• 한국의류산업학회지
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• 제15권4호
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• pp.533-542
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• 2013

Fashion products are frequently purchased on impulse and are also one of the most popular product categories sold online. Online environment attributes can facilitate flow experiences that are described as an optimal psychological state reached during an engagement in activities (e.g., games and e-shopping). This study estimated the path model to examine the causal relationships among shopping mall attributes, flow, e-impulse buying, and consumer satisfaction for fashion products. A total of 598 usable questionnaires were obtained from college students who had purchased fashion products through the Internet. Data were analyzed by exploratory factor analysis, confirmatory factor analysis, and path analysis using SPSS 18.0 and AMOS 18.0. The results showed that e-shopping mall attributes (visual attributes and product attributes) significantly influenced e-impulse buying (fashion-oriented impulse buying and promotion-oriented impulse buying) which was mediated by the consumer flow experience and then influenced by consumer satisfaction. In the path model, the flow was stimulated by shopping mall attributes, the e-impulse buying was influenced by flow, and the consumer satisfaction was influenced by e-impulse buying. Flow was the most highly related to the fashion-oriented impulse buying, and followed by the relationship of the flow and promotion-oriented impulse buying in the context of e-shopping for fashion products. A managerial implication was discussed for fashion product e-retailers to develop strategies on visual attributes and product attributes that could stimulate and increase the consumer flow to trigger impulse buying as well as consumer satisfaction.

• 패션비즈니스
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• 제23권1호
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• pp.74-88
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• 2019

The purpose of this study is to explore university students' Hanbok rental behavior and to examine factors that influence their intention to rent Hanbok. Questionnaires were distributed in Universities in the Seoul metropolitan area, and the final 202 responses were used for data analysis. For data analysis, descriptive statistics, factor analysis, cluster analysis, t-tests, and multiple regressions analysis were used. Sixty-one percent of those who have experienced Hanbok rental said they rented Hanboks to experience tourism and 22 percent said they rented Hanboks to take pictures, and the main rental places are tourist attractions such as Jeonju Hanok Village. Respondents indicated that the design and color of Hanbok were important product attributes when they consider renting a Hanbok. They also indicated that the opinions of other users posted on the Internet/Social Network were their main source of information for Hanbok rental. The result of cluster analysis showed that there were two groups of Hanbok rental consumers based on clothing consumption values: novelty-seeking group and practicality-seeking group. The two groups were different in terms of few factors of the benefit sought of Hanbok rental, product attributes, and information sources. Regression analysis revealed that traditional culture perception, purpose-built Hanbok pursuit benefit, pragmatic pursuit benefit, attitude toward Hanbok, and the previous Hanbok rental experience significantly affected respondents' intention to rent Hanbok. Based on the results, this study summarizes the key features of each group and provides suggestion for developing strategic marketing activities.

• 한국산학기술학회논문지
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• 제20권9호
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• pp.279-289
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• 2019

2018년 연간 애완용품의 온라인쇼핑 거래액은 8,223억 원으로 4% 증가년 전과 비교하여 4배 이상 급증하였고, 반려동물과 관련된 지출액 중 반려동물 관련 패션잡화, 내구재 등에 대한 지출규모가 증가하고 있어 반려동물 용품시장은 성장세를 이어갈 것으로 보고 있다. 이러한 추세에 따라서 본 연구는 반려동물에 대한 애착도가 반려동물 용품 구매속성에 미치는 영향과 구매속성과 만족, 행동의도간의 영향관계를 확인함으로써 성장하는 반려동물 관련 시장에 마케팅적 시사점을 제공하고자 실시하였다. 반려동물을 키우고 있는 사람들 중 반려동물 용품(미용/목욕 용품)을 구매해 본 적이 있는 173명의 응답자를 대상으로 설문조사를 실시하여 SPSS 22.0과 AMOS 21.0을 이용하여 확인요인분석과 경로분석을 실시하였다. 분석 결과, 반려동물에 대한 애착도는 반려동물 용품 구매속성인 가격적절성, 품질, 디자인, 평판, 판매환경에 유의한 영향을 미치는 것으로 나타났다. 구매속성과 만족, 행동의도간의 관계에서는 구매속성 중 가격적절성, 품질, 판매환경은 만족에 유의한 영향을 미치나 디자인과 평판은 영향을 미치지 않는 것으로 나타났다. 만족은 행동의도에 유의한 영향을 미치고 있다. 이러한 연구결과를 통해 반려동물 용품 시장에서는 주인의 선호도에 따른 디자인이나 평판보다는 반려동물의 특성에 따른 제품품질과 가격적절성, 이용 및 접근이 용이한 판매환경을 고려해야 함을 알 수 있다.

