• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.159-174
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• 2007

The purpose of this research is to investigate the relationships among the perceived satisfaction, the perceived the trust, the commitment, the key features for mobile phone, the brand image, the switching cost and the repurchasing intention. We also examine the differences between Korean and Indonesian markets concerning the relationships of these key successfactors. The structural model is tested with the data form each of the sub-samples (i. e. Korean and Indonesian users taken separately). Properties of the casual paths, including standardized path coefficients, the significance of difference, and variance explained for trust, satisfaction, commitment and repurchasing in the hypothesized model, are presented. This study indicated that hardware (sound quality, LCD display, design) user interface (GUI, Menu, Key pad) and extra functions (camera phone, wireless internet, MP3 player) are the three important factors effecting the trust and the satisfaction. The proposed model has been newly tested from the technological prospective in order to get the more practical result. Following the model test, we conduct a test of the differences in path coefficients between Korean and Indonesian users. MSEM show that, compared to Korean market, Indonesian had more emphasized on extra-function for the mobile phone as well as giving more influence to the satisfaction from the brand image. It means Korean market consider the extra-function as basic or no-premium points. And the satisfaction has been effected by switching-cost in Korea but the trust in Indonesia. Other interesting result from the structural weight invariance indicate that, compared to Korean market, the brand-image has effected the satisfaction in addition to placing more the trust on determining the commitment in Indonesia.

• Korean journal of communication and information
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• v.57
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• pp.7-32
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• 2012

The purpose of this study was to examine the perverted labors of online newspapers' editors in Korea. Online newspaper editors' works were be influenced directly and indirectly by the printed newspaper, the parent company of online newspaper. Their labor conditions were poorer than online newspaper editors'. And online newspapers' editors didn't have status as professionals. They set a premium on Internet traffics on their works. For online newspaper editors' normal labor conditions, the most practical measure was to normalize the editorial system of online newspapers. How to raise the status of online newspaper editors was to secure the online newspapers' editorial right. And to conclude, to improve the quality of online journalism in Korea, the most urgent issue is to improve online newspaper editors' professionalism.

• Journal of Internet Computing and Services
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• v.2 no.4
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• pp.1-10
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• 2001

In this paper, we define requirements for call distribution of service control logic in Intelligent Network, Also, we propose call distribution mechanism for every subscriber with different call distribution rates, The call distribution mechanism had been developed as a function of Premium-rate Service in Intelligent Network. Our call distribution mechanism applies to percentage distribution instead of circular or hierarchical distribution. The call distribution mechanism consists of call input. output. call distribution processing logic part, random number generator, and customers database. We propose the practical implementation of a call distribution mechanism and call distribution decision indicating number computation method. We show three methods, the rand() function in C language, microsecond by system clock, and proposed algorithm, to get call distribution decision indicating number. In order to optimal call distribution mechanism, we estimated the results of three methods on occurrence values and the number of occurrences.

• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.133-140
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• 2008

The cable TV network has delivered downward broadcasting signals from distribution centers to subscribers. Since the traditional coaxial cable has been upgraded by the Hybrid Fiber Coaxial(HFC) cable, the upward channels has expanded broadband services such as Internet. This upward channel is vulnerable to ingress noises. When the noises from the children nodes accumulated in an amplifier exceeds a certain level, that node has to be cut off to prevent the noise propagation. The node selection problem(NSP) is defined to select nodes so that the noise in each node does not exceed the given threshold value and the sum of Profits of selected nodes can be maximized. The NSP has shown to be NP-hard. In this paper, we have proposed heuristics to find the near-optimal solution for NSP. The experimental results show that interval partitioning is better than greedy approach. Our heuristics can be used by the HFC network management system to provide privileged services to the premium subscribers on HFC networks.

• Journal of Adhesion and Interface
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• v.15 no.4
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• pp.145-150
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• 2014

Dicyclopentadiene (DCPD)-based hydrocarbon resins are widely used as tackifiers in many applications. In particular, hydrogenated DCPD-based hydrocarbon resins are widely used in premium hot-melt-type adhesives such as hot melt adhesives (HMAs) and/or hot melt pressure-sensitive adhesives (HMPSAs), because are water-white in color and possess excellent stability to light and heat. This article discusses the adhesive performance of various hydrogenated DCPD resins when they are used as tackifiers in styrene-block-copolymer (SBC)-based HMPSAs. This article shows the correlation between the characteristics of tackifiers and the adhesive performance of SBC-based HMPSAs. The higher the softening point of the tackifier, the higher is the $T_g$, softening point, and crossover temperature of the PSAs. High aromatic H wt% content reduces the high-temperature resistance of PSAs, as suggested by the decrease in the crossover temperature and softening point of the PSAs.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.51-60
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• 2015

