• International Commerce and Information Review
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• v.19 no.1
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• pp.3-21
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• 2017

As to 'E-Commerce Trade' or 'The Cross Border E-Commerce (CBEC)' which has shown rapid diffusion, Korean government is providing active support on the basis of idea that it has profound impact on increase of export. However, sporadic support propelled by various ministries and agencies are not effective and efficient at all on actual circumstances. Consequently, in order to promote consistency, effectiveness, and efficiency of supporting policy, it is desirable to clarify competent ministry and the duty of cooperation to the other ministries and agencies. For its own sake, it is necessary to amend each existing laws which scattered all over the business territory, or to legislate new enactments. Yet these methods are extremely tough to carry out, therefore, it seems that amending 'Electronic Trade Facilitation Act', which already exist and regulate 'paperless trade' would be a realistic alternative. For the diffusion of Korean CBEC especially export, in this study the author insists that amending this law to promote CBEC is the most reasonable way comparing to other ways with several reference materials.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.83-91
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• 2011

The accuracy of forecasting is remarkably important to reduce total cost or to increase customer services, so it has been studied by many researchers. In this paper, the artificial neural network (ANN), one of the most popular nonlinear forecasting methods, is compared with autoregressive integrated moving average(ARIMA) model through performing a prediction of container traffic. It uses a hybrid methodology that combines both the linear ARIAM and the nonlinear ANN model to improve forecasting performance. Also, it compares the methodology with other models in performance for prediction. In designing network structure, this work specially applies the genetic algorithm which is known as the effectively optimal algorithm in the huge and complex sample space. It includes the time delayed neural network (TDNN) as well as multi-layer perceptron (MLP) which is the most popular neural network model. Experimental results indicate that both ANN and Hybrid models outperform ARIMA model.

• Journal of the Korean Society of Costume
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• v.57 no.1 s.110
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• pp.118-129
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• 2007

Overflowing of fashion information that is derived from the development of various mass media has rather hindered adopters from appropriately screening fashion information. Thus, responsibilities of fashion journalists who play a role of communicating fashion information have become heavier. Fashion journalism may be defined as 'delivery of modes and involvement in production and logistics'. Since it connects fashion and culture industries with the public by reflecting fashion from diversified perspectives, the role of fashion journalism should never be overlooked in terms of culture as well as industry. This study analyzes fashion journalism from fashion-advanced country by reviewing the fashion journalism from the US, which is so-called fashion-advanced country and analyzing the contents of Vogue USA. This study made a historical review of fashion journalism through a reference study, and from a total of 24 volumes of Vogue USA from January 2004 through December 2005 classified articles by functions, tones, contents, and brands, pictorial records by functions, images, and brands, and ads by brands, quantitatively analyzing them. Further, through a case study it explored those articles and pictorial records which featured national characteristics in the USA, and examined how the fashion journalism in the USA imaged the fashion in the country. In addition, it tried to elicit the characteristics of fashion in the USA as a conclusion by categorizing those images while reviewing previous studies. The results show that Vogue USA features American fashion definitely. Thus, consequently it is easy to find images of American fashion in pictorial records, let alone categorizing them.

• Convergence Security Journal
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• v.14 no.4
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• pp.95-100
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• 2014

The trend of business work that is related to supply chain changed into e-business using the electronic document However, the small and medium enterprise organizations still use huge volume of paper document, especially in private sector. Recently, the need for eco-friendly and low cost logistics becomes increasing. For this, it has expanded to exchange or to use e-document rather than the paper or manual processing in supply chain business. Therefore, this paper proposed the electronic access system for supply chain by business process modeling. If it is using the proposed system, it can be saving the exchanged or the scanned document to system, and user can utilize that document on just accessing system whenever they need the document. We believe it might reduce the burden of each organization because they don't need to save large volume data to their system or place. Furthermore, the benefits will effect across the national as well as global.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.1-12
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• 2008

The development of IT and explosively growing number of Internet users are rapidly spreading and developing e-commerce, while creating diverse on-line transaction methods such as a negotiation, a reverse auction, and a bid. Among these transaction methods, the transactions by means of a negotiation are being made for goods that have no posted price. In particular, the transactions by means of a negotiation are expected to be widely used in the B2B. In order to determine their transportation costs, shippers usually make negotiations with many transporters and logistics companies. And before long, these negotiations are expected to be made on an on-line automated negotiation system. Because of this, this study has tried to develop an automated negotiation methodology that is absolutely necessary for an on-line automated negotiation. This study has estimated and selected the evaluation functions for multi-lateral negotiators' proposals, thus developing an automated negotiation methodology. As a result of this study, a new direction for an automated negotiation has been suggested. Also we expect that this study will be widely used in the automated negotiation of diverse fields.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.123-135
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• 2007

