• Journal of the Korea Society for Simulation
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• v.8 no.2
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• pp.87-100
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• 1999

A manufacturing environment without a computerized system causes numerous problems, since many important decisions are made based on the experience of veteran staffs. Especially, when a strategy for the improvement of manufacturing efficiency is considered, it is hard to predict the effect of the strategy. A solution to the problem without large investment of the computerized system is the simulation study. This paper shows the modeling and simulation based on DEVS(Discrete Event System Specification). Two types of models are implemented, one for representing the current production strategy and the other for the new strategy. The new strategy is expressed as priority rules within the model. The process in concern is the metal grating production process in which the size of the group, for applying a specific cutting and scheduling strategies, is one of the important factors in improving the production efficiency. Some reliable criteria for the evaluation related to the production effeciency are established from the simulation study.

• Management & Information Systems Review
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• v.27
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• pp.149-172
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• 2008

Since the 9/11 terror attack, the event which caused supply chain disruption, supply chain security has becomes more important than ever before. Furthermore, such company's logistics strategies conflicting supply chain security as increased global sourcing, JIT manufacturing are increasing supply chain vulnerability. It could burden for global companies to strengthen supply chain security because not only it requires additional investment cost but also changes of companiy's global logistics strategy. However, on the other hand, supply chain visibility and resilience can be improved through supply chain security. In addition, it allows companies to stabilize supply chain structure as well as rapid and flexible response to market demand. The key issue is balancing between efficiency and supply chain security. To do this, identifying risk elements under the supply chain and assessing vulnerability of each supply chain components should be performed before developing efficient supply chain security management system without obstructing supply chain efficiency.

• Korean Management Science Review
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• v.23 no.1
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• pp.87-113
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• 2006

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of the firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on those theories, this paper attempts to identify dynamic relationship between product innovation and process innovation by system dynamics, by investigating the aspect of the dynamic changes of the closed feedback circulation structure in which R&D investments drive technological knowledge accumulation, and such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in the increase of productivity, customer satisfaction, profit generation, and re-investment on R&D from the created profits. This provides the ability to assess the advantages and disadvantages of different technological innovation strategies and commitments, and the opportunity to explore equilibrium point and suggest a generalized technological innovation model under different industry environment parameters and time-strategies.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.2
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• pp.43-61
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• 2015

The valuation of patents is very important, since technology competitiveness is crucial for firms to maintain global competitiveness. But, the patent valuation is difficult and challenging because of the uncertainty affecting their returns. Hence, we propose a patent valuation method by incorporating game theory into the real option model, which can not only potentially recognizes the effect of uncertainty on patent value, but also consider investment decision in a competitive market, as a game between firms. With the model, we can consider dynamic strategy involving an option of patent leveraging strategies enabling the firm to switch among compete, cooperate, or wait modes under different demand or competitive advantage condition.

• Korea Journal of Hospital Management
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• no.spc
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• pp.25-38
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• 2016

There are many policies around the world regarding Information Communication Technology (ICT). In 2012, the World Health Organization emphasized the strategic and integrated policy for the development and dissemination of ICT-based healthcare innovations at the national level. As technologies related to ICT are introduced in various countries around the world, each country announces policies and strategies to preoccupy these new industries. However, Korea is tied to various regulations in investment of ICT and thus lags behind other countries. Therefore, in this section, we review the present status and problems of ICT development in Korea and compare these with other major countries. Finally, we present the ICT development strategies and tasks in Korea.

• Journal of the Korea Safety Management & Science
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• v.23 no.4
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• pp.113-120
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• 2021

In the past, manufacturing-oriented industries focused on improving labor productivity to achieve economic growth. Korea is changing from a labor-intensive industry to a technology-intensive industry in order to occupy a competitive edge compared to other countries. Recently, a lot of investment has been made not only in technology-intensive industries but also in information industries. Therefore, it is developing in various forms such as special technology, platform industry, and virtual reality as a technology-intensive industry and information industry field. In this social phenomenon, the necessity of starting a business using new ideas and technologies is increasing. Therefore, universities also need entrepreneurship education for their students, and it is necessary to investigate how the contents of the university's start-up education support, individual achievement needs, and the degree of acquisition of start-up knowledge affect the establishment of business strategies necessary for start-ups.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.775-781
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• 2008

