• Asia-Pacific Journal of Business
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• v.13 no.4
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• pp.61-77
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• 2022

Purpose - The purpose of this study was to explore the relationship between C2C logistics service quality(convenience, responsiveness, reliability, information and empathy) customer satisfaction and customer loyalty. Design/methodology/approach - This study collected 252 survey data from consumers who use C2C platform in China. Then using SPSS 24.0 in order to analyze the data. This study used SPSS 24.0 to perform empirical analysis with 252 people who use C2C platform in China. Findings - First, it was confirmed that the quality of logistics service(convenience, responsiveness, reliability, information and empathy) had a positive effect on customer satisfaction. Second, logistics service quality(convenience, responsiveness, reliability, information and empathy) positively affects the customer loyalty. Third, there is also a strong relationship between customer satisfaction and customer loyalty. Research implications or Originality - It is well known that logistics is an important part of e-commerce. Research on the influence of B2B logistics service quality on customer satisfaction and customer loyalty is more currently, but research on C2C is relatively less. Our study contributes the related research area by doing empirical analysis of the relationship between the logistics service quality and customer satisfaction and customer loyalty to provide development suggestions for C2C sellers.

• Journal of Distribution Science
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• v.14 no.3
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• pp.23-30
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• 2016

Purpose - This research focuses on the analysis of logistics barriers in Korea, China and Japan facing the barriers of overseas-expanded manufacturers with other countries. With the tree countries are emerging as the biggest trade partners in Northeast Asia, their logistics barriers are applied with similar verification methods of preceding researches such as Carter(1997). Research design, data and methodology - Collecting the statistics data from the three countries' overseas-expanded manufacturers, t-verification was performed in order to analyze average value and verify any significance. Additionally, multiple regression analysis was used to analyze any influence on the relationship in Korean logistics barrier and Chinese and Japanese expansion to Korean market. Results - Statistics suggested that three countries' logistics barriers are significantly differentiated by each verification categories, and Korean barrier negatively affected Chinese and Japanese manufacturers coming into Korean market. Conclusions - As a result of multiple regression analysis of the influencing relationship between Korea's logistics barrier and Chinese and Japanese companies coming into Korean market, all of the Korean barriers are affecting the companies as an obstructive factor, and it is proved to be statistically meaningful. Therefore, in order to reduce Chinese and Japanese companies' cost burden, it is necessary that not only reasonable charge system and taxation support but also comprehensive measure establishment reduce Korea's logistics barriers. However, since this research has a limitation in samples and shows a period of 5 years in the three nations' trade barriers, continuous and complementary researches are necessary in order to develop certain objectivity.

• Journal of Navigation and Port Research
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• v.36 no.7
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• pp.553-559
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• 2012

It is extremely important to predict the logistics requirements in a scientific and rational way. However, in recent years, the improvement effect on the prediction method is not very significant and the traditional statistical prediction method has the defects of low precision and poor interpretation of the prediction model, which cannot only guarantee the generalization ability of the prediction model theoretically, but also cannot explain the models effectively. Therefore, in combination with the theories of the spatial economics, industrial economics, and neo-classical economics, taking city of Erdos as the research object, the study identifies the leading industry that can produce a large number of cargoes, and further predicts the static logistics generation of the Erdos and hinterlands. By integrating various factors that can affect the regional logistics requirements, this study established a logistics requirements potential model from the aspect of spatial economic principles, and expanded the way of logistics requirements prediction from the single statistical principles to an new area of special and regional economics.

• Journal of Distribution Science
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• v.19 no.2
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• pp.65-75
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• 2021

Purpose: During the pandemic, a large number of orders forced online retailers of fresh produce to quickly change their emergency logistics capabilities to meet the needs of ordinary consumers during the pandemic. Our research aims to help online retailers establish an emergency physical distribution framework for fresh produce during disasters to meet consumer needs. Research design and methodology: 160 effective responses were collected from the online response team in Wuhan, China, and exploratory factor analysis was used to determine the emergency logistics capability framework. Twelve experts were invited online to collect their scoring opinions and use the entropy method to determine the importance of emergency logistics capabilities. Results: Our results have identified a total of 17 emergency logistics factors for online retailers, and we found that Transportation route planning and reconstruction capabilities, Emergency plan planning ability, and Supply chain real-time information sharing capability are the most important in the overall framework. Conclusions: This research completely established the physical distribution framework of fresh agricultural products online retailer in emergency situations. It enriches academic resources in the field of emergency distribution and provides a scientific basis for corporate managers to improve their physical distribution capabilities in emergency situations.

