• Knowledge Management Research
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• v.14 no.4
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• pp.87-98
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• 2013

Along with the recent development of Social Network Service (SNS), such as Facebook and Twitter, social commerce market is expanding rapidly. As much, understanding consumers' purchase intention in social commerce becomes important. This study attempted to investigate the factors of consumers' purchase intention, and the effects of these determinants(price discount, perceived risk and product review) on consumer's purchasing intension in social commerce networks. Also, the interaction effects between these factors on consumer's purchasing intension were studied. The results showed that the effect of perceived risk on consumer's purchase intention found to be significantly negative. The interaction effect between price discount and perceived risk, and the interaction effect between price discount and review were meaningful on consumers' purchase intention. It indicates that the important factor for consumers to purchase products in social commerce is not just price discount but perceived risk, and that review which consumers think is manipulated has negative effect on purchase intention.

• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.216-226
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• 2015

This study identifies factors of perceived risk of up-cycling fashion products and investigates perceived risk factors that influence consumers' trust, purchase intention, and recommendation intention towards upcycling fashion products. We also examine the relationship of trust, purchase intention, and recommendation intention for upcycling fashion products. A qualitative research method using a free narrative form and depth interview were used. The perceived risk from up-cycling fashion products generated 5 factor solutions: aesthetic risk, sanitary risk, social risk, performance risk, and economic risk. Next, 201 effective data were collected from a questionnaire survey and analyzed with SPSS 22.0. The results are summarized as follows. First, aesthetic risk and performance risk had a negative effect on products. Second, aesthetic risk and performance risk had negative influence on purchase intention for upcycling fashion products. Third, performance risk had a negative impact on recommendation intention for upcycling fashion products. Fourth, trust had positive effect on purchase intention and recommendation intention for upcycling fashion products. The results of the current study provides various theoretical and practical implications for marketers and retailers interested in up-cycling fashion products.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.48-56
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• 2009

The purposes of this study were to segment knit wear consumers by their lifestyles and to examine knit wear purchase behavior among the lifestyle segments. The subjects of this study were female consumers who were residents in Seoul and metropolitan areas. The researchers distributed the questionnaires and the final sample of 357 was used for the data analysis. The statistical analysis methods used for the study were factor analysis, cluster analysis, ANOVA, Duncan test, and ${\chi}^2$-test. The results showed that the lifestyle factors had 6 dimensions: fashion, planned purchase, socially active, impulsive consumption, brand, and leisure/culture. These factors were categorized into four groups: brand oriented group, passive group, rational/social group, and fashion/impulsive consumption group. The results also showed that there were significant differences among the groups in regard to knit wear purchase criteria, knit wear image preferences, and other knit wear purchase behaviors. For example, brand oriented group considered design and brand name/fashion important as knit wear selection criteria, and the group preferred an elegance image and a modern image than did other groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.937-945
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• 2002

The purpose of this study was to investigate the effects of internet shopping interest, fashion interest, sex on internet clothing purchase intention and selection criteria. The subjects used for the study were 76 male and l25 female college students. The clothing purchase intention was measured by five categories: formal wear, casual wear, sports wear, under wear, and fashion accessories. The clothing selection criteria consisted of four factors: aesthetics, conformity, individuality, and comfort. The results showed that there was a main effect of internet shopping interest on internet purchase intention fur all clothing categories. Also, there were differences between men and women concerning the purchase intention of casual wear and sports wear. In regard to clothing selection criteria, the results showed that fashion interest and sur had an impact on three factors of clothing selection criteria. The subjects considered aesthetics, conformity, and individuality important when they had higher fashion interest or were female. In addition to main effects, the interaction effects among internet shopping interest fashion interest, and sex were discussed.

• Asian Journal of Business Environment
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• v.8 no.3
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• pp.5-12
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• 2018

Purpose - The purpose of current paper is to identify features of advertisements at social media that generate the ad-click and to further identify if these advertisements lead to purchase. If no purchase is made, then reasons for not making purchase are identified. Users' purchase experience after users clicked at advertisements are also studied. Research design, data, and methodology - Research design followed is exploratory research, where various factors leading to ad-clicks and generating purchase at social media platform were explored. Raw data was gathered by means of survey among a sample of 185 respondents in India using online structured questionnaire. GLM model and multinomial regression were used to analyze the data. Results - Several factors including endorsement by friends, advertisement aesthetics, product reviews, and aggressive pricing played major role in generating ad-clicks. Major impediment to purchase on were product misrepresentation in advertisement, false discounts, and site security. Female users clicked more on social media advertisements and made more purchases compared to their male counterpart. Conclusions - Social media advertisements have significant positive effect on buying behavior of online customers. Transactions culminating from social media ad-click generated significant positive experience for social media users. Thus, social media can be effective marketing tool.

