• Journal of Korea Trade
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• v.27 no.2
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• pp.22-46
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• 2023

Purpose - study aims to investigate the relationships between global value chain (GVC)- and transportation-related determinants and economic performance. Also, moderating effects of COVID-19 on the relationships are theoretically and empirically discussed. A limitation of previous studies includes their over-reliance on the opportunities of GVC participation and larger transportation. This study represents the challenges associated with them. Also, it shows how GVC and logistics can be difficult in case of a market fluctuation such as COVID-19. Design/methodology - The sample for this study includes 828 observations from 138 countries. A semi-panel data set has been used. Six observations for each country are used to empirically test the hypotheses and a Two-way cluster model is conducted. Findings - It is confirmed that GVC forward participation contributes more than the backward participation to enhance performance. Transportation infrastructure is critical, but large scales of marine and air transportations are not positive in terms of economic performance. Stricter government response to COVID-19 negatively moderates economic performance by GVC backward participation and transportation infrastructure. Originality/value - The spread of COVID-19 is causing a severe collapse of GVC and transportation. This study empirically verifies the moderating effects of the government stringency on GVC and transportation. Previous studies usually discuss a positive impact of GVC and transportation size on economic performance. However, this study aims to show various challenges behind GVC participation and large scale transportation.

• The Journal of Industrial Distribution & Business
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• v.11 no.2
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• pp.25-31
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• 2020

Purpose: The AEO (Authorized Economic Operator) program, created in 2001 in the United States due to 9.11 terrorist's attack, fundamentally changed the trade environment. Korea, which introduced AEO program in 2009, has become one of the world's top countries in the program by ranking 6th in the number of AEO certified companies and the world's No. 1 in MRA (Mutual Recognition Agreement) conclusions. In this paper, we examined what trade-economic and non-economic effects the AEO program and its MRA have in Korea. Research design, data and methodology: In this study we developed a model to verify the impact between utilization of AEO and trade-economic effects of the AEO and its MRA. After analyzing the validity and reliability of the model through Structural Equation Model we conducted a survey to request AEO companies to respond their experience on the effects of AEO program and MRA. As a result, 196 responses were received from 176 AEO companies and utilized in the analysis. Results: With regard to economic effects, the AEO program and the MRA have not been directly linked to financial performance, such as increased sales, increased export and import volumes, reduced management costs, and increased operating profit margins. However, it was analyzed that the positive effects of supply chain management were evident, such as strengthening self-security, monitoring and evaluating risks regularly, strengthening cooperation with trading companies, enhancing cargo tracking capabilities, and reducing the time required for export and import. Conclusions: When it comes to the trade-economic effects of AEO program and its MRA, AEO companies did not satisfy with direct effects, such as increased sales and volume of imports and exports, reduced logistics costs. However, non-economic effects, such as reduced time in customs clearance, freight tracking capability, enhanced security in supply chain are still appears to be big for them. In a rapidly changing trade environment the AEO and MRA are still useful. Therefore the government needs to encourage non-AEO companies to join the AEO program, expand MRA conclusion with AEO adopted countries especially developing ones and help AEO companies make good use of AEO and MRA.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1337-1345
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• 2009

In the railway, the delay of a train may affect the schedule of other trains. Hence, the timetable management activity involving overtaking and transferring becomes an important issue. The timetable rescheduling is the conflict resolution of the disrupted schedule and a matter of deciding the sequence of moves among trains and the place for meeting. In Korea, there are few cases where operations research models were applied to railway timetable rescheduling problem in consideration of the transfer between Korea Train eXpress (KTX) trains and conventional trains. Hence, we present a mathematical approach that can minimize the total delay of the whole trains secondly. We applied the model to the exemplary section of a double-line track, the Gyung-Boo Line, and it is confirmed that the mathematical model could effectively address the transfer service as well as the complicated railway conflicts of Gyung-Boo Line.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.82-89
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• 2019

The reason why NCS education is conducted in college is because students are expected to improve their skills through practical education. In addition, NCS education is expected to have a positive impact on job competence and competitiveness. The purpose of this study is to explain the necessity of NCS education, and to analyze whether the education transition and practical performance are manifested. For this purpose, the research model was composed of "NCS Education ${\Rightarrow}$ Educational Transition ${\Rightarrow}$ Practical Results" and surveyed about 300 college students in the metropolitan area. If NCS education is necessary in practice, colleges and other educational institutions should plan to make NCS education operate efficiently. As a analysis result, it was confirmed that the internal consistency was secured and both the intensive validity & discriminant validity were confirmed in the validity. As a result of using the structural equation model, this research model was found to be suitable. As a result of the hypothesis test, it is analyzed that the standardization coefficient of the research hypothesis is above the appropriate level and the correlation is highly formed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.25-38
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• 2019

This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

• International Commerce and Information Review
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• v.8 no.2
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• pp.187-210
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• 2006

