• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1169-1179
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• 2009

The purpose of this study was to explore the effects of the elderly's image or appearance to ageism. In this study, image included factors such as image management, external image and self and other's acceptance. To investigate the cause and effect of image to ageism, we purposely collected 315 samples from 4 senior welfare centers in Jeonju and exploited SEM (Structural equation modeling) for 297 cases excluding some cases with missing values. According to the results, first, we found that oneself and others' acceptance of the elderly's external image decreases the experience of ageism. Second, the behavior for image management resulted in oneself and others' acceptance of the image. Third, the behavior for image management positively influenced the external image. Fourth, the elderly's external image caused positive effects on oneself and others' acceptance of the image. Fifth, behavior for image management showed decreasing effects of the ageism experience.

• The Journal of Information Systems
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• v.23 no.4
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• pp.75-91
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• 2014

The effective supply chain management(SCM) is a matter of survival in many firms because successful supply chains will effectively coordinate their processes, focus on delivering customer value, eliminate unnecessary costs in key functional areas, and create performance measurement systems. The balanced scorecard(BSC) is widely used to measure the performance of the SCM. The BSC framework suggests that balance is obtained by adopting performance measures from four different areas. In this study, we analyzed the causal relationship of SCM performance based on BSC framework. First, we reviewed the nested causal relationships among four different perspective of the BSC, namely, business process perspective, customer perspective, financial perspective, and innovation and learning perspective. Then, we used the chi-square difference test to identify the best model to fit the causal relationship of SCM performance. Of the 800 questionnaires posted, a total of 265 questionnaires were returned after one follow-up. A total of 66 questionnaires were eliminated due to largely missing values. The major finding says alternative model 3 is dominant to other models to fit causal relationships among four different perspective of the BSC. Innovation and learning perspective positively influence on customer perspective, business process perspective, and financial perspective. Business process perspective also positively influence on customer perspective and financial perspective whereas customer perspective does not influence on financial perspective significantly.

• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.67-78
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• 2020

Objectives: Using data from the 1styear of the 7th National Health and Nutrition Survey, this study administered a questionnaire to patients with oral damage and examined the type of medical care used based on the nature of the injury, further characterized by age group and sex. Methods: Of the 8,150 respondents, this study selected those who participated in the health survey and oral exam survey, excluding surveys with missing values, and set 7,681 people as the research participants. This study used SPSS Windows version 23.0(SPSS Inc. IL, USA) as the statistics program and applied the chi-square test (p) based on a complex sample and logistic regression analysis. Results: In the analysis of the type of tooth damage, there was a significant difference (p<.001) in the number of male patients who were injured due to exercise, violence, and safety accidents compared to females. However, there was no significant difference in their type of medical security and whether or not they visited a dental clinic. The patients with private insurance showed relatively high use for tooth extraction and oral surgery (p<.001). Conclusions: The best way to prevent tooth damage is to prevent the accident. For sports or exercises which may cause tooth damage, protective gear, such as a mouthpiece, should be used to prevent tooth damage.

• Korean Management Science Review
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• v.31 no.3
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• pp.1-12
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• 2014

This study suggests the two types DEA models such as DEA CCR model and Super Efficiency model to evaluate the value of a company and to apply them for the investments. 14 kinds of real data of companies such as EV/EBITDA, EPS growth rate, PCR, PER, dividend yield, PBR, stock price/net current asset, debt ratio, current ratio, ROE, operating margin, inventory turnover, accounts receivable turnover, and sales growth ratio were used as input variables of DEA models. 12 year data from December 30, 2000 up to December 30, 2012 were collected, and the data with negative, missing and 0 values were removed reflecting the characteristics of the DEA. In order to verify the effectiveness of the models, we compared the historical variability and rate of return of both models those of the market. Study results are as follows. First, two DEA models are more stable than market in terms of rate of return because the historical variability of both models are less than that of market. Second, Super Efficiency model is more stable than CCR model. Lastly, the cumulative rate of return of Super Efficiency model (434%) is greater than that of the CCR model (420%) and that of the market (269%).

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.241-242
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• 2016

Recent abnormal climate change induces localized heavy rainfall and extreme disasters such as debris flow near urban area. Thus many researches have been conducted to estimate and prevent, especially in focus of physical behavior of debris flow. Even though it is hardly to consider overall related parameters to estimate the extent and degree of directly or indirectly damages due to debris flow. Those analytic restraint would be caused by the diversity and complexity of regional topographic and hydrodynamic characteristics of debris flow inside. We have utilized the Bayesian method to compensate the uncertainty due to the complex characteristics of it after analyzing the numerical results from FLO-2D and field measurement data. Revised values by field measurements will enhance the numerical results and the missing parameters during numerical simulation will be supplemented with this methodology. As a final outcome in this study, the risk index of debris flow damage will be suggested to provide quantitative estimation in terms of hazard protection including the impact on buildings, especially in inner and outer of urban area.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.855-863
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• 2020

