• Korea Trade Review
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• v.47 no.2
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• pp.175-193
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• 2022

This study analyzes the effects of road transportation networks on the local economy in korea. The analysis methods are SNA and spatial panel regression model. The subjects of this study are inland areas of Korea, and the research period is from 2010 to 2019. The network analysis showed that the connection centrality of Gyeongg-do was high internally and externally. Gyeonggi-do has played a central role in the domestic road freight transportation industry. The results of spatial panel regression analysis showed that there was economic competition between regions. Domestic road transportation industry has been competitive among regions and has economic ripple effect. And Internal cargo has been shown to boost the economy of the region. But internal cargo has been shown to lower the economy of surrounding regions, but external cargo has been shown to increase the economy. In order to revitalize the local economy, it is necessary to increase road cargo.

• Journal of Distribution Science
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• v.19 no.10
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• pp.87-97
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• 2021

Purpose: Compared with the past when Japanese retailers used to hesitate to open their shops in the Korean market, because of anti-Japan sentiment, they show confidence in Korea in recent. This study, thus, aims at examining how socio-demographic factors have an impact on customer attitudes towards a Japanese retailer as a shopping destination. Research design, data, and methodology: After the literature review process, the authors have developed a variety of questions to verify the relationship amongst the variables like nationalism, consumer ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. Furthermore, after collected questionnaires, the authors used confirmative factor analysis (CFA), T test and linear regression analysis to verify the 25 hypotheses developed. Results: Except for a household size element, it is found that gender, age, education and income levels are related to the degree of nationalism, ethnocentrism, war animosity, store country-of-origin and anti-Japan sentiment. In other words, socio-economic elements influenced Korean customer attitudes towards Japanese retailers. Conclusions: Korean customers tend to show different shopping attitudes towards the Japanese retailers, depending on the characteristics of socio-demographic elements. Furthermore, changing socio-demographic factors will provide positive business opportunities for Japanese retailers in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.120-121
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• 2023

Recently, there has been a continuous imbalance between the demand and supply in the shipping industry. Consequently, shipping companies are implementing blank sailing to adjust the supply of vessels and achieve a balance between demand and supply. Blank sailing can create negative ripple effects by delaying cargo transportation, so this study uses Poisson regression analysis,

• Journal of Navigation and Port Research
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• v.34 no.5
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• pp.389-395
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• 2010

Recently, it becomes important for container ports to gain competitiveness through service differentiation strategies. These strategies require an objective evaluation on consumer needs. For that reason, this study aims at developing the scale and measurement methods for service quality. Container shipping companies calling at Busan are targeted for the empirical analyses. The measurement items are presented for the services that they are provided from entry into a port to departure from a port. Exploratory factor analysis and validity analysis are done to derive a service quality scale from entry to departure. The result of regression analysis implies that the service quality scale is useful to increase customer satisfaction and to establish managerial strategies.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.3
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• pp.117-131
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• 2014

As interests in the management of government-owned corporation rise, in these days, debt reduction and normalization of management of those companies have been proceeding under the lead of government. At this point, it is very important to seek internal marketing method for improvement of internal employees' satisfaction, loyalty and organization performance. This study analyzes impact of factors of internal marketing effect on organization satisfaction, loyalty and organization performance in the context of the domestic public companies, the Korea Electric Power Corporation (KEPCO) and the Korea Water Resources Corporation (K-WATER)'s employees empirically. There are some significant differences between the two publics. It is proved that delegation of the authority influences on internal satisfaction and organization performance in the case of KEPCO, and education and training influence on internal satisfaction and organization performance in the case of K-WATER. On the other hand, in the case of K-WATER, any internal marketing factors don't influence on loyalty. The results of this study show somewhat different characteristics depending on the characteristics of firm, however, it is expected that this study can be very useful in regards to similar public enterprises or businesses.

• Journal of the Korean Society of Systems Engineering
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• v.7 no.2
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• pp.21-30
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• 2011

The contractor management for the effective defense project is essential factor in the modern defense acquisition project. The occurrence of Improper Businessman causes the reason in which defense acquisition project is unable to be reasonably fulfilled and setback to the deployment of defense weapon system. In this paper, we develop a prediction model for the effective defense project by using the Discriminant Analysis, the Logistic Regression & Artificial Neural Network and analyse the core variables that determine the Improper Businessman in many variables. It is expected that our model can be used to improve the project management capability of defense acquisition and contribute to the establishment of efficient procurement procedure through entry of the reliable domestic manufacturer.

• Journal of the military operations research society of Korea
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• v.31 no.1
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• pp.26-41
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• 2005

The ROK TRANSCOM and Army Logistics Command have established wartime overland transportation plans. They have to mobilize several wartime overland transportation troops in order to meet the wartime transportation requirement. But there are some uncertainties in the process of transportation such as the number of vehicles to mobilize, the vehicle utilization factor, and round trip time. Here, we established two models. One is the simulation model to evaluate the transportation capability considering uncertain factors. The simulation model is executed with two scenarios and then the results are analyzed through a sensitivity analysis. The other model is the regression model to analyze the effects of transportation factors toward capability.

• Journal of Korea Port Economic Association
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• v.33 no.3
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• pp.35-52
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• 2017

Interest and demand in heavy cargo logistics is increasing and becoming more diverse as economic scales have expanded and manufacturing activity has increased. Although cargo moves via maritime and/or land transportation, there is currently insufficient research on the actual condition of heavy cargo logistics. The purpose of this study is to carry out an in-depth analysis of heavy cargo laws, systems, logistics patterns, and current transportation status. By proposing measures to solve existing problems, this study aims to make an important and ongoing contribution to the scarcely studied field of heavy cargo logistics. The result of regression analysis on the main seven factors show that transportation frequency and law/system structure have a positive effect on working conditions. Furthermore, the result of correlation analysis on the main seven factors show that the cargo weight variable is highly positively correlated with cargo size. Also, the working conditions variable is highly positively correlated with the law/system structure. Detailed proposal measures to solve existing problems are summarized as follows. First, it is necessary to establish a clear concept of heavy cargo as numerous existing definitions differ. Second, laws and provisions relating to maritime and land transportation of heavy cargo need to be established and consolidated as current applicable legislation is insufficient. Third, the classification system for heavy cargo transportation needs improvement. Fourth, it is necessary to improve transportation performance statistics and the aggregate criteria system. Finally, the management system of heavy cargo also needs improvement.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.5
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• pp.253-263
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• 2021

Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.333-344
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• 2020

This research has four specific objectives: (1) identifying factors that affect customer satisfaction with less than container load (LCL) cargo services of logistics companies in HoChiMinh City (HCMC), (2) measuring the level of impact of the factors, (3) testing the difference in satisfaction among groups of customers with different characteristics in terms of type of business and time of using LCL cargo services, and (4) proposing some management implications to improve the quality of LCL cargo services. Researchers interviewed 210 customers who enjoyed the LCL cargo service in HCMC for at least the last six months, using the convenient sampling method. SPSS 20 was used to analyze the reliability of the scale through the Cronbach's alpha coefficient, then exploratory factor analysis and multiple linear regression analysis were used. The results identified the six factors that influence positively customer satisfaction of LCL cargo services of logistics companies in HCMC, by decreasing importance: service process, image, resource, price, management, and outcomes. The results show that there is no difference in customer satisfaction with LCL cargo services by types of business as well as time of using services. The research suggests some implications for the management of logistics companies in HCMC to enhance customer satisfaction.