• Journal of Fashion Business
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• v.14 no.2
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• pp.81-94
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• 2010

The online shopping environment has radically changed consumer shopping behavior. Without the actual physical shopping experience in a brick-and-mortar store, consumers make purchasing decisions over the Internet. They make an effort to obtain product information not only from online merchants, but also from previous purchasers in order to make an informed decision. Accordingly, customer comments are expected to have a significant impact on decisions to purchase goods and services online. This paper focuses on one type of electronic word-of-mouth, the online consumer review. It derives several motivations why customers post product reviews on shopping mall sites. Customer motives were identified through an in depth one-on-one interview with twenty female respondents conducted twice from June $17^{th}$ to September $11^{th}$, 2009. The interviews lasted between 40 and 60 minutes. The results showed that consumers write product reviews based on six motivations: to receive a reward or remuneration for writing a product review, to share information with other customers, to improve the quality of goods and services, to reduce customer dissatisfaction, to recommend products and services, and to derive pleasure.

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.93-106
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• 2011

The purposes of this study were to segment female consumers on the basis of their clothing image preference, and to investigate the clothing purchasing behaviors of each segmented market. The research method was a questionnaire survey and participants were 700 women aged from 20's to 60's in Daejeon and Chungnam province. The questionnaire consisted of items for clothing image preference, clothing purchasing behaviors and the participants' demographic characteristics. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, ${\chi}^2$ test, ANOVA and the Scheff$\'{e}$ test. The results were as follows. Female consumers were divided into 7 types(sophisticated, natural, characteristic, elegant, active, feminine, and neat type) by clothing image preference. The 7 segmented market groups differed in many ways in terms of demographic characteristics and various clothing purchasing behaviors(clothing selection criteria, purchasing motives, fashion information sources, places of purchase, shopping frequency, and quantity and cost of purchases). The results of this study supported the view that clothing image preference can be a useful and effective variable for female market segmentation.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.3
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• pp.37-46
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• 2008

The purposes of this article are segmenting consumers by brand attachment motives and discovering the differences among the segmented groups in relation to clothing involvement and clothing behavior (ready-to-wear satisfaction, brand loyalty, purchased items, and purchased places). The subjects of this study were male and female consumers, who were residents in Seoul, Korea. The data had been collected during May, 2007, and statistical analyses used for the study were factor analysis, cluster analysis, t-test, and chi-square test. The results showed that brand attachment motive is composed of two factors: brand personality/individuality expression and conformity/status improvement. Based on cluster analysis, there were two brand attachment motive groups: individuality expression and status improvement segments. T-test showed that brand attachment motive segments were significantly different in terms of clothing involvement and clothing behavior (ready-to-wear satisfaction, brand loyalty and purchased items). For example, the individuality expression group was more interested in clothing, was more satisfied with ready-to-wear clothing, had higher brand loyalty, and usually purchased casual wear. Meanwhile, the status improvement group had a higher perceived risk in clothing involvement, was less satisfied with ready-to-wear clothing, had a lower degree of brand loyalty, and preferred to purchase formal wear. The results implied that brand attachment motive is an important variable in market segmentation, in which specific marketing strategies should be implemented for each targeted consumers.

• Journal of the Korean Society of Costume
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• v.49
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• pp.113-124
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• 1999

The purpose of this study was to categorize brand-switching behaviors into subdivided groups by variety seeking and perceived differences between brands and to compare and to analyze brand-switching motive perceived differences between brands clothing-involvement and buying price among the subdivided groups. The subjects were 343 female and male to have jean pants-buying experience in their age of 20-29 living in Seoul and Kyunggi province. For the analysis of the data mean frequency t-test $\chi^2$-Test Factor analysis MANOVA Duncan-test were conducted and the cronbach's $\alpha$ has been calculated to measure the reliability The results are as follows: 1. brand-switching behaviors are categorized into 4 groups by strength of variety-seeking and perceived differences between brands that are small or large which are habitual brand switchers internal derived brand-switchers external derived brand-switchers and combined derived brand-switchers. 2. Among the 4 sub-groups there were significant difference in brand-switching motive according to factors such as change-seeking needs and price & promotion. And there were significant differences in perceived differences between brands according to factors such as apparel design clothing -symbolism fitness except apparel shop. 3. According to strength of variety-seeking levels of clothing-involvement and buying price have increased Combined derived brand-switchers have totally the strongest variety-seeking and the highest clothin-involvement and they purchase the highest priced jean-pants of the other types of consumers.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.2
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• pp.212-223
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• 2004

