• 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.

• Fashion & Textile Research Journal
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• v.10 no.5
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• pp.739-747
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• 2008

There have been increasing consumption of luxury fashion and recent marketing researches on luxury syndrome, trading up, etc. in mass fashion today. Historically the consumption of luxury had been concentrated on only upper class in the past. But since 20th century, the mass consumers of modern consumptive society show their interests in luxuries which had been preoccupation of few elite class. Accordingly, it can be thought that the historical review on the changes in the meaning of luxury should be necessary for a better understanding of modern luxury consumption in sociocultural context. The purpose of this study is to grasp the sociocultural meaning of luxury in modern fashion with a holistic viewpoint by examining the changes of luxury consumption in mass fashion. It will be helpful as a conceptual approach of modern luxury consumption. For this, the documentary study has been executed. It focused on since 20th century, which can be the root of mass productive and consumptive society in fashion history. The results are as follows. The luxury in court elite system before 20th century had been concentrated on few elite class exclusively but gradually began to be represented as inferior cheaper version by mass production according to their increasing interests since industrial revolution. The luxuries in elite designer system in the first half of 20th century were represented as illegal design piracy and legal genuine reproduction in spite of problems brought about between originality and copy. The concept of mass as consumer was virtually alienated in both systems. But in fashion system since the second half of 20th century, various types of consumer luxuries has appeared on account of the trading up phenomenon in drastic growth of mass culture.

• Journal of the Korean Institute of Navigation
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• v.18 no.3
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• pp.81-103
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• 1994

Increasing costs and competition in the global trade and transportation arena have led to a search for effient, cost-effective, particularly through the application of computer and information technologies. Most recently the introduction of Electronic Data Interchange(EDI) technologies in both trading and trade facili-tation activitiess have bagun to change the complextion of the international transport space. Korea as well as the other developing countries has become aware of the need to embrace EDI strate-gies in order to maintain a competitive market position with their more technologically advanced neighbou-ring and international trading partners. A way of EDI implementation, KMPA has invested large budgets in the research of the EDI since 1990. As the result of study in EDI of transport, KL-Net(Korea Logistics Network) was organized for the EDI business in cargo logistics. In spite of these KMPA's activities, the development plan of container logistics data interchange is not good and useful. So a new model of EDI in transportation is required by using the concepts of cargo data sharing. The purpose of this paper is to suggest a new way of container logistics data interchange model. This paper therefore analyze the information flow in the current container logistics and find the problem in the area to derive a new model. The followings are the results of this paper : (1) There are many problems and user's requirements in container logistics data interchange in Korea. (2) Many messages of UN/EDIFACT are able to be used in container logistics data interchange. (3) The container cargo data are stored in Container Logistics Network(CL-Net) database. And when necessary by requesting message transmission, the container logistics data interchange is possible. (4) Customs cargo clearance system and PORT-MIS can be linked to CL-Net. If the systems, however, are to introduce EDI in data interchange, the quality of user's software has to be assured.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.227-230
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• 2013

Financial transactions using a mobile terminal and the Internet is activated, it is a stock exchange enabled using mobile devices and the Internet. Koscom in charge of IT operations of securities transaction-related in (securities ISAC), to analyze the vulnerability of information security related to securities transactions, which corresponds to running the integrated security control system. Online stock trading is a subject to the Personal Information Protection Act, electronic systems of related, has been designated as the main information and communication infrastructure to, damage financial carelessness of the user, such as by hacking is expected to are. As a result, research on the key vulnerabilities of information security fields related to securities business cancer decoding of the Securities and Exchange packet, through the analysis of security events and integrated security control is needed.

• Journal of Distribution Research
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• v.2 no.2
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• pp.153-172
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• 1997

