• Journal of Korean Institute of Industrial Engineers
• /
• v.39 no.1
• /
• pp.30-45
• /
• 2013

Predicting monthly electricity price has been a significant factor of decision-making for plant resource management, fuel purchase plan, plans to plant, operating plan budget, and so on. In this paper, we propose a sophisticated prediction model in terms of the technique of modeling and the variety of the collected variables. The proposed model hybridizes the semi-supervised learning and the artificial neural network algorithms. The former is the most recent and a spotlighted algorithm in data mining and machine learning fields, and the latter is known as one of the well-established algorithms in the fields. Diverse economic/financial indexes such as the crude oil prices, LNG prices, exchange rates, composite indexes of representative global stock markets, etc. are collected and used for the semi-supervised learning which predicts the up-down movement of the price. Whereas various climatic indexes such as temperature, rainfall, sunlight, air pressure, etc, are used for the artificial neural network which predicts the real-values of the price. The resulting values are hybridized in the proposed model. The excellency of the model was empirically verified with the monthly data of electricity price provided by the Korea Energy Economics Institute.

• Journal of the Korean Home Economics Association
• /
• v.46 no.4
• /
• pp.107-117
• /
• 2008

The aim of this study is to promote an appropriate consumption culture given the features of the segmented female college student group and to utilize these features as basic data at the level of consumer education. The lifestyle of female college students will be identified, along with the current use and customer satisfaction of low price cosmetics that are aimed at this group. The conclusion will be proposed on the basis of the results of this study: Firstly, low price cosmetics producers need to develop products that satisfy the needs of customers and to establish marketing strategies such as sales promotions according to the current trend. Secondly, in order to establish rational purchasing, it is necessary to promote an appropriate consumption culture by offering consumer education to college students. Thirdly, most consumers equate brands with quality. Therefore, companies need to continually produce quality products that may be differentiated from other low price cosmetics, not only in terms of price but also in terms of product quality, in order to enhance the reliability of their brand. Furthermore, it is necessary for consumers to be able to purchase products by considering product quality through searching for diverse information and not merely by depending on any particular brand.

• Journal of the Korean Society of Costume
• /
• v.55 no.5 s.95
• /
• pp.43-54
• /
• 2005

This study was designed towards female college students to find out how increasing promotional marketing means are affecting the evaluation of clothing products; qualify perception, value perception, and purchase intention. 704 female college students participated in this study and SPSS package was used to analyze gathered data. The results of this study were as follows: First, the use of sales promotional means and preference had a significant difference among students demographic factors(residence, whole Income of the family, allowance, and clothing expenses). Second, qualify perception, value perception, and purchasing intention were the three factors of clothing product evaluation. Third, normal price and $30\%$ sale price clothing was perceived as high quality product and $50\%$ sale price clothing was perceived as high valued product. Purchasing intention was high when low price was suggested or promotional gift was given. Fourth, when considering product price as the factor of product evaluation, there were significant difference between the prices of product. And also, considering the product price, there were significant difference among factors of product evaluation and sales promotional means. Fifth, there was significant correlation between qualify perception, value perception, purchasing intention, usage and preference of promotional means. Further more, value perception was main factor that affected purchasing intention.

• The Journal of Society for e-Business Studies
• /
• v.4 no.3
• /
• pp.179-196
• /
• 1999

A cyber shopping mall is a place where consumers acquire the product information and make purchase decision in the cyber space. Even though there are many advantages over traditional malls, there are still several limitations to do shopping in an existing cyber mall. One of them is the absence of efficient search tool to handle various products specifications. Existing search systems usually support the "keyword search only" with limited product information. Consumers spend lots of their time and efforts in searching products and comparing them. Recently, some web sites provide the shopping mall comparison service that supports the additional search conditions such as price and maker. These services improve the situation but it is not still acceptable. In this paper, we propose an intelligent product search system based on a mediator which supports various conditional search for each product. Our system provides consumers with search results that satisfy purchase specifications. Our system is implemented in Visual basic and pert and experimental results show satisfactory performance.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.35 no.4
• /
• pp.33-53
• /
• 2010

When purchase prices of a raw material fluctuate over time, the total purchasing cost is mainly affected by reordering time. Existing researches focus on deciding the right time when the demand for each period is replenished at the lowest cost. However, the decision is based on expected future prices which usually turn out to include some error. This discrepancy between expected prices and actual prices deteriorates the performance of inventory models dealing with fluctuating purchase prices. In this paper, we propose a new inventory model which incorporates not only cost but also risk into making up a replenishment schedule to meet each period's demand. For each replenishment schedule, the risk is defined to be the variance of its total cost. By introducing the risk into the objective function, the variability of the total cost can be mitigated, and eventually more stable replenishment schedule will be obtained. According to experimental results from crude oil inventory management, the proposed model showed better performance over other models in respect of variability and cost.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.28 no.2
• /
• pp.243-251
• /
• 2004