The purpose of this study is 1) to identify Chinese environment for investment and apparel market, 2) to analyze the current situations of Korean fashion brands＇entry to Chinese market, 3) to analyze the marketing strategies to China according to product category, and 4) to identify merits and problems of Chinese market. For data collection, secondary resources were collected, and the telephone interview with merchandisers were implemented with brand managers. Twenty-one fashion brands were included for the study. Results of the study were as followed： 1) China was a big potential apparel market due to its rapid economic growth. Apparel purchase behavior and clothing preference of Chinese consumers were various by regional groups. 2) The motives of entry to China were to competition in domestic markets, saving raw material cost. The entry modes to China were direct export, license and regional manufacturing system. 3) Marketing strategies were to pursue high quality branding, high pricing and placing strategies with high-class department stores. Also star marketing were used with ＂Han Rue＂. Also various promotion strategies were implemented such as fashion show and unique VMD. 4) The merits of Chinese market were high potential market for export, close proximity, cultural similarity and Han-Ryu syndrome. Problems of Chinese market for export were lack of experts on Chinese market, fierce competition in China, and unstable economic policies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.286-299
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• 2017

The Korean performing arts has been facing stagnation due to oversupply, lack of effective distribution system, and insufficient business models. In order to overcome these difficulties, it is necessary to improve the efficiency and accuracy of marketing by using more objective market data, and to secure audience development and loyalty. This study considers the viewpoint that 'Big Data' could provide more general and accurate statistics and could ultimately promote tailoring services for performances. We examine the first case of Big Data analysis conducted by a credit card company as well as Big Data's characteristics, analytical techniques, and the theoretical background of performing arts consumer analysis. The purpose of this study is to identify the meaning and limitations of the analysis case on performing arts by Big Data and to overcome these limitations. As a result of the case study, incompleteness of credit card data for performance buyers, limits of verification of existing theory, low utilization, consumer propensity and limit of analysis of purchase driver were derived. In addition, as a solution to overcome these problems, it is possible to identify genre and performances, and to collect qualitative information, such as prospectors information, that can identify trends and purchase factors.combination with surveys, and purchase motives through mashups with social data. This research is ultimately the starting point of how the study of performing arts consumers should be done in the Big Data era and what changes should be sought. Based on our research results, we expect more concrete qualitative analysis cases for the development of audiences, and continue developing solutions for Big Data analysis and processing that accurately represent the performing arts market.

• Culinary science and hospitality research
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• v.22 no.5
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• pp.52-63
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• 2016

This research was conducted about four weeks from April 1, 2016 until April 30. Data collection for customers who visit the restaurant franchise in Seoul. Results shown that choose a restaurant franchise result sync conducted a regression analysis to analyze the impact on consumers' purchase intention. Kindness was the influence of B=0.597 (p<.001), is a unique B=0.210 (p<.001), cleanliness is B=0.230 (p<.001) significant information on the degree of consumer purchases (+). Second, choose a restaurant franchise motivation verify the moderating effect of consumer attitudes between the purchase intention of consumers eating out analysis. In the first stage determining factor model to 0.630, F=128.612 (p<0.01) emerged as significant. In the second stage of the explanatory models increased by the addition of an additional 6.1% of consumer attitudes consumer attitudes to F=58.656 (p<0.01) for it came out significantly. In Step 3 of Select synchronization options* and the increase in explanatory power due to the additional input of consumer attitudes 0.6%, so for F=1.585 (p<0.01) emerged as a significant moderating effect.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.85-107
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• 2019

