• Title/Summary/Keyword: Attributes of fashion products

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Identification with avatar and self-reference effects: Impact on perceived attributes and purchase intentions (아바타와의 동일시가 가상 패션 아이템 속성 지각 및 구매의도에 미치는 영향)

  • Woojin Choi;Yuri Lee
    • Journal of Fashion Business
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    • v.28 no.2
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    • pp.1-14
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    • 2024
  • Within the metaverse platform, users engage in communication with others through 'avatars' reflecting their own identities. Users experience various virtual fashion items through avatars, and the fashion industry anticipates avatars wearing virtual fashion items as an emerging business opportunity. Many fashion brands are currently releasing virtual fashion items specifically designed for avatars. In this study, we examined the impact of user identification with their avatar on their perception of the attributes of virtual fashion items (investment attractiveness, scarcity, playfulness, and aesthetics) and its influence on behavioral intentions. The research involved a survey of 250 females with prior knowledge of the metaverse. Structural equation modeling analysis was conducted to examine research hypotheses and validate the model. The results confirmed that as users within the metaverse perceive greater identification with their avatar, they also perceive the attributes of virtual fashion items more favorably. This finding affirms the self-reference effect, where users positively evaluate objects associated with themselves. Additionally, perceiving the attributes of virtual fashion items was found to be positively linked to purchase intentions for virtual products and actual interest in the brand. Lastly, a higher intention to purchase virtual fashion items was associated with forming a more favorable attitude toward the respective brand. Consequently, this study provides academic and practical implications for marketing strategies within the metaverse, emphasizing the active utilization of avatars and elements that facilitate user-avatar identification for effective engagement.

The Influence of Fashion Product Purchase Criteria and Effects of Store Attributes Toward Shopping Satisfaction for Inbound Chinese Tourist in Korea (방한 중국관광객의 패션상품의 구매기준과 점포속성지각이 쇼핑 만족도에 미치는 영향)

  • Qin, Feipeng;Lee, Jin-Hwa
    • Fashion & Textile Research Journal
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    • v.16 no.4
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    • pp.554-563
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    • 2014
  • The purpose of this study was to investigate the purchase behavior, the level of shopping satisfaction for inbound Chinese tourists buying fashion products and the analysis of the influence of fashion product purchase criteria and effects of store attributes toward shopping satisfaction in Korea. Subjects were selected through convenient sampling technique in Incheon International Airport. A self-administered questionnaire was developed in Chinese by translation and back-translation method. Finally, 284 questionnaire out of 420 were used for data analysis. To analyze data, factor analysis, correlation analysis, regression analysis, etc. were carried out. A used statistical package was PASW 18.0. The analysis results were as follows. First, most of the repondents were women in 20s and 30s, who were purchasing fashion products more than other during the period of travel. Second, the product purchase criteria were identified as 'practicality', 'design and quality', 'memorabilia' and 'hallyu'. As the analysis results, shopping satisfaction was influenced by 'design and quality' and 'hallyu'. Thirdly, the effects of store attributes were identified as 'product', 'environment' and 'employees'. and customer's shopping satisfaction was influenced by all of those. By the end of this paper, For the purpose of achieving more competitive fashion products, the 4P marketing strategies targeting Chinese tourists were discussed based on the results.

Mobile app Loyalty of Cross-over Shoppers: A Comparison of Korean and Chinese (한·중 크로스오버 쇼퍼들의 모바일 앱 충성도에 대한 탐색적 연구)

  • Park, Eunjoo;Jin, Gu;Park, Shinyoung
    • Fashion & Textile Research Journal
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    • v.20 no.3
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    • pp.293-303
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    • 2018
  • Since 2009, consumers could access a new shopping channel called 'mobile shopping' with the generalization of smartphones. Mobile shopping (based on wireless communication technology), emphasizes convenience differentiated from internet shopping. A recent report introduced fashion products as powerful global drivers for mobile shopping sales. Korea and China have the highest percentage of consumer mobile shopping experiences compared to other countries. This study investigates the effects of cross-over shopping orientation, perception of app attributes, and flow on app loyalty that compared Korean and Chinese consumers. We obtained 652 usable questionnaires from two local college students; subsequently, data were analyzed by using factor analysis, Cronbach's alpha, and regression analysis using SPSS 21.0 Package. The study results showed that the cross-over shopping orientation affected perception of app attributes that included Review/Information, Design, Response and Product. Product only affected Flow, which reflected a high similarity between Korean and Chinese consumers. However, Korean and Chinese consumers showed remarkable differences in the factors related to app loyalty. Therefore, the results indicate that retailers of fashion products have developed strategies to improve mobile sales and increase the app loyalty of cross-over shopping orientation consumers.