The distribution sector is affected by a wide range of regulations. Many of these are related to health and safety, others are related to urban planning and environmental issues, whereas some mainly have an economic basis. But, regulations many be unduly restrictive, in which case they can drive up costs and ultimately prices, or they may, in some cases, reduce consumer choice. Unduly restrictive regulations could also increase costs indirectly, by reducing competition and thus lead to lower productivity growth. In the past few years, distribution sector has gone through drastic changes due to deregulation and market opening. Implementation of regulatory reforms served as an opportunity to change laws and systems which had been an obstacle to development of distribution sector. Market opening of distribution sector became a turning point to promote competition among domestic and foreign firms. However, for small and medium scale of the typical retail enterprises which were in no position to compete in terms of prices, additional facilities, and services, faced a threat of diminished trading area, and even of their existence. Because, large firms may have greater market power than small firms, as they can more easily extract favorable terms when procuring goods, and may also be able to deter entry by advertising outlays or access to the best sites. In addition, larger chain stores armied with sufficient capital dominated trading area and reduced customer's welfare by abusing their monopoly power when competing with other shops, and are often cited as an example of adverse effects of local monopoly. In order to minimize such adverse effects and to foster competition, regulatory reforms in distribution sector should set its goal to promote sound and stable distribution activities through market principle and restoring competition principle, and ultimately to boost customers welfare. Therefore, deregulation in distribution sector should be implemented in a way to promote customers welfare, eliminate entry barriers, and expand competition principle such as productivity and efficiency competition. However, it should be also recognized that deregulation of system alone is not enough to develop the distribution sector. To compete in a increasingly concentrated industry, small enterprises increasingly engage in co-operative arrangements, such as buying groups, strategic alliances or franchise agreements.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.60-69
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• 2016

Korean management agency and production's size is bigger than ever applying diversification strategy since the Korean Wave started in 2000. Thus, the cross-ownership between two sectors is widespread and it's side effect such as unfair trading occurred among them. Came up with this problem, this study has focused on the analysis of the cross-ownership status of the entire Korean listed agencies and productions and the quest of the alternatives to solve the problem through in-depth interviews of the stakeholders and experts. Results showed that the horizontal regulation and American regulatory systems should be applied considering the previous law because the cross-ownership level was so high. In conclusion, it was proposed three regulatory models as follows : first, accept the cross-ownership and prohibit casting their contracted actors in their art, second, ban on the cross-ownership and allow mutual investment within a 10 to 20 percent stake, third, blanket ban on the cross-ownership and investment.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.103-119
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• 2014

In this paper, we investigate intellectual reaction differences among market participants to various corporate information announcements and the main information prompting investors to trade. Our research is based on IPO companies listed on the KOSDAQ exchange from January 2000 to September 2012 and concentrates on three information disclosures - bonus issue, seasoned equity offer, and new investment in facilities announcements. We find that intellectual market participants react positively to bonus issues and seasoned equity offers, but negatively to new investment announcements. Market trading volume increases before the positive events and all cgroups actively buy shares during these periods. For the negative events, only institution participants show active selling. Overall, institutions act as momentum traders, and individuals and foreigners as contrarian traders. We also discuss the implications of this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4282-4290
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• 2010

Recently, business environment is spreading from singular business to supply-chain problem. SCM(Supply Chain Management) is changing from closed and static to opened and dynamic environment, so these environment changes of SCM require to enterprise different approach than past. As supply chain is becoming opened and dynamic, a claim is being naming that converse of real-time the get reaction from to recognizing the level of supply chain problem, grope of alternative plan to solving this problem and choosing optimum alternative plan raise the enterprise competitive. But until present, the research to deal with these changes of SCM is on insufficient situation. Thus in this paper proposes the agent system by a way of realizing dynamic supply chain. The agent is going to accomplish the management activities in real-time depends on environment and given condition and designed for solving problems development and maintenance. Also, algorithms performance of the agent is tested on TAC SCM environment. Agents in TAC SCM are simulations of small manufacturers, who must compete with each other for both supplies and customers, and manage inventories and production facilities.

• 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.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.43-58
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• 2014

As the use of trading systems has increased rapidly, many researchers have become interested in developing effective stock market prediction models using artificial intelligence techniques. Stock market prediction involves multifaceted interactions between market-controlling factors and unknown random processes. A successful stock prediction model achieves the most accurate result from minimum input data with the least complex model. In this research, we develop a combination model of ${\pi}$-fuzzy logic and support vector machine (SVM) models, using a genetic algorithm to optimize the parameters of the SVM and ${\pi}$-fuzzy functions, as well as feature subset selection to improve the performance of stock market prediction. To evaluate the performance of our proposed model, we compare the performance of our model to other comparative models, including the logistic regression, multiple discriminant analysis, classification and regression tree, artificial neural network, SVM, and fuzzy SVM models, with the same data. The results show that our model outperforms all other comparative models in prediction accuracy as well as return on investment.