• Journal of Distribution Science
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• v.18 no.8
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• pp.47-54
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• 2020

Purpose: Through strategic marketing, art galleries can help retain the artistic value in an extensively urbanized world and also provide a means to showcase aspirational messages that artworks attempt to portray. The purpose of the current study is to analyze a marketing strategy for an art gallery based on prior marketing theories. Research design, data and methodology: Scant research is available to guide regarding what elements of marketing theories should be applied to accomplish customer satisfaction in an art gallery business plan. Thus, the present authors suggest more specific marketing strategy using four traditional marketing theories for practitioners who conduct business planning strategy in an art gallery. Results: The current study suggests the synthesized model for a successful business plan of an art gallery and figured out that two distinctive segments through marketing mix and SWOT analysis are ideal because it would be easier to meet visitors' aesthetic tastes while still meeting organizational objectives. Conclusions: As all other businesses, art galleries have to adapt to survive by innovating some of the components of the marketing mix to create a competitive advantage. It also requires a strategy for that combines targeting and segmenting with the incorporation of the marketing mix to attain competitiveness.

• Journal of Information Technology Applications and Management
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• v.13 no.1
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• pp.67-75
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• 2006

In this paper, we investigate the economic repercussion effects of the domestic satellite industry. The market size of the satellite industry between 2005 and 2009 is forecasted based on the world market forecast. By using the Input-Output analysis technique, three kinds of repercussion effects (domestic production, value added, workers induced by the satellite industry) between 2005 and 2009 are calculated.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.4
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• pp.267-274
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• 2011

Recently, actor-critic methods have drawn significant interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy. In this paper, we consider a new type of actor-critic algorithms employing the kernel methods, which have recently shown to be very effective tools in the various fields of machine learning, and have performed investigations on combining the actor-critic strategy together with kernel methods. More specifically, this paper studies actor-critic algorithms utilizing the kernel-based least-squares estimation and policy gradient, and in its critic's part, the study uses a sliding-window-based kernel least-squares method, which leads to a fast and efficient value-function-estimation in a nonparametric setting. The applicability of the considered algorithms is illustrated via a robot locomotion problem and a tunnel ventilation control problem.

• Proceedings of the Korea Database Society Conference
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• 2001.06a
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• pp.251-260
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• 2001

For a continuous revenue increase, a new scheme to increase sale volume is a necessity. This new scheme is based on a revaluation of the customer value for the sake of the future of a company. The concept and use of CRM and OLAP(On-Line Analytical Processing) are introduced in this report. The effectiveness of OLAP-based CRM is demonstrated through a case study of a typical retail company. The research suggests the need for the establishment of a marketing strategy to build a long-term relationship with individual customers. The needs for a scientific and systematic analysis of the industry, competitors and customers are elaborated.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.93-109
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• 2022

Today, digital transformation in providing service value to companies that combine service and technology is becoming a necessity. In the transition period of digital transformation, various factors such as data, artificial intelligence technology, and partnerships can become competitive factors. In particular, digital transformation, which combines information and services with customers, creates a new business model that changes the entire industry and is presented as core competitiveness that creates customer value. From these aspects, the purpose of this case study is to derive competitive advantages on digital transformation using the case of company S. First, the study analyzes the same type of industry based on the case of app service. Second, this study presents preference factors in the operational process to enhance competitiveness by expanding user participation in accommodation reservation services. In addition, the customer service value model provides through the analysis of the five competitive factors in the operational process. This study elaborates the implications of the customer service value creation model in terms of new opportunities and challenges in digital transformation as a new customer service strategy.

• Management & Information Systems Review
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• v.31 no.3
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• pp.21-46
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• 2012

This paper attempts to offer an effective strategy of hedge fund based on trade probability control in the futures market. By using various technical indicators, we create an association rule and transforms it into a trading rule to be used as an investment strategy. Association rules are made by the combination of various technical indicators and the range of individual indicator value. Adjustments of trade probabilities are performed by depending on the rule combinations and it can be utilized to establish an effective investment strategy onto the risk management. In order to demonstrate the superiority of the investment strategy proposed, we analyzed a profitability using the futures index based on KOSPI200. Experiments results show that our proposed strategy could effectively manage and response the dynamics investment risks.

