• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.315-320
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• 2023

Covid-19 is rapidly changing the global society. In particular, as the online connected world has become more important in recent years, new communication methods such as VR, AR, and metaverse have emerged as global trends. As social interest in technologies such as metaverse, blockchain, and NFT continues to grow, this study aims to understand the concept of NFT, which is being illuminated as a global trend keyword, and to examine the current status of the global fashion industry. As a result of examining NFT application cases of fashion brands that have grown rapidly since Covid-19, the use of NFT in the global fashion industry can be largely classified into three categories - Collection and Investment Type, Game Type NFT, Marketing and Event Type NFT. Based on this, We expect that this study will be used as basic data to actively utilize NFT, which is still in its infancy, to prepare a plan to revitalize the domestic fashion industry.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.2
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• pp.87-93
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• 2010

The partial least squares (PLS) method is popularly used for estimating the structural equation model, but the existing algorithm may not be directly implemented when probabilities are involved in some constructs or manifest variables. We propose a structural equation model including the brand choice as one construct having brand choice probabilities as its manifest variables. Then, we develop a PLS-based algorithm for the structural equation model by utilizing the multinomial logit model. A case is introduced as an application and simulation studies are performed to validate the proposed algorithm.

• Journal of Fashion Business
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• v.14 no.6
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• pp.134-145
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• 2010

The purpose of this study is 1) to investigate the contents of fashion brand applications and what differences and 2) to scrutinize the reviews of the applications uploaded on the app store in order to suggest strategies on how to apply them to fashion. For the study, twenty-nine free applications from different categories of the fashion brands and three hundred sixty-two reviews of these applications were investigated. The analysis of the study was conducted from June 20th to November 10th of 2010. The results showed that there are four important components for fashion brand applications: conventional information (product information and store information), the purchasing function, the fun element (social networking, blogging, music etc), and the augmented reality technique. These components are formulated based on the brand's marketing strategies. In order to know whether or not these components were successfully composed, user reviews were studied, which revealed that many users were satisfied, but the applications were insufficient to meet all of their needs.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.1
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• pp.69-87
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• 2013

Recently a large number of people have been using social networking and microblogging services such as Facebook and Twitter. These mediums play a pivotal communication channel in a business-to-customer (B2C) relationship. Given its importance in today's business, companies have invested in the strategic application of social network services to reach out to customers. This study provides a blueprint for mechanisms for successful execution of social network services in the context of developing an effective B2C relationship, such as customer participation behavior. The S-O-R(Stimulus-Organism-Response) framework lays out the foundation for developing our research model and provides a structured view for understanding customer participation behavior on brand loyalty. For the methodology, this study employed a mixed-method approach. Additionally, in order to provide empirical evidences, a total of 121 respondents have completed the survey. All the data were compiled and analyzed through structural equation modeling and were implemented in partial least square (PLS). To sum up, this study presented theoretical and practical implications by providing the effect of customer participation behavior on brand loyalty through B2C microblogging.

• The Research Journal of the Costume Culture
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• v.22 no.2
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• pp.258-272
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• 2014

This study aims at comprehending the characteristics of fashion communications through case study about an art marketing that Prada develops in the field of modern fashion and providing theoretical materials on creativity-based art marketing and communication spread as expression strategy for brand philosophy and personality. For its research method, theoretical study was reviewed about art marketing and Prada's fashion philosophy and then cases on Prada's art marketing were analyzed according to their types. Prada's types in their art marketing are classified into several groups: support of art foundation and artists, differentiation via flagship store, application of image fashion, exhibition project, and cooperative work with different realms. From the above marketing strategies, we can find the values in that the brand image imbedded in enterprises with culture and art was contributable to set up the brand identity, that they were much beneficial to continuous activation for fashion culture and art fields, and that fashion communications of artistic emotion based on challenge and innovation were proposed. This fashion communication in Prada via way of art marketing is not just expression of Prada's luxury fashion brand but willingness to make their unique style from different facades. This also suggests the orientation that modern fashion should look forward to in finding a new way through cooperative relationship with other fields.

• Industrial Engineering and Management Systems
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• v.15 no.4
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• pp.324-334
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• 2016

Manufacturers and retailers are interested in how prices, promotions, discounts and other marketing variables can influence the sales and shares of the products that they produce or sell. Therefore, many models have been developed to predict the brand share. Since the customer choice models are usually used to predict the market share, here we use hybrid model of Probabilistic Neural Network and Artificial Bee colony Algorithm (PNN-ABC) that we have introduced to model consumer choice to predict brand share. The evaluation process is carried out using the same data set that we have used for modeling individual consumer choices in a retail coffee market. Then, to show good performance of this model we compare it with Artificial Neural Network with one hidden layer, Artificial Neural Network with two hidden layer, Artificial Neural Network trained with genetic algorithms (ANN-GA), and Probabilistic Neural Network. The evaluated results show that the offered model is outperforms better than other previous models, so it can be use as an effective tool for modeling consumer choice and predicting market share.

