• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.203-215
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• 2022

Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.

• Korean Journal of Social Welfare Studies
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• v.45 no.2
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• pp.147-172
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• 2014

The purpose of this study is to analyze the cause-and-effect relationships among positive verbal expressions from family members, social network, and disability identity as the determinant factors of intention to work. To achieve the goal, 453 persons with disabilities and with experiences of using facilities for the disabled were studied, who were recruited for the national survey of domestic violence in 2010. For the research subjects, the cause-and-effect relationships among the major factors were examined by using a structural equation model. According to the results, disability identity and intent to work tended to be higher as they had experienced more of positive verbal expressions from their families. Moreover, a more participation in social activities increased disability identity, but not intent to work. Lastly, disability identity was found to be a determinant of intent to work. Based on the results, we provide suggestions to achieve social inclusion of people with disabilities by raising the intent to work.

• Journal of Microbiology and Biotechnology
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• v.17 no.3
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• pp.530-533
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• 2007

It has been well known that the use of Saccharomyces cerevisiae can cause fungemia in critically ill patients and flavone shows an antimicrobial effect on S. cerevisiae. Therefore, we have investigated the activities of thirteen flavone analogues on S. cerevisiae in our studies. Because flavonoids including flavones have antioxidative effects, we try to carry out the activity studies of flavone analogues in vitro and in vivo. In addition, the relationships between the structures of flavone analogues and their biological activities, such as antimicrobial and antioxidative effects, were elucidated using Comparative Molecular Field Analysis calculations. Of the flavone analogues tested here, 3,2'-dihydroxyflavone showed both good antimicrobial and antioxidative activities.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.17 no.4
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• pp.15-27
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• 2021

In this study, the effect of design factors in a pump station on the pressure variations which are the main cause of water hammering has been investigated by numerical simulations. As design factors, the flow rate, Young's modulus, diameter, thickness, roughness coefficient of pipeline are considered. The relationships between the pressure variations and the design factors are analyzed. The results show that the pressure variation increases sensitively with the flow rate and Young's modulus, and increases gradually with the thickness and roughness coefficient of pipe, whereas it decreases with the pipe diameter. The wavelength of the pressure wave becomes longer for a smaller Young's modulus, a smaller pipe thickness and a bigger pipe diameter. These relationships are nondimensionalized, and logarithmic curve-fitted functions are proposed by regression analysis. Most effective factors on the nondimensional pressure variation is Young's modulus. Flow rate, roughness coefficient, relative thickness and pipe diameters are the next impact factors.

• Journal of Information Technology Applications and Management
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• v.23 no.3
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• pp.71-86
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• 2016

This paper proposes a new software quality model composed of a hierarchy of software quality views and three software quality characteristics models. The software view hierarchy is composed of two levels : end view and means view at the first level, contingency view and intrinsic view as sub-views of means view. Three software quality characteristics models are activity quality characteristics model, contingency quality characteristics model, and intrinsic quality characteristics model, which correspond to end view, contingency view, and intrinsic view respectively. This paper also reclassifies characteristics of ISO/IEC 25000 series SQuaRE's software product quality model according to the proposed software quality model. The results illustrate clearly the shortcomings of SQuaRE's product quality model and how to overcome them. First of all, most of SQuaRE's product characteristics should be redefined and conceptually clarified according to the views on which they are really rested. Much more characteristics should be supplemented too. After that, rigorous empirical researches will become relevant. Causal relationships between activity quality characteristics and characteristics of means view should be empirically researched.

• Journal of Preventive Medicine and Public Health
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• v.37 no.2
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• pp.120-126
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• 2004

Objectives : This study sought to examine relationships between alcohol drinking and cardiovascular disease mortality and all-cause mortality. Methods : From March 1985 through December 1999, 2,696 males and 3,595 females aged 55 or over as of 1985 were followed up for their mortality until 31 December 1999. We calculated the mortality risk ratios by level of alcohol consumption. Among the drinker, the level of alcohol consumption was calculated by the frequency of alcohol comsumption and the type of alcohol. Cox proportional hazard model was used to adjust for confounding factors. Results : Among males, compared to abstainer, heavy drinker had significantly higher mortality in all cause(Risk ratio=1.35), cardiovascular disease(Risk ratio=1.52) and cerebrovascular disease(Risk ratio =1.66). Although not significant, moderate drinker had lower ischemic heart disease mortality(Risk ratio =0.38). Among females, there was no statistically significant association between alcohol comsumption and mortality. Conclusion : The results of this study suggest that alcohol drinking has harmful effect on all-cause mortality, cardiovascular disease mortality and cerebrovascular disease mortality among males, especially in heavy drinker among males. Minimal evidence on protective effect for cardiovascular disease mortality in low or moderate drinker is observed.

