• Journal of the Korean Society of Costume
• /
• v.48
• /
• pp.169-182
• /
• 1999

This study was aimed at comparing service quality measurements of apparel stores. It Also presented an outcome to a company which service measurement worked better and more efficient. Four measures were used in this research such as SERVQUAL, SERVPERF, weighted SERVQUAL and weigthe SERVPERF. In the empirical research statistical data were collected in June of 1998. The subjects in the study were 244 women in their 20s. The SPSS was used to analyze data, Frequency percentage points Factor Analysis Cronbach's a and regression were put into use in the study. From the result of it the SERVPERF was proven to have a good reliability and validity. It also well described an overall service quality of apparel stores. The SERVPERF is found out to be one of the best measurement in this study.

• Journal of the Korean Society for information Management
• /
• v.25 no.4
• /
• pp.327-345
• /
• 2008

The main purposes of this study are to construct a Korean science network from journal contributions data of Korean researchers, and to analyze the structure and characteristics of the network. First of all, the association matrix of 140 scholarly domains are calculated based on the number of contributions in common journals, and then the Pathfinder network algorithm is applied to those matrix. The resulting network has several hubs such as 'Biology', 'Korean Language & Linguistics', 'Physics', etc. The entropy formula and several centrality measures for the weighted networks are adopted to identify the centralities and interdisciplinarity of each scholarly domain. In particular, the date hubs, which have several weak links, are successively distinguished by local and global triangle betweenness centrality measures.

• Journal of Energy Engineering
• /
• v.26 no.3
• /
• pp.1-10
• /
• 2017

Among the four indicators that made up the evaluation indicators, the indicator on PR content scored the highest at 75.8 (3.79 out of a 5-point scale) followed by 74.4 (3.72) for PR media outlet, 69.6 (3.48) for PR impact, and 65.4 (3.27) for PR agency. The evaluation indicator or weighted average value of these indicators was 71.6 (3.58 out of a 5-point scale).In future research agendas, the development and analysis of quantitative evaluation indices that include changes in electricity consumption or auto fuel consumption is needed.

• Journal of Korean Society of Transportation
• /
• v.28 no.1
• /
• pp.135-142
• /
• 2010

The convenient techniques for predicting the bus arrival time have used the data obtained from the buses belong to the same company only. Consequently, the conventional techniques have often failed to predict the bus arrival time at the downstream bus stops due to the lack of the data during congestion time period. The primary objective of this study is to overcome the weakness of the conventional techniques. The estimation model developed based on the data obtained from Bus Information System(BIS) and Bus management System(BMS). The proposed model predicts the bus arrival time at bus stops by using the data of all buses travelling same roadway section during the same time period. In the tests, the proposed model had a good accuracy of predicting the bus arrival time at the bus stops in terms of statistical measurements (e.g., root mean square error). Overall, the empirical results were very encouraging: the model maintains a prediction job during the morning and evening peak periods and delivers excellent results for the severely congested roadways that are of the most practical interest.

• Journal of Korea Water Resources Association
• /
• v.49 no.8
• /
• pp.645-656
• /
• 2016

The study performed a regional flood frequency analysis and proposed a regression equation to estimate design floods corresponding to return periods for ungauged basins in Geum-river basin. Five preliminary tests were employed to investigate hydrological independence and homogeneity of streamflow data, i.e. the lag-one autocorrelation test, time homogeneity test, Grubbs-Beck outlier test, discordancy measure test ($D_i$), and regional homogeneity measure (H). The test results showed that streamflow data were time-independent, discordant and homogeneous within the basin. Using five probability distributions (generalized extreme value (GEV), three-parameter log-normal (LN-III), Pearson type 3 (P-III), generalized logistic (GLO), generalized Pareto (GPA)), comparative regional flood frequency analyses were carried out for the region. Based on the L-moment ratio diagram, average weighted distance (AWD) and goodness-of-fit statistics ($Z^{DIST}$), the GLO distribution was selected as the best fit model for Geum-river basin. Using the GLO, a regression equation was developed for estimating regional design floods, and validated by comparing the estimated and observed streamflows at the Ganggyeong station.