFI=0.998 (≥0.9 desirable), RMR=0.004 (≤0.05 desirable), NFI=0.999 (≥0.9 desirable), X²=1.572, and p-value=0.814 (≥0.05 desirable). Conclusions - A higher consumer hygienic awareness results in a better brand image. Moreover, greater perceived risk results in a worse brand image. Perceived risk is a vital determinant of brand image and it deeply influences customers' decisions to visit. Therefore, perceived risk is a vital determinant of forming a brand image and must be incorporated when devising strategies.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.509-518
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• 2021

Amid the Covid pandemic surge last year, customers and businesses started embracing digital transactions. Digital banking, as an answer to the cash-less-contact-less way of doing financial transactions, was highly convenient during the pandemic, especially in the Philippines. This position examines the Gen Y and Gen Z in the Philippine case and its willingness to encourage digitalization of the financial sector. This study aimed at evaluating the intention to use digital banking services using the factors (1) ease of use; (2) perceived usefulness; (3) perceived risk; (4) trust; (5) convenience. A total of 226 respondents were selected by random sampling method and linear regression was used to analyse the collected data. Analysis of the results show that the components (1) perceived ease of use; (2) perceived usefulness; (3) perceived risk; (4) trust; (5) convenience had a significant effect on intention to use digital banking while the demographics - gender, age, monthly income, and educational attainment do not have any significance on the intention to use digital banking. The relevance of the study can be used for marketing and financial strategies to increase the intention to use digital banking and to contribute to the enhancement of technology acceptance concerning digital banking.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.595-605
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• 2021

The objectives of this research are to see if the phenomena of "demand following" and "supply leading" exist in the business cycle, as well as to look at how liquidity and output react to changes in credit risk, investment-saving gap, inflation, exchange rate, and growth rate of real national output. Employing quarterly data of Maluku and North Maluku (2008-2019), this study utilizes VAR/VECM for inferential analysis. This research found three important findings. First, liquidity and output growth influenced each other in the long run. Second, the determinants of output growth for Maluku are liquidity, investment-saving gap, and inflation, while the determinants of liquidity are output-growth, the gap of investment-saving, and inflation. Third, the determinants of output growth for North Maluku are liquidity, credit risk, investment-saving gap, inflation, exchange rate, and the national output-growth, while the determinants of liquidity are output-growth, credit risk, investment-saving gap, inflation, exchange rate, and national output-growth. The findings of this study supported the hypothesis of demand following and supply leading theory in the Maluku and North Maluku business cycles. This study concludes that economic development would improve if supported by liquidity adequacy through increased deposit growth.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.571-580
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• 2021

The study explores the factors affecting the brand selection behavior of retail chains in Vietnam and to what extent they have an impact on the customer's choice intention. This research employs a combination of both qualitative and quantitative mixed methods with the help of SPSS version 22.0 in data analysis. Expert interviews are used to design the questionnaire for the survey conducted on 700 consumers. Research results show that the eight factors of store image (1-to-3 split factor of store image including the display of goods and services), price perception, risk perception, brand attitude, brand awareness, and brand familiarity were determined. They all influence the intention to choose the retail chain brand. With a positive β coefficient, the more store image, price perception, brand attitude, and brand awareness are enhanced, the more likely the intention to choose the retail chain brand. The factor of risk perception has negative ��, resulting in an inverse impact on choosing a retail chain brand name. Price perception and risk perception have the strongest impact on retail chain decision behavior while commodity display factors the least. Based on these important results, the study proposes implications for retailers and manufacturers.

• 품질경영학회지
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• 제52권1호
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• pp.115-133
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• 2024

Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.