• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.2
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• pp.159-178
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• 2013

We present a model, combining servitization decision and a conventional two-sided market approaches, to understand expected outcomes and current market situations. We suppose an individual manufacturer participates in multiple platforms and decides whether to initiate servitization by considering latent profitability and risk. The analytical results from the model show that increasing competition within servitized companies lead to a servitization equilibrium, wherein the ratio of servitized companies in a market is stable, due to a gradual decline in relative benefits compared to non-servitized companies. This holds even in the case that the number of customer is increasing along the diffusion of servitization, under some restricted conditions.

• Toxicological Research
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• v.24 no.4
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• pp.235-243
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• 2008

While in some instances, loss of diversity results from acute toxicity (e.g. major pollution incidents), in most cases it results from long-term sub-lethal effects that alter the relative competitive ability and fitness of certain organisms. In such cases the sub-lethal effects will cause a physiological response in the organism that ultimately leads to community level changes. Very sensitive tools are now available to study sub-lethal responses at the molecular level. However, relating such laboratory measurements to ecological effects represents a substantial challenge that can only be met by investigation at all scales (molecular, individual organism and community level) with an appropriate group of organisms. Among the various in vertebrates which can be used as model organisms in such a way, the soil nematode, Caenorhabditis elegans appear to be a promising biological model to diagnose environmental quality. This paper reviews the current status of multilevel biomarkers in environmental toxicology, and C. elegans as promising organisms for this approach.

• KCI Concrete Journal
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• v.12 no.1
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• pp.35-46
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• 2000

A research program was initiated at the University of Colorado at Boulder to develop computational models that can be used for seismic risk assessments. To assess the overall performance of bridge structures including the nonlinear effects of bridge piers, the research focused on two levels of capabilities, i.e. global and local pier levels. A 3-D concrete model was used to evaluate the behavior of individual piers under combined axial, bending, and shear loadings using 3-D finite element analysis. Whereby the response curve reached the peak strength of the R/C column under the constant axial and monotonically increasing lateral loads. Experimental results on reinforced concrete bridge piers, which were obtained at the University of California at San Diego were used to validate the seismic performance of bridge piers at the two levels, globa1 and local.

• Asia Marketing Journal
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• v.26 no.3
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• pp.170-185
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• 2024

This study employs a hierarchical component model to examine reuse intentions among experienced carsharing service users in South Korea, focusing on how various perceptions of benefits and risks impact their decisions. It also explores the influences of self-efficacy, gender, and service usage experience on these perceptions and reuse intentions. Findings highlight that male users are primarily driven by functional benefits such as accessibility and convenience, whereas female users are more responsive to hedonic benefits. Users with high self-efficacy prioritize economic benefits, whereas those with more usage experience prioritize functional benefits. Additionally, social risks significantly deter reuse intentions predominantly among male and less experienced users. By utilizing a hierarchical model, this study offers a deeper understanding of how each dimension of benefits and risks affect overall perceptions, facilitating tailored strategies for carsharing services. The insights contribute valuable theoretical and practical perspectives on the dynamics of carsharing service usage.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.767-777
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• 2023

In modern society, user privacy is emerging as an important issue as closed-circuit television (CCTV) systems increase rapidly in various public and private spaces. If CCTV cameras monitor sensitive areas or personal spaces, they can infringe on personal privacy. Someone's behavior patterns, sensitive information, residence, etc. can be exposed, and if the image data collected from CCTV is not properly protected, there can be a risk of data leakage by hackers or illegal accessors. This paper presents an innovative approach to "machine learning based reversible chaotic masking method for user privacy protection in CCTV environment." The proposed method was developed to protect an individual's identity within CCTV images while maintaining the usefulness of the data for surveillance and analysis purposes. This method utilizes a two-step process for user privacy. First, machine learning models are trained to accurately detect and locate human subjects within the CCTV frame. This model is designed to identify individuals accurately and robustly by leveraging state-of-the-art object detection techniques. When an individual is detected, reversible chaos masking technology is applied. This masking technique uses chaos maps to create complex patterns to hide individual facial features and identifiable characteristics. Above all, the generated mask can be reversibly applied and removed, allowing authorized users to access the original unmasking image.

• Information Systems Review
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• v.18 no.2
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• pp.173-198
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• 2016

Financial distress can damage stakeholders and even lead to significant social costs. Thus, financial distress prediction is an important issue in macroeconomics. However, most existing studies on building a financial distress prediction model have only considered idiosyncratic risk factors without considering systematic risk factors. In this study, we propose a prediction model that considers both the idiosyncratic risk based on a financial ratio and the systematic risk based on a business cycle. Ultimately, we build several IT artifacts associated with financial ratio and add them to the idiosyncratic risk factors as well as address the imbalanced data problem by using an oversampling technique and synthetic minority oversampling technique (SMOTE) to ensure good performance. When considering systematic risk, our study ensures that each data set consists of both financially distressed companies and financially sound companies in each business cycle phase. We conducted several experiments that change the initial imbalanced sample ratio between the two company groups into a 1:1 sample ratio using SMOTE and compared the prediction results from the individual data set. We also predicted data sets from the subsequent business cycle phase as a test set through a built prediction model that used business contraction phase data sets, and then we compared previous prediction performance and subsequent prediction performance. Thus, our findings can provide insights into making rational decisions for stakeholders that are experiencing an economic crisis.

