• Journal of Information Technology Applications and Management
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• v.20 no.3
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• pp.79-92
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• 2013

Word-of-mouths (WOMs) are now an important information source for purchase decision. Due to the advance in internet technology, people now can share online their consumption experience, both positive and negative, to others. The WOMs may diffuse to not only their friends but also enormous online users. When consumers dissatisfy the product or service, they may share the dissatisfactory experience to others as WOM, which may bring out discussions for the product or service. The discussions on the negative WOM may help to communicate the negative information to enormous others, which may damage the sale of the product or service. The diffusion and life cycle of negative WOM is an important issue for managers. However, few studies focus on it. Thus, the current study focuses on the discussion pattern and life cycle of negative WOMs by observing the 782 discussion articles in a large online community.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.79-83
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• 2016

The purpose of this study is to provide customized information to student which study and live in a university campus. In this study, we collect internal data of campus and external data on the Internet such as the blog or SNS and, then store and process them. After that, we propose a system for providing individual students one-to-one marketing by analyzing these data in detail. This system analyzes purchase history information and the attendance of the building, and then transmits the coupon and information individually according to the pattern to the student's mobile phone.

• Journal of Agricultural Extension & Community Development
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• v.23 no.2
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• pp.135-144
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• 2016

This paper estimated how demographic characteristics, food selection preferences, daily physical activities, and food purchasing patterns of consumers affect the consumer choice to buy coffee and tea by analyzing the Consumer Panel data in 2014 using Multinomial logit model. The results are summarized as follows. First, factors such as age, income, employment status, and educational level were found to be statistically significant upon the impact analysis of consumers' demographic characteristics. Second, the study showed that the first group of consumers drinking less coffee and tea had the highest interest in health, followed by the third group drinking less coffee and more tea, the second group more coffee and less tea, and the fourth group more coffee and tea. In addition, it was also found that the fourth group's pattern to purchase more coffee and tea could be explained by consumers' food consumption patterns.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.413-414
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• 2023

IT 기술의 발달로 E-Commerce 분야는 실시간으로 발생되는 데이터양이 증가하고 있으며, 발생된 데이터는 개인화 맞춤 서비스에 많이 활용되고 있다. 그러나 신생 E-commerce 기업은 신규 상품 및 기존 상품에 대한 정보와 고객 간의 상호 작용 데이터가 존재하지 않아 콜드 스타트 문제가 발생한다. 이에 본 논문에서는 E-commerce 환경에서 실시간 사용자 구매패턴 분석을 통한 사용자 상품 추천 시스템을 제안한다. 제안하는 시스템은 Kafka와 Spark를 사용해 실시간 스트림을 데이터를 처리한다. 주요 기능은 ALS 알고리즘과, FP-Growth 알고리즘을 적용해 콜트 스타트 문제를 해결하며, 사용자 구매 패턴 분석을 통한 분석 결과에 맞는 상품을 사용자에게 추천한다.

• Journal of Global Scholars of Marketing Science
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• v.19 no.2
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• pp.17-26
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• 2009

As the lifestyle of consumers changes and the need for various products increases, new products are being developed in the market. Each household owns various home appliances which are purchased through the choice of a decision maker. These appliances include not only large-sized products such as TV, refrigerator, and washing machine, but also small-sized products such as microwave oven and air cleaner. There exists latent correlation among possession of home appliances, even though they are purchased independently. The purpose of this research is to analyze the effect of demographic factors on the purchase and possession of each home appliances, and to derive some relationships among various appliances. To achieve this purpose, the present status on the possession of each home appliances are investigated through consumer survey data on the electric and energy product. And a multivariate probit(MVP) model is applied for the empirical analysis. From the estimation results, some appliances show a substitutive or complementary pattern as expected, while others which look apparently unrelated have correlation by co-incidence. This research has several advantages compared to previous literatures on home appliances. First, this research focuses on the various products which are purchased by each household, while previous researches such as Matsukawa and Ito(1998) and Yoon(2007) focus just on a particular product. Second, the methodology of this research can consider a choice process of each product and correlation among products simultaneously. Lastly, this research can analyze not only a substitutive or complementary relationship in the same category, but also the correlation among products in the different categories. As the data on the possession of home appliances in each household has a characteristic of multiple choice, not a single choice, a MVP model are used for the empirical analysis. A MVP model is derived from a random utility model, and has an advantage compared to a multinomial logit model in that correlation among error terms can be derive(Manchanda et al., 1999; Edwards and Allenby, 2003). It is assumed that the error term has a normal distribution with zero mean and variance-covariance matrix ${\Omega}$. Hence, the sign and value of correlation coefficients means the relationship between two alternatives(Manchanda et al., 1999). This research uses the data of 'TEMEP Household ICT/Energy Survey (THIES) 2008' which is conducted by Technology Management, Economics and Policy Program in Seoul National University. The empirical analysis of this research is accomplished in two steps. First, a MVP model with demographic variables is estimated to analyze the effect of the characteristics of household on the purchase of each home appliances. In this research, some variables such as education level, region, size of family, average income, type of house are considered. Second, a MVP model excluding demographic variables is estimated to analyze the correlation among each home appliances. According to the estimation results of variance-covariance matrix, each households tend to own some appliances such as washing machine-refrigerator-cleaner-microwave oven, and air conditioner-dish washer-washing machine and so on. On the other hand, several products such as analog braun tube TV-digital braun tube TV and desktop PC-portable PC show a substitutive pattern. Lastly, the correlation map of home appliances are derived using multi-dimensional scaling(MDS) method based on the result of variance-covariance matrix. This research can provide significant implications for the firm's marketing strategies such as bundling, pricing, display and so on. In addition, this research can provide significant information for the development of convergence products and related technologies. A convergence product can decrease its market uncertainty, if two products which consumers tend to purchase together are integrated into it. The results of this research are more meaningful because it is based on the possession status of each household through the survey data.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.19-41
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• 2016

