• 한국의류학회지
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• 제30권7호
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• pp.1103-1115
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• 2006

In this study, clothing consumption behaviors of Russian and Korean female college students were compared. Data were collected by conducting surveys in Russia and Korea. In results, Russian female college students spent considerably more money on clothing than did Korean students, compared to the income level. Korean consumers bought clothing mostly in the department stores, whereas Russian consumers preferred large shopping centers, discount stores and traditional markets to shop clothing. As important factors affecting clothing purchase decision, Russian consumers considered country of origin while Korean consumers considered style. Korean consumers were satisfied more on domestic brands than did Russian consumers while Russians were more satisfied with foreign brands than did Koreans. Russian consumers considered diverse factors in forming attitude and buying intention toward domestic and foreign brands. In contrast, Korean consumers' attitude and purchase intention were influenced much by style. Based on study results, marketing implications were provided.

• 경영과학
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• 제21권3호
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• pp.55-69
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• 2004

This study analyzes customer buying-behavior patterns in a department store as time goes on, and predicts moving patterns of its customers. Through them, it suggests in this paper short-term and long-term marketing promotion strategies. RFM techniques are utilized for customer segmentation. Customers are clustered by using the Kohonen's Self Organizing Map as a method of data mining techniques. Then C5.0, a decision tree analysis technique, is used to predict moving patterns of customers. Using real world data, this study evaluates the prediction accuracy of predictive models.

• 기술사
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• 제26권3호
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• pp.69-79
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• 1993

This paper explains about general considerations and project management for a State of the Art utility supervisory systems. [1] The implementation and management of a supervisory system design project requires both a dedication of resources and application of good communications in order to be suc-cessful. [2] Success is on time delivery of a system to a satisfied customer at the proposal cost, [3] The recent experience of a company plus the collected comments from a number of ex-perienced control center project management provide a guideline for the company who is considering such a project. The Comments reflect typical situations or decision points faced by the project Manage.[2] This paper also attempts to help engineers in the task of specifying buying, and instal-ling a supervisory system[1]

• 복식
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• 제54권7호
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• pp.107-120
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• 2004

In this study. with the discovery of adolescents' dissatisfaction factors and preferred images of underwear, the Potentiality of adolescents' underwear market was illuminated. For the purpose of this study, focused group interviews were performed to develop a questionnaires. And data was collected from 309 adolescents female consumer in the age of 13-18 living in busan. The fellowing are the results from the study. First. the female adolescents' dissatisfaction with underwear was analyzed into seven factors. such as buying decision, deformation after laundring, feeling from putting on, price/product variety, the lack of effective design considering body shape, inconvenience for activity and aesthetics. And degree of dissatisfaction was significant different among groups classified by consumer's level of product involvement and consumer's age. Second, the female adolescents' preferred images of underwear are gorgeous/elegant, simple/plain, pure & innocent/modest. active and lovely. From these results, it can be concluded that adolescents' desires of underwear product are different from adults'. Managerial Implications are provided for adolescents' underwear market.

• Asia pacific journal of information systems
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• 제15권3호
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• pp.133-161
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• 2005

This research is to investigate the effects of product involvement on the selection of online shopping malls. From the statistical analysis of 282 response data, it was found that consumers buying products with higher involvement tend to shop in a shopping mall with greater trust, which provide more information regarding their products and a wider variety of products. The other purpose of this research is to investigate factors of shopping malls which influence the buyer's purchase intention. The results of data analysis indicate that consumers are more likely to buy in a shopping mall with greater trust, with detailed product information, and with higher entertaining contents. The results of the study indicate that the shopping malls which give more detailed product information to their customers and establish greater trust will finally lead to a higher sales revenue because more expensive products will be sold.

• Soft Computing and Machine Intelligence
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• 제1권1호
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• pp.11-23
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• 2021

House price prediction is a significant financial decision for individuals working in the housing market as well as for potential buyers. From investment to buying a house for residence, a person investing in the housing market is interested in the potential gain. This paper presents machine learning algorithms to develop intelligent regressions models for House price prediction. The proposed research methodology consists of four stages, namely Data Collection, Pre Processing the data collected and transforming it to the best format, developing intelligent models using machine learning algorithms, training, testing, and validating the model on house prices of the housing market in the Capital, Islamabad. The data used for model validation and testing is the asking price from online property stores, which provide a reasonable estimate of the city housing market. The prediction model can significantly assist in the prediction of future housing prices in Pakistan. The regression results are encouraging and give promising directions for future prediction work on the collected dataset.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.387-390
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• 2009