The purpose of this study is to investigate the impacts of two different kinds of interactivity, such as user-to-user and user-to-media interaction, on the relationship between SNS motivation and online word of mouth (WOM). An online survey was conducted with SNS users in Korea. Using the convenience-sampling method, 300 surveys were collected and 295 were used in the actual analysis after excluding data with careless responses or missing values. Hypotheses were tested using Structure Equation Model (SEM) and path analysis by using AMOS22. The results indicate that four different SNS motivations (self-expression, relational, fun, and browsing motivation) have a partially significant positive effect on perceived user-to-user and user-to-media interaction in SNS. Although both user-to-user interactivity and user-to-media interactivity were found to have a significant effect on online word of mouth, by comparing the standardized regression coefficients in these relationships, it was found that user-to-user interactivity has a greater effect on online WOM than user-to-media interactivity. These results show that the motivated SNS users want to express their desire to communicate with other users in contrast than their desire to learn media functions when motivated SNS users reveal their personalities, knowledge, and abilities. Theoretical and managerial implications are discussed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.663-673
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• 2020

To enhance the performance of privatized firms and state-owned enterprises, Vietnamese government set up a specialized monitoring body named State Capital Investment Corporation (SCIC) in 2006 to supervise their performance. This motivated us to conduct this study to investigate the effective control of SCIC on privatized firms' performance. We collected the annual reports of 500 non-financial privatized firms listed on HSX and HNX during the period from 2007 to 2017 from Thomson Reuters. Observations with missing values were removed and trimming outliers were implemented resulting in a dataset comprising of 4146 firm-year observations. We applied a quadratic regression model of state ownership on firms' performance, and applied the method of Baron and Kenny (1986) to test the moderating effect of SCIC control. To fix "selection bias" that may occur and result in endogeneity of moderator (M), we utilized the PSM technique to analyze the marginal effect of the moderator (SCIC) on privatized firms' performance. Our findings indicate a positive moderating role of SCIC on the relationship between the state ownership and firms' performance. This implies that there is a positive effect of liberating the management of the private firms from government control, which also means that lesser the intervention of government in the day to day operational activities of a private firm, better the performance of a privatized firm is.

• The Journal of Information Systems
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• v.24 no.1
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• pp.27-44
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• 2015

Supply chain management (SCM) aims to provide the coordination and execution of planning and decision-making in multi organization-wide production and distribution. The advancement of information technology and the globalization of market promote SCM integration. Information sharing has become a major driver of competitive advantage in SCM. In this research, we aim to analyze the influence of SCM integration on firm performance and the role of information sharing between SCM integration and firm performance. Of the 750 questionnaires posted, a total of 218 questionnaires were collected after one follow-up. A total of 199 questionnaires were analyzed after 19 questionnaires were eliminated due to largely missing values. We used structural equation modeling technique to validate the causal relationship between SCM integration, information sharing, and firm performance. The results suggest that improved SCM integration both within the focal company (intra-organization) and across companies (inter-organization) enhances firm performance positively. Information sharing acts as a mediator between the SCM integration and the firm performance. Intra-organization SCM integration is positively related to inter-organization SCM integration, namely, SCM integration with suppliers and customers. The results suggest that internal integration of SCM significantly influences external integration with customers and suppliers. The result also shows that supply chain integration has a positive influence on firm performance and information sharing positively impacts firm performance as well.

• Nuclear Engineering and Technology
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• v.53 no.3
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• pp.888-893
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• 2021

The International Atomic Energy Agency has developed a tomographic imaging system for accomplishing the total fuel rod-by-rod verification time of fuel assemblies within the order of 1-2 h, however, there are still limitations for some fuel types. The aim of this study is to develop a deep learning-based denoising process resulting in increasing the tomographic image acquisition speed of fuel assembly compared to the conventional techniques. Convolutional AutoEncoder (CAE) was employed for denoising the low-quality images reconstructed by filtered back-projection (FBP) algorithm. The image data set was constructed by the Monte Carlo method with the FBP and ground truth (GT) images for 511 patterns of missing fuel rods. The de-noising performance of the CAE model was evaluated by comparing the pixel-by-pixel subtracted images between the GT and FBP images and the GT and CAE images; the average differences of the pixel values for the sample image 1, 2, and 3 were 7.7%, 28.0% and 44.7% for the FBP images, and 0.5%, 1.4% and 1.9% for the predicted image, respectively. Even for the FBP images not discriminable the source patterns, the CAE model could successfully estimate the patterns similarly with the GT image.

• Journal of Distribution Science
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• v.19 no.5
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• pp.61-68
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• 2021

Purpose: Retailing is one of the fastest-growing sectors in Vietnam. In the sight of foreign investors, the Vietnamese retailing market is very prospective. However, the current competition is very intensive, and retailers are keen on gaining new customers. Hence, Vietnamese retailers have paid more attention to customer loyalty. Saigon Co.op is one of the largest retailers in Vietnam, but its consumers have more choices over a retailer. As a result, Saigon Co.op has realized the significance of customer loyalty. This study aims to determine the factors impacting customer loyalty of Saigon Co.op supermarket in Vietnam. Research design, data and methodology: this study applied the multiple regression analysis with 250 samples collected from Saigon Co.op customers. The questionnaire is provided to respondents via Google Form, and the link is sent to the fan page of Co.op mart on Facebook. Two hundred eighty-seven samples were collected, but 37 samples were removed due to missing values. Exploratory Factor Analysis (EFA) and regression analysis are used for data analysis on SPSS software version 20. Results: The findings show all four determinants of Saigon Co.op's customer loyalty, including Product Quality, Brand Image, Price Strategy and Service Quality. Conclusions: managerial recommendations are provided for supermarkets to improve their customer loyalty in Vietnam and other emerging markets. Limitations and suggestions for further research are also discussed.