• 한국유기농업학회지
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• 제25권3호
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• pp.537-554
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• 2017

This study had purpose to examine the consumers preference and buying property of processed products by rice, barley, wheat, bean. For the study, the interview was conducted of 300 samples more than 19 years of age. We attempt to examine consumers' preference and individual properties when purchasing processed grain products. Questionnaire was filled for the 23 variable by referring to previous studies to investigate the properties to consider when consumer purchasing the products. To conceptualize, reduce the high correlation parameters by factor analysis. The results attribute to seven factors that safety, brand/image, taste/shelf life, convenience seeking, preferred high-quality, price, consumption patterns. These properties showed significant differences in demographics. First, there was statistically difference by age in safety, brand/image, high quality preference, taste/shelf life. Second, Safety and high-quality preference were the difference between jobs, and depending on household income were significant difference in consumption patterns. We analyzed the purchasing preference by purchase frequency. Ramen, bread, beer are higher purchase frequency than any processed grain products. On the other hand, frozen rice, soybean paste, red pepper paste that are used primarily domestic raw, were lower purchase frequency. But the difference of purchase property according to products was very similar that the highest factor is price, the following factor as taste. Based on these findings, the implications and the limitations of the study were presented.

• 한국의상디자인학회지
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• 제14권1호
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• pp.43-59
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• 2012

The purpose of this study was to compare knitwear design preferences and purchase behaviors of university students by sex. The subjects were 493 university students in Daejeon and Gongju provinces. The research method was a survey and measurement instruments were 16 stimuli which were manipulated of knitwear shape and self-administrated questionnaire (knitwear design preference items, knitwear favorite image items, purchase behavior items and subject' demographic attributions). Data were analyzed by factor analysis, frequency analysis, t-test, Cronbach' ${\alpha}$ using SPSS program. The results of the study were as follows. First, as for pullover designs according to pullover shape factors, male preferred classic design with normal round neck, set-in sleeves and normal length, whereas female preferred various designs with normal round, normal V or deep V neck, set-in sleeves and normal or long length. Second, there was significant difference by sex in knitwear patterns and materials. Male preferred geometric patterns and 100% cotton, whereas female preferred natural patterns and blended cotton. Third, 4 factors were emerged on knitwear favorite images(casual image, modem classic image, active image and characteristic image). Especially, there was significant difference by sex in active image. Male preferred active image, whereas female did not. Fourth, as for knitwear purchases, male considered fitting as important purchase criteria, whereas female considered design or style. Male used department stores for purchasing, whereas female used Bosejeom for independent fashion. Male preferred high quality knitwear to female.

• 대한산업공학회지
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• 제33권3호
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• pp.339-348
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• 2007

Since the 1980s, the marketing paradigm has rapidly changed from product-driven marketing to customer-driven marketing. Recently, due to an increase in the amount of information, customer-differentiation strategies have been emphasized more than product-differentiation strategies. This paper suggests a methodology for new customer segmentation and purchase forecasting using changes in customer behavior. This methodology includes a segmentation method for new customers using existing customer's characteristics and a purchase-forecasting system using the purchase-behavior patterns of existing customers. The proposed methodology not only provides differential services from a segmentation system but also recommends differential items from the purchase forecasting system for new and existing customers.

• 한국전자거래학회지
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• 제13권2호
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• pp.23-54
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• 2008

본 연구는 정보격차의 유형에 따른 정보격차의 발생원인 및 정보격차의 차이가 개인의 거래성과인 쇼핑가치와 구매의도에 미치는 영향력을 파악해 보고자 하였다. 본 연구의 주요결과는 다음과 같다. 첫째, 개인의 인구사회적 특성에 따라 정보격차의 수준을 평균값을 중심으로 살펴본 결과 연령, 학력, 직업의 경우는 모든 정보격차의 유형에서 집단간 평균값에 차이가 있는 것으로 나타났다. 둘째, 쇼핑가치와 구매의도에 미치는 정보격차요인들의 상대적 영향력을 분석한 결과 질적활용격차가 쇼핑가치와 구매의도에 매우 강한 영향력이 있는 것으로 나타났다.

