• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.253-260
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• 2001

Understanding and adapting to changes of customer behavior is an important aspect for a company to survive in continuously changing environment. The aim of this paper is to develop a methodology which detects changes of customer behavior automatically from customer profiles and sales data at different time snapshots. For this purpose, we first define three types of changes as emerging pattern, unexpected change and the added / perished rule. Then we develop similarity and difference measures for rule matching to detect all types of change. Finally, the degree of change is evaluated to detect significantly changed rules. Our proposed methodology can evaluate degree of changes as well as detect all kinds of change automatically from different time snapshot data. A case study for evaluation and practical business implications for this methodology are also provided.

• Journal of the Korean Society of Food Culture
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• v.28 no.5
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• pp.480-487
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• 2013

This study is conducted to investigate to the consumption pattern of Kimchi and perception about the functional Kimchi of consumer. The survey was done between October 1 to October 15, 2011 among 294 male and female adults aged 19 and over in Seoul and Gyeonggi-do areas. The gender distribution of subjects was 33.3% males and 66.7% females. 64.3% of subjects prepared Kimchi by themselves, 23.5% of subjects received Kimchi from relatives and 12.2% of subjects purchased Kimchi from the market. In addition, the rate of preparing Kimchi at home is highest in those aged fifty or over. Only 41.8% of subjects knew how to make Kimchi. 72.1% of subjects responded that they ate Kimchi one or more a day. 46.6% of subjects have purchased commercial Chinese cabbage Kimchi. The amount of one-time purchase of commercial Kimchi were investigated; 45.2% of subjects have been buying 500-1 kg, 34.4% of the subjects bought less than 500 g, and 11.2% of subjects bought 1-3 kg. 28.2% of subjects buy Kimchi at the supermarket and warehouse market. With regard to the evaluation of Kimchi taste, most consumers were not satisfied with the sweetness of Kimchi. In this result, the perception about functional Kimchi was very low. Consumer's demands were as follows: nutrient enhancement, strengthening of biologically active substances, lactic acid bacteria enhancement in order. Small sales units were preferred by the consumers, and complementation of sweetness of kimchi was required. Various Kimchi including functional Kimchi must be developed to meet the needs of consumers.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.199-214
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• 2024

Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.

• Fashion & Textile Research Journal
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• v.20 no.5
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• pp.556-568
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• 2018

In this study, we surveyed the current status and sizing system of the custom dress shirts sold through online shopping, compared with the sizing system of the ready-made dress shirts. We tried to collect the information needed to make the well fitted dress shirts for middle-aged men from this study. The 17 online custom dress shirt brands were selected and the sales type, sales price, design options and size options of each brand were analyzed. The sizing systems of online custom dress shirt brands were compared with the sizing system of the 10 ready made dress shirt brands. The result showed that online custom dress shirts brands offered a variety of design options and size options to meet the consumers' individuality, taste and demand for good fit. In the ready-made brands, all 10 brands were using the same size notation system. In the same size designation, the difference in product size among the ready-made brands showed a tendency to be smaller than the online custom brands. The online custom brands had the different size notation system among brands. The size notation, the number of size designation and the size interval were different for each brand. Also, in the online custom brands, the product size among brands differed from each other in the same size designation. Therefore, the standardized size information and sizing system for middle-aged men that could be used as criteria when making the product size and pattern design in online custom brands were needed.

• The Korean Journal of Community Living Science
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• v.15 no.4
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• pp.127-136
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• 2004

Local fairs are often part of the economic development strategy of rural areas. This study aims to find out marketing strategies for promoting the sales of regional specialty products through local festivals in rural Korea. The data were collected in late 2003 (from a sample of interviews and surveys from 351 visitors. The data were analyzed using the SPSS computer program. The results were as follows; First, the factors that visitors were considered in purchasing were quality (49.5％), commemorative value (36.9％), and reliability (33.0％). And the top reasons cited for not buying were lack of distinction (45.1％) and high prices (26.6％). The discount rates expected in markets was 16.8％. Second, 49.8％ of visitors has spent over 10,000 won and their purchase pattern has been for themselves and their family. Third, the public organizations for certi(ication for visitors were the National Agricultural Cooperative Fedration (37.9％) and the Ministry of Agriculture and Forestry (MAF) (22.5％). In conclusion, it was important for local stakeholders to provide more locally-manufactured, seasonal and traditional food, and to plan more locally characteristic events for their fairs. Further recommendations have included having a guide showing pricing and quality standards for products bought at rural fairs, developing product ideas for inducing impulse purchases, active promotion and marketing at event sites, and setting a standard system of warranties on products under the certification of the local authorities and with the financial support of the MAF Such recommendations were aimed at increasing the sale of traditional and regional specialty products at local festivals.

