• Journal of Information Technology Applications and Management
• /
• v.9 no.4
• /
• pp.65-78
• /
• 2002

We propose a new application method of the datamining technique that might help building an efficient trade strategy in the stock market, where the analysis of the huge database is essential. The proposed method utilizes the association rules among the price changes of individual stock from the market basket analysis (a datamining technique typically used in the Marketing field) in building the strategy We also apply the proposed method to the daily stock prices in Korean stock market, from Jan. 2000 to Dec. 2001. The application results show that the proposed method gives an significantly higher yield rate than the actual stock chage rate.

• Korean journal of food and cookery science
• /
• v.32 no.6
• /
• pp.734-744
• /
• 2016

Purpose: This study investigated the preference and awareness of consumers residing in the capital area with respect to South and North Korean regional cuisine to provide baseline data for developing effective commercialization strategies. Methods: This survey was conducted among adults over the age of 19 years who were residing in Seoul and Gyeonggi province area, and data analysis was performed using SPSS WIN 18.0. Results: Analysis of the survey participants' preference for South and North Korean regional cuisine showed that Hwanghae province had the highest preference by $4.35{\pm}1.72$ points, whereas Gangwon province had the lowest preference by $3.75{\pm}0.66$ points. Factorial analysis on general characteristics of Korean regional cuisine resulted in 2 factors - 'locality' and 'health'. Cluster analysis showed that participants could be sorted into two clusters by their awareness of Korean regional cuisine - 'the lower cognitive group' and 'the higher cognitive group'. Cluster analysis on the tourism commercialization strategy for Korean regional cuisines showed that 'the higher cognitive group' had significantly higher awareness regarding the following 3 items: 'merchandising strategy', 'popularization strategy' and 'marketing strategy' (p<0.001). Cluster analysis of the world commercialization strategy showed that 'the higher cognitive group' had significantly higher awareness regarding all items of the 'R&D support strategy' and 'Food culture promotion strategy' categories than the 'the lower cognitive group' (p<0.01). Conclusion: Popularization strategies such as value perception based on the well-being concept, and standardization of recipes; merchandising strategies based on storytelling; and food and culture promotional strategies such as Korean cooking classes and food tasting events, were rated as effective commercialization strategies to increase the popularity of Korean regional cuisine.

• IE interfaces
• /
• v.14 no.3
• /
• pp.326-333
• /
• 2001

The purpose of this paper is to empirically investigate the relationships between market environments and technology strategy using the data gathered from Korean manufacturing firms. As the significant environmental factors influencing company's technology strategy, two sorts of market aspects are considered; market competition factor and technological dynamics factor. And companies are categorized with respect to the characteristics of market environments they are facing with. Then we seek to find the differences in the contents of technology strategy among the companies in different types of environments through statistical analysis. As a result, it is found that there exist significant relationships between the companies' technology strategy and the environments facing firms.

• The International Journal of Costume Culture
• /
• v.3 no.3
• /
• pp.235-245
• /
• 2000

The purposes of this study were 1) to investigate usage level of production strategies based on group of production environment, 2) to investigate usage level of production systems based on group of production strategy, and 3) to analyze each of company performance based on group of production strategy and system. For this study, the questionnaires were administered to 215 apparel manufactures in metropolitan area from Feb. to Mar. 1998. Employing a sample of 201, data were analyzed by factor analysis, descriptive statistics, cluster analysis, discriminant analysis, and multivariate analysis of variance. The following are the results of this study. 1. Concerning production strategy due to group of production environment, the stable group and the complicated group prefer to rice/quality centered strategy but the level of usage for strategies is so pretty that it is not significant to carry out them. 2. Concerning production system due to group of production strategy, the workers centered group is occupied high in the price/quality centered group & the complex group. And also the product centered system is occupied high in the flexibility centered group. 3. Concerning company performance due to group of production strategy and system, the price/quality centered group holds low position of performance comparing to another groups. And the performance of the managers centered group is higher than that of the workers.