In the recent years, the companies have manually recorded a production status in a work diary or have mainly used a bar code in order to collect each process's progress status, production performance and quality information in the production and logistics process in real time. But, it requires an additional work because the worker's record must be daily checked or the worker must read it with the bar code scanner. At this time, data's accuracy is decreased owing to the worker's intention or mistake, and it causes the problem of the system's reliability. Accordingly, in order to solve such problem, the companies have introduced RFID which comes into the spotlight in the latest automatic identification field. In order to introduce the RFID technology, the process flow must be analyzed, but the ASME sign used by most manufacturing companies has the difficult problem when the aggregation event occurs. Hence, in this study, the RFID logistic flow analysis Modeling Notation was proposed as the signature which can analyze the manufacturing logistic flow amicably, and the manufacturing logistic flow by industry type was analyzed by using the proposed RFID logistic flow analysis signature. Also, to monitor real-time information through EPCglobal network, EPCISEvent template by industry was proposed, and it was utilized as the benchmarking case of companies for RFID introduction. This study suggested to ensure the decision-making on real-time information through EPCglobal network. This study is intended to suggest the Modeling Notation suitable for RFID characteristics, and the study is intended to establish the business step and to present the vocabulary.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.324-332
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• 2018

Blockchain technology has the potential to revolutionize trust models and business processes in a variety of industries. However, it is considered to be the initial stage of the system that pursues autonomy rather than efficiency, and it is necessary to monitor and inspect the distributed ledger technology from the price and introduction time as compared with the existing relational DB transaction technology. However, domestic and foreign private sectors have already been activated by applying block-chain technology in the national domain, and the block chain is devoid of doubt that it is an exaggerated technology, characterized by the invariance of the record, transparency, and autonomous execution of business rules. It has begun to be utilized in history, identity, certification and auditing in the financial industry as well as various industries. In this paper, we analyze the problems such as security weakness, insufficient regulatory environment, technical consensus and lack of common standard. In addition, the business sense and possibility of the block chain technology is expected to be the innovation of the industrial ecosystem by entering into the reality system from the concept through monitoring the actual introduction performance in the field of copyright, logistics, health care and environment.

• Journal of Korea Port Economic Association
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• v.33 no.2
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• pp.83-96
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• 2017

As a way to address global warming, among the renewable energy sources, there have been heavy investments worldwide for the development of offshore wind farms. However, such development has a drawback: investment costs are higher than those for onshore wind farms due to required operations such as offshore transportation and installation. In particular, delays in installation due to adverse maritime weather conditions are factors that affect the economics of offshore wind farms' operation. Therefore, in this study, we analyze the optimal schedule of the construction of an offshore wind farm from a macro perspective by considering the weather conditions in Korea. For this purpose, we develop a mathematical model and apply it to a 2.5 GW offshore wind farm project on the southwestern coast of the country. We use data from the Korea Meteorological Agency for maritime weather conditions and attempt to reflect the actual input data based on precedent cases overseas. The results show that it takes 6 months to install 35 offshore wind turbines. More specifically, it is pointed out that it is possible to minimize costs by not working in winter.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.385-392
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• 2018

Iksan is one of medium city in Jellabukdo, South Korea. It has a favorable natural environment for the specialization potential of natural industries and development projects. In addition, it has various historical and cultural resources including Mireuksajji, and KTX Honam line which has been opened for a representative feature as transport city. However, it faces week connection with neighboring cities and large scale of development in neighboring areas, especially in Jeonju and Gunsan. In this paper, we try to classify the urban image assets of Iksan as 'Iksan Station' and 'ktx' on keywords and analyze the possibility of being a center of transportation and logistics through big data analysis extracted from SNS and website. In comparison with Gwangju Songjeong, KTX Honam line station, which has been developed with similar regional characteristics, it is aimed to establish the basis of improvement and establishment of urban image of Iksan city in the future.

• Journal of Korea Trade
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• v.25 no.2
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• pp.111-133
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• 2021

Purpose - Although remittance payment in international trade settlements has played a bigger role in recent years, scant research is being done. This study is to zero in on analyzing determinants of international trade payments focused on remittance by constructing a payment prediction model. Design/methodology - This study categorizes the types of trade payments into advance remittance, post remittance, linked remittance, letter of credit, and mixed payment, and analyzes these after constructing a logit model. For empirical analysis, 147 survey data were collected for export manufacturers in Korea, and binominal logistic regression analysis was used to analyze the type of payment method the exporter chooses for trade transactions. Findings - The likelihood of choosing advance remittance increased as the exporters had non-recovery experiences with payments, and decreased as the market power of importers increased. The possibility of post remittance increased when the export amount was large and the character of the buyer was reliable. In the case of linked remittance, it was highly likely to be selected when payment efficiency was important in trade settlement. In addition, when competition among companies in the global market is intense and market uncertainty is high, the possibility of using a letter of credit decreases. It was also found that the greater the export amount, the greater the possibility of choosing advance remittance, and even if the transaction period was longer, exporters using a letter of credit continued to use it. Originality/value - Despite the high proportion of remittances in international trade settlements, it has been hard to find studies that reflect the practical characteristics of remittances. This study classified the types of remittance into advance remittance, post remittance, and linked remittance, and built a trade payment prediction model by adding a letter of credit and mixed payment. In addition, the originality of this study is recognized in that a logistic model was constructed and meaningful results were derived.