• Fashion & Textile Research Journal
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• v.12 no.6
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• pp.745-754
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• 2010

This study is to find return factors when modern consumers purchase goods from an internet shopping mall and then to analyze the characteristics of complaints act and information search behavior. Subjects of research are 245 men and women, who have experience with more than one return in internet fashion shopping mall, in their twenties. The data were analyzed by using Factor analysis, Cronbach's analysis, one-way ANOVA, Duncan test as a post identification, Pearson's correlation analysis and multiple regression analysis. The results of this study are that male and female consumers in their 20s are mainly aware of the return factors: impulse buying, product status, deliver service, service after purchase, hype and comfortableness. And complains behavior often conduct public action, private action, nonaction. Information search behaviors for risk reduction when they purchase are product comparison, oral information search, neutral marketing information search, and service information search. The return factor from the internet fashion shopping had the greatest impact on public action and deliver services factor was a big complaint. In addition, impulse buying & Hype affect private action and non-action is influenced by impulse purchase. The consumer types by the return factors in internet fashion shopping mall are classified into the return group by deliver service, the return group by complex factors, and the return group by product status. Furthermore, there are significant differences in complaining behavior among these groups. In the information search behavior for reduction of risk factors, the return group by complex factors did more active information search behavior than the other groups. The return group by deliver service searched oral information and the return group by product status explored the neutral marketing information.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.53-65
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• 2021

The study of behavioral intention in the fashion industry, until recently, focused on the variables of satisfaction and the intention of purchase, and were limited to specific individuals who were fashion consumers. It was found that variables of intention of recommendation have a greater impact on many other potential customers from a study on consumer behavioral intention. Thus, this study seeks to examine the relationship between the selection factors of collaboration fashion products and preference, and the relationship between preference and the intention of purchase. Moreover, the purpose of this research is to find the influence of relationships between selective factors of collaboration fashion products and the intention of recommendation. The 'intention of recommendation' was set as a dependent variable, that influences the relationship between preference and intention of recommendation. For empirical analysis, SPSS 25.0 software was used to conduct frequency analysis, reliability analysis, factor analysis, and multiple regression analysis based on a survey results conducted upon 217 people in their 20s. The empirical analysis results are as follows: First, collaboration fashion product selection factors consisted of 'product originality', 'designers and artists' reputation', 'product reliability', and 'products' aesthetic impression'. Second, the selection factors of fashion products had a positive influence on product preferences. Third, the preference for collaboration fashion products had an influence on intention of purchase and intention of recommendation. Fourth, collaboration fashion product selection factors affected intention of purchase. Fifth, selection factors of collaboration fashion products were found to have a significant impact on the intention recommendation.

• International Journal of Human Ecology
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• v.10 no.2
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• pp.55-69
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• 2009

The Purpose of the current study is to investigate the differences in cosmetics attribute evaluation, purchase motivation, and brand re-purchase intention with respect to shopping orientations of Korean female university students. Questionnaires were distributed to 250 female students at Kyungpook National University and 220 completed questionnaires were analyzed. The results were as follows. First, shopping orientations and cosmetics attribute evaluation each generated four factor solutions, whereas cosmetics purchase motivations produced three factors. Second, three consumer groups - Efficiency Shopper Group, Indifference Shopper Group Ambivalence Shopper Group - with different shopping orientations were identified. Third, the study found significant differences in consumers' attribute evaluation such as function and price among the groups. The study also revealed a significant difference in contingent purchase motivations and brand re-purchase intention among the groups. From these results, we could identify that cosmetics re-purchase intention was significantly different among three different groups with different shopping orientations. Furthermore, consumer classification according to shopping orientations in cosmetics product purchase can be used by cosmetics marketers and managers to establish product plan and marketing strategy development. Additionally, the current study has originality and value that the relationship between shopping orientation and re-purchase intention has not been studied very much in the cosmetics product domain.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.331-340
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• 2015

This study examined the factors that affect the relationship among functional bakery purchase motivation, consumer attitudes, and purchase intention. A total of 230 questionnaires were distributed to the consumers, of which 210 were deemed suitable for analysis after the removal of 20 unusable responses. In order to perform statistical analyses required in current study, SPSS 18.0 statistical program was employed for frequency analysis, factor analysis, and reliability analysis, Correlations, regression analysis. The results of exploratory factor analysis showed that four factors regarding local specialties purchase motivation were extracted from all measurements with a KMO of 0.735 and a total cumulative variance of 65.759%, with regard to consumer attitudes, one factors were extracted with a total cumulative variance of 72.421% and a KMO score of 0.684. One factor for purchase intention was extracted that accounted for a total cumulative variance of 67.139% and a KMO score of 0.683. All factors were significant and the correlation between variables was significant as well. Thus, based on the results, the main research hypothesis that identifies the relationships purchase motivation between consumer attitudes and purchase intention were partially adopted.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.135-138
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• 2005

Many aspects of the way we work and live in the twenty-first century will be determined by the vast web of Internet. Virtual environments open the door to new identity experiences. Having the possibility to enter in a new community, where any personal information is directly shown to others, is a possibility to experiencing different self and thus to show and build new identities. This paper aims to identify how to relate the perception of cyber identity, loyalty and purchase intention. First, we classified cyber identity into two types, personal and social, and analyzed perception of each identity type. Then we conducted a survey using pre-designed questionnaire and found out factors consisting personal and social identity. Finally we analyzed the effects of these factors on loyalty and purchase intention using Structural Equation Model.