• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.1-21
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• 2003

In this research, we developed a Multi-Agent based Negotiation Support System to be able to increase the competitive power of a company in dynamic environment and correspond to various orders of customers by diffusion of electronic commerce. The system uses the agent technology that is being embossed as new paradigm in dynamic environment and flexible system framework. The multi-agent technology is used to solve these problems through cooperation of agent. The system consists of six sub agents: Mediator, manufacturability Analysis Agent, Process Planning Agent, Scheduling Agent, Selection Agent, Negotiation-strategy Building Agent. In this paper, the proposed Multi-Agent based Negotiation Support System takes aim at the automation of transaction process from ordering to manufacturing plan through the automation of negotiation that is the most important in order-taking transaction.

• Korea Trade Review
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• v.47 no.2
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• pp.103-120
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• 2022

This paper studies the possibility of options as an instrument for central bank to intervene foreign exchange market. As opposed to spot transaction or forward transaction, which impacts spot exchange rate only once, currency options can continuously resist a directional speculative pressure on spot market due to the dynamic delta hedging of OTC currency options market maker. This research also analyzes whether and how central banks can use currency options to lower exchange rate volatility and maintain (implicit) target zones in foreign exchange markets. It argues that short position rather than long position in options will result in market makers dynamically hedging their long option exposure in a stabilizing manner, consistent with the first objective. Selling a "Strangle" allows a central bank to increase the credibility of its commitment to a target zone, and could have a lower expected cost than spot market interventions. However, this strategy also exposes the central bank to an unlimited loss potential. Therefore these kinds of intervention strategies must be used in the short run and temporarily.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2232-2240
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• 2015

Recently in the field of Big Data, there is a trend of collecting and reprocessing the existing data such as products having high interest of customers and past purchase details to be utilized for the analysis of transaction propensity of users(product recommendations, sales forecasts, etc). Studies related to the propensity of previous users has limitations on its range of subjects and investigation timing and difficult to make predictions on detailed products with lack of real-time thus there exists difficult disadvantages of introducing appropriate and quick sales strategy against the trend. This paper utilizes the machine learning algorithm application to analyze the transaction propensity of users. As a result of applying the machine learning algorithm, it has demonstrated that various indicators which can be deduced by detailed product were able to be extracted.

• Journal of Broadcast Engineering
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• v.13 no.3
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• pp.319-327
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• 2008

The purpose of study is to investigate the customer oriented transaction environment for the customers' convenience, the plan of public policy in regard to the customer oriented T-Commerce, and the consumption pattern of customers' commercial transaction, necessary for the marketing strategy by analyzing the demand for the T-Commerce with the purchase intention and maximum willingness to pay according to the demographic factors, the pattern of commercial transaction, and the technology innovation types. The results showed that there were statistically significant relations between consumer's willingness price to pay for the T-commerce and the consumer's technology adoption types, monthly internet shopping amounts, and weekly TV-home shopping hours. The simulations on a basis of multiple regression analysis for the T-commerce were illustrated by those factors.

• Information Systems Review
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• v.18 no.1
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• pp.177-197
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• 2016

Information technology (IT) outsourcing is considered an effective strategy to manage and maintain organizational technologies in a rapidly changing business environment. In particular, to meet diverse market needs, many organizations that outsource their IT functions practice a multi-vendor approach as their main outsourcing strategy. Although a few studies have been conducted about the multi-vendor approach, most previous works primarily emphasized conceptual arguments and normative prescriptions. In addition, scant attention has been directed toward the relational structure between the client and multiple vendors in the multi-vendor approach and its implications for outsourcing success. This study proposes a model from the transaction cost perspective by conceptualizing two dominant relational structures of the multi-vendor approach, namely, single-vendor dominant model and the multi-vendor dominant model, and hypothesizing their relationships with two outsourcing outcomes, project success and user satisfaction. The proposed model is examined using the data collected from 246 companies that have implemented multi-vendor outsourcing. As expected, results indicate that the single-vendor dominant model has a more significant impact on project success, whereas the multi-vendor dominant model has a more significant impact on user satisfaction. The study concludes with the theoretical implications and directions for future research.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.36-46
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• 2019

If stock market is efficient, any well-devised trading rule can't consistently outperform the average stock market returns. This study aims to verify whether the strategy based on bid-ask volume information can beat the stock market. I suggested a day trading strategy using order imbalance indicator and empirically analyzed its profitability with the KOSPI 200 index futures data from 2001 to 2018. Entry rules are as follows: If BSI is over 50%, enter buy order, otherwise enter sell order, assuming that stock price rises after BSI is over 50% and stock price falls after BSI is less than 50%. The empirical results showed that the suggested trading strategy generated very high trading profit, that is, its annual return runs to minimum 71% per annum even after the transaction costs. The profit was generated consistently during 18 years. This study also improved the suggested trading strategy applying the genetic algorithm, which may help the market practitioners who trade the KOSPI 200 index futures.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.165-174
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• 2016

