• Fashion & Textile Research Journal
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• v.15 no.4
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.765-774
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• 2010

This study investigates the effects of consumer innovativeness on e-loyalty mediated by shopping mall attributes and consumer satisfaction with the Internet. Data were obtained from 243 consumers who had bought fashion products through online shopping. Data were analyzed by using factor analysis, Cronbach's alpha, and path analysis using LISREL 8.53 program. The results of this study suggest that the consumer innovativeness, such as Internet-innovativeness and Fashion-innovativeness affect shopping mall attributes including Loading, Visual, Information, Variety, and Price/Fashion. These attributes and the shopping mall satisfaction partially mediated the impact of consumer innovativeness on e-loyalty of shopping malls through the Internet. Especially, consumer satisfaction was the most important determinant to build up e-loyalty for the online shopping of fashion products. The findings provide implications for e-retailers to develop strategies related to consumer innovativeness, shopping mall attributes, and the e-loyalty of shopping malls for fashion products.

• Fashion & Textile Research Journal
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• v.18 no.2
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• pp.158-166
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• 2016

This study investigates the impact of fashion product attributes and mobile shopping mall attributes on impulse buying behavior and mobile shopping satisfaction. The findings provide new information to marketers on marketing strategy for mobile shopping malls. We obtained 283 usable questionnaires from college students. Data were analyzed by frequency analysis, correlation analysis, factor analysis using SPSS for Window 21.0 and confirmatory factor analysis and structural equation model analysis by AMOS 21.0. The results were as follows. The utility of fashion products attributes had the greatest impact on impulse buying behavior when buying fashion products in a mobile mall. Utility had a negative effect on impulsive buying behavior and exhibitionistic had a positive effect on impulsive buying behavior. Next, continuous management of mobile shopping mall attributes influenced impulse buying behavior. In addition, impulse buying behavior showed that the positive effect on satisfaction. Fashion product attributes had a greater impact on impulsive buying behavior than mobile mall properties when buying fashion products in the mobile mall; in addition, impulse buying facilitated customer satisfaction.

• The Journal of Fisheries Business Administration
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• v.49 no.2
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• pp.1-19
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• 2018

This study was targeted on the non-processed, semi-processed, and full-processed seafood to investigate the consumers' importance and satisfaction levels of purchase attributes for each seafood product. The present study conducted a survey on 335 randomly chosen seafood consumers. Respondents' importance-satisfaction scores of purchase attributes were measured. The results were as follows. The importance of purchase attributes was significantly higher than the satisfaction on 21 out of 23 attributes, according to the non-processed, semi-processed, and full-processed seafood(p<0.05). Consumers regarded intrinsic attributes such as 'freshness' of products as very important when purchasing non-processed seafood, and their satisfaction was also high. On the other hand, for semi-processed and full-processed seafood, external attributes such as 'date of manufacture or expiration date' were considered as more important attributes to purchase them. Consumers also perceived that full-processed seafood was less in quantity and more expensive than non-processed and semi-processed ones. In case of semi-processed seafood, the difference of importance-satisfaction score for 'taste' was large, and it was considered the taste should be improved according to consumers' taste.

• Korean Journal of Agricultural Science
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• v.38 no.1
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• pp.183-190
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• 2011

The paper is to analyze multi-attributes for expanding new renewable energy in agricultural sectors which have environmental, technical, economic, and social factors consisting of 15 attributes which have both positive and negative impacts. We applied the analytic hierarchy process (AHP) to data from opinion polls. As a result of the AHP survey, the overall results indicate that the respondents more weight on economical factor than environmental, technical, and social factors for expanding new renewable energy. At the lowest level, a comparison of individual 15 attributes within three factors shows that fixed cost highest in multi-attributes, followed by operating cost, technical superiority. To achieve the public acceptance about expanding new renewable energy in agricultural sectors, the policy-makers should take all relevant factors into account through the decision-making process by the public opinions.

• Journal of Korean Society for Quality Management
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• v.40 no.4
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• pp.589-598
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• 2012

Purpose: Determination of the importance values of quality attributes is very important to integrate the Kano model with QFD. A new method to determine the importance values of quality attributes is proposed. Methods: ASC(Average Satisfaction Coefficient) is proposed in order to determine the importance values of quality attributes. To evaluate the effectiveness of ASC, a case study of modern TV sets is conducted, and the performance of ASC is compared with direct importance evaluation and AHP pairwise comparisons. Results: The result of ASC application is similar with those of direct importance evaluation and AHP pairwise comparison. Conclusion: ASC is an effective instrument to determine the importance values of quality attributes. It doesn't need a cumbersome process like AHP pairwise comparison, and can be calculated using the data for the conventional Kano model.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.1
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• pp.65-73
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• 2013

FDB(Feature DataBase) attributes have been produced by using the resource data prior to the year 2002. Due to this reason, the attributes need to be updated to the up-to-date ones. In this regards, this study focuses on the way of finding areas whose attributes need to be updated. Forest and crop classes were chosen as target classes among FDB features. MODIS Landcover data and FDB are, first, compared to detect the changed forest and crop areas from 2001 to 2008. Then, vegetation vitality changes are analyzed using MODIS annual NDVI data. Based on the change detection and the vegetation vitality analysis, the index of area selection for updating FDB attributes is proposed in this study.

• Journal of Agricultural Extension & Community Development
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• v.18 no.3
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• pp.531-550
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• 2011

This study aims to examine the Visitor's selection attributes and types of preference regarding Rural Theme Village, and gather useful information for establishing differentiated marketing strategies suitable for market segments by the Visitor's selection attributes. In addition, it will contribute to securing competitiveness in providing Visitors with better service by extracting differentiating factors of Rural Theme Villages, and exploring the right direction of Rural Tourism. For the empirical analysis, the attributes were extracted based on the preliminary studies, and a survey was conducted among Visitors and users of Rural Theme Village to examine such factors as importance of selection attributes status, motives of using such Rural Theme Villages, demographic characteristics, and general features of the Rural Theme Villages.

• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.305-312
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• 2011

Kano model has been widely used to identify and classify customer attributes of a product or a service. The first step of Kano model application is the derivation of customer attributes, and brainstorming has been used conventionally for the purpose. A typical advantage of brainstorming is to get many ideas in a relatively short period, but the practicability of the derived ideas are known to be not so good. The derivation of good and practical ideas is important for the successful use of Kano model. Wish list, bug list and forced connection method as well as brainstorming were applied to PMP(Portable Multimedia Player) in order to derive customer attributes. To compare the idea generation methods, the derived attributes are classified and compared using Kano model.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.484-498
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• 2009

The purpose of this study is to explore the applicability of QFD to product development of clothes by empirically applying it to development of a specific clothes, middle and elderly women’s formal knitwear. The voices of customers(VOCs) for formal knitwear was collected through in-depth interviews with 25 customers, shop masters, and designers. Also, questionnaires of which respondents were 230 customers were used to rank the importance of the items of VOC. A QFD team of 10 knitwear experts implemented the task of translating VOCs into design attributes and measuring the values of the relationships between VOCs and design attributes. Importance ranking of the items of design attributes was obtained based on Lyman's method. The results of this study were as follows. First, the customer requirements for formal knitwear were classified into five dimensions, that is, symbolism, aesthetic, fitness, usefulness, and maintenance. Second, the descending order of the necessity of improving the quality was maintenance, aesthetic, fitness, usefulness, and symbolism. Third, three-staged design attributes were obtained as a result of translating of VOCs into design attributes. Lastly, the descending order of the importance of design attributes was "sorts of yarn", "sorts of color jacquard", "color", "tone", "ease", etc.