China continues to experience an expansion of its e-Commerce industry. This is true both for B2C and for B2B sectors. B2C websites are created by various players. B2C E-commerce is divided into three categories in China: online direct sale, online retail, and online booking services. Online retail remains the major form of B2C business, and online booking services and online direct sale also maintained rapid growth. The rapid growth of B2C E-commerce in China was due to three factors. Firstly, the number of Internet users is increasing, which expands E-commerce user base. Secondly, users' acceptance and recognition of E-commerce are gradually increasing. Lastly, improvement on payment, logistics and credit also provides a better and better industrial environment for B2C e-commerce. The B2C sector has seen a low transaction volume in spite of its large number of websites. The B2B sectors has seen a higher transaction volume and more stable growth than the B2C sector. There is a wide range of the total market size estimated by different sources. China's C2C market witnessed rapid growth in 2005, the market growth may slow down in 2006 and 2007, due to heavy market competition, challenges to the business model and slow corporate user growth. But there is the bottlenecks in E-commerce in China. The purpose of this paper is contribute to development E-commerce in China by finding the solutions of the bottlenecks in E-commerce in China.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.3
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• pp.75-96
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• 2016

This paper investigates the usefulness of drones in an urban delivery system. We define the vehicle and drone routing problem with time window (VDRPTW) and present a model that can describe a dual mode delivery system consisting of drones and vehicles in the metropolitan area. Drones are relatively free from traffic congestion but have limited flight range and capacity. Vehicles are not free from traffic congestion, and the complexity of urban road network reduces the efficiency of vehicles. Using drones and vehicles together can reduce inefficiency of the urban delivery system because of their complementary cooperation. In this paper, we assume that drones operate in a point-to-point manner between the depot and customers, and that customers in the need of fast delivery are willing to pay additional charges. For the experiment datasets, we use instances of Solomon (1987), which are well known in the Vehicle Routing Problem society. Moreover, to mirror the urban logistics demand trend, customers who want fast delivery are added to the Solomon's instances. We propose a hybrid evolutionary algorithm for solving VDRPTW. The experiment results provide different useful insights according to the geographical distributions of customers. In the instances where customers are randomly located and in instances where some customers are randomly located while others form some clusters, the dual mode delivery system displays lower total cost and higher customer satisfaction. In instances with clustered customers, the dual mode delivery system exhibits narrow competition for the total cost with the delivery system that uses only vehicles. In this case, using drones and vehicles together can reduce the level of dissatisfaction of customers who take their cargo over the time-window. From the view point of strategic flexibility, the dual mode delivery system appears to be more interesting. In meeting the objective of maximizing customer satisfaction, the use of drones and vehicles incurs less cost and requires fewer resources.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.9-16
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• 2020

This study aims to deeply analyze the information consumption behavior structure of rural residents in Changchun, China. and further improve the information consumption level of rural residents. Questionnaire survey and statistical analysis were used in this study. First, Through in-depth interview and open questionnaire collection and compilation of measurement questions. Secondly, residents in 15 rural areas around Changchun were selected for the survey, Finally, SPSS23.0 was used for exploratory factor analysis of recovered data, and Mplus7.4 was used for confirmatory factor analysis. The results show that the structure of information consumption behavior of rural residents in Changchun includes three dimensions of information demand, information literacy and payment ability, which is corresponding to the previous studies on information consumption behavior structure's demand power, purchasing power and information quality. This study has certain empirical validity.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.101-108
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• 2019

Family tourism has become the mainstream demand of the tourism market, and it is also an effective way to obtain happiness. This paper takes family tourists as the research object, takes the family tourism family affection interaction behavior and the experience value relationship as the link, Empirically tests the family tourism "interaction behavior-social support-experience value" conceptual model and the relationship hypothesis. The results showed that interaction of family affection had a positive and significant effect on the functional, cognitive and emotional experience value of family tourists. Family interaction in family tourism has a significant positive impact on social support. Social support has significant positive effects on functional, cognitive, emotional and overall experiential values. This conclusion expands the theoretical and empirical research on the relationship between interaction behavior and experience value, and provides a basis for understanding the interaction behavior and experience value of family love from the perspective of tourism experience essence.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.43-61
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• 2014

This research is an application of game theory to developing the supplier selection and demand allocation mechanism, which are the essential and major research areas of supply chain planning and operation. In this research, the most popular and widely accepted mechanism, the progressive reverse auction is analyzed and compared with the other game theoretic approach, Kalai-Smorodinsky Bargaining Solution in the viewpoint of holistic efficiency of supply chain operation. To logically and exquisitely compare the efficiencies, a heuristic algorithm based on Genetic Algorithm is devised to find the other optimal demand allocation plan. A well known metric, profit-cost ratio, as well as profit functions for both suppliers and buyer has been designed for evaluating the overall profitability of supply chain. The experimental results with synthesis data and supply chain model which were made to mimic practical supply chain are illustrated and analyzed to show how the proposed approach can enhance the profitability of supply chain planning. Based on the result, it can be said that the proposed mechanism using bargainging solution mayguarantee the better profitability for the whole supply chin including both suppliers and buyer, even though quite small portion of buyer's profitability should be sacrified.