• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.225-234
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• 2012

The purpose of this study is to explore possible ways to make a strategical use of CRM(Customer Relationship Management) for facilitating performing arts. In order to satisfy the purpose, this study investigated actual cases of CRM, primarily focusing on LG Art Center, one of representative performance venues in South Korea, and CREDIA, a performing art planning agency in South Korea. Here, it was found that LG Art Center operated its independent TMS(Theater Management System) and thereby could afford to successfully plan performing art programs on the basis of customer-oriented convenient ticketing system as well as a pile of customer information. On the other hand, CREDIA introduced advanced performance management system and has successfully attracted larger membership than before. Moreover, it organized specialized personnel in membership management and thereby could manage membership in systematic manner. And it was found that based on web log analysis, CREDIA developed a variety of products to comply with customer needs and thereby could realize higher returns and better customer satisfaction through cross-selling activities as well as performance ticketing. However, it was found that CREDIA still operated its membership system and mileage point system in stereotypes manner. Thus, it is required to operate differentiated membership system based on membership grades and diversify practical ways to save and use mileage points, so that CRM can be strategically applied to develop new audience and maintain loyal customers.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.169-183
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• 2013

As the issue of selling wine online has been raised in an attempt to implement FTA programs in a more effective way, wine will be available online in the near future in Korea. Thus, this study aimed at identifying key factors which will contribute to reduce various kinds of risks perceived by online customers, and investigating the structural relationships between those factors and perceived risks. Site quality of online wine shop(information quality, system quality), trust in online wine shop were selected as key predictors of perceived risks and research model was established using those factors. Data were collected from those who have experienced in using online wine store, and the research model was tested using valid data. Results of testing research hypotheses using data from survey respondents showed that information and system quality exerted an impact on trust in online wine shop. It was proven that information and system quality posited an impact on time risk whereas they was not related to performance and psychological risk. In addition, trust in online wine shop was shown to be related to time risk, performance risk, and psychological risk.

• (The) Research of the performance art and culture
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• no.34
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• pp.73-109
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• 2017

This article studies Hur Gyu's Wanpan-Changgeuk Heungbojeon (1982) and Heungboga (1984), with a specific focus on the dramaturgy of Changgeuk and its meaning as transformed from Pansori Heungboga. The dramaturgy of Wanpan-Changgeuk Heungbojeon and Heungboga served to express criticism toward selling oneself. Beyond their former classical theme of brotherly affection, these productions elicited sorrow at the sight of poverty through a dramaturgy integrating modern theatricality with the Korean dramatic style. The theme of grief for poverty in these Changgeuk plays simultaneously aroused spectators' sympathy and critical thinking about economic aspects. Moreover, the Korean drama style and humor were not used simply as a tool but to exhilarate an emotional response to a life of coexistence. This paper found that Hur Gyu's Wanpan-Changgeuk Heungbojeon and Heungboga recreated a new Changgeuk dramaturgy based on the director's integration of western thinking and Korean traditional culture on stage. Through this, Hur Gyu tried to expand spectators' sympathy and to achieve artistic and popular success. Thus, these value of Hur Gyu's Wanpan-Changgeuk lay not only in its long running-time, but in its dramaturgy of integrating thinking for his Minjokgeuk (nationalist theater).

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.65-82
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• 2021

Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.

• Journal of the Economic Geographical Society of Korea
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• v.1 no.2
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• pp.85-102
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• 1998

The Changing Characteristics of Office Location in Central Seoul In recent years, central Seoul has been experiencing a dynamic transformation. In the process of reorganization of urban industrial structure including tertiarization and quaternarization of the economic base of Seoul, business services are growing very rapidly and large scale urban renewal projects are agilely implemented. Downtown office activities become a nucleus for economic performance of Seoul and high-rise office buildings steer the landscape transformation of central Seoul. Even though there appear to exist some evidences that office districts have dispersed to several subcenters, major office activities are still concentrated in the central Seoul. This paper redefines office industry in a narrow meaning comprising only relevant economic sectors and office buildings as office activity-functioning units. It then explores the industrial networking and territorial specialization of office activities focusing on the dual process of concentration and dispersion in Seoul. The changing characteristics of the downtown linkages of office activities in this post-industrial era transforms the spatial economy of central Seoul into more flexible and volatile, while territorial concentration of power and control functions are fortified at the same time. Finally, the paper addresses the development of manufacturing-tertiary-quaternary industrial complex, which can be regarded as new industrial clusters, selling cultural economy of urban space and possessing placeness or images for clients and customers, in relation to urban competitiveness and territorial specialization of large metropolitan areas.

