• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.1
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• pp.153-181
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• 2013

Weather is an influential factor to sales of companies. There have been growing attempts with which companies apply weather to developing their strategic marketing plans. By executing weather marketing activities, companies minimize risks (or negative impacts) of weather to their business and increase sales revenues. In spite of managerial importance of weather management, there are scarce empirical studies that comprehensively investigate its impact and present an efficient method that optimally allocates marketing budget. Our research was conducted in two parts. In the first part, we investigated influences of weather on sales based on real-world daily sales data. We specifically focused on the contextual factors that were less focused in the weather related research. In the second part, we propose an optimization model that can be utilized to efficiently allocate weather marketing budget across various regions (or branches) and show how it can be applied to real industry cases. The results of our study are as follow. Study 1 investigated the impact of weather on sales using store sales data of a family restaurant company and an outdoor fashion company. Results represented that the impacts of weather are context-dependent. The impact of weather on store sales varies across their regional and location characteristics when it rains. Based on the results derived from Study 1, Study 2 proposes a method on how optimally companies allocate their weather marketing budgets across each region.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.1
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• pp.41-52
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• 2014

The purposes of this study were to explore differences in utilization of information sources depending on the length of buyers' career and annual sales volume of stores where buyers work for. The questionnaire was prepared by the researcher and was answered by 200 buyers who purchase their items from Dondaemun market. The researcher analyzed the data using both ANOVA and Tukey's test as a post-hoc test. The conclusion of this study is summarized below. First, there were significant differences in utilization of information sources among buyer groups depending on the length of buyers' career. The buyers with more than 10 years career showed more effective utilization of information source such as resident buying offices, manufacturers, trade publications, trade associations, fashion reports, celebrities, window shopping, professional magazines, and advice from others. Second, there were significant differences in utilization of information sources among buyer groups depending on annual sales volume of the stores where the buyers work for. The buyer who work for the store with its annual sales volume in excess of 2 billion won showed more effective utilization of information source such as trade association, professional magazines, sales record, want slips, advertising results, sales trends, customer surveys, sales meetings, customer advisory panel, in-store merchandising bureau and advice from other experienced buyers. However, buyers of the store with its annual sales volume lower than 100 million won showed different pattern utilization of information sources such as vendors, trade publication, celebrities and advice from others.

• Journal of Distribution Science
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• v.15 no.6
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• Journal of Fashion Business
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• v.16 no.4
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• pp.152-165
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• 2012

The purpose of this study was examining the preference difference of the necktie design for the stripe patterns according to the demographic characteristics. The study method was a research study through a survey. The study subject was the adult men in their from 20's to 50's. The study stimulative was the stripe patterns of man's necktie which were made by Adobe Photoshop 9 with using the color, the arrangement, the interval, and the width of necktie. The results of study are as follows. As the difference analysis result for the color preference for stripe pattern according to the demographic characteristic, men in their 20's preferred most gray series, men whose monthly income is less than two millions won and men of owner-operator preferred most red series, and all the rest of men preferred blue series. As the difference analysis result for the preference of arrangement type, men in their 20's preferred most the stripe pattern of width, students preferred most the stripe pattern of length, all the rest of men preferred most the stripe pattern of diagonal. As the difference analysis result for the preference of stripe interval for necktie, unmarried men, students, men in their 20's, and men engaging in sales/service and production work preferred most the interval of 0.6cm, all the rest of men preferred most the interval of 1.2cm. As the difference analysis result for the preference of necktie width, unmarried men, men in their 20's, men engaging in sales/service and production work, and students preferred most the width of 7cm, all the rest of men preferred most the interval of 8cm.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.7-13
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• 2019

As online shopping is activated by the development of the Internet, consumers' purchase form is changing from the traditional face-to-face purchase method to online purchase method. Many sellers have flowed into shopping malls, and competition among sellers is very intense. Therefore, sellers in shopping malls need to establish rational marketing strategies by analyzing consumer purchase patterns and product sales trends. In this paper, we analyzed the purchase price of consumers by analyzing the product price, rating, and sales quantity of competitors who sell the same product in open shopping malls by time zone. In addition, the collected information was visualized in a chart so that the company's and competitors' sales trends could be easily compared. Using the above system, it is possible to predict the sales volume through the analyzed purchasing pattern and to select the reasonable price of the product by grasping the sales trend.

