• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.86-94
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• 2019

The purpose of this study was to analyzes the problems in terms of transmission the information of architecture in the current apartment housing sales phase, to suggest the way of application the technology of BIM-based virtual reality. For this purpose, each element technology is analyzed through analyzing the exiting studies and international technical trend of BIM-based virtual reality and motion recognition devices. And then this study analyze the present condition of apartment housing sales phase and it conduct the expert interviews for derive the problem and analyzing the importance and priority by AHP method. And finally, this study suggest the solution in terms of information delivery in apartment housing sales phase through plan for support and deriving the function about problems. The system of BIM-based virtual reality viewer that utilize a leap motion that was presented in this study, it is believed to be able to efficiently transfer the information of architecture as building information transmission system user-centric in the future of apartment housing sales phase.

• Journal of the Korean Data and Information Science Society
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• v.18 no.4
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• pp.995-1004
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• 2007

In this paper, we analyse online word-of-mouth and Korean box-office sales data based on kernel regression method. To do this, we consider the regression model with mixed-data and apply the least square cross-validation method proposed by Li and Racine (2004) to the model. We found the box-office sales can be explained by volume of online word-of-mouth and the characteristics of the movies.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.11
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• pp.1369-1380
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• 2005

This study suggests a strategy of providing apparel product information from the wearers' perspective on Internet shopping malls, as a way of compensating for the lack of opportunities to try on the actual product. On an actual Internet shopping mall that sells apparel product, the 'trial-experience information' (the experiential information provided by the fit models who tried on the products) was provided for 83 different items from four women's wear brands. The traffic and sales performances (number of visitors, page view, gross sales of goods, conversion rate, and the numbers of customer transactions) of the apparel product websites that contain trial-experience information were compared to the performances of the brand's websites before this information was implemented. The changes in percent contribution of these brands in women's wear category were also noted. The specific results are as follows: First, all the four performance measures as well as the percent contribution of the experiment products in women's wear category increased noticeably throughout the experiment period (11 to $103\%$). Second, when the percent contribution of these brands in women's wear category in terms of traffic and sales performances were compared to the previous year, these measures increased between $497\%\;and\;2851\%$. Third, the amount of customer transactions also increased after the trial-information was provided, yet to a relatively smaller extent $(29.04\%\;to\;55.25\%)$. The findings showed that trial-experience information provided on the Internet shopping malls may reduce customers' risk perception and lead to increased sales of apparel product and improve the site use ratio.

• Journal of the Korean Society of Food Culture
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• v.29 no.4
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• pp.326-335
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• 2014

The purpose of this study was to investigate factors influencing sales of health functional foods by door-to-door saleswomen. A total of 450 women who worked as door-to-door salespersons in Seoul were enrolled. The survey questionnaire was composed of five parts as follows: general characteristics, factors related with door-to-door sales process, task education, competency required for door-to-door salespersons, and customer relationship beliefs. The survey was conducted in October 2011. Finally, data on 302 subjects were statistically analyzed using the SPSS 17.0 package program. Reason for sales of health functional foods (p<0.01), time required for sales promotion (p<0.001), difficulties during sales of health functional foods (p<0.05), satisfaction of task education (p<0.01), and failure of salesperson's memory as problems of task education (p<0.01) were significantly associated with sales of health functional foods. However, means of sales promotion, frequency and time of task education, and competency required for door-to-door salespersons were not significantly related with sales of health functional foods. Customer relationship beliefs did not show significant association with sales of health functional foods either. In conclusion, certain factors were associated with sales of health functional foods by door-to-door saleswomen. These results provide an understanding for sales of door-to-door health functional foods and provide basic information for preparation of task education for health functional food saleswomen and marketing.

• Asian Journal of Business Environment
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• v.7 no.4
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• pp.35-41
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• 2017

Purpose - This paper aims to examine several time series models to predict sales of department stores and discount store markets in South Korea, while other previous trial has performed sales of convenience stores and supermarkets. In addition, optimal predicted values on the underlying model can be got and be applied to distribution industry. Research design, data, and methodology - Two retailing types, under investigation, are homogeneous and comparable in size based on 86 realizations sampled from January 2010 to February in 2017. To accomplish the purpose of this research, both ARIMA model and exponential smoothing methods are, simultaneously, utilized. Furthermore, model-fit measures may be exploited as important tools of the optimal model-building. Results - By applying Holt-Winters' additive seasonality method to sales of two large-scale retailing types, persisting increasing trend and fluctuation around the constant level with seasonal pattern, respectively, will be predicted from May in 2017 to February in 2018. Conclusions - Considering 2017-2018 forecasts for sales of two large-scale retailing types, it is important to predict future sales magnitude and to produce the useful information for reforming financial conditions and related policies, so that the impacts of any marketing or management scheme can be compared against the do-nothing scenario.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.207-208
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• 2019

Currently, as the public interest for environmental issues has grown rapidly, the needs for G-SEED have also increased. However, as investment according to eco-friendly elements is inevitable to receive G-SEED certification, it is necessary to find out whether or not the sales price of apartments have increased compared to investment costs. Therefore, the objective of this study is to analyze the sales price of apartments according to G-SEED by using T-test. To achieve the objective, First, variables affecting on the sales price of apartments are selected. Second, the data are collected by using GIS(Geographic Information System). Third, after testing the normality, a comparison analysis is conducted on the sales price between G-SEED certified and non-certified apartments by using T-test. As a result, it is concluded that G-SEED certified apartments are more expensive than non-certified apartments. In the future, these findings can be utilized to develop of apartments price calculation model based on the G-SEED.