• Journal of Distribution Science
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• v.14 no.7
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• pp.83-90
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• 2016

Purpose - This study focuses on new type distribution channel that named as Omnichannel. Omnichannel is developed from Multichannel which is used in many distribution channels to buy or selling goods. Omnichannel basically needs an Information and Communications Technologies(ICT) to use, so researcher conduct a Technology Acceptance Model(TAM) to research model. Customer-brand relationship was used as dependent variable to focus on the role of Omnichannel. Research design, data, and methodology - The subject of this study is customer who purchase goods or service through omnichannel. Based on the literature from the preceding research analysis of TAM and customer-brand relationship, this study was constructed by the reference to previous studies, final research model design for figure out casual relationship among perceived ease of use, perceived usefulness, omnichannel use and customer-brand relationship. From 2016 February 3 to March 17, questionnaire survey targeted customers who use online and offline channels. 273 questionnaire survey had conducted, then, 252 survey data were available for empirical analysis. Researcher provide descriptive statistics for checking generality. Cronbach's alpha value was used to check the reliability of data. Exploratory factor analysis was used for purification of values and eigenvalue checking. After EFA, Confirmatory factor analysis was used to prepare structural equation modeling with executing structural equation modeling for confirming hypothesis which developed by researcher. Results - The main results of this empirical study are as follows. First, omnichannel's perceived ease of use has positive significant effect on perceived usefulness(estimate: 0.579). Moreover, omnichannel's perceived ease of use and perceived usefulness has positive significant effect on omnichannel use(estimate: 0.325,0.648). Second, using omnichannel has positive significant effect on brand-customer relationship(estimate: 0.521). Every hypothesis adopted as researcher designed. This study found out the intermediate relationship between perceived ease of use and omnichannel use by investigating hypothesis. Conclusions - Base on the empirical result, this study confirmed that TAM theory perceived has relation with omnichannel. First, factors of TAM has positive effect on omnichannel use, so it highlights the important role of customer based interface and usefulness. Especially, perceived usefulness has high indirect influence on ease of use and use of omnichannel. It seems that when customers try to decide use or not use omnichannel, customers focus on percept benefits from omnichannel. Thus, a provider should applicate attractive price table, accurate product or service information and high switching cost strategy to emphasize the usefulness of omnichannel. Second, using omnichannel enhances the relationship between customers and brand, because there are more time and frequency to serve customers. It is important because good relationship between customers can increase the future's financial performance through word of mouse, positive brand image and loyalty to brand or company. Finally, despite of empirical result and implications, this study has limitations. First, there are only a few previous studies about omnicahnnel, so literature reviews are restricted. While set up the factors which can affect the use of omnichannel, next study should be considered with broader theories or models(ex: contingency theory). Second, omnichannel has developed from multichannel, so comparative analysis is needed between these methods because there is a possibility about different forte character of each distribution system on customer's consuming patterns.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.62
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• pp.3-32
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• 2014