Perceived Innovation Attributes and Acceptance of Chatbots as Determined by Consumer Characteristics (소비자 특성에 따른 챗봇의 인지된 혁신속성과 혁신수용)

  • JUNG, Jaehwan;BYUN, Sangwoon;KIM, Mi-Sook
    • The Journal of Industrial Distribution & Business
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    • v.10 no.7
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    • pp.39-48
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    • 2019
  • Purpose - The purpose of this study was to explore the impact of chatbots' innovation attributes on the innovation acceptance for consumers who have used chatbots to purchase fashion products that account for a large share of transactions in mobile shopping. Research design, data, and methodology - Data were collected from Korean consumers aged 20 to 49 who had experience using chatbots when purchasing fashion-related products via mobile circumstances. After a pilot survey of 31 customers, pre-questionnaire was revised for the final test, and the final questionnaire was distributed to 1,500 subjects. Out of these, 244 were retrieved. After excluding 48 inappropriate responses, 196 were used for statistical analysis. Frequency analysis, exploratory factor analysis, one-way ANOVA, regression analysis and independent t-test using SPSS 23.0 were employed for data analyses. Results - First, four factors of chatbots' attributes were extracted: relative advantages and compatibility, complexity, sensibility, and diversity. Second, two factors were extracted for fashion leadership: fashion opinion leadership and fashion innovativeness. Two groups based on the fashion leadership were identified: active innovation adopters and passive innovation adopters. Third, relative advantages and compatibility, diversity, sensibility of innovation attributes were found to have effects on the innovation acceptance in order. Fourth, significant differences were found in sensibility of innovation attributes and innovation acceptance in groups by marital status and age. The married in their 30s and 40s perceived sensibility as a more important attribute of chatbots than the unmarried in their twenties. Among the groups of different income levels, meaningful differences were found in diversity of innovation attributes and innovation acceptance. Fifth, there were significant differences found in relative advantages and compatibility, sensibility of innovation attributes, and acceptance of Innovation among the groups by fashion leadership. Active innovation adopters were found to be more aware of the importance of relative advantages and compatibility, and sensibility of innovation attributes, and innovation acceptance. Conclusions - The present study provides chatbots' marketing strategies for fashion items need to be modified by demographic characteristics and fashion leadership. Particularly, fashion leadership was found to be an important factor in determining the perception of innovation attribute as well as innovation acceptance.

Effects of Shopping Value, Fashionb Shopping Mall Attributes, Emotions and Purchasing Intention on Purchasing Behavior in Internet Fashion Shopping Malls (인터넷 패션 쇼핑몰에서 쇼핑가치, 인터넷 패션 쇼핑몰 속성, 감정 및 구매의도가 구매여부에 미치는 영향)

  • Park, Eun-Joo;Kang, Eun-Mi
    • Journal of the Korean Home Economics Association
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    • v.43 no.7 s.209
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    • pp.117-128
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    • 2005
  • The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

Attitude toward Fashion Cultural Products and Purchase Intention - A Comparison of American, Japanese, and Chinese Who Visited Korea - (패션문화상품에 대한 태도와 구매의도 -방한 미국인, 일본인, 중국인의 비교 연구-)

  • Cho, Yun-Jin;Lee, Yu-Ri
    • Journal of the Korean Society of Costume
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    • v.57 no.10
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    • pp.74-86
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    • 2007
  • An empirical study was conducted on fashion cultural products, targeting foreigners from diverse cultures. Its purpose was to identify foreigners' attitudes toward fashion cultural products of which design sources were derived from the Korean culture. The quantitative research using questionnaires was targeted at Americans, Chinese and Japanese who visited Korea. The questionnaires were back-translated into different languages for completion by the test subjects. Out of a total of 424 surveys returned, 393 were deemed usable. As a result of data analyses using SPSS 12.0 and AMOS 5.0, we found that: First, two attitude factors, the authenticity and aesthetic elements, exerted a significant effect on the intent to purchase. However, the last attitude factor, care and carriage convenience, did not significantly influence the purchase intention. Second, there was no significant difference in the attributes regarded as important when purchasing fashion cultural product between people from the U.S. and Japan. However, people from China showed differences in the attributes compared to the U.S. and Japan. Third, we found that attitudes toward fashion cultural products were different among respondents of three countries. It was revealed that the Chinese liked Korea's fashion cultural products the most, followed by Americans and Japanese. This research is significant because investigating foreigners' attitudes toward fashion cultural products for reaching out to a broader market abroad would contribute to help building an market entry planning.

