• IE interfaces
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• v.19 no.1
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• pp.86-96
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• 2006

Some customer data of manufacturing industries have a large number of incomplete data set due to the customer's infrequent purchasing behavior and the limitation of customer profile data gathered from sales representatives. So that, most sophisticated data analysis methods may not be applied directly. This paper proposes a heuristic data analysis method to classify customers in household appliances industries. The proposed PD (percent of difference) method can be used for the discriminant analysis of incomplete customer data with simple mathematical calculations. The method is composed of variable distribution estimation step, PD measure and cluster score evaluation steps, variable impact construction step, and segment assignment step. A real example is also presented.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.1
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• pp.36-43
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• 2013

Many retailer store managers are experiencing the situation where some customers balk at purchasing products if the stock is low. In this paper, we extend the single period newsvendor model in an environment of customer balking behavior occurring at double threshold inventory levels assuming the chance of sales during balking is a discrete function of inventory level. Our analysis is based on the assumption that only the mean and the variance of demand are known, without assuming any specific distributional form. We derive the explicit general expression of optimal order quantity with unknown distribution of demand with double threshold inventory levels of customer balking. Then, we illustrate the concepts developed here through simple numerical examples and conclude the future research topics under balking situation.

• Journal of the Korean Society of Costume
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• v.57 no.2 s.111
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• pp.29-44
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• 2007

The purpose of this study was to classify male consumer groups according to the fashion lifestyle, to examine characteristics, needs and wants of each group, and to find out differences of cosmetics purchasing behavior among each group segment. After surveying 19-50 year old males by making a visit to college, company and home, 584 samples were analyzed by using SPSS(7.0) package program. Factor analysis, cluster analysis, ANOVA, crosstabs and $X^2-test$ were used to analyse collected data. The results of this study were as follows; 1. Twenty-two questionnaires using AIO fashion lifestyle variables produced seven factors; oriented fashion, flaunting brand preference, active preference, information intention, strong personality, reasonable economy and others directivity. Three groups based on oriented seven factors: personality, fashion and economy. 2. The Personality group had strong personal characters in their fashion. Men in this group prefer casual style and were represented by singles and professionals in their 30's. The fashion group pursued fashion trends, formal wears, and high-priced fashions. They were represented by singles with high-income managerial positions in their 19-29 age group. The economy group represented the largest sample in this study(54.5%). Men in this group tended to purchase fashion goods during of good fabrics at discount stores. This group represented married man with average incomes in their 40's. 3. Each of these three groups showed significant differences in cosmetics purchasing behavior. The personality group mainly purchased cosmetics on-line market because of price. The Internet tended to be their primary source of informations. They spent under 10,000won and pursued a simple and clear image. The fashion group purchased cosmetics at department stores to benefit from the knowledge of sales personal and their source of informations in the mass media. They spent over 70,000won monthly and pursued also a simple and clear image. The economy group purchased cosmetics at discount stores because of their wide assortment of products. They spent under 30,000won monthly and pursued a simple and clear image. Each of these groups currently consume different products and have a different concept of future cosmetic products.

• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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• pp.120-131
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• 2005

Nowadays, food style would be changing as western and much like simple. because there was changing for customer both life style and recognition of what the food is, so that the customer would like to get something that has a high qualified and special. In the society changing continuary, the upgraded speed of atmospher and competition between bakery company is running quickly. in order to follow the customer who are different individually and pursuit lots of kind of things. In fact, it's not only making atmosphere that could give relaxation and rich life but also supporting commodity and many kinds of information to effect the sale's effectiveness, so the various alternative need to be checked out to treat the difference of atmosphere. importance of space composition plan considerating specific character is confirmed each commercial area of alternatives. In this study, we want to provide the most important standard of space composition of several visible or invisible environment factor making an bakery store. commercial rights are defferentiated between center commercial land and dwelling commercial land and we can strengthen the competitveness by bringing inspect, analysis, comparison about product make-up price each commercial land in space organixation of in-store actively in the 21 century's new bakery competition. In the 21st century, we should recognize we are in the new period about these a aggressive goal of maximization of sales and performed space construction through plan specialization to build reasonably and effectively. composition plan for store space as composition rate of product would be basic plan. so when the opening store is decided it need to be basic composition plan space which Is proper to situation of area.

• Smart Media Journal
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• v.4 no.4
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• pp.93-100
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• 2015

Markets of e-book and app book in Korea see novel as genre literature and webtoon account for 80 percents in sales so that market share is too based towards some specific fields. In readiblily and easy-to-buy convenience, different from paper books mostly sold off-line, app books are more advantageous but it works as a weak point to take long to publicly spread them before they are generally accepted. Meanwhile, the sales of the e-book market in Korea has been steeply risen. Further, the market is not only restricted to genre literature but also has come into the stage that various experimental challenges are issued in the field of publication contents. This study is aimed at developing the sightseeing app book as a future web-mobile platform with planning and develping the first app book dealing with localized contents based on Busan tour contents, making up for its defect that it offers only current simple information and then suggesting a strategy that the travelers' app book should be available for constant utilization connected to purchase by charged download.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1253-1262
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• 2014

Regression tree is a tree-structured solution in which a simple regression model is fitted to the data in each node made by recursive partitioning of predictor space. There have been many efforts to apply tree algorithms to various regression problems like logistic regression and quantile regression. Recently, algorithms have been expanded to the panel data analysis such as RE-EM algorithm by Sela and Simonoff (2012), and extension of GUIDE by Loh and Zheng (2013). The algorithms are briefly introduced and prediction accuracy of three methods are compared in this paper. In general, RE-EM shows good prediction accuracy with least MSE's in the simulation study. A RE-EM tree fitted to business survey index (BSI) panel data shows that sales BSI is the main factor which affects business entrepreneurs' economic sentiment. The economic sentiment BSI of non-manufacturing industries is higher than that of manufacturing ones among the relatively high sales group.

