• Journal of KIISE:Software and Applications
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• v.32 no.8
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• pp.693-703
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• 2005

Given the local traders with pattern-based multi-predictors of stock prices, we study a method of dynamic asset allocation to maximize the trading performance. To optimize the proportion of asset allocated to each recommendation of the predictors, we design an asset allocation strategy called meta policy in the reinforcement teaming framework. We utilize both the information of each predictor's recommendations and the ratio of the stock fund over the total asset to efficiently describe the state space. The experimental results on Korean stock market show that the trading system with the proposed meta policy outperforms other systems with fixed asset allocation methods. This means that reinforcement learning can bring synergy effects to the decision making problem through exploiting supervised-learned predictors.

• Journal of Distribution Science
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• v.12 no.5
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• pp.71-80
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• 2014

Purpose - The object of this paper is to ascertain how Japan has become a powerful trader in the international grain market. A case in point is the world's third largest U.S. major grain trader, Gavilon, merged with general trading company Marubeni in 2012. What are Japan's strategies and their implications? Research design, data, and methodology - The study analyzed Japanese Ministry of Agriculture, Forestry, and Fisheries data, and data from daily and weekly papers. The paper employed various data and research methodologies. Results - The Lee Myeong-Bak government tried for three years to create a company similar to Cargill, but the project eventually failed. On the other hand, Japan has emerged as a leader in the international grain distribution market for the past 50 years, with the cooperation of government and private companies. Conclusion - The findings of this study show that Korea, China, India, and other countries' international major grain companies now compete to be powerful, major grain traders. South Korea could be the leader of the international grain market through the development of a more careful and long-term strategy.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.3
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• pp.117-133
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• 2014

The purpose of this study was to compare with shopping behavior and satisfaction of who have visited Dongdaemun and Myeongdong and to provide the fundamental data for differentiation strategy of two fashion trading area. The survey was carried out targeting shoppers who were in Dongdaemun and Myeoongdong and then a total of 778 questionnaires were used for the data analysis; frequency, t-test, chi-squre independence test using SPSS. 20. The results of this study were as follows. Main shoppers in Dongdaemun were the teenagers and twenties, and in Myeongdong were twenties and thirtys. The shoppers who have visited Dongdaemun significantly considered 'store factor' such as store size and comfortability, store interior, store location and accessibility, and 'product factor' including material and quality, design, formfitting, and various sizes, while Myeongdong visitors thought 'promotion factor'such as business hours, one stop shopping, sale and event etc. as important factor. The degree of satisfaction for marketing mix of Myeongdong trade area was higher than Dongdaemun's one. The case of impulse buying in two trade area was not high, while intention to revisit Dongdaemun and Myenongdong was all higher than average. Consumers were more intended to recommend Myeongdong over Dongdaemun to others.

• Asia-Pacific Journal of Business
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• v.13 no.4
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• pp.45-59
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• 2022

Purpose - This study investigates the performance of investment strategies incorporating estimated stock market cycle based on a lead-lag relationship between business cycle and stock market cycle, thereby deriving empirical implications on risk management. Design/methodology/approach - The data period ranges from June 1953 to September 2022 and de-trended short rate, term spread, credit spread, stock market volatility are considered as major input variables to estimate business cycle and stock market cycle by applying probit model. Based on the estimated stock market cycle, two types of strategies are constructed and their performance relative to the benchmark is empirically examined. Findings Two types of strategies based on stock market cycle are considered: The first strategy is to long(short) on stocks when stock market stage is expected to be an expansion(a recession), and the second one is to long on stocks(bonds) when expecting an expansion(a recession). The empirical results show that the strategies based on stock market cycle outperforms a simple buy and hold strategy in both in-sample and out-of-sample investigation. Also the out-of-sample evidence suggests that the second strategy which is in line with asset allocation is more profitable than the first one. Research implications or Originality The strategies considered in this study are based on the estimated stock market cycle which only depends on a few easily available financial variables, thereby making easier to establish such a strategy. It implies that investors enhance investment performance by constructing a relatively simple trading strategies if they set their position on stocks or choose which asset class to buy conditioning on stock market cycle.

• Information Systems Review
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• v.8 no.2
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• pp.103-117
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• 2006

As the interest in the combinatorial auction has increased, diverse combinatorial auction market types have been proposed. Although there have been several studies on the combinatorial auction design, the studies covered some factors or partial dimensions of combinatorial auction design. Given the potential practical value of combinatorial auctions, it is necessary to approach it with an integrated and systematic design methodology for supporting a comprehensive range of combinatorial auction models. Thus, we present a systematic framework for combinatorial auction design methodology. In particular, we classified the combinatorial auction architecture types, process types, and mechanism types. This framework characterizes the different combinatorial auction models, and lead to a useful taxonomy of the combinatorial auction design factors and taxonomy of the market types by coordination among the design factors. In addition, we illustrate an n-bilateral combinatorial auction market, derived from our design methodology, to show the viability of our study.

