• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.315-338
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• 2013

As a result of New media that affects the marketing system, it is appeared a new marketing system called Market Platform in terms of market governance of trading. Market Platform is a new marketing system for ideal market system through the community structure from a hierarchy structure. It is determined that Market Platform as the role of adjustment of each side of market, buyer and seller, developed an existing marketing system. In this study, to target the Market Platform has recently emerged as the center of the market management in the new media environment. This study investigates what characteristics and impact of infrastructure of Market Platform will affect the cognitive impact on both buyers and sellers to clarify the impact on the self efficacy of the shopping process. Through this investigation, modeling for the impact that new media environment will attract Market Platform will be developed from the investigation of attractiveness of mobile market platform environment. Changes in the technical media environment gave the characteristics of the customer in the market platform, so consumers could involve not only consumed, but also manufactured. Thus, it is possible to increase the attractiveness if market must be able to not only for the convenience of shopping, but also make people to enjoy the experience of value co-creation. In other words, the new media, as a result of affecting the marketing system, mobile market platform is organized around the market of communication base. Network centrality, visible openness, ubiquitous multiplexity, 3 properties of new media increase the market self-efficacy of their customers. Therefore, the structure of market platform that enhance self-efficacy has higher attractiveness.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.21-29
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• 2015

The emergence of the internet causes the electronic trade of movies, music, software and other digital content products to be an eminent share of international commerce. The purpose of this study is to examine legal issues of electronic commerce chapters of the Korea US FTA and tasks of the digital contents industry. Results of the study show that several implications based on the industry are offered. The Korean government needs to do the following: settle of classification issue in digital contents, settle of customs issue in digital contents, settle of issue of non-discrimination principle in digital contents, settle of exclusion issue in audiovisual services, improve of global competitiveness, unify of export support system, establish of overseas expansion strategy in genre and regional contents, train of global experts and protect of intellectual property in digital contents.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.145-164
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• 2011

The Northeast Asia has been the fastest growing region in the world for the past few decades. And now the economic bloc maintains its status as a major powerhouse of the world economy. On the way of its economic growth, Russia and Central Asian countries have emerged as major trading partners. The Trans-Siberian Railway(TSR) has been playing a pivotal role in promoting economic cooperation between the two regions. This paper investigates economic environment of the Korean TSR service operators through the SWOT analysis, then proposes management strategies for them. For this purpose, the authors analyze characteristics and roles of the TSR service operators. In addition, a comparison of difference between service operators and shippers about their recognition of economic environment of the TSR transportation service is also carried out.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.628-629
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• 2011

E-commerce is a kind of trade type between buyers and sellers rely on computer networks. Carried out according to certain standards of various business activities. e-commerce is based on modern information technology and network technology, financial electronic collection, management, information technology, business and trade information networks into one, aimed at logistics, capital flow and information flow of harmony and unity of the new trade, trade activities of the entire process, electronic, networking and digital. E-commerce has brought to the traditional ways of trading a huge impact, led to changes in economic structures, is a business revolution in the way and is recognized internationally as the 21st century is an important driver of economic development compared to current traditional companies. In this material, we first consider the current problem, analyze particular characteristics of clothing shopping mall to increase the purchasing power of customer. For these reasons, we describe the process for building the clothing site.

• Journal of Climate Change Research
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• v.5 no.4
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• pp.331-338
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• 2014

The continued efforts to reduce GHG emission by international cooperation and each country are in progress. As part of these efforts, Korea's ETS is enforced in 2015. This was the time to make strategies for each company to respond Korea's ETS. This study was performed to suggest a draft of basic strategies for electronic component industry in current Korea's ETS stage are as follows; - Analyzing the nature of electronic component industry - Identifying needs for corresponding ETS of electronic component industry - Analyzing basic countermeasures for each stage of ETS - Suggesting drafts of basic strategies for electronic component industry in current Korea's ETS stage The result of this study, the current stage of Korea's ETS is moving from implementation of the scheme become determined and prepare the minimum corresponding to direct corresponding to the regulation and market change. Electronic component industry has many GHG emission growth(or change) factor, and it will be make electronic component industry as a buyer when Korea's ETS is enforced. Korea's ETS will be clearly act as a regulation rather than new business for electronic component industry. Therefore, identifying the Korea's ETS as a regulation is resonable strategy for corresponding the scheme. The basic strategies of electronic component industry th responding Korea's ETS are as follows; - Building internal organization and decision-making system before enforcement the Korea's ETS - Establishing internal basic corresponding strategies according to carbon price forecast scenarios - Considering the energy consumption and GHG emissions in design phase and preparing the global ETS market in mid or long term.

