• Journal of the Korean Society of Costume
• /
• v.59 no.6
• /
• pp.16-28
• /
• 2009

This study examined relationship among fashion product attributes of schoolbag, product satisfaction and repurchase intention. Total 315 questionnaires were distributed to the female/male students in Daegu and GyeongJu. Frequency analysis, factor analysis, reliability analysis, multiple regression were conducted using SPSS 13.0K statistics program as data analysis. The independent sample t-test was also conductd to examine the differences among sex, domicile, middle and highschool students. The findings hum the analysis are described in the following: First, female students is higher subjective fashion product attributes(fashion, individuality, refined) and objective fashion product attributes(design, color) importance than male students in purchasing schoolbag. High school students is higher subjective fashion product attributes(fashion, individuality) and objective fashion product attributes(brand, color) importance than middle school students in purchasing schoolbag. Second, product satisfaction are positive influenced by practicality and individuality of subjective fashion product attributes. Product satisfaction are not influenced by fashion and refined of subjective fashion product attributes. Third, product satisfaction are positive influenced by brand and design of objective fashion product attributes. Product satisfaction are not influenced by price and color of objective fashion product attributes. Forth, repurchase intention in schoolbag are strong positive influenced by product satisfaction.

• The Research Journal of the Costume Culture
• /
• v.22 no.1
• /
• pp.143-157
• /
• 2014

The aims of this study were to identify the dimensions of both store and PB apparel product attributes at large discount stores, and to empirically examine the effects of each dimension of store and PB apparel product attributes on satisfaction with PB apparel products and on repurchase intension. Questionnaires were given to 264 large discount store customers, who have experienced buying PB apparel products at large discount stores. The results were as follows. First, purchased PB items and image, improvement of PB apparel products showed differences by gender. Second, the dimensions for store attributes were categorized as convenient of shopping environment, product quality, customer service, advertising reach, convenient location, and reasonable prices. The PB apparel product attributes were categorized as material handling management, quality, fashion ability, and brand power. Third, generally, both store and PB apparel product attributes at large discount stores are significantly related to PB apparel satisfaction and repurchase intention. PB satisfaction and repurchase intention of males were partly affected by store attributes and PB apparel product attributes. PB satisfaction and repurchasing intention of females, however, were partly affected by only PB apparel product attributes, not store attributes.

• Journal of the Korean Society for Precision Engineering
• /
• v.33 no.5
• /
• pp.349-356
• /
• 2016

This study investigates the effects of convergence firefighter helmet attributes on consumer attitude toward the product and willingness-to-pay. The results of empirical analysis are as follows. First, consumer attitude toward the convergence product is more favorable when conciseness, economical efficiency, and the utility value of the convergence product's attributes are high, while consumer attitude toward the convergence product is less favorable when the perceived risk of the convergence product's attributes is high. Second, consumer willingness-to-pay for the convergence product is higher when conciseness, economical efficiency, and the utility value of the convergence product's attributes are high, while consumer willingness-to-pay for the convergence product is lower when the perceived risk of the convergence product's attributes is high. Based on our results, the implications are discussed for the further development of convergence products.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.26 no.8
• /
• pp.1128-1140
• /
• 2002

As consumers' alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type are important to retailers and marketers for building a successful merchandising and marketing strategies. Most of the previous researches in store selection and patronage assume consumer behavior as single store patronage, and thus relatively little is known about patronage mix behavior. Also, little attention has been given to product characteristics as an important variable in store patronage behavior. The purposes of this study were to determine the effects of product characteristics in consumers patronage mix behavior. In this study, a theoretical model including product characteristics as an intervening variable between store attributes and patronage behavior was developed. A Questionnaire was developed and data were collected form 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVA, Duncan test and discriminant analysis were employed to analyze the data. As a result, the suggested model was partially verified. First, the product characteristic was found to have an effect on perceived importance of store attributes and on determinant attributes of stores. Consumers were found to use different evaluative criteria for store attributes when they purchase different product types. Second, the perceived importance of store attributes was determined by consumer characteristics as well as product characteristics. Third, the determinant attributes in store selection were affected not only by the perceived importance of store attributes but also by the type of product to be purchased.