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.2
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• pp.31-46
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• 2003

The purpose of this study was to explore the ways of improving Korean apparel firms' competitiveness by examining the Korea's number one trading partner U.S. apparel industry. Especially, the Los Angeles area apparel industry which is the second largest and the primary market center on the west coast was analysed. The following strategies are suggested to Korean apparel firms to function more effectively in incleasingly competitive U.S. markets: l)Basics can be produced in lower wage countries meanwhile quick turnaround and high quality works can be produced either in Korea or U.S. 2)Manufacturers might try to have direct relationship with powerful retailers who have their own private labels of store-brand lines. 3)Apparel companies can open market showrooms in the California Market Center. For small firms they can contact with independent representatives who receive commissions for showing lines for manufacturers or rent space for showing the lines during market weeks. 4)Apparel firms can contact buying offices to introduce their products to retail buyers. 5)Korean firms can contact Korean-American apparel firms to gain easy access to U.S.Market.

• Journal of Information Technology Applications and Management
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• v.10 no.1
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• pp.127-146
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• 2003

With the spread of Internet, e-business using Internet technology is being actively developed and operated. Currently, on behalf of the international e-business framework, International standard such as ebXML and Web Service is being advanced. We are able to publish and search business information through ebXML and Web Service and then actual trading between partners is accomplished. By the way, it is Registry that play an important part in e-business. Registry is an e-business infrastructure for enabling building, deploying, and the discovery of business Information. We can do e-business through Registries dynamically and share the resources. Representatives of Registry are ebXML and UDDI used as an international standard. We will meet with some problems when using Registries. ebXML Is focused on B2B collaborations and Web Service Is focused on application integrations. So we must use ebXML and Web Service characteristically, and sometimes use all at need. ebXML and Web Service contain business information by Registry specific way. So When using the services offered by ebXML and Web Service, we should access each Registry by using Registry specific tools. This thesis intended to integrate business information from ebXML Registry and UDDI Registry to accomplish e-business conveniently This thesis defined the common data model as well as integrated query language for integrated access to ebXML and Web Service along with design and implementation of the system.

• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.139-161
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• 2006

In this paper, we introduce a new combinatorial auction mechanism - N-Bilateral Optimized Combinatorial Auction (N-BOCA). N-BOCA is a flexible iterative combinatorial auction model that offers optimized trading for multi-suppliers and multi-purchasers in the supply chain. We design the N-BOCA system from the perspectives of architecture, protocol, and trading strategy. Under the given N-BOCA architecture and protocol, auctioneers and bidders have diverse decision strategies f3r winner determination. This needs flexible modeling environments. Hence, we propose an optimization modeling agent for bid and auctioneer selection. The agent has the capability to automatic model formulation for Integer Programming modeling. Finally, we show the viability of N-BOCA through prototype and experiments. The results say both higher allocation efficiency and effectiveness compared with 1-to-N general combinatorial auction mechanisms.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.183-193
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• 2006

The purpose of this study is to examine differences in college students' spatial behavior and time for purchasing (weekdays or weekends) according to trading areas they use to purchase casual wears and formal wears. An empirical research developed a questionnaire as a measuring tool to conduct a main survey. McNemar test were carried out by using the SPSS to test statistical differences in spatial buying behaviors between weekdays and weekends. ArcGIS 9.1 and ArcView GIS 3.2a program were applied to visualize the results adopting a spider display technique to understand students clothing buying behaviors. This study obtained the result of that there were differences in college students' selecting a trading area according to the time for purchasing(weekdays or weekends) clothing wears. This study implies that understanding individual clothing spatial behaviors help to set up the strategy of trade area as well as store for marketers related to the fashion industry.

• Journal of Information Technology Applications and Management
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• v.30 no.1
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• pp.115-126
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• 2023

In various fields such as art, design, music, film, sports, games, and fashion, NFTs (Non-Fungible Tokens) are creating new economic value through trading platforms dedicated to NFT art and content. In this article, I analyze the current state of blockchain technology and NFT art content in the context of an expanding market for blockchain-based NFT art content in the metaverse. I also propose several tasks based on the economic and industrial logic of technological innovation. The first task proposed is to integrate cultural arts on blockchain, metaverse, and NFT platforms through digital innovation, instead of separating or distinguishing between creative production and consumption. Before the COVID-19 pandemic, there was a clear separation between creators and consumers. However, with the rise of Web 3.0 platforms, any user can now create and own their own content. Therefore, it is important to promote a collaborative and integrated approach to cultural arts production and consumption in the blockchain and metaverse ecosystem. The second task proposed is to align the legal framework with blockchain-based technological innovation. The enactment and revision of relevant laws should focus on promoting the development of the NFT trading platform ecosystem, rather than merely regulating it for user protection. As blockchain-based technology continues to evolve, it is important that legal systems adapt to support and promote innovation in the space. This shift in focus can help create a more conducive environment for the growth of blockchain-based NFT platforms. The third task proposed is to integrate education on digital arts, including metaverse and NFT art contents, into the current curriculum. This education should focus on convergence and consilience, rather than merely mixing together humanities, technology, and arts. By integrating digital arts education into the curriculum, students can gain a more comprehensive understanding of the potential of blockchain-based technologies and NFT art. This article examines the digital technological innovation such as blockchain, metaverse, and NFT from an economic and industrial point of view. As a limitation of this research, the critical mind such as philosophical thinking or social criticism on technological innovation is left as a future task.