인터넷의 생활화를 통해 우리 생활 패턴이 크게 변화하였다. 특히 상품 구매의 경우 온라인 시장의 성장과 상품 정보의 범람으로 소비자들의 구매 의사결정은 더욱 어려워졌다. 따라서 효율적인 상품 구매 의사결정을 위해서는 소셜 네트워크 분석(Social Network Analysis)을 기반으로 한 더 가치있는 정보를 선별하여 제공해 줄 수 있는 서비스가 필요하다. 따라서 본 논문에서는 온라인 소셜 네트워크 요소 분석을 통해 상품 후기에 대한 개인화된 가치 측정값 정보를 제공함으로써 소비자의 보다 효율적인 상품 구매가 가능하도록 도와주는 '가치 측정 알고리즘'을 제안한다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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• pp.697-699
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• 2022

Based on the integrated analysis of the existing literature, this study combined with S-O-R model to explore the impact of e-commerce live broadcast characteristics on consumers' impulse purchase intention. Among them, interactive, entertaining, economical and visual features are selected as the features of e-commerce live broadcast; Select pleasure and arousal to measure consumer sentiment, and build a theoretical model among e-commerce live broadcast features, consumer sentiment and consumers' impulsive purchase intention to specifically explore the impact of each feature on emotion and the further impact of emotion on impulsive purchase intention.

• 감성과학
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• 제25권3호
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• pp.63-76
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• 2022

본 연구는 소비자가 경험재인 웹소설을 선택하는 상황에서 사실적 메시지와 평가적 메시지를 담은 온라인 리뷰를 보았을 때 더 유용하다고 판단하는 리뷰가 무엇인지 탐색하고, 이러한 유용성 평가의 차이에 대한 개인의 분석적 의사결정 성향 수준의 조절효과를 검증하기 위하여 실시되었다. 경험재를 구매하기 전 객관적 정보를 수집하는 소비자의 성향에 근거하여 웹소설의 소비자는 사실적인 온라인 리뷰의 유용성을 더 높이 평가할 것으로 예상하였다. 또한 인지적 성향에 따라 구분되는 의사결정 유형 중 분석적 의사결정자는 정확한 정보를 수집하여 논리적인 판단을 내린다. 따라서 분석적 의사결정 성향 수준이 높아짐에 따라 사실적인 온라인 리뷰의 유용성 평가가 높아질 것으로 예상하였다. 실험 1의 결과 사실적인 리뷰를 제시받은 집단이 평가적인 리뷰를 제시받은 집단보다 리뷰의 유용성을 높이 평가하였으며, 실제 웹소설 선택 상황과 유사하게 두 유형의 리뷰를 동시에 제시한 실험 2에서도 리뷰의 유용성 평가에 대한 리뷰 메시지 유형의 주효과가 확인되었다. 또한 실험 2에서는 분석적 의사결정 성향 수준이 높아짐에 따라 사실적인 리뷰의 유용성을 높이 평가하는 경향이 드러나 분석적 의사결정 성향 수준의 조절적 역할이 확인되었다. 본 연구는 경험재인 웹소설을 선택하는 상황에서 리뷰 메시지 유형 및 소비자의 분석적 의사결정 성향 수준이 소비자의 리뷰 유용성 평가에 영향을 끼친다는 사실을 확인함으로써 웹소설 소비자의 행동 양식을 밝혔다는 이론적, 실무적 의의를 갖는다.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.67-93
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• 2006

Some consumers prefer online and others prefer offline. What makes them prefer online or offline? There has been a lack of theoretical development to adequately explain consumers' channel switching behavior between traditional physical stores and new virtual stores. Through consumers' purchase decision processes, this study examined the reasons why consumers changed channels depending on purchase process stages. Consumer's purchase decision process could be divided into three stages: pre-purchase stage, purchase stage, and post-purchase stage. We used the intention of channel selection as a surrogate dependent variable of channel selection. And some constructs, that is, channel function, channel benefits, customer relationship benefits, and perceived behavioral control, were selected as independent variables. In buying look-and-feel products, it was identified that consumers preferred virtual stores to physical stores at pre-purchase stage. To put it concretely, all constructs except channel benefits were more influenced to consumers at virtual stores. This result implied that information searching function, which is a main function at pre-purchase stage, was better supported by virtual stores than physical stores. In purchase stage, consumers preferred physical stores to virtual stores. Specially, all constructs influenced much more to consumers at physical stores. This result implied that although escrow service and trusted third parties were introduced, consumers felt that financial risk, performance risk, social risk, etc. still remained highly online. Finally, consumers did not prefer any channel at post-purchase stage. But three independent variables, i.e. channel function, channel benefits, and customer relationship benefits, were significantly preferred at physical stores rather than virtual stores at post-purchase stage. So we concluded that physical stores were a little more preferred to virtual stores at post-purchase stage. Through this study, it was identified that most consumers might switch channels according to purchase process stages. So, first of all, sales representatives should decide that what benefits should be given them through virtual stores at the pre-purchase stage and through physical stores at the purchase and post-purchase stages, and then devise collaborative channel strategies.