• 한국경영과학회지
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• 제38권1호
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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.

• 한국의상디자인학회지
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• 제16권1호
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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.

• 유통과학연구
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• 제15권6호
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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.

• 패션비즈니스
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• 제16권4호
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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.

• 사물인터넷융복합논문지
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• 제5권2호
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• pp.7-13
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• 2019

인터넷의 발전으로 온라인 쇼핑이 활성화 되면서 소비자들의 구매 형태가 기존의 대면 구매방식에서 온라인 구매방식으로 변하고 있다. 이에 수많은 판매자가 쇼핑몰로 유입되었고, 판매자들 간의 경쟁이 매우 치열한 실정이다. 따라서 쇼핑몰 내 판매자들은 소비자의 구매 패턴 및 제품 판매동향을 분석하여 합리적인 마케팅 전략을 세울 필요가 있다. 본 논문에서는 오픈 쇼핑몰에서 판매업자가 동일 제품을 판매하는 경쟁사의 제품 가격, 평점, 판매수량을 시간대별로 분석하여 소비자의 구매 패턴을 파악했다. 또한 수집된 정보들을 차트로 가시화하여 자사와 경쟁사의 판매동향을 쉽게 비교할 수 있도록 하였다. 위 시스템을 사용하면 분석된 구매패턴을 통해 판매수량을 예측할 수 있고 판매동향을 파악하여 상품의 합리적인 가격 선정이 가능하다.

• 대한한의학방제학회지
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• 제23권1호
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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.

• 복식문화연구
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• 제13권5호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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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.

• 대한지리학회지
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• 제39권3호
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• pp.360-373
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• 2004

본 연구는 석유제품 유통기관의 판매권역을 설정하기 위한 방법론을 제시하고 설정된 판매권역별 특성을 살피고자 하였다. 이를 위해 공간적 상호작용 모델과 입지-배분모델을 적용하여 효과적으로 정유회사 하부의 지역본부 및 지사와 직영 주유소의 판매권역을 설정하는 방법론을 선정하고 판매권역별 특성을 고찰하는 것을 목적으로 한다. 정유회사의 지역본부 및 지사의 판매권역을 설정해 본 결과 경기지역본부와 같이 타 본부에 비해 유인력이 큰 공급지가 입지한 수도권의 경우 거리에 기초하여 수요지를 배분하는 입지-배분모델을 적용하고, 나머지 지역의 경우 수요지의 유출력과 공급지의 유인력을 현실적으로 반영할 수 있는 공간적 상호작용 모델을 적용하여 판매권역을 설정하는 것이 가장 합리적이었다. 또한 설정된 각 판매권역의 특성을 분석해 본 결과 판매권역 내에 포함되는 자동차대수와 인구수에 있어서 상당한 격차를 보이고 있었다. 이는 판매권역이 잠재적 수요를 기초로 하여 설정되므로, 휘발유 소비 수준의 격차가 이와 같은 판매권역간에 편차를 야기시키고 있다고 풀이할 수 있다.

• 마케팅과학연구
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• 제16권1호
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• pp.117-141
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• 2006

최근 우리나라는 주5일 근무제가 확대 실시되면서 여가가 많아지는 한편 각 업종별 소매점포에서의 요일별 매출도 예전과는 다른 양상을 보이고 있다. 특히 이론적으로 설명할 수 없는 요일별 수요 패턴이 체계적이고 지속적으로 나타나는 것을 요일효과라고 하는데, 요일 마케팅 관점에서 볼 때 어느 소매업종에서의 요일효과 존재여부와 그 크기를 체계적으로 파악하는 것은 소매업의 마케팅에 있어 매우 중요하다. 따라서 본 연구는 남성복 소매시장에서도 요일효과가 존재 하는지의 여부와 만일 존재 한다면 각 요일별 그 차이는 어떠한가를 알아보고자 하는 목표로 수행되었다. 그러나 요일효과 등의 이상현상에 관한 마케팅차원의 연구가 전무하여 주로 재무관리 등의 분야에서 이루어진 연구결과를 토대로 본 연구에서는 우선 개별 수요를 변화시키는 일반적 수요이론과 주식시장에서의 요일효과에 관한 선행연구 등을 토대로 이상현상에 대한 이론적 배경을 고찰 하여 소매유통시장에서의 적용가능성을 탐색하였다. 실증분석에 있어서는 국내 남성복 소매업체인 P사의 과거 5년간 매출 자료를 토대로 데이터 정제와 통계처리를 통하여 요일효과를 분석하였다. 연구결과 남성복 소매시장에 있어서도 요일효과는 존재하며, 월요일에서 일요일로 갈수록 양(+)의 요일효가를 보이고 있으며, 또한 요일효과는 계절별로 각각 다르게 나타나는 것으로 파악되었다. 본 연구는 소매업을 경영하는 기업들이 보다 효율적인 소매점포 운영방안을 강구할 수 있는데 유익한 시사점이 제공되리라 기대한다.