This study was interested in examining the image of a co-brand with the case of＇CHIMERIC＇, the co-brand of Daegu city in Korea. The purpose of the study was to investigate the difference in brand image by brand knowledge and the effects of brand image on brand preference, brand purchase, and brand satisfaction. A total of 354 questionnaires collected from the region(Daegu)＇s residents, who were aware of CHIMERIC, were analyzed. Factor analysis extracted 6 factors of brand image including symbolic image, product, ad, price, distribution, and publicity. The results revealed that there were differences in product and publicity images by brand knowledge. Symbolic and publicity images and brand knowledge affected brand preference, which in turn had the strongest effect on brand purchase. Brand knowledge also affected brand purchase while no direct effect of brand image was observed. Brand satisfaction was affected by brand preference, publicity, and ad image.

• The Research Journal of the Costume Culture
• /
• v.15 no.4
• /
• pp.726-736
• /
• 2007

The purpose of this study was to identify VMD structural elements of apparel stores, and related variables. The related variables are contained shopping orientation, store types, consumer satisfaction and the intention to purchase in apparel stores. The data was collected from a questionnaire conducted on 378 female adults and was analyzed by frequency analysis, factor analysis, cluster analysis, ANDVA, regression, Duncan test, and reliability analysis. The results were as follows: (1) VMD structural elements of apparel store consisted of four factors: coordination/fitness, fashionability, attractiveness, and functionality. Shopping orientation consisted of six factors: recreational, rational, fashion oriented, convenience oriented, price conscious, and brand conscious. Shopper types consisted of four groups: recreational type shopper, economic type shopper, high involved shopper, and convenience oriented shopper. (2) Significant differences were find out between those shopper types and VMD structural elements. Significant differences were find out between store types and VMD structural elements. (3) VMD structural elements(coordination/fitness, functionality, fashionability) were influenced consumer satisfaction and the intention to purchase.

• The Journal of Economics, Marketing and Management
• /
• v.12 no.4
• /
• pp.37-49
• /
• 2024

Purpose: This research is motivated by the rise of live-streaming commerce in service industries, aiming to explore factors affecting service product purchases in live-streaming commerce. Extracted independent factors include information provision, vicarious experience, social interaction, visibility, and emotional transmission. Additionally, this study aims to discern the moderating effect of brand reputation in the relationships between independent factors and customer intention to purchase service products in live-streaming commerce. Research design, data and methodology: This study employed a questionnaire survey to collect data and analyzed collected data with statistical analysis methods, including exploratory factor analysis and multiple regression analysis. Results: The analysis results say three factors significantly influenced purchase intentions in live-streaming commerce: information provision, emotional transmission, and price discount. Brand reputation also significantly affects customers' intention to buy service products in live-stream commerce.

• Journal of the Korea Society for Simulation
• /
• v.23 no.4
• /
• pp.1-8
• /
• 2014

Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

• Korean Journal of Human Ecology
• /
• v.11 no.4
• /
• pp.367-380
• /
• 2002

This study tries to search and analyze empirically the clothing merchandise purchase motivation and behavior made by foreign visitors who bought clothes as tour memorials in South Korea. To make a empirical study we made survey research and evaluated 30 items for the survey of clothing purchase motivation and 25 items for the survey of the importance and satisfaction revealed at the time of purchase with the standard of Likert 5 point. We had chosen 614 sample participants including 176 English speakers, 211 Japanese speakers, and 277 Chinese speakers among those foreign tourists who had purchased clothing materials at the Dongdaemun Shopping Mall. The result of analysis is as follows : As the result of factor analysis about the clothing merchandise purchase, we had 6 factors. They are (1)impulse, (2)utility, (3)fashionableness, (4)tour commemoration (5)psychology (6)economy. As the result of cluster analysis based on the standard of selected 6 factors of clothing merchandise purchase motivation, we could divide three groups such as (1)the pursuit type of clothing merchandise purchase, (2)the pursuit type of recreation of feeling (3)the pursuit type of tour memorial. As the result of analysis on the items of purchased clothing merchandise, the highest frequency of purchase was made by T-shirt, then by the order of sweater, blouse, and aloha shirt, pants, and jacket. In regard to the importance of items related to clothing merchandise, the highest importance was made by design, then by the order of price, size, color and utility, and style. In regard to the items related to the service of shopping mall, the highest satisfaction was made by the convenience of business hour. Meanwhile, the lowest satisfaction was made by the inconvenience of fitting room, the speaking and by ability of foreign languages by sales agents.