• The Journal of Information Systems
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• v.24 no.2
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• pp.73-96
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• 2015

Purpose Information security industry is rapidly growing, but has been confronted with many challenges in a business environment. One of them is the imbalance between supply and demand of information security manpower, which has caused an insecure market situation. Therefore, this study has derived factors of promoting and hindering information security manpower from governance, academics, corporations, and workforce perspectives, and has analyzed a sequence of cause and effect of each factor. Design/methodology/approach This study is an exploratory research based on the interviews. The causal loop diagram (CLD) was developed to deduce key issues and propose alternatives. Findings The result of this study is expected to help the development of information security manpower in Korea, by minimizing the potential negative effects as well as maximizing the positive effects. This study found out the dynamic causes and effects of the security manpower system in each stakeholder's perspective. The cause-and-effect relationships between the stakeholders will be able to contribute to solve the imbalance of supply and demand in security manpower system.

• Korean Journal of Construction Engineering and Management
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• v.7 no.5
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• pp.64-76
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• 2006

Korea's overseas construction industry has been rather depressed by the weakened profitability as well as the sharp decrease of the market shares due to the lack of international competitiveness and the declined international market. There exist a lot of various risks in performing the overseas construction, and especially EPC projects, which entail complicated process from different parts, also require a sophisticated procurement and management skill. Subsequently, to survive in the competitive international market, we need to establish strategies to select potentially profitable projects at the initial stage of bidding process and to mitigate the high degree of risk exposure through contract negotiation and its adjustment. This research discusses the trend of environment in international construction markets. Then, it identifies the key factors that affect the profitability significantly through the structured surveys from 59 actual overseas projects, and it analyzes the key factors by using statistical methods. This research provides the profitability evaluation bases, with which overseas construction participants can forecast and analyze the risk more systematically, by eliciting profit-influencing factors using the result of statistical analysis, literature review and structuring their cause-and-effect relationships. The profitability casual hierarchy structure describes the profitability factors' hierarchy in details and their interrelationships. It also enables us to find out critical factors directly related to profitability aggravation through a qualitative and quantitative analysis. Ultimately, with this hierarchy structure as the base, the research will suggest how to develop the quantitative profitability forecasting model.

• The Journal of Information Systems
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• v.26 no.3
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• pp.91-118
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• 2017

Purpose The purpose of this research is to investigate the effect of social capitals on organizational knowledge sharing characteristics and individual innovation activities in community of practice (CoP) of manufacturing company. Design/methodology/approach For this purpose, we divide social capitals as three dimensions, i.e. structural, relational, and cognitive dimension. Structural dimension also consists of closure and Brokerage. Relational social capital is defined as trust about colleagues, superior authorities, and organization. Then, cognitive social capital is defined as a shared understanding among individuals, such as a shared language and codes within CoP. Knowledge Sharing is defined as quantity and quality of shared knowledge. We also defines the cause and effect relationships among social capitals, organizational knowledge sharing characteristics, and individual innovation activities in CoP of manufacturing company as follows. The social capitals will have positive effects on quality of shared knowledge. Then the quality of shared knowledge will have positive effects on the individual innovation activities. This paper tested the validity of these hypothesized casual effects and the sub-hypothesized causal relationships. For the purpose, we used the Partial Least Squares (PLS) for analyzing the causal relationships. Findings Our empirical results show that social capitals of CoP mostly have effects on organizational knowledge sharing characteristics (quantity and quality of shared knowledge) and knowledge sharing activities also have effects on individual innovative activities in the workplace. In this study, these result have a significant implication that a private company will be able to gain organizational innovative performance much better by strengthening CoP supporting activities.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.155-162
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• 2012

This study proposes an integrated approach that uses both a fuzzy service FMEA (failure mode and effect analysis) and HOQ (house of quality) matrix algebra in designing and improving a service system. The fuzzy service FMEA methodology applies the customer satisfaction to the fuzzy RPN model. We fuzzify only the service satisfaction that consist in two failure factors, intangible service and tangible service, to more effectively assess the customer satisfactions on service encounters. Proposed fuzzy service satisfactions with triangle membership function are defuzzified by using the Fuzzy Inference System, and these are eventually identified the ranks on the potential fail points. HOQ matrices are constructed from cause-effect relationships. It is possible for these relationship matrix to find a linear approximation solution on the engineering attributes. Thus, in order to demonstrate how the proposed methods work, practical sample of the A/S part in S Electronic Co. provides for the ranking of the engineering attributes which has been successfully implemented.