• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.71-78
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• 2020

Recently, as the issue of gentrification emerges, it becomes important to understand the dynamics of local commercial district, which plays the important role for facilitating the local economy and building the community in a city. This paper attempts to provide the framework for systemically analyzing and understanding the local commercial district. Then, this paper empirically analyzes the patterns of sales and flow of floating population by focusing on two representative local commercial districts in Seoul. In addition, the floating population data from telecommunication bases is further modeled with Markov chain for systemically understanding the local commercial districts. Finally, the transition patterns and consumption amounts of floating population are comprehensively analyzed for providing the implications on the evolutions of local commercial districts in a city. We expect that findings of our study could contribute to the economic growth of local commercial district, which could lead to the continuous development of city economy.

• Journal of Korean Society for Quality Management
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• v.42 no.2
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• pp.221-234
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• 2014

Purpose: The Purpose of this study is to develop a model for predicting agent churn group in the cosmetics industry. We develope two models, pattern model and matrix model, which are compared regarding the prediction accuracy of churn agents. Finally, we try to conclude if there is statistically significant difference between two models by empirical study. Methods: We develop two models using the part of RFM(Recency, Frequency, Monetary) method which is one of customer segmentation method in traditional CRM study. In order to ensure which model can predict churn agents more precisely between two models, we used CRM data of cosmetics company A in China. Results: Pattern model and matrix model have been developed. we find out that there is statistically significant differences between two models regarding the prediction accuracy. Conclusion: Pattern model and matrix model predict churn agents. Although pattern model employed the trend of monetary mount for six months, matrix model that used the amount of sales per month and the duration of the employment is better than pattern model in prediction accuracy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.1-13
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• 2018

This study examines the relationship between the organizational general characteristics (industry, size, location, development stage, and company age) and success factors of Korean venture firms using secondary data. Among the industries with the highest sales figures in 2016 are food / fiber / (non) metals, and the smallest category was software development. The sectors with the highest net profit were computer / semiconductor / electronic components, and the smallest category was telecommunication equipment / broadcasting equipment. The industries with the largest sales growth rate are IT / broadcasting services and software development. The industries with the highest net profit margin of sales are energy / medical / precision, and the smallest is telecommunication equipment / broadcasting equipment. In terms of the number of employees, venture firms with more than 100 employees have the largest sales and net profit, with employees between 1 and 9 have the smallest. However, these results are predictable. In general, the number of employees is highly correlated with sales and net profit. Rather, the sales growth rate and the net profit margin of sales may be meaningful. In particular, with employees between 50 ~ 99, the growth rate of sales and the net profit margin of sales were high. In terms of location, Seoul / Incheon / Gyeonggi were the regions with the highest sales and Daejeon / Sejong / Chungcheong / Gangwon were the least regions. Gwangju / Jeolla / Jeju and Seoul / Incheon / Gyeonggi were almost similar in the areas with the largest net profit. However, Daejeon / Sejong / Chungcheong / Gangwon had the lowest net profit. Unusually, the areas with the highest sales growth rate and the highest net profit margin of sales were Gwangju / Jeolla / Jeju, and the smallest areas were Busan / Jeonnam / Ulsan In the relationship between the stage of development and the performance of the company, the sales of maturity and decline stages were the highest and establishing stage was the lowest. Net profit was also the highest in mature stage and the smallest in establishing stage. The sales growth rate shows a typical pattern in the order of establishing stage, early growth stage, high growth stage, maturity stage, and decline stage. In terms of business performance, sales and net profit are the highest with 21 years or more of company age, and the smallest is less than 3 years. In addition, the sales growth rate was the highest in three years or less, and the net profit margin of sales was the highest in 4 to 10 years. This study can present lots of useful implications by suggesting integrated research model and examining the success factors of Korean venture firms and presenting the application methods of secondary data in analyzing the current status of venture industry in Korea.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.15-29
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• 2014