Recently, the proliferation of mobile devices such as smartphones and tablet personal computers and the development of information communication technologies (ICT) have led to a big trend of a shift from single-channel shopping to multi-channel shopping. With the emergence of a "smart" group of consumers who want to shop in more reasonable and convenient ways, the boundaries apparently dividing online and offline shopping have collapsed and blurred more than ever before. Thus, there is now fierce competition between online and offline channels. Ever since the emergence of online shopping, a major type of multi-channel shopping has been "showrooming," where consumers visit offline stores to examine products before buying them online. However, because of the growing use of smart devices and the counterattack of offline retailers represented by omni-channel marketing strategies, one of the latest huge trends of shopping is "webrooming," where consumers visit online stores to examine products before buying them offline. This has become a threat to online retailers. In this situation, although it is very important to examine the influencing factors for switching from online shopping to webrooming, most prior studies have mainly focused on a single- or multi-channel shopping pattern. Therefore, this study thoroughly investigated the influencing factors on customers switching from online shopping to webrooming in terms of both the "search" and "purchase" processes through the application of a push-pull-mooring (PPM) framework. In order to test the research model, 280 individual samples were gathered from undergraduate and graduate students who had actual experience with webrooming. The results of the structural equation model (SEM) test revealed that the "pull" effect is strongest on the webrooming intention rather than the "push" or "mooring" effects. This proves a significant relationship between "attractiveness of webrooming" and "webrooming intention." In addition, the results showed that both the "perceived risk of online search" and "perceived risk of online purchase" significantly affect "distrust of online shopping." Similarly, both "perceived benefit of multi-channel search" and "perceived benefit of offline purchase" were found to have significant effects on "attractiveness of webrooming" were also found. Furthermore, the results indicated that "online purchase habit" is the only influencing factor that leads to "online shopping lock-in." The theoretical implications of the study are as follows. First, by examining the multi-channel shopping phenomenon from the perspective of "shopping switching" from online shopping to webrooming, this study complements the limits of the "channel switching" perspective, represented by multi-channel freeriding studies that merely focused on customers' channel switching behaviors from one to another. While extant studies with a channel switching perspective have focused on only one type of multi-channel shopping, where consumers just move from one particular channel to different channels, a study with a shopping switching perspective has the advantage of comprehensively investigating how consumers choose and navigate among diverse types of single- or multi-channel shopping alternatives. In this study, only limited shopping switching behavior from online shopping to webrooming was examined; however, the results should explain various phenomena in a more comprehensive manner from the perspective of shopping switching. Second, this study extends the scope of application of the push-pull-mooring framework, which is quite commonly used in marketing research to explain consumers' product switching behaviors. Through the application of this framework, it is hoped that more diverse shopping switching behaviors can be examined in future research. This study can serve a stepping stone for future studies. One of the most important practical implications of the study is that it may help single- and multi-channel retailers develop more specific customer strategies by revealing the influencing factors of webrooming intention from online shopping. For example, online single-channel retailers can ease the distrust of online shopping to prevent consumers from churning by reducing the perceived risk in terms of online search and purchase. On the other hand, offline retailers can develop specific strategies to increase the attractiveness of webrooming by letting customers perceive the benefits of multi-channel search or offline purchase. Although this study focused only on customers switching from online shopping to webrooming, the results can be expanded to various types of shopping switching behaviors embedded in single- and multi-channel shopping environments, such as showrooming and mobile shopping.