• Korea Trade Review
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• v.46 no.5
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• pp.31-47
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• 2021

Recently, third-party logistics and second-party logistics are well known as a form of logistics service. However, there are several opinions about the effectiveness of second-party logistics and third-party logistics. In this study, the efficiency of second-party logistics companies and third-party logistics companies, which are the main providers of logistics services, was compared and the sales impact on the logistics market was measured. Efficiency was measured using DEA's CCR and BCC models. Debt and equity were used as input variables, and sales, operating profit, and net income were used as output variables. As a result of measuring the efficiency of logistics companies, the efficiency of third-party logistics companies was higher than that of second-party logistics companies in 2019 and 2020, and it had a positive effect on the rate of change in sales.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.330-330
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• 2004

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.281-288
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• 2003

When comparing Korea logistics industry with advanced nations, in size, service scope, network and others, our domestic logistics industry is falling behind, and this problem will deter the efforts of South Korea becoming the logistics hub nation in North-east Asia. This study will focus on current conditions of th foreign and domestic logistics, presents policies and plans which will advance logistics industry in South Korea. The results of this study will promote logistics industry in Korea and attain the aim of being a Logistics Hub nation in North-east Asia.

• Journal of Ocean Engineering and Technology
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• v.34 no.6
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• pp.461-468
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• 2020

This study examined how national research and development (R&D) in the domain of logistics has changed recently in the Republic of Korea. We conducted basic statistical analysis and social network analysis on 5,327 logistics-related R&D projects undertaken during 2005-2019. Data for performing these analyses were collected from the R&D database of the National Science and Technology Information Service (NTIS). By constructing a co-occurrence matrix with keywords, we conducted degree and betweenness centrality analysis and visualized the network matrix to display a cluster map. This study presents our observations related to the following findings: (1) the chronical trends of logistics R&D, (2) focused fields of logistics R&D, (3) the relations among keywords, and (4) the characteristics of logistics R&D. Finally, we suggest policy implications to boost and diversify logistics R&D.

• Korea Trade Review
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• v.47 no.2
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• pp.19-29
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• 2022

This study evaluated the importance of automobile procurement logistics using AHP. Although automobile procurement and logistics is represented by JIT, internal and external risk factors for the automobile and logistics industries are increasing, so it is necessary to re-evaluate them and establish countermeasures. Therefore, this study conducted AHP analysis targeting 30 automobile procurement and logistics experts. Through previous studies and interviews, 4 factors for Tier 1 and 12 factors for Tier 2 were derived. As a result of AHP, the logistics factor was analyzed as the most important and the cost factor was less important than the other factors. This means that supply chain operation is more important than cost, and it is analyzed that stopping all supply chain participants is more damaging than logistics or inventory costs. Such research can provide implications not only for the automotive supply chain but also other industries with similar characteristics, and it is considered to be a meaningful study at the present time when the global supply chain is being reorganized.

• Journal of Korea Port Economic Association
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• v.22 no.1
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• pp.1-15
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• 2006

This paper analyzes how levels of logistics standardization are related to logistics costs. The study surveyed ratios of standard pallet use in order to measure levels of firms' standardization in logistics management. Research focused on how firms' logistics costs were related to their levels of logistics standardization and ratios of standard pallet use. After measuring use of standard pallets and logistics costs, optimal levels of logistics standardization were estimated based on survey data. Logistics costs and standardization were more related to labor than to freight volume or export. Results indicated that firms could reduce logistics costs by raising levels of logistics standardization; optimal levels of standard pallet use out of Korean firms' total manufacturing cargo volume were estimated at 44.26% for multi-standard pallets and 57.99% for a single standard pallet (a unit load system). The study demonstrated that adopting a single standard pallet results in better cost saving logistics systems than use of multi-standard pallet types. These results may explain why firms pursue standardization in logistics systems.