• 한국실내디자인학회논문집
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• 제21권4호
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• pp.96-105
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• 2012

The fundamental purpose of this study is whether Show Window Display actually affect on purchase and if it does, how much Show Window Display have influence on the buyer's satisfaction. Show windows are most important at clothing stores. The show open types of domestic clothing stores are usually open-type and semi open-type. Show Window Display types of low and middle prices stores are generally opened, horizontal and storied type and the shape, height, opening type and use of ground floor are different by regional distinct features. Generally Show Window Display are consisted by lights, mannequins and directed props. In buying patterns, an impulse buying has more stronger effect than a scheduled buying, a substituted buying and non-buying. An impulse buying are strongly affected by Design and others are prices. The reason why Show Window Display affecting on purchase is the satisfaction of Design and the strong stimulus to purchase(impulse buying), and then Show window Display used by all components strongly has an effect on it. Factors of purchase desires were Design, price and quality in order and factors of purchase motivations were the motivation of clothing design and the motivation of impulse buying. Thus the effects of Show Window Display and factors of purchase motivations are same. As a result of this study, differentiated Show Window Display methods of clothing stores affect the value of goods, the stimulus of purchase and fostering sales effectiveness. Therefore the instruction of Show Window Display methods are indicated by this study.

• 유통과학연구
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• 제18권2호
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• pp.69-77
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• 2020

Purpose - This paper is aimed to analyze the effects of the mandatory closing regulation targeting large retailers, which has been implemented since 2012 to protect small retailers. We examine the changes in consumers' choice of retailers and their purchasing patterns of agri-food following the implementation of such regulation. Research design, data, and methodology - Household spending patterns were identified through the historical data of household food purchase, consumer panel provided by the Rural Development Administration. Clustering was employed to determine the household spending patterns. Moreover, the different household spending patterns before and after the regulation were comparatively studied. The patterns of consumers' choice of retail stores and shopping baskets by the type of retailers, derived from the respective datasets before and after the regulation, were compared to analyze the effects of the regulation. Results -After the regulation, some consumers who used to shop at large retailers before the regulation changed their shopping places to small retailers. However, the product categories that consumers had mainly purchased before the regulation were rarely changed even after the regulation. Conclusions - Although the regulation helped migrate some of the consumers to small retailers, the regulation seemed to have failed to stimulate consumers to purchase the goods, normally bought at large retailers, from traditional markets. In other words, traditional markets are not effective substitutes for regulation-affected retailers.

• 복식문화연구
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• 제31권5호
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• pp.669-691
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• 2023

This study aims to analyze the variations in online clothing purchasing patterns based on demographic attributes and purchasing behavior. The survey subjects comprised individuals in their 10s to 50s who had prior experience with online shopping. The survey was conducted in Gyungnam from May to June 2022. A total of 397 questionnaires were analyzed using the χ²-test statistical method. The analysis of clothing purchase type based on demographic characteristics revealed differences in terms of gender, marital status, age, monthly income, and occupation. Notably, when analyzed by demographic characteristics and clothing purchase types, monthly online purchase frequency displayed significant differences in marital status, age, and occupation. Similarly, monthly purchase amounts through online platforms exhibited significant variations based on marital status, age, monthly income, and occupation. The online fashion platforms, when examined in relation to demographic characteristics and purchase types, showed significant differences across all variables. Clothing purchases by consumers seeking individuality and differentiation exhibited significant differences in age, occupation, and purchase types. Furthermore, the reasons for choosing online platforms for clothing purchases varied significantly based on age and occupation. These findings indicate diverse purchasing behaviors on online platforms influenced by demographic characteristics. These findings can be valuable for effectively segmenting the online fashion market.

• 지능정보연구
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• 제25권1호
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• pp.85-107
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• 2019

