• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.2
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• pp.35-51
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• 2016

This paper proposes a new approximate approach to calculate the order fill rate and the probability of filling an entire customer order immediately from the shelf in a business environment under purchase dependence characterized by customer purchase patterns observed in such areas as marketing, manufacturing systems, and distribution systems. The new approximate approach divides customer orders into item orders and calculates fill rates of all order types to approximate the order fill rate. We develop a greed iterative search algorithm (GISA) based on the Gauss-Seidel method to avoid dimensionality and prevent the solution divergence for larger instances. Through the computational analysis that compares the GISA with the simulation, we demonstrate that the GISA is a dependable algorithm for deriving the stationary joint distribution of on-hand inventories in the type-K pure system. We also present some managerial insights.

• Korean journal of food and cookery science
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• v.31 no.2
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• pp.103-111
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• 2015

This study considered the intake patterns and realities of consumptions at bakeries in Korea. Based on a total of 442 customers obtained from empirical research, and self-administrated questionnaires were collected and analyzed by using frequency, chi-square, and one-way ANOVA. Satisfaction with the preferred bakery was shown to be in the order of taste, service, product, and price. A most considered factor in selecting the bakery was taste. The visiting frequency was shown to be the highest for 1~2 times a week. The expense per visit was shown to be won 5,100~10,000 on average. The purchase of refreshment was shown to be the most frequent propose of visiting. The product that was mainly being purchased was the sweet dough bread. It was answered to be difficult because of failing to know to contained materials when purchasing product at bakery. Limitations and future research directions are also discussed in this study.

• Knowledge Management Research
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• v.19 no.4
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• pp.59-76
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• 2018

With the arrival of the big data era, customer data and data mining analysis have gradually dominated the process of Customer Relationship Management (CRM). This phenomenon indicates that customer data along with the use of information techniques (IT) have become the basis for building a successful CRM strategy. However, some companies can not discover valuable information through a large amount of customer data, which leads to the failure of making appropriate business strategy. Without suitable strategies, the companies may lose the competitive advantage or probably go bankrupt. The purpose of this study is to propose CRM strategies by segmenting customers into VIPs and Non-VIPs and identifying purchase patterns using the the VIPs' transaction data and data mining techniques (K-means clustering and association rules) of online shopping mall in Korea. The results of this paper indicate that 227 customers were segmented into VIPs among 1866 customers. And according to 51,080 transactions data of VIPs, home product and women wear are frequently associated with food, which means that the purchase of home product or women wears mainly affect the purchase of food. Therefore, marketing managers of shopping mall should consider these shopping patterns when they build CRM strategy.

• Journal of the Korean Home Economics Association
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• v.30 no.1
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• pp.67-86
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• 1992

The author distributed the questionaires which ask the idea of the purchase of children's clothes in order to help the emotinal development of children and to raise demostic economy. 89% of those who answered realized the necessity of home sewing. Because of the lack of sewing ability(66%), the author made comparatively easy patterns such as blouses for summer, skirts, short pants and one-piece dresses. To populrize these patterns, the aother used the measurements of body-measurement which were made by Korea Institute of Standard. The author studied the patterns and choice of patterns according to growing body. The author tested the clothes worn and visual evaluation for fitness of the patterns. The results are as follows: First; The author developed basic pattern 1 and 2 and applied to design A, B and C. Second: For every design, the author made patterns fit to the children. Third: According to age, the author curtailed or enlarged patterns. Lastly: The author tried to reduce living expenses through making children's clothes using the sewing machine and supress over-consumption and lead the people toward normal economic life.

• Journal of Families and Better Life
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• v.17 no.4
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• pp.31-46
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• 1999

This study aims to investigate the difference of the financial state, the expenditure patterns of household, the expenses of Auto, and the influential variables on the purchase in automobiles according to the auto-installment. The important findings from the data based on the samples of household with only one car on the Korea Household Pannel Study by Daewoo Institute. 1) The financial state of installment households were not good than those of non-installment. 2) The expenditures of the purchase and maintenance of installment household were higher than those of non-installment. 3) Variables affecting to the expenses of the purchases of installment households were the evacuation of car, in the case of new car, household's net assets and the living level compared to last year. In those of non-installment households were the evacuation of car and in the case of new car.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.193-197
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• 2021