• Herbal Formula Science
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• v.23 no.1
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• pp.15-24
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• 2015

Objectives l: This study is to investigate the emergence of herbal medicine during Japanese colonial period by reviewing newspaper advertisements and brochures about patient medicine of Chosun Maiyak Corporation. Methods : 69 kinds of patent medications and 584 newspaper advertisements are throughly reviewed to investigate dosage form, drug effect, sales unit and method, price, and advertisement pattern. Results : Lyungsinwhan represented more than half of the total advertisements, followed by Yungmihwan, Sahyangsohabwon, Yeollyeonggobondan, and Chiljehyangbuhwan. Lyungsinwhan was advertised mostly in spring and summer whereas Yungmihwan and Yeollyeonggobondan were advertised in spring and fall. Dosage form included pill(丸), mixture(膏), powder(散), and liquid(水, 液), while pill and mixture prevailed over other forms. Drug effect included dermatological, pediatric, digestive, and gynecological effects in the increasing order of drug numbers. Sales unit and price were found to vary significantly. Sales method included nationwide network distribution of medicine through postcards and stores. Conclusion : Herbal medicine during the colonial period was distributed in various kinds of forms with different effects and advertisement patterns through diverse sales unit and price.

• 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.

• The Journal of Information Systems
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• v.31 no.3
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• pp.197-220
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• 2022

Purpose The purpose of this study is to identifies the demand pattern categorization of repair parts of Automotive After-sales Service(A/S) and proposes a demand prediction model for Auto repair parts using Long Short-Term Memory (LSTM) of artificial neural networks (ANN). The optimal parts inventory quantity prediction model is implemented by applying daily, weekly, and monthly the parts demand data to the LSTM model for the Lumpy demand which is irregularly in a specific period among repair parts of the Automotive A/S service. Design/methodology/approach This study classified the four demand pattern categorization with 2 years demand time-series data of repair parts according to the Average demand interval(ADI) and coefficient of variation (CV²) of demand size. Of the 16,295 parts in the A/S service shop studied, 96.5% had a Lumpy demand pattern that large quantities occurred at a specific period. lumpy demand pattern's repair parts in the last three years is predicted by applying them to the LSTM for daily, weekly, and monthly time-series data. as the model prediction performance evaluation index, MAPE, RMSE, and RMSLE that can measure the error between the predicted value and the actual value were used. Findings As a result of this study, Daily time-series data were excellently predicted as indicators with the lowest MAPE, RMSE, and RMSLE values, followed by Weekly and Monthly time-series data. This is due to the decrease in training data for Weekly and Monthly. even if the demand period is extended to get the training data, the prediction performance is still low due to the discontinuation of current vehicle models and the use of alternative parts that they are contributed to no more demand. Therefore, sufficient training data is important, but the selection of the prediction demand period is also a critical factor.

• Journal of the Korean Geographical Society
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• v.39 no.3
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• pp.360-373
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• 2004

The purpose of this study is establishing how to build the area of local agents and regional offices in the oil company using GIS technique by reviewing on the spatial distribution pattern and characteristics of the sales area of oil products. Location-allocation and spatial interaction model are cooperated in order to establish sales area of petroleum products distribution system. Location-allocation model is used in the capital region where local agents are concentrated on like Kyoung-gi local agent. Spatial interaction model is used in the rest of the area in Korea to analyze the sales range of the regional offices in oil company. Each office made a big difference in registered cars and population because of the level of petroleum consumption in each sales area.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.117-141
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• 2006

Daily sales volume in retailers seems to be changed because of five-days-work in a week resulting in growth of leisure time in Korea recently. The day of the week effect of sales volume that can not be theoretically explained, which sales pattern varies depending on days systematically and consistently, is so important. Especially the day of the week effect of sales volume exists in which retail branch and the extents of the day of the week effect from the perspective of marketing in retailing is very important. Thus, the purpose of this study was to investigate whether the day of the week effect of sales volume exists in men's clothing retailers and if so, there is difference in daily sales volume. There was insufficient researches in the field of anomaly such as the day of the week effect of sales volume in marketing. For this reason, this study has drawn upon research findings of finance, general demand theory, and previous studies of the day of the week effect in stock markets. In doing so, these works are referenced in theoretical background and applicability in retailing market of this study. This study empirically investigated the day of the week effect of sales volume through the revenues of a men's clothing retailers (P company) in past five years. As the result of this study, the day of the week effect of sales volume existed in men's clothing retailers and the day of the week effect showed positive from Monday to Sunday, which means Sunday, the biggest. Also, the day of the week effect by season was different. The result of this study is expected to provide some helpful evidence that offers effective operational strategies to retailers.