• International Area Studies Review
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• v.16 no.1
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• pp.243-274
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• 2012

This research analyzes the determinants of Korea's trade using the Gravity model, Chow test and panel data anaysis. According to the pooled panel OLS analysis using the gravity model and Chow-test, Korea's trade patterns before and after the 2008 financial crisis are heterogeneous. Variables of basic gravity model, GDP per capita, distance, and population, identically showed positive and significant correlation with trade volume before and after financial crisis, but also equally showed the decrease in absolute value of coefficient. On the other hands, Overseas Direct Investments(ODI) variable showed the increase in absolute value of coefficient. But TCI was no longer significant. This research is significant in that it is able to show the strategy for the long term growth in Korea's volume of international trade through econometric analysis based on data of 55 trading partner of Korea.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.583-590
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• 2022

With the release of the Bitcoin source in 2009, cryptocurrencies are continuously developing and expanding the market. Recently, new applicability is expanding centered on NFT coin and metaverse payment service. In particular, the Central Cryptocurrency Exchange actively supports relay transactions between cryptocurrencies or between traditional fiat currencies and cryptocurrencies. The cryptocurrency trading market based on such a central exchange encouraged speculative factors of cryptocurrencies, strongly arousing speculation and futility of cryptocurrencies. In addition, the central cryptocurrency exchange induces the centralization of users and virtual assets, thereby hindering the decentralization and security enhancement strategies of the block chain. Therefore, this study describes the current status and problems of centrally controlled centralized cryptocurrency exchanges in service, and presents a distributed cryptocurrency exchange modeling strategy and major issues as a decentralization model of the exchange. This research can strengthen the anonymity, decentralization, and autonomy of cryptocurrency based on blockchain.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.124-133
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• 2024

This study emphasizes R&D as a management strategy for small and medium-sized manufacturing enterprises (SMEs) to achieve competitive advantage and aims to analyze the impact of innovation resistance, prior knowledge, and technological capability on the intention to adopt R&D. The research targeted 403 decision-makers from SMEs that have not adopted R&D. The analysis revealed the following key findings: As a result, both technical capabilities and prior knowledge had a negative effect on innovation resistance. In addition, technological capabilities and prior knowledge had a positive effect on adoption intention, and innovation resistance had a negative effect on acceptance intention. The indirect effects of technical capabilities and prior knowledge both had a positive impact. In addition, we tested whether dependency on partners and trading organizations that accepted R&D had a moderating effect, but it was not significant. The academic implications of this study provide a detailed analysis of how prior knowledge and technological capability affect innovation resistance in SMEs and verify the intention to adopt R&D. The practical implications suggest a direction for small and medium-sized enterprises to reduce innovation resistance in accepting R&D, and companies need to recognize the suitability of R&D and recognize the importance of technological capabilities and prior knowledge in order to reduce innovation resistance.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.77-97
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• 2010

Market timing is an investment strategy which is used for obtaining excessive return from financial market. In general, detection of market timing means determining when to buy and sell to get excess return from trading. In many market timing systems, trading rules have been used as an engine to generate signals for trade. On the other hand, some researchers proposed the rough set analysis as a proper tool for market timing because it does not generate a signal for trade when the pattern of the market is uncertain by using the control function. The data for the rough set analysis should be discretized of numeric value because the rough set only accepts categorical data for analysis. Discretization searches for proper "cuts" for numeric data that determine intervals. All values that lie within each interval are transformed into same value. In general, there are four methods for data discretization in rough set analysis including equal frequency scaling, expert's knowledge-based discretization, minimum entropy scaling, and na$\ddot{i}$ve and Boolean reasoning-based discretization. Equal frequency scaling fixes a number of intervals and examines the histogram of each variable, then determines cuts so that approximately the same number of samples fall into each of the intervals. Expert's knowledge-based discretization determines cuts according to knowledge of domain experts through literature review or interview with experts. Minimum entropy scaling implements the algorithm based on recursively partitioning the value set of each variable so that a local measure of entropy is optimized. Na$\ddot{i}$ve and Booleanreasoning-based discretization searches categorical values by using Na$\ddot{i}$ve scaling the data, then finds the optimized dicretization thresholds through Boolean reasoning. Although the rough set analysis is promising for market timing, there is little research on the impact of the various data discretization methods on performance from trading using the rough set analysis. In this study, we compare stock market timing models using rough set analysis with various data discretization methods. The research data used in this study are the KOSPI 200 from May 1996 to October 1998. KOSPI 200 is the underlying index of the KOSPI 200 futures which is the first derivative instrument in the Korean stock market. The KOSPI 200 is a market value weighted index which consists of 200 stocks selected by criteria on liquidity and their status in corresponding industry including manufacturing, construction, communication, electricity and gas, distribution and services, and financing. The total number of samples is 660 trading days. In addition, this study uses popular technical indicators as independent variables. The experimental results show that the most profitable method for the training sample is the na$\ddot{i}$ve and Boolean reasoning but the expert's knowledge-based discretization is the most profitable method for the validation sample. In addition, the expert's knowledge-based discretization produced robust performance for both of training and validation sample. We also compared rough set analysis and decision tree. This study experimented C4.5 for the comparison purpose. The results show that rough set analysis with expert's knowledge-based discretization produced more profitable rules than C4.5.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.333-354
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• 2011

After the terrorist attack of 9/11 on the USA, the security concern to global trade has been raised. In particular, the USA has actively promoted a series of initiatives and rules such as CSI, 24 hour rule, C-TPAT, and so on in the area of logistics activities, which aimed to better protect the country against the potential terrorist threats. While implementing such schemes called as a multi-layed logistics security strategy, a large number of countries trading with USA are facing with the issues of additional time and costs for inspecting cargos in their logistics facilities. As a result, most countries all over the world have sought a way to minimize the impacts from such strategy. The Korea also is preparing the several security programs operated by various ministries, which are aiming to not only improve the efficiency of trade flows but also to ensure supply chain security. However, many companies are expressing the inefficiency of operating such programs. Thus, this paper analyzed several global supply chain security programs currently adopted by international organizations(ISO, WCO, and IMO) and major countries(USA, EU, and Singapore) and suggested a guideline for developing the national logistics security system.