• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.8
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• pp.941-950
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• 1999

This paper presents a DSM monitoring methodology that is able to evaluate the impact of DSM programs especially focused on the strategic conservation i.e. the enhancement of end-use energy efficiency. For an effective assessment of DSM programs, it is foremost necessary to examine the market characteristics on the specific end-use appliance according to the customer's adoption of DSM programs. The proposed monitoring methodology contains a diffusion process of high efficient end-uses considering major factors of DSM impact such as, price, reference capacity, forecasted capacity and lifetime of end-use appliances. Case studies show the projection of power reductions and energy savings resulted from DSM monitoring in order to diagnose the current status properly and provide a baseline of DSM policy and analysis.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.99-106
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• 2015

The purpose of this research is to bring supportive ways to reinforce the market competitiveness of fusion industry based on the rapidly arising fusion industries considering system improvement and fusion R&D support. The research has proceeded in the order of setup for competitiveness reinforcing way of fusion industry and deduction for competitiveness reinforcing way based on directivity. It classified the fusion industry into introduction, diffusion and development by time, and suggested expert fusion R&D, open type fusion R&D, customized fusion R&D, system improvement of market entrance and supportive way for public purchase as the supportive way. It's purpose is to lead the entrance into the new fusion market, stabilize to settle into the market and create high value products by resolving difficulties for the market entrance of the new fusion products & service, reinforcing the fusion capability and securing the competitive advantage.

• The Korean Journal of Financial Management
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• v.20 no.2
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• pp.73-94
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• 2003

In general, the interest rate is forecasted by the parametric method which assumes the interest rate follows a certain distribution. However the method has a shortcoming that forecasting ability would decline when the interest rate does not follow the assumed distribution for the stochastic behavior of interest rate. Therefore, the nonparametric method which assumes no particular distribution is regarded as a superior one. This paper compares the interest rate forecasting ability between the two method for the Monetary Stabilization Bond (MSB) market in Korea. The daily and weekly data of the MSB are used during the period of August 9th 1999 to February 7th 2003. In the parametric method, the drift term of the interest rate process shows the linearity while the diffusion term presents non-linear decline. Meanwhile in the nonparametric method, both drift and diffusion terms show the radical change with nonlinearity. The parametric and nonparametric methods present a significant difference in the market price of interest rate risk. This means in forecasting the interest rate and the market price of interest rate risk, the nonparametric method is more appropriate than the parametric method.

• Journal of Information Management
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• v.35 no.4
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• pp.17-33
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• 2004

The movement toward knowledge-based economy has been accelerated, which is based on creation, diffusion and utilization of knowledge and information. In this change, Technomarket knowledge information plays a vital role in establishing R&D strategies, deciding on new investments, introducing new technology, finding new market, making up future business plans, etc. In this study, we intend to build a system for techno-market knowledge information, which enables users to analyze and acquire useful data by themselves and provides techno-market knowledge information immediately on technologies and items to experts. In conclusion, through this system we are able to cope actively with the rapid environmental changes and the increasing uncertainties and contribute to a national technology competence.

• Electronics and Telecommunications Trends
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• v.37 no.3
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• pp.74-84
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• 2022

The Korean mobile service market has persistently grown with the number of subscribers and volume of mobile traffic. It shows the slow diffusion of 5G subscribers, and rapid growth of both the MVNO(Mobile Virtual Network Operator) market and unlocked mobile phones. Therefore, this study derives the direction of telcos' strategies and policy implications by empirically analyzing the usage and attitude of LTE and 5G subscribers. Our major findings are as follows: First, our current mobile service subscription market constitutes most long-term customers for their incumbent carriers only by device change from lock-in with bundle services. Mobile tariffs, data speed, and benefits of bundle services are important factors affecting choices and customers' satisfaction with a provider and intentions of churning to another. Second, demand and satisfaction for using 5G are less because speeds and service tariffs act as pain points for 5G services. Third, the users' high preferences for MVNOs and unlocked mobile phones are linked to their subscription to MVNOs' low-cost plans with unlocked mobile phones on online channels. These streams lead to a big change in the market competition that MNO(Mobile Network Operator)s' market shares are expected to decrease and MVNOs' shares will be increased by two times, in the near future. Therefore, MNOs need to change their distribution strategies from offline to online channels and try to resolve the stereotype, "mobile tariffs are expensive," by enhancing their service values. Finally, as consumers prefer one-stop service in the same channel regardless of the distribution channel, policies should focus on the consumers' needs for convenience rather than on the channel separation for perfectly unlocked mobile phones.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.349-371
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• 2022