Setting the ease amount takes the important part to the fit that consumers satisfies. Therefore, it is required to create a pattern for off-the-rack jackets that considers the proper amount of ease. However, few studies have been done previously regarding the ease amount of jacket pattern for the women in their 20s whose demand for jacket is high and who are sensitive to the fit. Therefore, this study selected top five brands in terms of sales and preference among the national female apparel brands. It obtained a tailored jacket pattern for basic size (55 size) and made the jacket. Then, an expert panel group put the pattern on Hani body, a torso dummy for education made by the anthropometric data of Size Korea for females in their 20s and conducted an evaluation on the ease amount and analyzed the results. As a result, the ease amount of the Pattern A was evaluated as proper and that of the Pattern B was found to be lease proper. From the fact, we can see that each of the top 5 off-the-rack brands has different ease amount, though they are of the same basic size (55 size).

• Korean Journal of Agricultural Science
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• v.26 no.2
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• pp.94-105
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• 1999

Chungnam-Do is the major agricultural province, supplies the large amount of rice and has the best situation in rice production. Rice production in Chungnam region is the major income source of farmers in the Chungnam province. In spite of the best quality, the rice quality which is produced in Chungnam province has been underestimated. For the improvement of this situation. Chungnam local government has developed the 'Cheong-Pung-Myeong-Wall' brand. The objective of the study is to give marketing information on 'Cheong-Pung-Myeong-Wall' rice for its sales promotion. The survey data on consumption patterns of consumers in the Taejon city who consume the 'Cheong-Pung-Myeong-Wall' rice were used in the analysis. The conclusions of this study may be summarized as follows : Generally the people who live in the Taejon city and consume the 'Cheong-Pung-Myeong-Wall' rice satisfy its quality, but the sales promotion of 'Cheong-Pung-Myeong-Wall' rice is needed For the sales promotion of 'Cheong-Pung-Myeong-Wall' rice, diversification of products, efficient usability of market agency, improvement of packing design, adequate advertisement, guarantee of 'Cheong-Pung-Myeong-Wall' rice taste and food safety, introduction of differentiated price by the producing region are required.

• The Journal of Information Systems
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• v.27 no.3
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• pp.123-140
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• 2018

Purpose The purpose of this study is to explore the optimal trading frequency which is useful for stock price prediction by using deep learning for charting image data. We also want to identify the appropriate time for accurate forecasting of stock price when performing pattern analysis. Design/methodology/approach In order to find the optimal trading frequency patterns and forecast timings, this study is performed as follows. First, stock price data is collected using OpenAPI provided by Daishin Securities, and candle chart images are created by data frequency and forecasting time. Second, the patterns are generated by the charting images and the learning is performed using the CNN. Finally, we find the optimal trading frequency patterns and forecasting timings. Findings According to the experiment results, this study confirmed that when the 10 minute frequency data is judged to be a decline pattern at previous 1 tick, the accuracy of predicting the market frequency pattern at which the market decreasing is 76%, which is determined by the optimal frequency pattern. In addition, we confirmed that forecasting of the sales frequency pattern at previous 1 tick shows higher accuracy than previous 2 tick and 3 tick.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.1
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• pp.1-10
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• 2022

This study is a marketing tool for securing loyal customers and increasing sales by developing a customizing manual according to the change of segmented nail art consumption pattern due to the development of the nail industry and performing art to meet the needs of various customers and increase satisfaction. This was done to demonstrate the possibility of use. In order to develop a manual for the study, we conducted a survey that combined an online survey and in-person survey for ordinary citizens in their 20s and 50s living in Busan and Gyeongnam. Taste (50.0%) was the highest, and personal preference (62.9%) was also the highest for items related to nail art color selection, suggesting that the consumption pattern is changing to require a variety of personal art preferences rather than recommendations or recommendations from practitioners. Could know. As a result of performing nail art by applying the customizing manual developed based on customer selection, opinions were shown in the order of reliability (39.1%), attachment (39.1%), and rarity (26.1%). Utilization (73.9%) was also high in the question of 'If customizing manual was developed as an app', and overall satisfaction with the art selected by the customer was high, indicating that the customer had a high degree of attachment to the nail art design decided by the customer. As for the improvement points of the manual, it was possible to confirm the necessity of developing the app with the majority opinion that handwriting was inconvenient. Based on the nail art customizing manual of this study, the follow-up research proceeds with the app production and utilization process, and it is hoped that it will be used as a basic data for sales promotion by increasing customer satisfaction according to the rapidly changing consumption patterns of nail customers.