Recently the sales of PB products attribute shows a steady growth day by day. The consumers buy them due to low prices, however, lately they buy the high premium PB products. And thus the large distributors made a rapid growth of sales. The aim of this study is to analyze what the PB products attributes may affect the consumers' purchase behavior. First, the attribute factors of the PB products: store image, knowledge and information, quality perception, economic value etc. have effects on the consumer attitude after usage experience with PB products. Second, the consumer attitude after usage experience with PB products can have an effect on the purchase behavior. As a result of this study, the various attributes of PB products such as store image, knowledge and information, quality perception, economic value appeared to be positive effect. At the same time the attitude after buying the PB products showed positive effects on the purchase behavior.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.209-214
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• 2014

Despite the recession of the global market, the domestic electronic appliance companies dominated TV market in North America. They took both the premium and mid-priced product market and achieved both profitability and volume due to strong product competitiveness and brand power. Despite doing well in the North American market, the domestic TV manufacturers are worried about product development, marketing and sales strategies to remain the continuous competitiveness in the TV market. This study proposes the a sales prediction model of electronic appliances using sales data of S company from the North American market. We develop the sales prediction models based on multiple regression analysis and artificial neural network and compare two models. Especially, this study analyzes the relevance between the TV sales and TV main features in order to improve the price competitiveness or improve the value of TV products.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.6
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• pp.915-923
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• 2014

This study investigated organic coffee choice motives from a coffee shop market segmentation perspective in order to understand the potential importance they may have upon attitudes and behavioral intentions to buy organic coffee. A factor-cluster segmentation approach was used for this study. An exploratory factor analysis identified five organic coffee choice motives: 'Sensory', 'Environment', 'Trust', 'Health' and 'Price'. Based upon these five choice motives, cluster analyses classified all respondents into three homogeneous subgroups: 'Highly motivated', 'Moderately motivated' and 'Unmotivated'. Analysis of variance tests indicated that attitudes and intentions to purchase organic coffee were significantly different among the three clusters. In particular, two cluster groups representing 'Highly motivated' and 'Moderately motivated' were found to offer the most utility for further organic coffee market segmentation research. Especially, due to perceptions about high price premium of organic coffee, the 'Moderately motivated' group had higher positive attitudes, although, their intentions to buy organic coffee were not higher than those of the 'Unmotivated' cluster. Findings support previous research propositions that high price could be the strongest barrier for people to purchase organic products including the organic coffee business context. This will assist to market and promote pricing strategies for caf$\acute{e}$s and restaurants to optimize organic coffee sales revenue. Implications for all cluster groups regarding unique socio-demographic characteristics and behavioral intentions are discussed. Organic coffee marketers can apply these findings towards the development of effective target market strategies.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.857-871
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• 2013

Export credit insurance is a policy tool for export growth. In the era of free trade under the governance of WTO, export credit insurance is still allowed as one of the few instruments to increase exports. This paper, using data on short-term export insurance contracts issued to foreign subsidiaries of Korean companies, calculates the expected loss per exposure by combining the effect of risk factors (credit rate of foreign importers, size of mother company, and payment period) on loss frequency and loss severity in different levels. We, applying generalized linear models (GLM), first fit loss frequency and loss severity to negative binomial and lognormal distribution, respectively, and then estimate the loss frequency rate per contract and the ratio of loss severity to coverage amount. Finally, we calculate the expected loss per exposure for each level of risk factors by combining these two rates. Based on the result of statistical analysis, we present the implication for the current premium rate of export insurance.

• Journal of the Korea Society for Simulation
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• v.20 no.2
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• pp.29-40
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• 2011

This paper focuses on the sensitivity analysis for the calibration of an agent-based simulation that analyzes the brand-level diffusion dynamics of competing products in the domestic premium mid-sized car market. In this paper, we employ a consumer-agent model that imitates the purchasing characteristics and behaviors of the consumers. The group of consumer agents that are socially interconnected represents a virtual market. By spreading the product information from previous adopters to potential consumer agents in the virtual market, the word-of-mouth phenomenon emerges like in the real market. The phenomenon influences the product choice of potential consumer agents that causes the variation of the product diffusion dynamics. In this simulation model, it is important to calibrate the virtual market parameters(e.g., ratio of innovators, social network structure, purchase time decision method) so that the virtual market can simulate the real market. However, it is difficult to measure these parameters directly from the real market. In this paper, we analyze the diffusion dynamics of simulations under various conditions in comparison with real sales data to calibrate the parameters.