Article 77 sets forth the principle of prevention applied in several legal systems. Under this principle the party threatened by ooss as a consequence of a breach of contract by the other party is not permitted to await passively incurrence of the loss and then sue for damages. He is obliged to take adequate preventive measures to mitigate his loss. If the injured party abstains from taking such excessive measures he will not be considered to have failed to mitigate the loss under Article 77. The sanction provided in Article 77 against a party who fails to mitigate his loss only enables the other party to claim reduction in the damages. The reduction in damages under Article 77 is equal to the amount by which the loss should have been mitigated if the injured party had taken reasonable measures to avert or to lessen it. The aim of Article 77 is to encourage mitigation of the loss. The duty to mitigate the loss applies not only to a breach of contract in respect of an obligation whose performance is currently due. but also to an anticipatory breach of contract under Article 71. Article 85 contemplates that the buyer is in delay in fulfilling the latter obligation, or else that he fails to pay the price when payment is to be made concurrently with delivery of the goods by the seller. In both these situations of default, the seller who is either in possession of the goods or otherwise able to control their disposition must take measures, reasonable in the circumstances, to preserve them. The right of retention of the goods y the seller exists until he is reimbursed by the other party for the reasonable expenses incurred. Article 87 and Article 88 of the Convention grant different rights to the party obligated to take steps to preserve the goods; Article 87 allows him to deposit them in the warehouse of a third person, and Article 88 to sell them by whatever means appropriate. A difference exists between paragraph Article 88 (1) which grants the right to sell, and paragraph (2) which imposes the duty to take reasonable measures to sell the goods.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.697-703
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• 2022

Due to the recent economic downturn caused by Covid-19 and the unstable international situation, many investors are choosing the derivatives market as a means of investment. However, the derivatives market has a greater risk than the stock market, and research on the market of market participants is insufficient. Recently, with the development of artificial intelligence, machine learning has been widely used in the derivatives market. In this paper, reinforcement learning, one of the machine learning techniques, is applied to analyze the scalping technique that trades futures in minutes. The data set consists of 21 attributes using the closing price, moving average line, and Bollinger band indicators of 1 minute and 3 minute data for 6 months by selecting 4 products among futures products traded at trading firm. In the experiment, DNN artificial neural network model and three reinforcement learning algorithms, namely, DQN (Deep Q-Network), A2C (Advantage Actor Critic), and A3C (Asynchronous A2C) were used, and they were trained and verified through learning data set and test data set. For scalping, the agent chooses one of the actions of buying and selling, and the ratio of the portfolio value according to the action result is rewarded. Experiment results show that the energy sector products such as Heating Oil and Crude Oil yield relatively high cumulative returns compared to the index sector products such as Mini Russell 2000 and Hang Seng Index.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.173-178
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• 2023

As Korean literature spreads around the world, its position in the overseas publishing market has become important. As demand in the overseas publishing market continues to grow, it is essential to predict future book sales and analyze the characteristics of books that have been highly favored by overseas readers in the past. In this study, we proposed ensemble learning based prediction model and analyzed characteristics of the cumulative sales of more than 5,000 copies classified as good sellers published overseas over the past 5 years. We applied the five ensemble learning models, i.e., XGBoost, Gradient Boosting, Adaboost, LightGBM, and Random Forest, and compared them with other machine learning algorithms, i.e., Support Vector Machine, Logistic Regression, and Deep Learning. Our experimental results showed that the ensemble algorithm outperforms other approaches in troubleshooting imbalanced data. In particular, the LightGBM model obtained an AUC value of 99.86% which is the best prediction performance. Among the features used for prediction, the most important feature is the author's number of overseas publications, and the second important feature is publication in countries with the largest publication market size. The number of evaluation participants is also an important feature. In addition, text mining was performed on the four book reviews that sold the most among good-selling books. Many reviews were interested in stories, characters, and writers and it seems that support for translation is needed as many of the keywords of "translation" appear in low-rated reviews.

• Asia Marketing Journal
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• v.6 no.3
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• pp.143-156
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• 2004

This case intorduced E-mart's business philosophy and vision, analyzed E-mart's outline of marketing strategy, and discussed its performance and future task. E-mart took the role of market pioneer by developing discount store market in Korea. It's mission was to provide substantial benefits to the customers by selling quality products at the lowest price in the market. For this purpose, E-mart has conducted a slogan of 'everyday low price discount store-E-mart'. Objective of E-mart's brand strategy was to be No. 1 discount store in Korea or to be a representative brand in the discount store market. To achieve this objective, E-mart has conducted various efforts such as construction of national network, realization of the lowest price, formation of the most reliable discount store image, establishment of competitive edge and so on. E-mart settled a new model for discount store in Korea and took the lead in expanding market potential. With these efforts, E-mart has maintained secure position as a leading company in the discount store market.