• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.191-197
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• 2008

Despite increasing consumption of luxury brands, research about consumption of luxury brands is limited.The purpose of this article is to gain a deeper understanding of important role of intrinsic consumption motivations in consumption of luxury brands. This article investigated the relationships among consumption motivations, conspicuous consumption belief, Product quality belief, and attitude toward consumption of luxury brands using structural equation modeling. The results reveal that, other-oriented consumers were likely to have strong conspicuous consumption belief,whereas consumers with strong self-oriented value tended to place more importance on product quality attribute of luxury brands. Moreover, Consumers who take into account extended-self tended to have strong conspicuous consumption belief while consumer who put more importance on experientialism were more likely to have greater importance on product quality atthbute. And both conspicuous consumption belief and product quality belief influenced positive attitude formation toward luxury brands.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.155-174
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• 2005

Parametric life-cycle cost(LCC) models have been integrated with traditional design tools, and used in prior work to demonstrate the rapid solution of holistic, analytical tradeoffs between detailed design variations. During early designs stages there may be competing concepts with dramatic differences. Additionally, detailed information is scarce, and decisions must be models. for a diverse range of concepts, and the lack of detailed information make the integration make the integration of traditional LCC models impractical. This paper explores an approximate method for providing preliminary life-cycle cost. Learning algorithms trained using the known characteristics of existing products be approximated quickly during conceptual design without the overhead of defining new models. Artificial neural networks are trained to generalize on product attributes and life cycle cost date from pre-existing LCC studies. The Product attribute data to quickly obtain and LCC for a new and then an application is provided. In additions, the statistical method, called regression analysis, is suggested to predict the LCC. Tests have shown it is possible to predict the life cycle cost, and the comparison results between a learning LCC model and a regression analysis is also shown

• Archives of design research
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• v.12 no.4
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• pp.161-170
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• 1999

In recent days, consumer's product selection various with diverse life style, not simply with income class. This in why diversified demand and diversified products appear in every industry, which means the success or failure of business relies on tis ability to yield the best productivity under the condition of diversification. The purpose of this study is to discuss how an automaker can create its unique identity and brand image in automobile industry and what's brand role and value, under the recognition that clarifying a target market in development process is indispensable to developing a product of higher marketability. By building and applying a product of higher marketability. By building and applying a brand-unique consistent design identity, it's intended to meet the increasing requirements of product attribute for symbolism or sensitivity so as satisfy or exceed customer expectation.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.789-809
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• 2020

Growth in online channels has created fierce competition; consequently, retailers have to invest an increasing amount of effort into attracting consumers. In this study, eye-tracking technology examined consumers' visual behavior to gain an understanding of information searching behavior in exploring product information for fashion products. Product attribute information was classified into two image-based elements (model image information and detail image information) and two text-based elements (basic text information, detail text information), after which consumers' visual behavior for each information element was analyzed. Furthermore, whether involvement affects consumers' information search behavior was investigated. The results demonstrated that model image information attracted visual attention the quickest, while detail text information and model image information received the most visual attention. Additionally, high-involvement consumers tended to pay more attention to detailed information while low-involvement consumers tended to pay more attention to image-based and basic information. This study is expected to help broaden the understanding of consumer behavior and provide implications for establishing strategies on how to efficiently organize product information for online fashion stores.

• The Research Journal of the Costume Culture
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• v.30 no.2
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• pp.243-261
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• 2022

The purpose of this study was to identify beauty influencer attributes on Instagram and their impact on product attitude and purchase intention and on influential difference between micro and mega influencers. The survey was conducted using a consumer survey method with a questionnaire, and the subjects of the survey were 506 women in their 20s and 30s using Instagram. The results of the study are as follows: First, a range of influencer attribute sub-factors were derived in relation to expertise, attractiveness, similarity, reliability, and intimacy. Second, the attributes highly impacted product attitude in the increasing order of attractiveness, similarity, reliability, and familiarity, with expertise having no statistically significant influence. Third, the consumer's attitude toward the product introduced by the beauty influencer had a significant impact on their purchase intention. Fourth, it was shown that there is no difference in attributes according to the influencer's number of followers. Fifth, the number of followers of the beauty influencer had a partial impact on attitude and purchase intention. A limitation of this study is that age and gender samples are narrow, but it is nevertheless meaningful to explore this topic in the absence of research on beauty influencers. It is believed that these findings will serve as a foundation for the development of beauty influencer marketing strategies on Instagram.