• The Journal of Information Technology and Database
• /
• v.3 no.1
• /
• pp.45-63
• /
• 1996

This paper presents an integrated object-oriented database approach for managing the evolution of products in agile manufacturing environments, Schema evolution modification facilities are provided to support full potential versioning of type definitions. All of the possible versions for a composite product are not explicitly represented to avoid version proliferation. However, valid configurations of any composite products can be provided to comply with customer demands, The attributes of composite products are classified in order to provide well-defined representation scheme for composite products and to be exploited in version control. The attributes are partitioned into composite-related and non composite-related categories. Composite-related attributes consist of subproducts and description ones. Subproducts attributes represent physical constituents of a composite product. Description attributes represent external features, assembling, and correspondence property. Interface attributes are introduced for managing configurability and version propagation. Version derivations due to the changes to the interface attributes are propagated toward the product composition hierarchy, The validity of configurations of composite products is checked by using configurability maps. Instance objects which represent the actual product instances are stored and manipulated in the database in order to support traceability during product life cycle.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.44 no.6
• /
• pp.1053-1069
• /
• 2020

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.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.36 no.8
• /
• pp.802-813
• /
• 2012

This study establishes how the clothes consumption value, need for uniqueness, and use information sources could influence the importance of apparel product attributes and the importance of store attributes. Data were collected through a survey of adults in their 20's and 30's with 48 questionnaires for statistical analysis. The collected data were processed with the programs AMOS 16.0 and SPSS 18.0 for windows and reliability analysis, correlation analysis, factor analysis, and structural equation analysis were conducted to analyze the data. The results in this research are follows. First, the clothes consumption value influences the importance of apparel product attributes both directly and indirectly and the importance of store attributes indirectly through use information sources. Second, the need for uniqueness influences the importance of apparel product attributes indirectly and importance of store attributes both directly and indirectly through clothes consumption value and use information sources. The implications of these findings and suggestions for future study are also discussed.

• Design Convergence Study
• /
• v.15 no.2
• /
• pp.333-345
• /
• 2016

Recently, an intelligent product in which information and robotic technologies are applied to an existing common product, called a mother product has been developed. In order to develop intelligent products which could be accepted by users, various intelligent product design methods have been introduced considering various interaction aspects or intelligent parts to be made. However, as an intelligent product is originated in a mother product, intelligent product design methods based on product attributes need to be explored. In this study, the impact of intelligent product types by product attributes on users' acceptance was investigated by comparing hedonic intelligent products and utilitarian intelligent products. An experiment was executed with child slippers as a case. As a result, participants evaluated utilitarian intelligent products more positively than hedonic intelligent products. They showed higher purchase intention and willingness to pay toward utilitarian intelligent products than hedonic intelligent products. In the case of child slippers, even though the hedonic attributes could be expected as they are child products, utilitarian attributes were perceived as much more important than hedonic attributes as the child slippers are related to the floor noise which is a severe social problem.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.30 no.5 s.153
• /
• pp.818-828
• /
• 2006

The purpose of this study was to clarify differences in the product attribute evaluation in relation to the objective knowledge, subjective knowledge and involvement of apparel. The measurement instruments were developed by researcher on the basis of previous studies in the same field. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and quota sampling using age and residential areas was employed. The data were obtained from 603 questionnaires. Data were statistically analyzed using SPSS 10 and LISREL 7.0. Major statistical methods were factor analysis, Cronbach's a coefficient, multiple regression analysis, and structural equation model analysis. The results were as follows: 1. Involvement was related to the consumer knowledge and the knowledge influenced evaluation of intrinsic attributes, social attributes, and economic attributes. 2. The dimensions of objective knowledge significantly influenced intrinsic attributes and economic attributes. The dimensions of subjective knowledge significantly influenced intrinsic attributes, social attributes and economic attributes. 3. Apparel involvement significantly influenced intrinsic attributes, social attributes and economic attributes. Consumers who have higher interest in apparel product but not in trends considered intrinsic attributes more importantly, whereas consumers who care trends considered social attribute more.

• Fashion & Textile Research Journal
• /
• v.18 no.1
• /
• pp.27-37
• /
• 2016

This study examined consumer perceptions towards outdoor wear differentiation and product attributes for outdoor wear differentiation to develop an outdoor wear differentiation strategy. It also investigated how consumer's evaluated product attributes according to consumer's demographic characteristics. Data were acquired from a survey of 454 adult respondents aged over 20 that was analyzed with descriptives, frequency, t-test, one-way ANOVA, factor analysis, and reliability. The results were as follows. First, it showed that consumers did not have a positive or a negative perception toward outdoor wear differentiation, and they thought outdoor wear should be differentiated. Those married and older tended to think that outdoor wear should be differentiated more than that for those single and younger. Consumer evaluations were significantly different on the necessity of outdoor wear differentiation according to age and total income. Second, consumers assessed that color, pattern and textiles had similar characteristics among outdoor wear brands; in addition, brand recognition and brand image had very different characteristics. Third, product attributes for outdoor wear differentiation were service and store, product quality, brand and popularity, and product designs with mean values of product quality, product design, service and store, and brand and popularity, respectively. Fourth, consumers were significantly different in the importance assessment of product attributes for differentiation according to gender, marital status and age.