• Proceedings of the CALSEC Conference
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• 1999.11a
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• pp.621-626
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• 1999

전자상거래는 ‘제3의 산업혁명’이라는 별칭이 무색하지 않을 만큼 유통구조 뿐만 아니라 산업 전반에 걸쳐 일대 변혁을 가져오고 있다. 전자상거래 중에서도 인터넷 쇼핑은 가장 활성화가 빠르고, 성장 가능성이 무한한 분야이다. 사이버 쇼핑 시대가 다가옴에 따라 소비자가 인터넷 쇼핑몰을 이용할 때, 어떠한 요인들이 소비자의 만족에 직접적으로 영향을 미치고 있는가에 대한 연구가 요구되고 있다. 이를 따라 본 연구에서는 인터넷 쇼핑몰의 이용자를 대상으로 한 설문조사를 통해 인터넷 쇼핑몰의 소비자 만족에 영향을 미치는 요인을 분석 하였다. 설문조사 내용을 다중회귀모형을 통해 분석한 결과, 인터넷 쇼핑몰의 인터넷 상품의 품질, 제공 정보의 종류, 제공 정보의 품질, 주문 시간의 편리성, 주문 취소의 편리성이 인터넷 쇼핑몰의 만족과 유의적인 정의(+) 상관관계를 갖는 것으로 나타났다. 그리고 이와는 반대로 인터넷 상품의 가격 요인, 개인 정보 누출의 위험성은 유의적인 부의(-) 상관관계를 갖는 것으로 나타났다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.754-760
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• 2004

The purpose of this paper is to examine the empirical analysis for charging factors and the evaluation models of internet site. Thus this is to analyze the charging factors affecting the consumer satisfaction of health information sites in the Internet. Based on the covariance structural model applied to a customer survey, this study shows that among the characteristics of the site, contents has the most significant effect on charging factor and customer satisfaction, which in turn affects the consumer willingness to recommend the site to others.

• Journal of Korea Port Economic Association
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• v.37 no.3
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• pp.1-17
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• 2021

Forecasting the daily volume of container is important in many aspects of port operation. In this article, we utilized a machine-learning algorithm based on decision tree to predict future container throughput of Busan port. Accurate volume forecasting improves operational efficiency and service levels by reducing costs and shipowner latency. We showed that our method is capable of accurately and reliably predicting container throughput in short-term(days). Forecasting accuracy was improved by more than 22% over time series methods(ARIMA). We also demonstrated that the current method is assumption-free and not prone to human bias. We expect that such method could be useful in a broad range of fields.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1293-1305
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• 2016

In this paper, we develop debt collection predictive models for the person in arrears by utilizing the direct loan data of the Korea Student Aid Foundation. We suggest credit risk scorecards for overdue student direct loan using the developed 3 models. Model 1 is designed for 1 month overdue, Model 2 is designed for 2 months overdue, and Model 3 is designed for overdue over 2 months. Model 1 shows that the major influencing factors for the delinquency are overdue account, due data for payment, balance, household income. Model 2 shows that the major influencing factors for delinquency loan are days in arrears, balance, due date for payment, arrears. Model 3 shows that the major influencing factors for delinquency are the number of overdue in recent 3 months, due data for payment, overdue account, arrears. The debt collection predictive models and credit risk scorecards in this study will be the basis for segmented management service and the call & collection strategies for preventing delinquency.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.321-331
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• 2017

The objective of this study is to analyze the factors affecting the pedestrian accidents of roundabout near schools. To this end, this study has focus on the comparative analysis of pedestrian accidents across different school areas. The traffic accident data from 2007 to 2014 are collected from TAAS data set of Road Traffic Authority. To develop the pedestrian accident rate model, the linear regression model has been utilized in this study. 28 explanatory variables such as geometry and traffic volume factors are used. The main results are summarized as follows. First, the null hypotheses that the number of pedestrian accidents are the same are rejected. Second, 5 multiple linear regression accident models with higher statistical significance (adjusted $R^2$ of 0.651~0.788) have been developed. Third, while the common variables of 3 models (model I~III) related to school location are evaluated to be the pedestrian island, crosswalk, types of roundabout, elementary school and bus stop. Fourth, while the common variable of 3 models (model III~V) related to near school area or not is evaluated to be pedestrian island, type of roundabout, sidewalk, elementary school, speed hump, speed limit sign and number of entry lane. As a result, the installation of pedestrian islands and crosswalk might be expected to decrease the number of pedestrian accidents near schools.