Purpose: Compared to the rapid growth rate of the domestic automotive LED industry so far, the predictive analysis method for demand forecasting or market outlook was insufficient. Accordingly, product characteristics are analyzed through the life trend of LEDs for automotive exterior lamps and the relative strengths of p and q using the Bass model. Also, future demands are predicted. Methods: We used sales data of a leading company in domestic market of automotive LEDs. Considering the autocorrelation error term of this data, parameters m, p, and q were estimated through the modified estimation method of OLS and the NLS(Nonlinear Least Squares) method, and the optimal method was selected by comparing prediction error performance such as RMSE. Future annual demands and cumulative demands were predicted through the growth curve obtained from Bass-NLS model. In addition, various nonlinear growth curve models were applied to the data to compare the Bass-NLS model with potential market demand, and an optimal model was derived. Results: From the analysis, the parameter estimation results by Bass-NLS obtained m=1338.13, p=0.0026, q=0.3003. If the current trend continues, domestic automotive LED market is predicted to reach its maximum peak in 2021 and the maximum demand is $102.23M. Potential market demand was $1338.13M. In the nonlinear growth curve model analysis, the Gompertz model was selected as the optimal model, and the potential market size was $2864.018M. Conclusion: It is expected that the Bass-NLS method will be applied to LED sales data for automotive to find out the characteristics of the relative strength of q/p of products and to be used to predict current demand and future cumulative demand.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.255-261
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• 2013

On the study of latest internet based video service diffusion of global broadcasting market. Code cutting of Pay broadcasting user because of Crisis of the pay market. On the other hand OTT(Over-The Top) service growth is pay-TV competitors. Accordingly this study perceived ease of use, perceived usefulness and satisfaction for analysis of internet based video service user. Analysis centered of correlation, regression that perceived ease of use, perceived usefulness and satisfaction.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.386-388
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• 2001

The change of the electricity charge from cost base to price base due to the introduction of the electricity market competition causes consumer to choose a variety of charge schemes and a portion of loads to be affected by this change. Besides, it is required the index that consolidate the price volatility experienced on the power exchange with gaming and strategic bidding by suppliers to increase profits. Therefore, in order to find a mathematical model of the sensitively-responding-to-price loads, the price-sensitive load model is needed. And the development of state-of-the-art technologies affects the electricity price, so the diffusion of high-efficient end-uses and these price affect load patterns. This paper shows the analysis on learning curves algorithms which is used to investigate the correlation of the end-uses' price and load patterns.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.2
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• pp.79-93
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• 2015

Today, consumer needs are diversified, continually changing and differentiated. Under the market conditions of unlimited competition to satisfy those needs, businesses focus on relationship-building with customers, as well as on quality of service. As interests in the coffee market rise, in these days, coffee culture diffusion and coffee franchise chain increase have been proceeding under the lead of the young people. This study aims to find the effects of service quality on customer (Korean, Chinese and Foreigner) satisfaction using logistic regression. The results of this study show somewhat different characteristics depending on the characteristics of country people. It is expected that this study can be very useful in regard to similar business.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.63-89
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• 2006

Recently, the technology is getting to be the most important factor for companies, as the industry is changing fast. The uncertainty and complexity of technology valuation arc higher so that the technology concentrated companies need more developed and high performance technology. This paper reviews the methods of technology valuation for five categories that have been developed by valuation researchers, (1) research of technology diffusion and acceptance model, (2) research of technology valuation, (3) research of technology import and export factor, (4) research of technology valuation model, (5) research of technology transfer and market. And we propose a new technology valuation model using need(market), seed(technology) and deeds(management) factor by cross impact matrix. This model gives us the reference negotiation range for deciding the amount of royalty. I hope this paper induces more research on this field of technology valuation.