The purpose of this paper is to analyse the key factors influencing the life insurance companies's competitiveness. Various performance variables differentiate this paper other existing studies employing a single performance variable. The business activity is divided into two categories, the underwriting activity and the investment activity. Each activity produces two performance, cost and profit performance. This study analyses the factors influencing four performance variables and suggests implications enforcing the life insurance companies' competitiveness based on the analysis. The results of this study are summarized as follows. Firstly, we find a statistically significant correlation between the cost performance in the under-writing activity and other performance variables. However, there in not a statistically significant correlation between the other three performance variables, the cost performance in the investment activity, the profit performance in the under-writing activity. Secondly, it is desirable to increase the selling of protection products for enforcing the competitiveness in respect of the cost performance. Finally, it is needed to increase the ratio of loans for enforcing the competitiveness in the area of the investment activity.

• The Journal of Information Systems
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• v.27 no.3
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• pp.43-62
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• 2018

Purpose Since the Bitcoin, which was the first virtual currency, was made at 2009, almost 1,000 virtual currencies appeared onstage in the world. Even though virtual currencies have the function of money as a medium of exchange or contract, any of those has not yet entered the commercialization stage. Instead, some of the virtual currencies show the nature of investment assets. In the case of virtual money investment, users tend to use all the information of the world because information transfer is very easy and capital movement is almost free between different countries. In addition, as the transaction sizes of virtual currencies increase, a virtual currency price is no longer independent and is likely to be affected by the prices of other virtual currencies. Therefore, it is necessary to understand the influence among virtual currency markets, which helps successful implementation of investment strategies. Design/methodology/approach This study focuses on the investment product function of virtual money and conducts the analysis using the time series model used in the financial and economic areas. In this paper, we try to analyze the return and volatility transfer effect of virtual money markets through GJR-GARCH model. Findings This study is expected to find out whether we can make market forecasts through reflecting changes in other markets. In addition, we can reduce the trial and error of user decision making by using the information on the yield and volatility transition effect derived from the research results, and it is expected to reduce the opportunity cost of users.

• Korean Journal of Agricultural Science
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• v.34 no.1
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• pp.85-97
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• 2007

This study aimed at analyzing the economic effect of outdoor swimming pool investment using the reservoir's amenity resources. We focused on the identification of the amenity value of reservoir in the rural area and the economic evaluation for establishing This study aimed at analyzing the economic effect of outdoor swimming pool investment using the reservoir's amenity resources. We focused on the identification of the amenity value of reservoir in the rural area and the economic evaluation for establishing infrastructure such as swimming pool based on the reservoir's landscape value. To this end, we have conducted the case study on the outdoor swimming pool in connection with Go-Bok reservoir in Yeon-Gi county, Chungnam Province and estimated its income effect on the rural community by cost-benefit analysis method. The research results are as follows; 1) Outdoor swimming pool participants, with 11,581 visitors totaled to Yeon-gi county every year, was estimated to spend the worth of 58,446 thousand won paid for the agricultural product purchase and etc. 2) Internal rate return of the outdoor swimming pool project was estimated to 16.19%, which considered to be economically feasible comparing with 10% of current capital opportunity cost. Based on the results of this study, we suggest the following strategies for development of amenity value of swimming pool in connected with the reservoir; 1) Reservoir amenities should be well preserved even after construction of swimming pool lest losing amenity values while managing the facilities. 2) Measures to increase the marketing value of intangible reservoir's amenities through promotion should be established. 3) Effective program for more visitors with longer staying and more agricultural products sales should be designed.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.249-258
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• 2021

Bitcoin prices have been soaring recently as investors flock to cryptocurrency exchanges. The purpose of this study is to predict the Bitcoin price using a deep learning model and analyze whether Bitcoin is profitable through investment strategy. LSTM is utilized as Bitcoin prediction model with nonlinearity and long-term memory and the profitability of MA cross-over strategy with predicted prices as input variables is analyzed. Investment performance of Bitcoin strategy using LSTM forecast prices from 2013 to 2021 showed return improvement of 5.5% and 46% more than market price MA cross-over strategy and benchmark Buy & Hold strategy, respectively. The results of this study, which expanded to recent data, supported the inefficiency of the cryptocurrency market, as did previous studies, and showed the feasibility of using the deep learning model for Bitcoin investors. In future research, it is necessary to develop optimal prediction models and improve the profitability of Bitcoin investment strategies through performance comparison of various deep learning models.