Online consumers browse products belonging to a particular product line or brand for purchase, or simply leave a wide range of navigation without making purchase. The research on the behavior and purchase of online consumers has been steadily progressed, and related services and applications based on behavior data of consumers have been developed in practice. In recent years, customization strategies and recommendation systems of consumers have been utilized due to the development of big data technology, and attempts are being made to optimize users' shopping experience. However, even in such an attempt, it is very unlikely that online consumers will actually be able to visit the website and switch to the purchase stage. This is because online consumers do not just visit the website to purchase products but use and browse the websites differently according to their shopping motives and purposes. Therefore, it is important to analyze various types of visits as well as visits to purchase, which is important for understanding the behaviors of online consumers. In this study, we explored the clustering analysis of session based on click stream data of e-commerce company in order to explain diversity and complexity of search behavior of online consumers and typified search behavior. For the analysis, we converted data points of more than 8 million pages units into visit units' sessions, resulting in a total of over 500,000 website visit sessions. For each visit session, 12 characteristics such as page view, duration, search diversity, and page type concentration were extracted for clustering analysis. Considering the size of the data set, we performed the analysis using the Mini-Batch K-means algorithm, which has advantages in terms of learning speed and efficiency while maintaining the clustering performance similar to that of the clustering algorithm K-means. The most optimized number of clusters was derived from four, and the differences in session unit characteristics and purchasing rates were identified for each cluster. The online consumer visits the website several times and learns about the product and decides the purchase. In order to analyze the purchasing process over several visits of the online consumer, we constructed the visiting sequence data of the consumer based on the navigation patterns in the web site derived clustering analysis. The visit sequence data includes a series of visiting sequences until one purchase is made, and the items constituting one sequence become cluster labels derived from the foregoing. We have separately established a sequence data for consumers who have made purchases and data on visits for consumers who have only explored products without making purchases during the same period of time. And then sequential pattern mining was applied to extract frequent patterns from each sequence data. The minimum support is set to 10%, and frequent patterns consist of a sequence of cluster labels. While there are common derived patterns in both sequence data, there are also frequent patterns derived only from one side of sequence data. We found that the consumers who made purchases through the comparative analysis of the extracted frequent patterns showed the visiting pattern to decide to purchase the product repeatedly while searching for the specific product. The implication of this study is that we analyze the search type of online consumers by using large - scale click stream data and analyze the patterns of them to explain the behavior of purchasing process with data-driven point. Most studies that typology of online consumers have focused on the characteristics of the type and what factors are key in distinguishing that type. In this study, we carried out an analysis to type the behavior of online consumers, and further analyzed what order the types could be organized into one another and become a series of search patterns. In addition, online retailers will be able to try to improve their purchasing conversion through marketing strategies and recommendations for various types of visit and will be able to evaluate the effect of the strategy through changes in consumers' visit patterns.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.239-249
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• 2022

This study attempted to categorize the motivation for participation in leisure sports and analyze the difference in consumer demand for leisure sports wear according to the type. As a result of the analysis, the functionality of the preferred material consisted of movement, comfort, and body temperature maintenance. When purchasing, the factors to consider were extracted such as basic emphasis, emphasis on flaunting, and emphasis on practicality. The improvement requirement was composed of basic function improvement and various function additional factors, and the purchase satisfaction factor was composed of three factors: brand, practicality, design, and functionality. Motives for participation in marine leisure sports were grouped into mania, leisure, and health types. As for the functionality of the preferred material, the mania type and leisure type preferred movement, comfort, and body temperature maintenance functionality over the health type. As for the factors to consider when purchasing, the mania type and leisure type had higher consideration for the factors of basic emphasis, ostentation, and practicality than the health type. In the improvement requirements, both basic function improvement and various function additions had the highest mania type and the lowest health type. In terms of purchase satisfaction factors, practicality and brand were found to have a high leisure type, and functional factors were found to have a high mania type. For the enthusiastic group, it is thought that product development should focus on functionality and additional functions, and health types should be focused on design and utilization.

• Journal of Forest and Environmental Science
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• v.16 no.1
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• pp.105-118
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• 2000

The study is focused on comparing the perception of forest investment by two types of forest owners, ordinary forest owners (OFOs) and forestry successors and model forest owners(FSMFOs). The results show that FSMFOs' perception of forest investment is relatively high compared with OFOs' perception. The details are as follows; 1. In the general status, the education and income levels of FSMFOs are higher than those of OFOs, and FSMFOs are engaged in various kinds of jobs while OFOs are inclined to lean toward farming. 2. Of the motives to own forests, partial-purchase and -inheritance is the most of FSMFOs(41.2%) and inheritance the most of OFOs(40.9%) 3. The number of FSMFOs who had made forest investment and applied government support is more than that of OFOs. 4. FSMFOs know government support better than OFOs do, while both show lukewarmness on weather the support is carried out according to the rules.