• Journal of Information Technology Applications and Management
• /
• v.11 no.1
• /
• pp.117-135
• /
• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• Journal of Navigation and Port Research
• /
• v.33 no.4
• /
• pp.263-270
• /
• 2009

Busan North port is facing crisis due to the opening of the New port. The North Port and NewPort are competing for a limited volume of cargoes and this competition is leading after all to price competition, lowering cargo work fee that may result in the failure of both This paper proposed the balanced development plans, which are the strategies of business tie-up and activation between the North Port and NewPort by introducing the strategy of "co-opetition" and the analysis for the success factor of co-opetition: to solve this operational problems on Busan port. It is found out that activation strategy is more successful co-opetition strategy than business tie-up strategy. The execution for the two co-opetition strategies will lead Busan Port to the balanced development as well as the enhanced competitiveness and will leap Busan port into global hub port as well.

• International Journal of Advanced Culture Technology
• /
• v.10 no.4
• /
• pp.389-395
• /
• 2022

This paper selected 'Line', the messenger application of Korea's leading software-based IT company 'Naver', and performed a case analysis specially in the early stages of the messenger industry. First, this study analyzed what the mobile messenger industry is and the external environment. Next, an internal analysis was carried out through the strengths and weaknesses through Naver Line's resources and capabilities. With this analysis, this study could evaluate the platform strategy, communication strategy, and the user basic strategy that Naver is carrying out. This study gave us more understanding of the mobile instant messenger (MIM) industry and understand Naver's growth strategy, which will provide great implications for the working staff of IT companies.

• Earthquakes and Structures
• /
• v.15 no.2
• /
• pp.155-164
• /
• 2018

Design of structures subjected to blast loads are usually carried out through nonlinear inelastic dynamic analysis followed by imposing acceptance criteria specified in design codes. In addition to comprehensive aspects of inelastic dynamic analyses, particularly in analysis and design of structures subjected to transient loads, they inherently suffer from convergence and computational cost problems. In this research, a strategy is proposed for design of steel moment resisting frames under far range blast loads. This strategy is inspired from performance based seismic design concepts, which is here developed to blast design. For this purpose, an algorithm is presented to calculate the capacity modification factors of frame members in order to simplify design of these structures subjected to blast loading. The present method provides a simplified design procedure in which the linear dynamic analysis is preformed, instead of the time-consuming nonlinear dynamic analysis. Nonlinear and linear analyses are accomplished in order to establish this design procedure, and consequently the final design procedure is proposed as a strategy requiring only linear structural analysis, while acceptance criteria of nonlinear analysis is implicitly satisfied.

• Structural Engineering and Mechanics
• /
• v.23 no.6
• /
• pp.675-689
• /
• 2006

In structural analysis of tall buildings the traditional primary loading analysis approach that assumes all the loads are simultaneously applied to the fully built structure has been shown to be unsuitable by many researches. The construction sequential analysis that reflects the fact of the level-by-level construction of tall buildings can provide more reliable results and has been used more and more. However, too much computational cost has prevented the construction sequential analysis from its application in CAD/CAE software for building structures, since such an approach needs to deal with systematic changing of resultant stiffness matrices following level-by-level construction. This paper firstly analyzes the characteristics of assembling and triangular factorization of the stiffness matrix in the finite element model of the construction sequential analysis, then presents a fast construction sequential analysis strategy and a corresponding step-by-step active column solver by means of improving the existing skyline solver. The new strategy avoids considerably repeated calculation by only working on the latest appended and modified part of resultant stiffness matrices in each construction level. Without any simplification, the strategy guarantees accuracy while efficiency is greatly enhanced. The numerical tests show that the proposed strategy can be implemented with high efficiency in practical engineering design.

• Korean Management Science Review
• /
• v.23 no.2
• /
• pp.109-135
• /
• 2006

Despite much attention of strategy implementation, there is rarely a study focusing on the ways to evaluate the strategy implementation competence. Therefore, based on broad literature review, we suggested a simple model and procedure to evaluate the technology strategy implementation competence based on importance-Performance Analysis (IPA). The proposed model applied to the case of 'Company A' in order to examine the feasibility. We grasped the importance of strategic direction by surveying the employees in 'Company A', and also measured relative importance and performance of critical technology strategy implementation factor. By analyzing the results of the survey, we can identify the barriers to implementing the technology strategy in 'Company A'.