• Journal of Fashion Business
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• v.14 no.6
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• pp.170-187
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• 2010

This paper is to analyze the effect of demographic factors on children' wear buying pattern, media and information utilization, and design preference. A total of 355 usable data was collected from house wives in three metropolitan cities(Seoul, Daejon, Bundang) in Korea. Correlation analysis showed that there were statistically significant correlation between demographic factors and clothing buying behavior, information utilization, and design preference. Also, Regression results showed that 8 Demographic Factors are significant predictors. The results with ANOVA showed that there were significant relationships between PURCHASE OCCASION and DISPLAY INFORMATION UTILIZATION, and showed that there were significant relationships (F=28.625, p=<.001) between PURCHASE MOTIVATION and SALES PERSON ADVICES UTILIZATION. Thus, both visuality and friendliness of service were affected by consumers. Considering the increasing importance of service quality in the retail VMD, sale promotion should be enhanced and sale person is needed to be trained to be friendly to all consumers regardless of product composition

• Proceedings of the KIEE Conference
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• summer
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• pp.660-662
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• 2004

Cooling demand in Korea has increased constantly. Furthermore, an evaluation and savings of cooling demand has impacted on summer DSM and investment in Korea. Absorbed cooling system uses gas. It could achieve reductions in summer peak load and increase gas demand simultaneously. However its efficiency rate is lower than electric system. Gas cooling system uses separate meter. Therefore we could analyze monthly cooling demand and derive annual uses pattern. This paper analyzes demand pattern of gas cooling and its effects on electricity savings. Also this paper presents the course of policy in electricity sector on spreading of gas cooling measures.

• Korean Institute of Interior Design Journal
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• v.24 no.2
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• pp.171-179
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• 2015

The aim of this study is to figure out the preference features on design components of shop facade on the basis of the questionnaire survey on short-term memory and sensory memory of human right after an image experiment. As for a preceding research, this study examined the design features of facade into tangible elements and intangible elements, and also classified them into physical, aesthetical, marketing and symbolic components in detail. And, it extracted 5 representative elements in preceding studies including shape, material, pattern, color and sign, which is the standard of a questionnaire survey and preference analysis. The subjects of the experiment were 30 men and women who were over 20 years old majoring interior design. They were exposed to 20 images with 10 seconds respectively through a video, and were asked to respond the questionnaire promptly. The findings of preference analysis of design components of facade including shape, material, pattern, color and sign are as follows. Firstly, shape was the most interesting and attracting component, and designs applied with shape of objects such as 'web', 'drawer', 'wheel' and 'button' obtained high preference. Secondly, as for material, block, steel, exposed concrete board attracted higher preference as memorable materials than other materials. Material was affected by shape, pattern and color. Thirdly, pattern was the most lasting element. Designed pattern had higher preference than simple pattern. Fourthly, as for color, red and green with strong stimulation and attention attained priority having long lasting memory. Fifthly, when visiting a shop, sign out of 5 elements of shape, material, pattern, color and sign drew attention the most. As for the preference of location of sign, 'center top' was the most noticeable. The findings of this study could be utilized for facade design, and also could be used for commercialization considering highly preferred components, and top preference aspects of such elements. advised that to give an impression to customers is important to make a successful design for sales marketing, which, in turn, would lead customers to revisit the shop.