• Archives of design research
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• v.18 no.1 s.59
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• pp.253-262
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• 2005

In suddenly changing multimedia periods, department store not only plays the role of local culture centre but also meets keen competition in working out marketing strategies, especially in the field of differentiating Promotion Surroundings Image, in order to cope with the varied consumers' pattern according to customers' pursuing new lifestyle. In particular, cosmetic stores located in the first floor of the department store have high sales rate in spite of its comparative small area, because cosmetic stores have been much essential to women's daily life who are very strong for desiring the Beauty and also in them men's buying trends have been upwards speedily. The color and P.P.(Point of Sale Presentation) of the cosmetic store design are preferred after the quality and the price of the goods, staff's services by this survey of female clients' attitude to buy cosmetics at department store in Seoul. So that cosmetic companies seem to be needed to offer the differentiated color code in each brand and display the goods' P.P.(Point of Sale Presentation) intensively to promote the sales effectively. This thesis aims at suggesting the way how cosmetic firms get and enhance their goods' competitiveness when they develop their visual merchandising strategy by considering each brand's attribute and customers' life style by age, preference factors for buying the goods through showing high qualified sonics in their differentiated displayed stores.

• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.332-364
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• 2010

External linkages affect the performance of small and medium enterprises in diverse ways. This study delves into the impact of inter-organizational collaboration by looking at different facets of performance, such as innovation, sales growth, profit growth, and firm survival. In addition, it explores the influence of informal knowledge spillover from collaborative partners as well as from formal collaborations. The impact is carefully investigated by dividing firm samples into three different sectoral innovation categories: supplier-dominant, production-intensive, and science-based sector suggested by Pavitt (1984). The result highlights the different influence pattern of collaborative relations by partner types according to sectoral categories. The positive results of collaborating with universities and public institutions are identified, and the sales growth by customer linkage is witnessed. The impact is apparent in science-based sectors. The result implies that the risk associated with collaborating with competitors may be moderated by linking performance enhancing collaborative linkages with universities and government institutes.

• Journal of Fashion Business
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• v.13 no.4
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• pp.85-98
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• 2009

Advance development of the internet has brought significant changes to the distribution structure of the fashion industry, resulting in decreased sales in Road shops and sudden growth of online fashion specialty shopping malls. As detailed analysis on internet fashion shopping malls is necessary in order to make a future projection on changes in the fashion industry, this thesis aims to study the color, fabric / pattern, silhouette, item / detail, image, etc of 2008 S/S apparel fashion style sold in the top ten shopping malls, selected in terms of sales volume and awareness. The results were further analyzed to characterize each individual shopping malls, upon which the design was compared with the five main trends for the season provided by three fashion research agencies in order to study the level of trend acceptance. Studies showed that 'Romantic Sake' trend was most widely accepted, followed by 'Eco Nature' which most reflected the characteristics of Spring. 'Modern Ethenic' trend was most aggressively accepted at more upscale shopping malls targeting older demographic, while " Play Urban' was highly accepted by shopping malls specializing in young casual. Due to the disadvantage of not being able to try on the items before purchase, styles following the 'City Luxe' trend featuring fitted suits showed the lowest trend acceptance. Amongst the design elements, color was most widely accepted.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.49-57
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• 2021

With the advent of the era of the fourth industry, more and more scientific techniques are being used to solve decision-making problems. In particular, big data analysis technology is developing as it becomes easier to collect numerical data. Therefore, in this study, in order to overcome the limitations of qualitatively analyzing investment trends, the association of various products was analyzed using associated analysis techniques. For the experiment, two experimental periods were divided based on the COVID-19 economic crisis, and sales information from individuals, institutions, and foreign investors was collected, and related analysis algorithms were implemented through r software. As a result of the experiment, institutions and foreigners recently invested in the KOSPI and KOSDAQ markets and bought futures and products such as ETF. Individuals purchased ETN and ETF products together, which is presumed to be the result of the recent great interest in sector investment. In addition, after COVID-19, all investors tended to be passive in investing in high-risk products of futures and options. This paper is thought to be a useful reference for product sales and product design in the financial field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1123-1146
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• 2023

In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.