• Knowledge Management Research
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• v.14 no.1
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• pp.73-94
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• 2013

Customer's purchase state consists of purchase inertia and variety-seeking. As the growing brand familiarity triggers the increase of brand attractiveness, customers purchase state will be of inertia. However the excessively growing brand familiarity ignites the decrease of brand attractiveness. Followingly the purchase state will be tend to plunge into the variety-seeking state. The main topic of this study is to validate the asymmetric formation of customer's purchase states between inertia and variety-seeking. In order to follow up the main topic, this article introduces a model to freely describe the velocity of value changes depending upon the purchase states. This model will help overcome the limitation of the past studies having been based on the symmetric value changes. Based on this approach marketer will be able to decide the timing of sales promotions. This research utilized local telecommunication carrier's database of smartphone application purchase/download records. This database was collected from two years (2009 and 2010) span, the time when the smartphones started commodifying in Korea whilst most of the past studies had used purchase data of maturity stage products. From this approach utilizing the introduction stage data in the product life cycle, the probability of brand choice depending upon the purchase state on the early-stage can be probed. Moreover, this study tries to expand the research methodology from the other areas of research by knowledge sharing. Here this study introduces the methodology of section-aggregated multinomial logit to simultaneously estimate the parameters that were included in the plural multinomial logit functions while the plural functions were inter-connected. This adoption of section-aggregated multinomial logit model procedures from the computerized statistics areas is expected to nourish the marketing research for more precise analysis and estimation of effects of marketing activities.

• Korean Journal of Human Ecology
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• v.23 no.5
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• pp.843-859
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• 2014

The purpose of this study is to find the differences among the clothing brands through examination of present situation about uniform design in domestic coffee houses and provide the basic materials in developing uniform designs to reflect the brand identity. For research contents and method, the overall circumstances were examined about the domestic coffee houses and their uniforms at large via literature review. Then, characteristics on their 10 uniform designs were reviewed according to item, color, pattern and accessary. The following are results. First, cardigan, cap, and necktie according to the individual brand are added with basis of shirt and apron in composition of coffeehouse's uniform. Second, in cardigan, those colors including black, navy and brown are used, reminding of the coffee. Brand logo or symbol is also presented on it, which addresses the brand image. Third, the kind of shirt consists mainly with long or short shirt blouse and long sleeve or short sleeve pique shirt. Job title or gender differentiates the shape and color. Fourth, one-piece type is commonly applied for the apron. At the same time, a short skirt is put on as well. An image expression is often found by the unique brand color also, but mostly, some dark tones like brown or black are largely used. Fifth, in cap, various kinds are worn including the cap as in the case of baseball, fedora, beret, and hunting cap. In color, black or brown color same to that of apron is common, which fails to show differentiation. Thus, consideration of color remix with application of brand symbol is thought to be an alternative to this.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.76-89
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• 2011

The first purpose of this paper is to design brand logo sign analysis frame, 'SCoL'(Analysis frame of signification and communication for the brand logo). It has semiotic view and communication function. And the second is to prove propriety of the suggested frame by application to social media brand logos. The SCoL frame is based on 4 features of logo sigh to have analytic consistency. Also, it covers whole semiological process with index, icon, symbol as signification understanding and reach communication step with Jakobson's theory. As the results, the findings are follow; The SCoL frame can be useful to get comprehensive semiotic understandings and communication functions about logo signs. The social media brands build their own meaning area with logo signs and they depend on different communication function.

• Journal of the Korean Society of Costume
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• v.53 no.5
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• pp.155-169
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• 2003

The purpose of this study was to find out criteria for classifying fashion brand from the viewpoint of fashion business practice in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. Survey was implemented for this research. 388 Data from the people who works for merchandising, sales or design in fashion business company was analyzed. Questionnaires were developed based on 37 fashion brand classification criteria. SPSS package and LISREL program were used to analyze data. Factor analysis, one-way ANOVA, $$\mu$tiple response analysis, correlation analysis, and structure equation model analysis were applied. The results of this study were as follows First, factor analysis considering 37 classification criteria identified 7 factors as classification criteria which can be used effectively by fashion business company. Second, in two cases, based on the job description and the responsible items, analysis showed that importance of the 7 classification criteria factors was different. And all of 7 criteria were correlated to each other. Third, the effective method to classify fashion brands was proposed by establishing the model of the relationship among the values of 7 criteria and by proving it by the structure equation model analysis. And the two types of the courses to classify fashion brand were shown. Forth, according to the evaluation of these criteria in the importance of appropriateness and difficulty of implementing, classification criteria factor of "the level of product concept" was found to be very effective and "the level of brand value" was ineffective to apply.