A Study on Apparel Store Browsers′ Browsing Motives, Shopping Leadership and Preferred Store Attributes (의류점포 브라우저들의 브라우징 동기, 쇼핑 선도력 및 선호점포 속성에 관한 연구)

  • 정혜영
    • The Research Journal of the Costume Culture
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    • v.9 no.1
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    • pp.86-99
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    • 2001
  • The purpose of this study was to identify and profile store browsers in terms of their browsing motives, fashion behavioral characteristics, buying behavior and preferred store attributes. The data were collected through questionnaire from 302 female college students by convenient sampling method. Statistical analysis of factor analysis, x²-test, and t-test were performed in analyzing the data. The browsing motives of browsers were to obtains fashion information, sensory stimulation and diversion from routine life. They showed the high level of fashion involvement, shopping confidence, shopping innovativeness, shopping opinion leadership as well s fashion opinion leadership. Browsers tended to be impulse buyers and spent more money on clothing than non-browsers. The attributes that influence their store choice were the variety of products and brands, information availability ,and pleasant store atmosphere.

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Factors of Attitude and Purchase Intention toward Fashion Cultural Products with a Korean Image - Comparison of Korean and American Consumers - (한국적 이미지의 패션문화상품에 대한 태도 및 구매의도 영향요인 - 한국과 미국 소비자의 비교 연구 -)

  • Cho, Yoon-Kyung;Lee, Yu-Ri
    • Journal of the Korean Society of Costume
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    • v.59 no.4
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    • pp.54-66
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    • 2009
  • An empirical study was conducted on fashion cultural products with Korean image, targeting Korean and American consumers. Its purpose was to identify Korean and English consumers' attitude and purchase intention and to compare difference of its influence factor toward fashion cultural products of which design sources were derived from the Korean culture. The quantitative research using on-line questionnaires was targeted at American and Korean consumers. A total of 400 responses were used in the analysis. Results of data analyses using SPSS 13.0, are as following. First, for American consumers, uniqueness-seeking had a positive effect on attitude toward of cultural product with Korean image, followed by service of salespersons, change-seeking, and appearance of salespersons. For Korean consumers, easy accessibility was significantly related to attitude. Second, for American consumers, uniqueness-seeking and appearance of salespersons had a significant influence on the purchase intention of the cultural product with Korean image. For Korean consumers, no attributes were related to purchase intention. This research about fashion cultural products that will compete in the global market presents exploratory information targeting domestic and foreign consumers and will contribute to the strategic aspect of newly growing high-added-value industries.

Effects of Shopping Orientation and Store Attributes on Impulse Buying Behavior for Cosmeceuticals (기능성 화장품 충동구매행동에 대한 소비자 쇼핑성향과 기능성 화장품 점포속성의 영향)

  • Park, Eun Joo;Kim, Yu Mi
    • Fashion & Textile Research Journal
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    • v.17 no.6
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    • pp.932-941
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    • 2015
  • An aging population and increasing consumer demand for high-quality and innovative new products are key drivers for growth in the cosmeceutical industry. Cosmeceuticals are defined as products with biologically active ingredients that have a measurable effect on the user. This study explored the effects of shopping orientation and store attributes on impulse buying behavior for cosmeceuticals. We obtained 437 usable questionnaires from university students who had purchased cosmeceutical products. Data analysis was conducted using confirmatory factor analysis and structural equation modeling analysis via AMOS 18.0. The findings were: 1) hedonic shopping orientation and convenience shopping orientation had positive effects on product efficacy and promotion of the cosmeceutical store 2) brand shopping orientation had a positive effects on store atmospheric, skin care service, and brand of the cosmeceuticals store and 3) product efficacy and promotion of store attributes had a direct effect on impulse buying behavior for cosmeceuticals. Consumers who tended to enjoy the shopping to refresh themselves and to experience convenient shopping were likely to purchase cosmeceuticals impulsively, which mediated by the store attributes (product efficacy and promotion). Therefore, we confirmed partly causal relationships among the shopping orientation, store attributes, and impulse buying behavior of cosmeceuticals. Both managerial and theoretical implication for practitioners and researchers were discussed for managing product information more efficiently along with promotion strategies to trigger cosmeceuticals consumers in the context of shopping.

Sales Forecasting Model for Apparel Products Using Machine Learning Technique - A Case Study on Forecasting Outerwear Items - (머신 러닝을 활용한 의류제품의 판매량 예측 모델 - 아우터웨어 품목을 중심으로 -)

  • Chae, Jin Mie;Kim, Eun Hie
    • Fashion & Textile Research Journal
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    • v.23 no.4
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    • pp.480-490
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    • 2021
  • Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.