• 재활복지
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• v.21 no.2
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• pp.169-190
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• 2017

The purpose of this study was to investigate item goodness-of-fit of Scale, Rasch rating scale model was applied to 5 dimensions 24 items of the Test of Performance Strategies (TOPS) in a sample of athletes with physical disabilities (n=215). An assumption to test Rasch Model, which is satisfaction of unidimensionality, is regarded through PCAR test, and WINSTEPS 3.65 program is used to test the goodness-of-fit of items. The results of this study were: First, 3-point rating category was appropriate for the TOPS instead of the existing 5-point rating category. Second, as a result of analyzing the goodness-of-fit of the items, 21 items of the TOPS were suitable, but 3 items were not. Third, the item reliability of person separation of the TOPS was acceptable, but the person reliability of item separation was not suitable and it was necessary to adjust the item order considering the difficulty level of the items. Fourth, as a result of comparing the individual attribute score and the difficulty level through the Item-Person Map, the distribution of the item difficulty distribution was shown to be biased in some factors compared to the personal attribute score distribution.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.281-293
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• 2020

Recently, large and small fires have been happening more often in Korea. Fire is one of the most frequent disasters along with traffic accidents in korean cities, and this frequency is closely related to the land use and the type of facilities. Therefore, in this study, the significance of fires was analyzed by considering land use, facility types, human and social factors and using 10 years of fire data in Jinju city. Based on this, OLS (Ordinary Least Square) regression analysis, SLM (Spatial Lag Model) and SEM (Spatial Error Model) using space weights, were compared and analyzed considering the location of the fire and each factor, then a statistical model with high suitability was presented. As a result, LISA analysis of spatial distribution patterns of fires in Jinju city was conducted, and it was proved that the frequency of fires was high in the order as follow, central commercial area, industrial area and residential area. Multiple regression analysis was performed by integrating demographic, social, and physical variables. Therefore, the three models were compared and analyzed by applying spatial weighting to the derived factors. As a result of the significance test, the spatial error model was analyzed to be the most significant. The facilities that have the highest correlation with fire occurrence were second type neighborhood facilities, followed by detached house, first type neighborhood facilities, number of households, and sales facilities. The results of this study are expected to be used as significant data to identify factors and manage fire safety in urban areas. Also, through the analysis of the standard deviation ellipsoid, the distribution characteristics of each facility in the residential area, industrial area, and central commercial area among the use areas were analyzed. In, the second type neighborhood facility with the highest fire risk was concentrated in the center. The results of these studies are expected to be used as useful data for identifying factors and managing fire safety in urban areas.

• Journal of Korea Technology Innovation Society
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• v.9 no.3
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• pp.451-470
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• 2006

This study aims to test factors on the success of Employee Suggestion Systems (ESS). Considering the difference between manufacturing and non-manufacturing firms in the use of ESS, this study analyzes the impact of the industrial sector. Partial Least Square (PLS) is employed to analyze data front employees in an automobile company and a bank. The result shows that there is no distinctive difference between two industries but there are some differences in the strength of the relationships such as e impact of pro-activity on idea generation, the work improvement on idea generation and idea generation on idea submission. Some suggestions for managing ESS in non-manufacturing firms are presented.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.209-225
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• 2009

This research has been studied to analyze affecting factors for the consumer's acceptance to mobile advertisement by worldwide survey into mobile users of Korea, U.S. and Japan. Based on TAM & Flow theory, our research adopts some factors for a theoretical model such as entertainment, information, irritation, credibility, flow experience, attitudes and acceptance intention. And our research collects data from common consumers & students of each countries to try comparative study with mobile users who has different scope & environment of markets. This data was analyzed based on using AMOS, the structural equation modeling and a second-generation multi variant technique, and has gained distinct advantages over other technique.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.255-266
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• 2021

The purpose of this study is to compare the effects of treatment on stage III stomach cancer data obtained from the SEER program of the National Cancer Institute and to identify the significant risk factors for the survival rates of stage III stomach cancer. Since the proportional hazards assumption was violated for treatment, we used the restricted mean survival time as an alternative to the proportional hazards model. The restricted mean survival time was estimated using pseudo-observations, and the effects of treatment were compared using a test statistic based on the estimated restricted mean survival times. We conducted the regression analysis using a generalized linear model to investigate the significant predictors for the restricted mean survival time of patients with stage III stomach cancer. We found that there was a significant difference between the restricted mean survival times of treatment groups. Age at diagnosis, race, substage, grade, tumor size, surgery, and treatment were significant predictors for the restricted mean survival time of patients with stage III stomach cancer. Surgery was the most significant predictor for increasing the restricted mean survival time of patients with stage III stomach cancer.