• Asia Marketing Journal
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• v.22 no.1
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• pp.61-79
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• 2020

This research examines how processing type and alignability moderate the effect of product type on satisfaction (i.e., happiness). It is well known that there are two types of processing-deliberative and intuitive processing. Based on the previous literature that the intuitive processing is compatible with experiential purchases and the deliberative processing is fit with material purchase, the current research demonstrates that processing type moderates the effect of product type on happiness. Moreover, we hypothesize that alignability moderates the effect of product type on anticipated satisfaction. As expected, participants in the intuitive processing condition reported greater happiness from their experiential purchases than material purchases. However, in the deliberative processing condition, there was no significant difference between happiness levels from material and experiential purchases. Furthermore, when the attributes of choice options were presented in a non-alignable manner, participants reported greater anticipated satisfaction from experiential purchases than from material purchases. However, this difference disappeared when attributes were presented in an alignable manner. Finally, we propose 'choice process' satisfaction as a potential mediator of the moderating effect of processing type on the relationship between product type and (anticipated) satisfaction.

• The Journal of Society for e-Business Studies
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• v.9 no.4
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• pp.19-36
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• 2004

This paper suggests a business process between the collaborative companies that want to extend globally sales and delivery service with restricted physical branches in their own areas. The companies integrate their business processes for sales and delivery services using a shared product taxonomy table. In order to perform the collaborative processes, they need the algorithm to exchange their own products. We suggest a similar product finding algorithm to compose the product taxonomy table that defines product relationships to exchange them between the companies. The main idea of the proposed algorithm is using a multi-attribute decision making (MADM) to find the utility values of products in a same product class of the companies. Based on the values we determine what products are similar. It helps the product manager to register the similar products into a same product sub-category. The companies then allow consumer to shop and purchase the products at their own residence site and deliver them or similar products to another sites.

• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.196-211
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• 2007

In the Product Line Engineering (PLE), current studies about an analysis of the feature have uncertain and ad-hoc criteria of analysis based on developer’s intuition or domain expert’s heuristic approach and difficulty to extract explicit features from a product in a product line because the stakeholders lack comprehensive understanding of the features in feature modeling. Therefore, this paper proposes a model of the analyzing commonality and variability of the feature based on the Ontology. The proposed model in this paper suggests two approaches in order to solve the problems mentioned above: First, the model explicitly expresses the feature by making an individual feature attribute list based on the meta feature modeling to understand common feature. Second, the model projects an analysis model of commonality and variability using the semantic similarity between features based on the Ontology to the stakeholders. The main contribution of this paper is to improve the reusability of distinguished features on developing products of same line henceforth.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.122-132
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• 2019

This study investigated the effects of preference reversal according to product characteristics and situation. To investigate the relationship between consumer preference reversal and selection change, three research problems were set up and multiple logistic regression analysis was performed considering categorical dependent variables. The results showed that the decrease in preference for the medical service products and general manufacturing products had a significant effect on selection change and selection delay. In addition, we found that selection change according to the importance of attributes in the medical service product was more sensitive than the general product, while selection change according to the preference reversal was higher in general products. This study examined the causal relationship between choices by illuminating the preference concept as the central value of consumers from a different viewpoint than the existing preference and preference inversion research. In addition, the results of this study suggest that it can include not only selective change according to preference reversal, but also alternatives such as selective delay.

• Asia Marketing Journal
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• v.10 no.2
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• pp.125-151
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• 2008

Both companies and consumers are highly interested in on-line customer reviews which enable consumers to share their experience and knowledge about products. In this study, after classifying real reviews into context units and deriving categories, we analyzed differences between categories based on channel(manufacturers' homepage/ shopping mall), product attribute(search/experience) and price(high/low). The method to derive categories is based on roughly adopting constructs of ACSI model and elaborate and repetitive classification of real reviews. We set up the classification category with 3 levels. Level 1 consists of product and service, level 2 consists of function, design, price, purchase motive, suggestion/user-tip and recommendation/repurchase in product and AS/up-grade and delivery/others in service and level 3 is composed of details of level 2 of category. We could find remarkable differences between channels in all 8 items of level 2 of category. As the number of context units in homepage is more than in shopping mall, we found reviews in homepage is more concrete. Moreover, overall satisfaction in review was higher at homepage's. Also, in product attribute dimension, we found different patterns of reviews in design, purchase motive, suggestion/user-tip, recommendation/repurchase, AS/up-grade and delivery/others and no difference in overall customer's satisfaction. In price dimension, we found differences between high and low price in design, price and AS/up-grade and no difference in overall customer's satisfaction.