• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.559-563
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• 2010

황해경제자유구역은 환황해권 첨단기술의 국제협력 거점 조성이라는 비전과 국제수준의 첨단기술산업 클러스터 육성, 대 중국 수출입 전진기지 및 부가가치물류 육성을 목적으로 2007년 지정되어 사업이 추진 중에 있다. 황해경제자유구역 반경 15km 이내에 7개의 산업단지가 입지하고 있어 충남 서북부지역의 산업집적도는 날로 증가하고 있는 추세이다. 그러나 이를 지원할 주요 인프라 중 하나인 물류단지 시설은 전무한 실정이며 황해경제자유구역을 포함한 충남 서부지역의 물류거점 개발은 매우 미약하다. 본 연구의 목적은 첫째, 서해안 지역 물류거점 단지 조성의 필요성을 검토하고, 둘째, 물류단지 규모 및 성격을 부여하며, 셋째, 물류단지 도입기능을 설정하고자 한다. 연구목적을 달성하기 위해 물동량 수요예측과 주변지역 연계방안을 토대로 황해경제자유구역의 배후물류단지의 필요성과 조성방안을 제안하고자 한다.

• Journal of Navigation and Port Research
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• v.33 no.4
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• pp.263-270
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• 2009

Busan North port is facing crisis due to the opening of the New port. The North Port and NewPort are competing for a limited volume of cargoes and this competition is leading after all to price competition, lowering cargo work fee that may result in the failure of both This paper proposed the balanced development plans, which are the strategies of business tie-up and activation between the North Port and NewPort by introducing the strategy of "co-opetition" and the analysis for the success factor of co-opetition: to solve this operational problems on Busan port. It is found out that activation strategy is more successful co-opetition strategy than business tie-up strategy. The execution for the two co-opetition strategies will lead Busan Port to the balanced development as well as the enhanced competitiveness and will leap Busan port into global hub port as well.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.14
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• pp.219-233
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• 2000

Korea has been faced a difficult situation with regard to the cost of physical distribution(PD). The problem have arisen from the fact that Korean firms have far different cost structures of the PD according to its industry or business. High PD costs sometimes reduce firms' operating income and perceived competitive disadvantages not only in domestic but in world-wide business. In this research, we examine the factors affecting firm's PD cost by investigating financial and non-financial variables such as variable cost to sales ratio and number of employee of a firm. Analyses are performed to construct research models with t-test and the logistic regression estimation.

• Proceedings of the Korean System Dynamics Society
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• 2007.11a
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• pp.33-48
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• 2007

Recently, due to the globalization of business, the efficient supply chain management(SCM) is considered as the key initiatives of business activities, and the leading logistics companies are trying to provide the differentiated 3PL services to meet their customers' needs. The domestic 3PL market scale, however, is still small and the logistics companies' competence is not good enough, so that 3PL companies need to concentrate on their logistics strategies and the government's supports and related policies are required. In this point of view, we developed the system dynamics model and forecasted middle or long-term domestic 3PL market. Through the result, we suggest the roles of government and the directions of policies to support the domestic 3PL market effectively.

• Korean System Dynamics Review
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• v.9 no.1
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• pp.107-123
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• 2008

Recently, due to the globalization of business, the efficient supply chain management(SCM) is considered as the key initiatives of business activities, and the leading logistics companies are trying to provide the differentiated 3PL services to meet their customers' needs. The domestic 3PL market scale, however, is still small and the logistics companies' competence is not good enough, so that 3PL companies need to concentrate on their logistics strategies and the government's supports and related policies are required. In this point of view, we developed the system dynamics model and forecasted middle or long-term domestic 3PL market. Through the result, we suggest the roles of government and the directions of policies to support the domestic 3PL market effectively.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.2
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• pp.105-127
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• 2003

In this paper, four different data mining techniques, two neural networks and two statistical modeling techniques, are compared in terms of prediction accuracy in the context of bankruptcy prediction. In business setting, how to accurately detect the condition of a firm has been an important event in the literature. In neural networks, Backpropagation (BP) network and the Kohonen self-organizing feature map, are selected and compared each other while in statistical modeling techniques, discriminant analysis and logistic regression are also performed to provide performance benchmarks for the neural network experiment. The findings suggest that the BP network is a better choice among the data mining tools compared. This paper also identified some distinctive characteristics of Kohonen self-organizing feature map.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.1
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• pp.74-83
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• 2007

These days business logistics has become one of the very important factors of logistics cost reduction and customer service satisfaction. In order to control business logistics more effectively, many companies must be concerned about logistics performance.This study aims at analyzing information system characteristic and logistics performance. The information system characteristic variables are considered IS resource, IS strategic role. The logistics performance variables are considered logistic cost, customer service.For data on the 301 sampled company, a mail survey using a questionnaire was conducted in this study. The following results were obtained.First, IS characteristic variables were significant for logistics performance. Specially, efficient management of IS manpower and IS planning, present IS were significant for logistics performance. Second, there also were IS manpower and IS planning, present IS that indentifing high logistics performance group and low logistics performance group.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.7-8
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• 2018

This study proposes an analysis of the Word2vec-based machine learning classifiers for the sake of opinion mining tasks. As a bench-marking method, BOW (Bag-of-Words) was adopted. On the basis of utilizing the Word2vec and BOW as feature extraction methods, we applied Laptop and Restaurant dataset to LR, DT, SVM, RF classifiers. The results showed that the Word2vec feature extraction yields more improved performance.

• Journal of Korea Port Economic Association
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• v.18 no.2
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• pp.91-108
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• 2002

The World has been rapidly changing into either technological aspects or perception of those who has utilised to the corresponding informational impact. Whatever areas we have actually been involved in are strongly connected with this evolution of informational technology in one way or another. Logistics is not a exception as well as trade. Two main routes in distribution channel such as commercial and physical flow of goods, have been operating in terms of I-business. In order to activate E-trade with E-commerce, E-logistics should be utilised and emphasized in more efficient and effective manner of doing job as a facilitator. So, in this paper, it studied the role of E-logistics to make E-trade better work as well as to look into present situations in E-commerce. Then, it was identified that some facilities as 3PL or shipping company have to adopt information in their business process with a view of valued add service providers. This means those who have implemented E-Logistics activities, should be more competitive in the market, only when they provide the value-added total logistics services.

• Journal of Smart Tourism
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• v.2 no.2
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• pp.15-19
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• 2022

Destination marketing organizations (DMOs) utilize the official website for marketing and promotional purposes, while tourists often navigate through the official website to gather necessary information for their upcoming trips. With the advancement of business analytics, DMOs may need to exploit the clickstream data generated through their official website to develop more suitable and persuasive strategic marketing and promotional activities. As such, the primary objective of the current study is to show whether clickstream data can successfully identify the trip purposes of a particular user. Using a latent class analysis and multinomial logistic regression, this study found the meaningful and statistically significant variations in webpage visits among different trip purpose groups (e.g., weekend getaways, day-trippers, and other purposes). The findings of this study would provide a foundation for more data-centric destination marketing and management practice.