• The Journal of Information Technology and Database
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• v.6 no.2
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• pp.115-130
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• 1999

The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.

• Journal of the Korean Society of Costume
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• v.61 no.1
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• pp.34-46
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• 2011

The purposes of this study are to classify apparel service quality elements using the Kano's model, and to identify how much service quality can increase the degree of customer satisfaction when the service quality is fully fulfilled. Women over 20 years-old from metropolitan areas participated in the study. Data from 254 questionnaires were used for the statistical analysis. The results were as follows: First, 17 service quality elements were categorized into one-dimensional quality which could lead to both satisfaction and dissatisfaction, and 3 services quality elements were categorized into indifferent quality which neither result in satisfaction nor dissatisfaction. Second, potential customer satisfaction improvement(PCSI) Index was developed using Kano model and CS coeffient. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in fashion retail store.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.397-410
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• 2018

Purpose: A main aims to classify quality attributes for quality assurance activities of military supplies by company size, and to derive the necessity for business improvement by company size to improve customer satisfaction through customer satisfaction coeffiecient and PCSI Index. Methods: Through a survey of defense and general businesses located in Busan and South Gyeongsang Province, the quality of service elements are classified and the client satisfaction factor and PCSI is calculated for the quality assurance activities. Results: Determine the current level of customer satisfaction with the quality of the Defence quality assurance service and present operational factors that need improvement by size of the company. Conclusion: The attractive quality of service factors for quality assurance work were in common and different and the need for improvement was identified based on differences in PCSI Index by Company size.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.38-45
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• 2006

To be competitive, long-range planning and customer satisfaction must be integrated into the company's strategic management objectives. In order to deal with this challenge, an organization must develop an effective marketing policy. It should take into consideration the needs and demands of customers and business strategy. Many companies want to develop a strategic planning framework for policy marketing. And they think that an effective marketing policy must be based on the principles of quality attributes and customer orientation. This paper proposes an integrated approach Kano Analysis, quality function deployment, Potential Customer Satisfaction Index to choose strategic marketing.

• 한국벤처창업학회:학술대회논문집
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• 2009.10a
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• pp.31-47
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• 2009

In this paper, we propose development of new products including the proposed process of at the customer's requirements. The success of new product development depends on customer satisfaction in the marketplace. Existing product development process, including the customer's interest was weak. In this paper, we propose development of new products which include Kano's attractive quality factor method and Timko's customer satisfaction index method. Also we verified new medical treatment of incontinence-nency which is applied to the proposed process.

• Asia-Pacific Journal of Business
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• v.8 no.1
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• pp.67-77
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• 2017

The purpose of this study was to analysis Korean market competitiveness of Chinese metal items. Methods of analysis were Market Share Index, Market Comparative Advantage. The data was collected through Korean Materials & Components Technology Network and period of analysis were 2009-2016. Chinese main 6 metal items which recorded high-ranked export sum and exported to Korea in 2009-2016. From this study, following results were found. i) In searching trade balance aspects through MSI, highly ranked Chinese metal items in Korea market were steel rolling, pressing&elongation products, steel tubes, steel casting industry. ii) In searching market advantage aspects through MCA, Chinese metal items have strong competitiveness in Korea market. especially, steel rolling, pressing & elongation products, steel tubes, steel casting industry had strong competitiveness in Korea Market. In conclusion, we found that most of Chines metal items have competitiveness in Korea market. Especially, steel rolling, pressing & elongation products had very strong competitiveness in Korea market.

• Journal of Power System Engineering
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• v.18 no.1
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• pp.135-139
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• 2014

We propose some properties for fuzzy hypothesis test by fuzzy significance probability. First, we define fuzzy number data and fuzzy significance probability for repeatedly observed data with alternated error term. By the agreement index, we compare fuzzy significance probability with significance level and drawing conclusions the degree of acceptance and rejection by agreement index.

• Asia pacific journal of information systems
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• v.26 no.4
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• pp.542-560
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• 2016

This study determines whether or not firms can achieve high productivity growth through external technology acquisition. It also identifies the key factors affecting adopting firms' productivity growth by employing the Malmquist productivity index (MPI) methodology, which features computational ease, low data dependency, and decomposition of productivity growth into technical efficiency change and technical change. Results showed that the effects of productivity growth arising from technology transfer became stronger over time. Moreover, patent transfer guaranteed firms' productivity growth, but no evidence was found that factors such as age and size could increase productivity. Finally, cultural similarity could be another factor conditioning the effectiveness of technology transfer in the productivity of adopting firms.

• Management Science and Financial Engineering
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• v.15 no.2
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• pp.101-118
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• 2009

In quantitative contexts, data mining is widely applied to the prediction of stock prices from financial time-series. However, few studies have examined the potential of data mining for shedding light on the qualitative problem-solving knowledge of experts who make stock price predictions. This paper presents a GA-based data mining approach to characterizing the qualitative knowledge of such experts, based on their observed predictions. This study is the first of its kind in the GA literature. The results indicate that this approach generates rules with higher accuracy and greater coverage than inductive learning methods or neural networks. They also indicate considerable agreement between the GA method and expert problem-solving approaches. Therefore, the proposed method offers a suitable tool for eliciting and representing expert decision rules, and thus constitutes an effective means of predicting the stock price index.

• 한국산학경영학회:학술대회논문집
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• 2006.12a
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• pp.107-120
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• 2006

This thesis examines the relationship between the trading volume and price return in the korean stock Index Futures until June 2005. First, the volume of KOSPI200 futures doesn't play a primary role with the clear explanation of return model. Second, an unexpected volume shocks are negatively associated with the return in case of the KOSPI200 futures, but it is a meaningless relation in the KOSDAQ50 futures. In the case of open interest, it's difficult to find any mean in a both futures. Third, The changes in the trading volumes by foreign investors are positively associated with the return and the volatility, but individuals and domestic commercial investors are negatively associated with the return. This empirical result seems that foreign investors are initiatively trading the korean stock index futures, individuals and domestic commercial investors follow the lead made by foreign investors.