• Management & Information Systems Review
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• v.23
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• pp.1-23
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• 2007

Small and Medium Business Associate has supporting small and medium business and private business for establishment business and sales increasing with various policy since 2005. Arousing the interesting on customer relationship management, small and medium business and private business have recognized the necessity of the concept and introduction the CRM. This study suggested the effectiveness of the CRM throughout real cases of the CRM for small and medium business managers in order to rising sales in such an environment. The case of this study tried to figure it out to accomplish manager's ends of small and medium business to get successful business results based on innovative volition and mind trying to change. The owner who has experience 12 years in meat sales was analyzed the results of aptitude test that the business is highly appropriate to him in personality and aptitude. As also saw the strength and opportunity of SWOT analysis, he has an excellent talent for friendship, knowledge of searching Internet and organizing information, and learning ability. This study provided a marketing policy, ideas of customer services and system remodeling to improve relationship with customer, and a division diagnosis of business activities. The owner has an excellent friendship, so that this study suggest to remodel interior inside store clearly and sanitary displaying on products, to introduce aggressive and concentrated marketing strategies, and to recognize the important of public relation.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.20-26
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• 2019

With the development of ICT technology and the promotion of smartphone penetration, purchasing services that purchase various products through online market are being activated. In particular, due to advances in storage and delivery technology, sales of short food materials can be purchased online. Therefore, in this paper, we propose an integrated solution that enables advertisement effect, ordering and delivery through a purchase service even if there is no sales knowledge and sales network in a small shopping mall where only offline sales can be performed. The proposed system is able to efficiently view the product information by category through image search for the product that the user desires, so that the seller of the registered product can efficiently sell without any additional advertisement.

• The Research Journal of the Costume Culture
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• v.13 no.5 s.58
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• pp.844-855
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• 2005

The purpose of this paper is to examine which fashion brands are most likely to be investigated by Korean textile firms when they conduct their market trend analyses. The result shows that for the domestic sales, textile firms are most likely to collect and analyze information on the Cheil Textil Co. It is followed by Bean Pole, Chanel, Buberry, Tomboy. For the future domestic sales, textile firms prefers referring foreign fashion brands such as Burberry, ZARA, MaxMara, Missoni, and Chanel. Textile firms majoring exports prefers collecting and analyzing information on D&G followed by Chanel, Gucci, and DKNY. This preference, however, differs when considering exporting areas. Textile firms targeting the French market considers Gucci, followed by Ferragamo, Dior, Louisvuitton. Textile firms targeting the Italian market prefer Chanel, followed by Valentine, ZARA, Gucci, and Armani. Chanel is also top brand for the North American and Japanese markets, and followed by GAP, ZARA, OZOC, Missoni, Munshing Wear. The information content collected and analyzed by textile firms is style, pattern, color, and textile materials for textile firms targeting the domestic sales, while the exporting firms prefer information on color and textile materials proposed and presented by the fashion brands to which they prefer to make reference. The result of this study can be used to effectively and efficiently collect and analyze market information on fashion brands for textile firms majoring the domestic and foreign sales.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.176-182
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• 2023

With about 80% of the global economy expected to shift to the global market by 2030, exports of reverse direct purchase products, in which foreign consumers purchase products from online shopping malls in Korea, are growing 55% annually. As of 2021, sales of reverse direct purchases in South Korea increased 50.6% from the previous year, surpassing 40 million. In order for domestic SMEs(Small and medium sized enterprises) to enter overseas markets, it is important to come up with export strategies based on various market analysis information, but for domestic small and medium-sized sellers, entry barriers are high, such as lack of information on overseas markets and difficulty in selecting local preferred products and determining competitive sales prices. This study develops an AI-based product recommendation and sales price estimation model to collect and analyze global shopping malls and product trends to provide marketing information that presents promising and appropriate product sales prices to small and medium-sized sellers who have difficulty collecting global market information. The product recommendation model is based on the LTR (Learning To Rank) methodology. As a result of comparing performance with nDCG, the Pair-wise-based XGBoost-LambdaMART Model was measured to be excellent. The sales price estimation model uses a regression algorithm. According to the R-Squared value, the Light Gradient Boosting Machine performs best in this model.