스마트 의류에 대한 혁신기술수용모델(TAM)의 확장

채진미 ( Jin Mie Chae ) 대한가정학회 2009 Family and Environment Research Vol.47 No.4

쇼핑가치, 사용용이성, 유용성이 모바일 구매의도에 미치는 영향

채진미 ( Jin Mie Chae ) 한국감성과학회 2017 감성과학 Vol.20 No.2

The purpose of this study was to investigate the influence of consumers` shopping value(SV), ease of use(EOU), and usefulness(U) on their purchase intention(PI) in mobile shopping mall. Path hypotheses in structural equation model which was constructed for this purpose were verified. In addition, the research model was analyzed according to the groups classified by the level of purchase experience in mobile shopping mall. The survey was limited to the respondents in their 20s and 30s living in Seoul and other metropolitan areas who had purchased fashion products in mobile shopping mall. 411 useful data collected from on-line survey were analyzed by descriptive statistics, exploratory factor analysis, confirmatory factor analysis, reliability analysis, and pearson`s correlation analysis using SPSS 21 and AMOS 19. The results of verifying the hypotheses were as follows: First, SV was composed of two factors which included hedonic shopping value(HSV) and utilitarian shopping value(USV). Second, the research model was verified as an acceptable model in explaining the influence of consumers` SV, EOU, and U on PI. Third, seven hypotheses among nine hypotheses were accepted in high purchasers. HSV did not have a significant influence on PI, and EOU did not affect PI significantly. Fourth, five hypotheses were accepted in light purchasers. HSV affected U significantly while USV had a significant impact on EOU and PI. EOU affected U, and U affected PI significantly. In conclusion, USV was proven to be the factor affecting PI directly as well as indirectly. Eou and U also had a significant influnce on PI in mobile fashion shopping. These results will provide mobile marketers with the differentiated strategies to make consumers lead to mobile purchase.

혁신기술수용모델의 관점에서 고찰한 MP3-playing 의류와 생체신호 센싱 의류의 수용도

채진미 ( Jin Mie Chae ),조현승 ( Hyun Seung Cho ),이주현 ( Joo Hyeon Lee ) 한국감성과학회 2009 감성과학 Vol.12 No.3

An analysis was carried out for this study to figure out if there exists any differences in the model consumers accept for commercialized MP3-playing clothing and bio-signal sensing clothing. To analyze the differences of the structural variables of the products types, t-test was conducted with SPSS 15.0 package and multi-group analysis with AMOS 5.0 to find out the differences of each path goes with product types in structural equation model. In analytical results of effective sample of 557 copies of questionnaire, consumers` were highly aware of MP3-playing clothing in perceived ease of use, while they were aware relatively high of bio-signal sensing clothing in perceived usefulness, attitudes, consumer acceptance. The perceived value which was input to find out consumers awareness about sale price of commercialized products, was proven to do very important moderating role in forming consumers` attitudes and acceptance intention. Besides, consumers showed a difference in path in accepting model goes with product types. In bio-signal sensing clothing case, `the perceived usefulness→attitudes` path which was backed up in MP3-playing clothing was rejected, and `perceived value→attitudes` path appeared relatively high with moderating role of perceived value higher than MP3-playing clothing. Considering the results above, as the smart clothing is in the initiative commercialization stage while consumers were in the inquiry stage into awareness or information necessary in the course of purchase decision-making, and so an effective commercialization strategy seems to be necessary.

상용화된 스마트 의류제품에 대한 소비자의 수용도

채진미 ( Jin Mie Chae ),조현승 ( Hyun Seung Cho ),이주현 ( Joo Hyeon Lee ) 한국감성과학회 2009 감성과학 Vol.12 No.2

The purpose of this study was to explain the attitudes and acceptance toward the smart clothing adopted by the TAM(Technology Acceptance Model). A theoretical model on consumer acceptance of the commercialized smart clothing was constructed on the basis of previous studies and a review of literature and tested the path analysis. For the data analysis, statistical methods of confirmatory factor analysis, correlation, and covariance structural analysis using AMOS 5.0 package were employed. The results from a web-based survey of 557 online consumers indicate that the TAM by Davis(1989) adopted by perceived value according to market price was able to explain consumer acceptance of smart clothing substantially well. Using structural equation modeling, eight of the six hypotheses investigated in this study were supported. The results of the testing of the hypothesis were as fellows: First, perceived ease of use had a side effect on attitude through perceived usefulness. In addition, the attitude was found to affect consumer acceptance. Second, perceived usefulness was found to affect consumer attitude on perceived value, however, had not significant effect on consumer acceptance toward smart clothing. Third, perceived value was found to affect both consumer acceptance and attitude toward smart clothing. Finally, the attitude toward smart clothing had a direct effect on the consumer acceptance.

인터넷 쇼핑몰 소비자의 관계혜택 지각이 관계의 질과 충성도에 미치는 영향

채진미 ( Jin Mie Chae ) 한국의류산업학회 2013 한국의류산업학회지 Vol.15 No.3

The purpose of this study is to investigate the effect of consumer`s relationship benefit perception on consumer`s relationship quality and loyalty in internet shopping mall. The survey was limited to the respondents over 20 years old living in Seoul and other metropolitan areas who had purchased fashion products in internet shopping mall. Questionnaire was collected from November 1, 2011 to November 12, 2011. The structural equation model was constructed to verify hypotheses and 562 useful data were analyzed using SPSS 17.0 and AMOS 19. The results of this study were as follows: First, consumer`s relationship benefit perception was classified into economic benefit, psychological benefit, and informational benefit. Second, economic benefit and psychological benefit had a significantly positive effect on consumer`s satisfaction and trust. Also both benefit dimensions showed a stronger effect on satisfaction than on trust. Third, informational benefit showed a significantly positive effect only on trust. Finally, consumer`s satisfaction affected loyalty via trust more strongly than consumer`s satisfaction affected loyalty directly. It suggested that internet shopping mall marketers need to provide the strategic method to make consumers have a trust for the internet shopping mall.