• Journal of Information Technology Applications and Management
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• v.15 no.4
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• pp.221-245
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• 2008

Recently, mobile internet technologies are enabling the possibility of radically new computing services which can share information and communicate with others on the move. In this situation, prior studies have attempted to identify of what factors make people use mobile internet. However, prior researches focused on investigating the factors affecting users' adoption to Mobile Internet. In order to offer beneficial materials to mobile internet companies, we investigated important factors to increase mobile users' value from the viewpoints of customer. In particular, this study was progressed how characteristics of mobile contents affect users' intrinsic attributes and how perceived users' network effects affect users' value in the mobile computing environments. To empirically test proposed hypotheses, we have analyzed 285 survey data gathering from mobile internet users and verified hypotheses by using SEM (structural equation modeling). Based on the results of this study, we found that content accessibility and content quality have significant impacts on users' intrinsic attributes such as perceived usefulness and perceived enjoyment. In addition, this study also revealed that perceived usefulness and perceived enjoyment were positively related to users' emotional value. Moreover, this study found that perceived users' network effects could affect users' monetary value by mediating expected benefits. Based on our findings, we can understand that this perspective can provide a deeper understanding of the mobile users' value adoption by bridging the gap between mobile internet studies and actual practice.

• Journal of information and communication convergence engineering
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• v.8 no.5
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• pp.595-601
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• 2010

The strategy through visual sense is one of the ways that subject builds the outside world and communicates. The visual sense seems higher level of dependence than the other senses and contributes to intercommunication. For this reason, the desire of image dates back to primitive art and visual image(visual media and visual culture) has dialectically developed in the history of mankind. Visual subject, based on perspective of Renaissance, was moved from God to human beings. Andre Bazin's 'la genese automatique' through technical art has epochally changed the paradigm of visual art and visual culture. From primitive art to photo and film, the image, based on visual sense, has reflected human wish, appealed visual desire and led to evolution of image. In the late 20 century, without dialectical evolution of technology and culture, rapidly progressive digital image has changed social and cultural implication over rational strategy of production and distribution and it strengthened authority of image through visual approach of endless desire. The goal of this study is to analyze the value change of digital image developing a new Renaissance through production, reading, communication, and implication of evolution due to digitalized image, which has evolved as object and tool of desire.

• The Journal of Korea Robotics Society
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• v.15 no.3
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• pp.212-220
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• 2020

This paper deals with a strategy of gain optimization for the kinematic control algorithm of a wire-driven surgical robot. The proposed controller consists of the closed-loop inverse kinematics with the back-calculation method. The closed-loop inverse kinematics has 18 PID control gains, and the back-calculation method has 6 gains. An efficient strategy is designed to optimize 18 values first and then the remaining 6 values. The optimal gain sets are searched under the step input with performance indices. In this gain optimization, the objective function is defined as the minimum value of signal-to-noise ratio of the performance indices for 6 DoF (Degree-of-Freedom) motion that is based on the Taguchi method, and the constraints are applied to obtain stable responses for each motion evenly. The gain sets obtained are verified by simulations using the test trajectories. In comparative results, the optimal gain value based on the performance index combined with ISE (integral of square error) and settling time showed the best control performance.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.696-697
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• 2015

Cost, schedule, and quality are the three major performance indicators for any construction project. Under the globalized competition in the nuclear industry, researchers and practitioners have also explored a systemized and integrated management system for cost, schedule, and quality. In order to address this issue, the concept of earned value management system (EVMS) has been often utilized. However, implementing EVMS for a mega-project of nuclear power plant (NPP) construction requires extensive overhead efforts. Though previous studies proposed structures and methods for effective NPP EVMS, there has been no legitimate study for data collection strategy for practical implementation. In this context, the purpose of this paper is to develop an effective data collection strategy for NPP EVMS. Firstly, the barriers to practical NPP EVMS were identified based on literature review and expert interviews. Strategies for data collection were then developed based on different phases of project life cycle. This study focuses on the 'life-cycle integrated progress management system' for NPP construction from an owner's perspective Therefore, results of this study can be used as a guide for preparing request for proposals (RFP) of an NPP owner organization.