• Health Policy and Management
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• v.31 no.2
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• pp.158-172
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• 2021

Background: Metabolic syndrome has been known as a risk of cardiovascular disease. Meanwhile, high sensitivity C-reactive protein (hs-CRP) is used as a predictor of cardiovascular disease. In this paper, we aimed to investigate the association between hs-CRP and metabolic syndrome. Method: A total of 7,633 were chosen as the study population from the 7th Korea National Health and Nutrition Examination Survey dataset (2016-2017). Our dependent variable was whether an individual had metabolic syndrome or not, and the independent variable of interest was hs-CRP which was categorized into three groups. The chi-square tests and hierarchical logistic regression analyses reflecting survey characteristics were conducted. All analyses were stratified by gender. Results: According to the adjusted model with all covariates, compared to individuals having the low risk of hs-CRP, those having its average risk were more likely to have metabolic syndrome in men (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.12-1.76) and women (OR, 1.69; 95% CI, 1.33-2.16). Individuals having the high risk was not significantly different in men; however, they were more likely to have metabolic syndrome in women (OR, 2.03; 95% CI, 1.28-3.23). Conclusion: In an upcoming aging society, it is important to reduce the risk of metabolic syndrome to improve population health. This study suggests that hs-CRP may be used as a marker of the risk of metabolic syndrome in a gender-specific way, thereby contributing to enhancing awareness of the risk of metabolic syndrome among the general public.

• International Commerce and Information Review
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• v.16 no.3
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• pp.25-50
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• 2014

This study is to identify the factors and explore the moderating effects of gender in influencing customer behavioral intention to adopt mobile commerce in Shanghai and Guangzhou in China. An extended study based on TRA, TPB and TAM, UTAUT, technology adoption model is applied for designing on this study model of behavioral intention to adopt mobile commerce focused on emotional variables and cross-gender differences. The results of analysis reveal that the effects of perceived risk, personal innovativeness, individual familarity and social influence on behavioral intentions to adopt mobile commerce as well as to differ across gender. Differences cross gender is specially the perceived risk and social influence. Findings imply that mobile commerce operators need to be communicated to female consumers, the risk-free quality including security, payment and certification system along with the social influence of using mobile commerce. When targeting female consumers in China, the word of mouth marketing strategic approach and improvement of communications of mobile commerce should be focused.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.4
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• pp.105-117
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• 2010

The topographical depressions in urban areas, the lack in drainage capability, sewage backward flow, road drainage, etc. cause internal inundation, and the increase in rainfall resulting from recent climate change, the rapid urbanization accompanied by economic development and population growth, and the increase in an impervious area in urban areas deteriorate the risk of internal inundation in the urban areas. In this study, the vulnerability of internal inundation in urban areas is analyzed and SWMM model is applied into Oncheoncheon watershed, which represents urban river of Busan, as a target basin. Based on the results, the representative storm sewers in individual sub-catchments is selected and the risk of vulnerability to internal inundation due to rainfall in urban streams is analyzed. In order to analyze the risk and vulnerability of internal inundation, capacity is applied as an index indicating the volume of a storm sewer in the SWMM model, and the risk of internal inundation is into 4 steps. For the analysis on the risk of internal inundation, simulation results by using a SMMM model are compared with the actual inundation areas resulting from localized heavy rain on July 7, 2009 at Busan and comparison results are analyzed to prove the validity of the designed model. Accordingly, probabilistic rainfall at Busan was input to the model for each frequency (10, 20, 50, 100 years) and duration (6, 12, 18, 24hr) at Busan. In this study, it suggests that the findings can be used to preliminarily alarm the possibility of internal inundation and selecting the vulnerable zones in urban areas.

• Journal of Navigation and Port Research
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• v.42 no.1
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• pp.25-30
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• 2018

This study was carried out to analyze the risk attitude based on situation awareness of the Vessel Traffic Service Operator (VTSO) on the risk of collision between vessels during the monitoring of vessel traffic through the use of the VTS system. In general, when two vessels are in the close quarters situation, we analyzed the degree of risk of collision from the subjective viewpoint of the VTSOs through an administered survey. Chiefly, we analyzed the risk attitudes of each VTSO in the close quarters situation, by comparing it with the calculated value by the CoRi, which is the ship collision risk model from the VTSO's viewpoint. As a result, it was confirmed that more than 40% of the total VTSO was noted as being in a weak risk aversion type of category. Through a review of the results of analyzing the risk attitude of VTSO according to gender, age, VTS career, VTS center position, accident experience, and boarded career, it was found that there was a significant difference in the VTS career, VTS center position and accident experience. In addition, a regression model that is able to further explain the risk attitude of VTSO was derived as a factor that confirmed the significant difference and applied to CoRi to predict the collision risk according to the individual VTSO to be used as a fundamental information gathering tool for providing more accurate and safe VTS service at sea.