• Journal of the Society of Disaster Information
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• v.9 no.2
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• pp.123-127
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• 2013

Chemicals only likely illegally, depending on the user's intention can be used for malicious purposes. In addition, these chemicals are chemicals, and readily available for purchase on, through a simple mixing ratio to home made bomb manufacturing can be. In this study, to illegally division the list of chemicals and the chemical when handling the regulatory status and distribution system, identify and propose effective management plan prepared. Presented by foreign chemicals management, including a list of relevant laws and illegal sales activities on the Internet the eradication measures were collected, and chemical substance management system improvement and response system (proposition) for material to be used as maintenance is expected.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.235-259
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• 2014

New product or new technology developments are directly linked to a firm's survival and thus their performance and improvement are gaining attention in the midst of rapidly changing business environment and aggravating competition. However, despite SMEs' significance in the national economy, they are limited in terms of size and resources in possession, so the government provides a variety of supports as a policy. According to a study on the organizational life cycle, a firm's limits and difficulties differ by growth stage, so the supports need to be tailored. Based on the data from 2,575 firms that responded to the "2011 SMEs Technological Statistics," how technological capability level and deviation in the R&D process affect the R&D sales performance was studied. The result of analysis revealed that the technological capability has a positive impact on the R&D sales performance. It was also learned that the relationship between deviation in the technological capability and R&D sales performance was moderated by the government support. For the hypothesis that the government support would have a different moderating effect by growth stage for the impact the technology level has on the R&D sales performance, the empirical analysis showed a different meaningful moderating effect for each growth stage. The theoretical implications of the study are that, instead of a simple relation of dynamics that does not take the growth stages into account, it suggested a more realistic causal relationship model that reflects the complex environment the SMEs are in and that the need for measuring and using the deviation in technological capability as a research variable has been justified. The practical implications are that the government policy for supports can be tailored to a growth stage and that the guidelines have been suggested to effectively use the government funding by encouraging the SMEs in a different growth stage to adapt to the customized policy.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.291-299
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• 2021

In 2019, SUV sales surpassed sedans in the domestic sales market with phenomenal domestic sales. The strength of SUVs around the world is expected to continue in the future. South Korea's K-company aggressively launched small SUVs in the SUV market. Its simple lineup is recognized as a brand image, not as a SUV. It is time to evaluate this. Therefore, it influences the purchasing decisions of potential customers and buyers of small SUVs through the evaluation of design images of small SUVs in Korea. Rather than the functional properties of the SUV model, it is purchased by emotional characteristics, brand symbolism, and image. Subconsciousness of the purchasing psychology of the end consumer was used by metaphor extraction techniques. Customers wanted to study the evaluation of small SUV design images that fit their needs. We wanted to see if consumers who intend to purchase or purchase small SUVs in Korea had a connection with the image of design of small SUVs in Korea. The conclusion of the study was extracted through ZMET, a metaphor extraction technique, with the latent consciousness of the primary ambiguous message from the consumer's feeling and representation of the image. Therefore, based on the results of this study, we hope that the images presented in SUVs in the future will be used as a design guide in the development of small SUVs to influence customer thinking and behavior.

• KIEAE Journal
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• v.13 no.5
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• pp.79-88
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• 2013

This study creates the evaluation criteria to analyze the $CO_2$ emission quantity in the complex of apartment house among domestic buildings and proposes how to calculate the $CO_2$ emission quantity by the only simple information of apartment house. The study shows that in order to create the index of carbon emission evaluation criteria, $CO_2$ emission quantity for its input materials in these 27 apartment houses are 445,412g-$CO_2/m^2$ for apartment building, 474,322g-$CO_2/m^2$ for the basement parking lot, 483,523g-$CO_2/m^2$ for welfare facility, 729,957g-$CO_2/m^2$ for sales facility, 743,560g-$CO_2/m^2$ for other facility, 26,782g-$CO_2/m^2$ for public facility, 43,659g-$CO_2/m^2$ for landscape, 1,113g-$CO_2/m^2$ for indoor facility, 11,251g-$CO_2/m^2$ for outdoor facility and 891g-$CO_2/m^2$ for common temporary based on the average $CO_2$ emission by facility. We can also see the analysis data that in case of using the selected factors only, the rate of error is 7.51% comparing with the emission quantity by using simplified LCA method this study suggests for the whole range of apartment houses and the rate of error is average 3.24% using selective and main materials. And this it is evaluated that we can get the result which is similar to the actual $CO_2$ emission quantity with only the simple information about the apartment house.