• Journal of the Korean Society of Costume
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• v.43
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• pp.169-186
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• 1999

The objectives of the present study were to investigate the relationship between self-concept and clothing buying pattern in accordence with their self-concept. The method employed to conduct this study was normative-descriptive survey using questionnaires. Subjects were 438 high school girls in Seoul and the survery was implemented from the begining of May 1998 to the end of June 1998. The questionnaires were completed by students during class. Mean Standard Deviation Chi-Squeare and t-test were employed to analize the data gathered. The results are summarzed as follows: (1) The group who has the higher score in total positive self, self identity self satisfacton self behavior physcial self moral ethical self personal self and family self cares more about economical efficiency of clothing than the group who has the lower score. (2) The group who has the higher score in total positive self, self satisfaction personal self and family self attachs greater importance to the practical use of clothing than those who scored lower with in said categories of self concept. (3) The group who has the higher total positive self score cares originality more than the group who has the lower score when they purchase outdoor garment. (4) The group who has the lower social self score cares modesty and ostentation more than the group who scored higher in social self. (5) The group who has the higher score in positive self behavior personal self and family self cares about convenence in care and maintenance of the clothing than the group has the lower score. (6) Friends buying and use experiences of herself and the observation of other's attire are the main source of fashion information for the present Korean high school girls. The group who has the higher score in total positive self personal self family self, self identity self satisfactio self behavior used their own experiences more often as a source of fashion information than those who scored lower with in said categories of self concept. The group who has the higher score of total positive self personal self family self, self identity self satisfaction self behavior uses family members more often as a source of fashion information than those who scored lower with in said categories of self concept. The group who has the higher score in self identity and self behavior uses store displays more often than the group who scored lower. (7) Bonded processing goods stores or fancy goods shops(haberdashery) located in trendy shopping district discount stores and outlet stores of the famous manufactures are main places where Korean high school girls buy their outdoor garments. The group who has the higher score in social self, self identity and personal self uses department stores more often and rerely shops at bonded processing goods stores of fancy goods shops located in thendy shopping district compared to those who scored lower with in said categories of self concept.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.661-670
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• 2006

With the development of e-Commerce and the proliferation of easily accessible information, information filtering systems such as recommender and SDI systems have become popular to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. Until now, many information filtering methods have been proposed to support filtering systems. XML is emerging as a new standard for information. Recently, filtering systems need new approaches in dealing with XML documents. So, in this paper our system suggests a method to create multiform user profiles with XML's ability to represent structure. This system consists of two parts; one is an administrator profile definition part that an administrator defines to analyze users purchase pattern before a transaction such as purchase happens directly. an other is a user profile creation part module which is applied by the defined profile. Administrator profiles are made from DTD information and it is supposed to point the specific part of a document conforming to the DTD. Proposed system builds user's profile more accurately to get adaptability for user's behavior of buying and provide useful product information without inefficient searching based on such user's profile.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.191-196
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• 2018

Recently, consumers' taste has been diversified, consumption pattern has changed, and product package design has been gradually developed. The product packaging design should be made to be able to know the contents accurately, and it should have the charm that attracts consumers' attention and makes them want to buy the goods. In addition, product design should motivate consumers to buy according to brand naming, package layout, content expression method, taste color, as well as graphic elements that induce visual effects.The graphic elements that express the image of the contents in a package design of the product at a glance are the most essential elements to enhance the value added of the product and to induce the purchase motivation and rationalization of the consumer. This study is a study on visual image symbol image using visual information metadata in livestock products. It examines cases of various livestock packages and presents graphical elements that can visualize livestock images at a glance as metadata elements. We will pursue the premiumization of livestock products, raise brand value, and offer differentiating design strategies for economic benefits as well as potential for revitalizing the livestock market.

• Fashion & Textile Research Journal
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• v.19 no.6
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• pp.736-748
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• 2017

This study was carried out to offer basic data that can be used for clothing industry for active senior males emerging as a new consumer bracket in the rapid aging age. To this end, this study conducted a questionnaire survey on consumers' wearing condition targeting active senior males. As a result of the questionnaire survey targeting active senior males, the outdoor wear items that they had the most were windbreaker jackets, long pants, and they said the most important reason for their preferred brand was wearing sensation. The matters to consider in purchasing outdoor wear were also wearing sensation and size. Consequently, the active senior males regard wearing sensation as very important. The measurements that they felt uncomfortable by body part were the abdominal extension circumference, sleeve length and jacket length of a jacket, and the rise and lengths of pants. To design the outdoor wear patterns suitable for the active senior male's body type, the pattern measurements of these body parts need to be modified. From the fact-finding survey result on outdoor wear companies, their measurement indicating method was the same for jackets, but each brand used different methods for pants. Based on the results of this survey, outdoor wear needs to be developed to meet active senior needs.