This paper examined opportunities and limitations of building an innovation cluster based on large scale research facilities (LSRF). For this purpose, success factors of innovation clusters were drawn from the literature, and categorized into knowledge & technology, transaction cost & agglomeration economies, hardware & software infrastructure, and government policy & strategy. Utilizing the categorization as an analytic framework, case studies of CERN and SPring-8 were performed. The results showed that there were various innovation processes for both cases, creating opportunities for developing innovation clusters in terms of knowledge and technology. On the other hand, in the case of SPring-8, there were disadvantages in the transaction cost and agglomeration economies, being located in a remote area due to the nature of the facility. Software & hardware infrastructure of SPring-8 limited its potential for innovation clusters. Regarding government policy and strategy, CERN, as a multinational institution, did not consider an innovation cluster in a specific region despite some advantages. An innovation cluster around SPring-8 was promoted by government policy despite some disadvantages. In other words, the advantages and disadvantages were enhanced or complemented by software & hardware infrastructure and government policy & strategy. Based on the results, this paper provides the implications for the Korean International Science-Business Belt.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2290-2299
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• 2009

This study aims to analyze the importances of various SCM adoption factors suggested in precedent researches with AHP. SCM adoption factors were categorized by four types: organization factor, transaction factor, relation factor, and information factor. Each factor has sub-factors. Organization factor has five sub-factors: adoption strategy, support of CEO, maturity of information technology, development of assessment system, and innovation leadership. Transaction factor has three sub-factors: transaction period, delivery/quality, and shared goal. Relation factor has five sub-factors: trust, collaboration, inter-dependence, conflict, and immersion. Information factor has three sub-factors: information quality, information share, and information exchange. There are sixteen sub-factors altogether. Analyzing the importances of SCM adoption factors with AHP, the importance of organization factor(.387) ranked the highest. Relation factor(.291), information factor(.167), and transaction factor(.155) followed. Putting the analysis results of primary hierarchy factors and secondary hierarchy factors together, support of CEO(.169) ranked the highest and trust(.124), adoption strateg (.089), share goal(.081), information exchange(.069), collaboration(.064), and information share (.057) followed.

• Journal of Distribution Research
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• v.4 no.2
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• pp.1-20
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• 1999

This study aims to provide distributors with several implications on the channel strategy by testing factors which influence on the offsetting investment. Medium-sized distributor facing a relatively inferior power can cause profit vulnerability from large manufacurer's opportunistic behaviors. At the same time, we tested the relationship commitment to the relation with manufacturer as another alternative strategy taken by medium-sized distributer. For this research, samples from dealers in oil-petroleum refinery industry were selected and the data was collected using mail survey. The data was analyzed utilizing validity test, reliability test, factor analysis, correlation analysis and LISREL. The major analyzed results are as follows: First, the offsetting investment of preventing loss from manufacturer's opportunism didn't affect medium-sized distributor's sales empirically. Second, the hypothesis that the more the medium-sized distributor's transaction specific assets which they invest in the transactional relationship with manufacturer, the more the safeguard against the expected opportunism of manufacturer was not supported by the results. Third, the more use of coercive power by the manufacturer, the more increase in the perception of expected opportunism of manufacturer by the medium-sized distributor, it make stimulates offsetting investment as safeguard by medium-sized distributor and it has negative effect on developing commitment. Finally, the large manufactures dealing with a medium-sized distributor firm which had a reputation of fairness didn't make offsetting investment as a response for distributor's opportunism.

• International Journal of Costume and Fashion
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• v.3
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• pp.121-139
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• 2003

A purpose of this study is to measure degree of solidarity and conflict of the beauty salon franchisees according to an influence strategy of franchiser and grasp characteristics revealed from managing a franchise system. This will also contribute to improving results of franchise systems and considering a direction for development. This study examined existing studies relevant with conflict and solidarity and analysed relativity between relevant variables and grasped the flow of studies and then set hypotheses in order to present a device for decreasing conflict within a franchise system of beauty shops and for increasing a solidarity and subsequently analysed samples and tested data. The data for this study are researched by sending questionnaires to beauty salons which participated in one of franchise systems and they are analyzed by various methods in a statistics. After studying some relevant theories, this study used the definition of the franchise system in beauty salons as an entity of a political-economy paradigm. A franchiser desires to influence member shops with an influence-strategy. Therefore member shops which perceived it go through a conflict and then such a process is revealed as making significant influence on solidarity. Beauty salon franchise exists by reciprocal confidence and transaction. If an opportunism gain in influence owing to an conflict intensification, there would be no steady formation of relationship. Therefore the head office should develop a member-shop-management-system by more scientific and more technical methods and prevent, in advance, member stores from seeking for negative opportunism.