• 한국의상디자인학회지
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• 제22권3호
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• pp.19-32
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• 2020

Recently, the luxury brand market has expanded from the 5060 market to the 2030 market segment due to diversification of distribution channels, an increase in income, and changes in consumption values. This change is attributed to the increase in sales of fashion accessory products, such as bags and wallets, thereby confirming the importance of the luxury brand fashion accessories market. However, there are few studies of the luxury brand fashion accessories market or brand loyalty for fashion accessories, which accounts for a large proportion of the overall luxury brand market. The purpose of this study was to develop and empirically test a theoretical framework that captures and compares the difference of impact of service quality, product attributes, and consumer satisfaction on luxury brand loyalty between the 20-30 market and the 5060 market of the fashion accessories market. Data was collected from 598 customers who purchased luxury brand fashion accessories by objective sampling. Structural equation modelling was used to test the hypotheses developed for the study. Results found evident effects of consumer satisfaction on luxury brand loyalty through the perception of service quality by consumers. Additionally, in the 2030 market, the fashion accessory attributes had little impact on consumer satisfaction and luxury brand loyalty, whereas in the 5060 market, it had a significant impact only on consumer satisfaction, but not on luxury brand loyalty. This is the first study to examine a structural equation model of luxury brand loyalty to compare the difference of the model between segmented markets, such as the 2030 market and the 5060 market of the luxury brand fashion accessories market. These results will contribute to a better understanding of the mechanism that underlie the operation of an effective luxury branding strategy for fashion accessories.

• 한국의류학회지
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• 제32권8호
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• pp.1274-1285
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• 2008

The purpose of this study is to investigate influences of perceived price dimensions and store attributes on store choice behavior. Three major retail formats, department store, discount store, and internet shopping mall in retail industry were compared with respect to store attributes and intention to purchase fashion products. Data were obtained from 427 consumers aged 25-49 years old. The results were as follows. (1) Multidimensional aspects of the price construct were identified: price-quality schema, prestige sensitivity, price mavenism, value consciousness, price consciousness, and sales proneness. (2) Store attributes included product assortment, quality per price (Q/P), service, and symbolic image in general. However, store attribute factors of three retail formats consisted of slightly different items. Department stores presented the highest level of mean scores on product quality, customer service, and symbolic images, while internet mall exhibited highest on product variety, information comparison, and quality per price. (3) Respondents presented high level of intention to purchase fashion products at internet mall, department store, and discount store in that order. (4) Purchase intention at department store was predicted by Q/P, service, symbolic image, prestige sensitivity, product assortment, clothing consumption, and age in order. Purchase intention at discount store was influenced by assortment & Q/P, symbolic image, clothing consumption, and sales proneness, whereas internet mall was predicted by product assortment, Q/P, service, price mavenism, and price-quality schema.

• 한국의류산업학회지
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• 제23권4호
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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.

• 벤처혁신연구
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• 제3권1호
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• pp.101-115
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• 2020

4차 산업혁명시대를 살고 있는 고객들은 구매 깔때기 안에 있는 것이 아니라 밖으로 나오기 시작했다. 풍부한 정보로 무장한 현명한 고객의 등장과 맞물려 제품 선택의 폭과 디지털 채널의 폭발적인 증가로 인해 정보를 탐색하고 구매하는 방식이 혁신적으로 변화되고 있는 것이다. 디지털 시대의 고객여정은 전통적인 깔때기 모형이 제시하는것보다 훨씬 복잡하게 되었다. 그래서 직선형이 아닌 다양한 상호작용을 하는 비선형적인 정교한 접근이 요구되어지고 있다. 기존의 많은 연구와 달리 본 연구는 패션, 자동차, 화장품, 온라인 쇼핑몰의 4개 상품군 이용고객 1,200을 대상으로 진행된 것으로 상품군에 상관없이 일반적으로 적용할 수 있는 디지털고객경험 속성을 도출하고 검정하였다. 디지털경험이 고객만족에 영향을 미치며, 최종적으로 구매에 영향을 미치는 일련의 과정 속에서 디지털 자기효능감이 구매에 어떠한 역할을 하는지를 규명하였다. 이론적 시사점으로는 디지털 자기 효능감을 조절된 매개변수로 도입하여 검정한 결과 고객만족도와 고객 충성도 간 디지털 자기효능감은 조절된 매개역할을 하는 것으로 검정 되었다. 실무적으로는 디지털 자기효능감이 높은 고객에게 디지털 마케팅을 적극적으로 활용할 필요가 있고다, 그러나 디지털 자기 효능감이 낮은 고객에게는 디지털 마케팅 피로도를 조심해야 할 필요가 있다는 시사점을 도출하였다.