모바일 패션 쇼핑 특성이 소비자의 구매의도에 미치는 영향 - 기술수용모델(Technology Acceptance Model)을 적용 -

채진미 ( Jin Mie Chae ) 한국의류산업학회 2016 한국의류산업학회지 Vol.18 No.1

This research analyzes the influence of mobile commerce characteristics on consumer``s purchase intention using a theoretical Technology Acceptance Model (TAM) constructed on previous studies and a review of the literature to explain the effect of mobile fashion shopping characteristics on consumer’s purchase intention. In constructing structural equation model, Mobile commerce characteristics variables such as ‘security’, ‘enjoyment’, and ‘personalization’ were selected as external variables affecting TAM. A questionnaire was distributed to consumers in their 20``s-30``s who had purchased fashion products using a mobile shopping channel. Statistical methods of confirmatory factor analysis, correlation, and covariance structural analysis using Amos 19.0 package were employed for the analysis of 453 effective data responses. The results were as follows. First, extended TAM was shown be the appropriate model to explain the influence of mobile commerce characteristics on consumer``s purchase intention in mobile fashion shopping. Second, ‘security’ had a significant positive influence on perceived usefulness (PU), however it affected perceived ease of use (PEOU) negatively. Third, ‘enjoyment’ had a significant influence only on PEOU, while ‘personalization’ was found to affect both PEOU and PU significantly. Fourth, PEOU affected PU significantly. Finally, both PEOU and PU had a significant influence on consumer``s purchase intention.

머신 러닝을 활용한 의류제품의 판매량 예측 모델- 아우터웨어 품목을 중심으로 -

채진미 ( Jin Mie Chae ),김은희 ( Eun Hie Kim ) 한국의류산업학회 2021 한국의류산업학회지 Vol.23 No.4

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.

패션 쇼핑성향 유형별 모바일 커머스 특성 인지가 구매의도에 미치는 영향

채진미(Chae, Jin Mie) 한국전시산업융합연구원 2015 한국과학예술융합학회 Vol.20 No.-

모바일 폰 보급의 확대와 더불어 모바일 폰을 이용한 패션제품의 구매가 나날이 증가하고 있고, 특히 20-30대의 사용이 많은 것으로 나타나고 있다. 그러므로 모바일 쇼핑경험이 있는 20-30대 남녀 소비자들을 대상으로 패션제품 구매시 나타내는 전반적인 쇼핑성향을 분석하고 집단을 유형화한 후, 집단별로 인지하고 있는 모바일 커머스 특성요인을 분석하고 이어서 모바일 커머스 특성요인이 구매의도에 영향을 미치는지를 밝히고자 하였다. 인터넷 리서치 전문업체의 패널을 이용하여 453부의 표본을 수집하였고, SPSS 20.0을 이용하여 요인분석, K-군집분석, 분산분석, Duncan의 사후검증, 신뢰도분석, 카이자승 분석, 다중회귀분석, 빈도분석을 시행하였다. 분석결과는 다음과 같다. 첫째, 20-30대 남녀 소비자들의 패션 쇼핑성향에 따른 유형화 결과 ‘패션무관심형’, ‘실용적 쇼핑형’, ‘쾌락적 브랜드추구형’, ‘패션관심형’의 4개의 군집이 도출되었다. 둘째, 모바일 커머스 특성요인으로는 ‘유희성’, ‘개인적 편의성’, ‘보안성’의 3요인이 도출되었고 ‘쾌락적 브랜드추구형’이 모든 모바일 커머스 특성요인을 가장 높게 인지하고 있었으며, ‘패션무관심형’은 가장 낮게 인지하는 것으로 나타났다. 셋째, ‘패션무관심형’ 을 제외하고 모든 집단에서 ‘유희성’과 ‘개인적 편의성’이 구매의도에 유의한 영향을 미치는 것으로 나타났고, ‘보안성’은 유의하지 않았다. ‘패션 무관심형’에서는 유희성만이 유의한 영향을 미치는 것으로 밝혀졌다. The purpose of this study is to find out the effect of mobile commerce characteristics on consumers" purchase intentions. First, consumers in their 20"s-30"s who have purchased fashion products using mobile shopping channel are classified in terms of their general fashion shopping orientation. Secondly, mobile commerce characteristics are identified according to each consumer group. Thirdly, the effect of mobile commerce characteristics on consumers" purchase intentions for each consumer group is analyzed. 453 data are analyzed by factor analysis, cluster analysis, ANOVA. Duncan"s multiple range test, multiple regression, and chai-square test. The results are as follows. Consumers in their 20"s-30"s are categorized into "Non fashion interested group", Hedonic brand pursuit", "Frugal shopping group", and "Fashion interested group". According to result of factor analysis for mobile commerce characteristics, three factors are identified including "Enjoyment", "Personalize convenience", and "Security". Also "Enjoyment" and "Personalize convenience" significantly affect consumers" purchase intentions in every consumer groups except "Non fashion interested group".

티셔츠 상품의 판매패턴과 연관된 상품속성

채진미 ( Jin Mie Chae ),김은희 ( Eun Hie Kim ) 한국의류학회 2020 한국의류학회지 Vol.44 No.6

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

스마트 의류제품 유형에 따른 확장된 혁신기술수용모델

채진미(Chae, Jin Mie) 한국생활과학회 2010 한국생활과학회지 Vol.19 No.2