Customers are increasingly attracted towards different e-commerce websites and applications for the purchase of products significantly. This is the reason the sellers are moving to different internet based services to sell their products online. The growth of customers in this sector has resulted in the use of big data analytics to understand customers' behavior in predicting the demand of items. It uses a complex process of examining large amount of data to uncover hidden patterns in the information. It is established on the basis of finding correlation between various parameters that are recorded, understanding purchase patterns and applying statistical measures on collected data. This paper is a document of the bottom-up strategy used to manage the selling price of a first-time product for maximizing profit while selling it online. It summarizes how existing customers' expectations can be used to increase the sale of product and attract the attention of the new customer for buying the new product.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.179-189
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• 2007

Every purchase a customer makes builds patterns about how products are purchased together. The process of finding these patterns, called market basket analysis, is composed of two steps in the Microsoft Association Algorithm. The first step is to find frequent item-sets. The second step which requires much less time than the first step does is to generate association rules based on frequent item-sets. Even though the first step, finding frequent item-sets, is the core part of market basket analysis, when applied to Online Analytical Processing(OLAP) cubes it always raises several points such as longitudinal analysis becomes impossible and many unpractical transactions are built up. In this paper, a new OLAP cube structures designing method which makes longitudinal analysis be possible and also makes only real customers' purchase patterns be identified is proposed for market basket analysis.

• Korean Journal of Community Nutrition
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• v.2 no.5
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• pp.711-720
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• 1997

The purpose of this study was to investigate the purchase of special and cooking patterns of eggs. This survey was carried out through questionnaire and the subjects were 435 housewives whose children were middle or high school students in Kyunggi-do and Inchon. The results are summarized as follows : 1) As for age, 66.4% of subjects were 40 years or older. Also 57.1% of subjects received a high school education. As for occuption, full-time housewives accounted for 60.5%. Monthly family income of 39.1 % was 1-2 million won. As for monthly cost of food, 51.7% of subjects paid less than 500 thousand won. Also 40.2% of subjects lived in apartments. 2)Most housewives knew about the sale of special eggs. However, they perceived that the price of special eggs was expensive. 3) The higher their age, education level. household income and food cost, were, the more frequent their purchase of special eggs was. 4) The reason for their purchasing special eggs was in order of nutrition and freshness. 5) Most housewives didn't trust the brands of special eggs. 6) The most popular method of cooking eggs was fried-eggs. Therefore, it is necessary to provide cheap, fresh and nutritious special eggs. (Korean J Community Nutrition 2(5) : 711∼720, 1997)

• Fashion & Textile Research Journal
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• v.2 no.2
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• pp.138-145
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• 2000

The problem of fitting of children's clothing was researched through survey papers. The survey subjects were the mothers of elementary school students (grade 1 6) and the appropriateness of size, satisfaction with size, and fittings were asked. The survey area was divided into urban and rural areas. The following is the result: The children's clothing was mostly purchased in stores that carry lower-middle price range. The elements considered upon purchase were in the order of price, size, color and patterns. The frequency of purchase is 2 outfits a year, and the highest rate purchase was shown during the change of seasons. The size was picked through trying on the garment. The preferred indication of size was the one marked according to body size. The most popular size upon purchase was one size bigger than the proper fitting size. Mothers want their children to be able to wear one outfit for two years and actually children were able to wear them for two years. The highest degree of satisfaction upon proper fitting was bust girth and shoulder breath. The most frequent reason for a new purchase is the length. The most frequent dissatisfaction is the way buttons are sowed on.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.1
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• pp.43-54
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• 2015

This study examines how consumer value and conspicuous consumption tendency influence attitudes and purchase intention toward fashion cause-related marketing products. Survey questionnaires were distributed to 326 women in their 20's to 50's living in Seoul January 2012. The instruments included measurements of consumer value, conspicuous consumption tendency, attitude toward fashion cause-related marketing products, intention to purchase fashion cause-related marketing products, and demographics. Factor analysis, correlations, and multiple regressions were conducted using SPSS 12.0. The results of this research are as follows. Consumer value affected attitude toward fashion cause-related marketing products as well as intention to purchase products. Those with a higher conspicuous consumption tendency showed a higher intention to purchase fashion cause-related marketing products, regardless of attitude toward fashion CRM products. This indicates that and association with famous prestige brands will increase the possibility of success of cause-related marketing products. The research helps establish a marketing strategy to launch new fashion cause-related marketing products by discovering the relationships between consumer consumption patterns and attitudes toward fashion cause-related marketing products.