온라인 소비자는 쇼핑 웹사이트에서 특정 제품군이나 브랜드에 속한 제품들을 둘러보고 구매를 진행할 수 있고, 혹은 단순히 넓은 범위의 탐색 반경을 보이며 여러 페이지들을 돌아보다 구매를 진행하지 않고 이탈할 수 있다. 이러한 온라인 소비자의 행동과 구매에 관련된 연구는 꾸준히 진행되어왔으며, 실무에서도 소비자들의 행동 데이터를 바탕으로 한 서비스 및 어플리케이션이 개발되고 있다. 최근에는 빅데이터 기술의 발달로 소비자 개인 단위의 맞춤화 전략 및 추천 시스템이 활용되고 있으며 사용자의 쇼핑 경험을 최적화하기 위한 시도가 진행되고 있다. 하지만 이와 같은 시도에도 온라인 소비자가 실제로 웹사이트를 방문해 제품 구매 단계까지 전환될 확률은 매우 낮은 실정이다. 이는 온라인 소비자들이 단지 제품 구매를 위해 웹사이트를 방문하는 것이 아니라 그들의 쇼핑 동기 및 목적에 따라 웹사이트를 다르게 활용하고 탐색하기 때문이다. 따라서 단지 구매가 진행되는 방문 외에도 다양한 방문 형태를 분석하는 것은 온라인 소비자들의 행동을 이해하는데 중요하다고 할 수 있다. 이러한 관점에서 본 연구에서는 온라인 소비자의 탐색 행동의 다양성과 복잡성을 설명하기 위해 실제 E-commerce 기업의 클릭스트림 데이터를 기반으로 세션 단위의 클러스터링 분석을 진행해 탐색 행동을 유형화하였다. 이를 통해 각 유형별로 상세 단위의 탐색 행동과 구매 여부가 차이가 있음을 확인하였다. 또한 소비자 개인이 여러 방문에 걸친 일련의 탐색 유형에 대한 패턴을 분석하기 위해 순차 패턴 마이닝 기법을 활용하였으며, 같은 기간 내에 제품 구매까지 완료한 소비자와 구매를 진행하지 않은 채 방문만 진행한 소비자들의 탐색패턴에 대한 차이를 확인할 수 있었다. 본 연구의 시사점은 대규모의 클릭스트림 데이터를 활용해 온라인 소비자의 탐색 유형을 분석하고 이에 대한 패턴을 분석해 구매 과정 상의 행동을 데이터 기반으로 설명하였다는 점에 있다. 또한 온라인 소매 기업은 다양한 형태의 탐색 유형에 맞는 마케팅 전략 및 추천을 통해 구매 전환 개선을 시도할 수 있으며, 소비자의 탐색 패턴의 변화를 통해 전략의 효과를 평가할 수 있을 것이다.

• 대한가정학회지
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• 제46권9호
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• pp.7-19
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• 2008

This research aims to analyze rational decision behavior in different stages of purchasing for consumers buying household appliance goods and deals with differences in socio-demographic features and relevant variables among completely rational, intermediatedly rational, and irrational groups as well as variables differentiating those groups. First, one third of purchasers for Kimchi refrigerators was the rational consumer while a half of purchasers for side-by-side refrigerators and washing machines was. Second, there was no significant differences in satisfactions levels after purchase between rational and irrational groups among purchasers of side-by-side refrigerators but between completely and intermediately rational groups in the case of Kimchi refrigerators. Rational groups of consumers for Tromm washing machines rely on various places for purchase and also show the high level of intention for repurchase. Third, in studies of variables differentiating rationality in purchase behavioral patterns of consumers, rational choices turn out to prevail (1) among purchasers of married, college graduated, employers, and high income in the case of side-by-side refrigerators, (2) among buyers of male, old-aged, college graduated, non-employers, low, income, and hurrying to purchase in the case of Kimchi refrigerators, and (3) among buyers of old-aged, high income, not hurrying to purchase, and visiting numerous stores in the case of Tromm washing machines.

• 한국지능시스템학회논문지
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• 제15권3호
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• pp.306-311
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• 2005

소비자의 구매패턴을 분석하기 위해서는 문화적 요인, 사회적 요인, 개인적 요인, 심리적 요인 등을 고려해야 한다. 소비자의 구매에 이르는 심리나 내부 상태까지 깊이 고려하여 분석하게 되면 소비자의 구매행동을 정확하게 예측하거나 구매요인을 추측할 수가 있기 때문에 기업에서는 소비자의 기호에 맞는 상품개발에 효과적으로 이용할 수가 있다. 이러한 요인들은 직접적인 정보처리로 분석하기 어렵기 때문에 불확실한 정보를 취급하는 기술이 필요하다. 베이지안 네트워크는 불완전한 자료나 관측이 불가능한 자료에도 대응이 가능하며 구매자의 구매에 이르는 심리나 내적상태등과 같은 관측이 곤란한 요소도 다룰 수 있다. 따라서 본 논문에서는 상품구매에 따르는 소비자의 구매행동 패턴을 분석하기 위해 판매자의 노하우와 소비자의 구매의식을 조사하여 이 데이터를 바탕으로 베이지안 네트워크를 구성하고 구매패턴을 예측하는 방법을 제안하였다. 베이지안 네트워크를 이용하여 불필요한 속성을 가진 데이터를 제거하고 코호넨의 SOM을 이용하여 소비자의 구매패턴을 분석하였다.