• Knowledge Management Research
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• v.12 no.1
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• pp.1-16
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• 2011

This study was motivated by consideration of advertising effects on purchase intention of hotel customers in the situation that people can experience in web advertisements more easily and quickly through four main media. We intends to propose strategic web advertising marketing plans by investigating the relation among hotel web advertising attributions, advertising attitude, brand attitude and purchase intention of customers. In conclusion, in the situation that hotel service industry endeavors a lot to attract young customers, according to gentrified consumption culture and changes in an environmental trend, these results are expected to be used as data to establish web advertising marketing strategies to show trendy brand images to hotel customers, especially consumers of N Generation using official websites of hotels.

• Journal of Distribution Research
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• v.13 no.2
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• pp.97-123
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• 2008

Recently, there has been a growing trend toward private brand. Although much has been written about the determinants of attitude and purchase intention on PB, little is known about the influence of manufacturer and retailer trust on private brand purchase. This research addresses three questions:(1) what impact do manufacturer and retailer trust have on private brand purchase?(2) What is a key mediating variable in the relationship retailer between trust(on retailer/manufacture) and purchase intention?(3) Are the impacts of these factors differ depending on the level of customer knowledge? The findings indicate that retailer trust directly influence on the perceived quality, attitude toward private brand, and purchase intention. Manufacturer trust affects on attitude and purchase intention, however, only when it is through perceived quality. In addition, the relative impact of theses two factors differs to some extent, depending on the level of consumer knowledge. When customer knowledge is relatively high, retailer trust is a very important factor influencing perceived quality, attitude and purchase intention. On the other hand, both retailer trust and manufacturer trust are considered when customer knowledge on private brand is low.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.1
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• pp.77-90
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• 2015

When enjoying sports activities with friends or others, sportswear has symbolic meanings to express and expect self-concept. Sports players sometimes have trouble when they feel embarrassed by their low skills or care about other people too much. Therefore, researchers tried to find out which feature of sports players affects dependence on brand sportswear along with the effect of wearing conspicuous sportswear on wearer when sports players have a conflict based on Solomon's symbolic interactionism. We proposed that role knowledge and attention to social comparison information (ATSCI) influenced people to depend on and use brand sportswear that influences a reflexive evaluation. Finally, we suggested that a changed self-concept would exert influence commitment to sports. A quantitative study was conducted employing an online survey of 121 people by convenient sampling. In this process, Google Docs was to create the online survey and to collect responses by participants. In data processing, via SPSS 21.0 version for Windows, exploratory factor analysis, Cronbach's ${\alpha}$, ANOVA, t-test, discriminant and regression analysis were conducted to study the relationship between variables. The finding provided evidence that low role knowledge and high ATSCI create high dependence on brand sportswear and influence people to buy sportswear. When people bought and wore a brand sportswear, they evaluated themselves as professional sports players who were more committed to sports. This study confirmed that brand sportswear was useful for sport players to change self-evaluation and enjoy sports.

• Knowledge Management Research
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• v.21 no.3
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• pp.215-228
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• 2020

This study introduces the case of a company that newly jumped into the competitive cosmetics market with a brand concept developed through big data analysis. Skin Reverse Lab, which possesses anti-aging material technology, launched a new brand in the skincare cosmetics market. Using a big data analysis program called Luminoso, SNS data was analyzed in four areas, which were consumer attitudes toward overall cosmetics, skincare products, competitors, and consumers' experiences of product use. The age groups and competitors were analyzed through the emotional analysis technique including context, which is the strength of Luminoso, and insights on consumers were derived through the related word analysis and word cloud techniques. Based on the analysis results, Logically Skin have won various awards in famous magazines and apps, and have been recognized as products that meet global trend standards. Besides, it has entered six countries including the United States and Hong Kong. The Logically Skin case is a case in which a new company entered the market with a new brand by deriving consumer insights only from external data, and it is significant as a case of applying AI-based sentiment analysis.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.4
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• pp.519-530
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• 2009

The purpose of this study is to investigate the effects of the prior knowledge, the market position and negative information of the alliance apparel product on consumer attitude including preference, purchase intent and utility. Smart wear with MP3 was selected for the alliance apparel product. Negative information was manipulated into two types-product related and brand related negative information. 251 subjects participated for the study. For the data analysis, reliability test and three way analysis of variance were conducted. The results showed that when the partner brand has the higher market position, subjects with high prior knowledge revealed preference for the alliance apparel product more. When the partner brand has the higher market position, the subjects who were given the negative information on the alliance apparel product reported preference and utility more than the ones who were given the negative information on the company. The findings of the study imply that apparel industries should make an effort to establish the positive corporate image as well as to produce high quality apparel product. Also marketers should provide consumers with the knowledge about brand new alliance apparel product.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.353-359
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems (UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between 0 -1. Second, RDB and SQL (Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS (Knowledge Management Systems).

• Fashion & Textile Research Journal
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• v.10 no.4
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• pp.499-505
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• 2008

The Purpose of this study is to research the relations between brand attachment and brand loyalty depending on symbolic consumption propensity toward fashion goods. Subjects were 391 women in their twenties to fifties who live in Gyungsang Province and have purchased the fashion goods. Frequency analysis, reliability analysis, factor analysis, multiple regression analysis, and one-way layout variance analysis were conducted using SPSS 13.0 as data analysis. The findings from the analysis are described in the following: Uniqueness and materialism out of the symbolic consumption propensity toward fashion goods had positive effects on the elements of brand attachment such as love, care, and knowledge. Brand loyalty was influenced positively by social face sensitivity and materialism among symbolic consumption toward fashion goods.

• Knowledge Management Research
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• v.12 no.3
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• pp.73-96
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• 2011

Recent market saturation makes the local retailers consider an attempt to innovate the market with the retailer's brand. This is the retailers' efforts to expand the market control through the enhancement of private brands. As the competition among manufacturers extends to the competition between manufacturers and retailers, the marketing knowledges of manufacturers need to be diversified to the ones that can be applied to the manufacturers and retailers due to their bilateral competition. This research concentrates on the customer acquisition strategy (attack strategy) and customer retention strategy (defense strategy) in the place of both sides of manufacturers and retailers. Also this research targets to develop the differential marketing strategies for target market's National Brand(NB)/Private Brand(PB) purchase by analyzing individual customer's purchase probability on repurchase and switch-purchase of NB and PB. This study is based on the data of frequently consumed product, tomato ketchup on scanner panel from the ERIM data of University of Chicago, USA. This study compares and analyzes the NB and PB repurchases and switch-purchase of 4 types. The comparisons provide the informations that which factors should be managed for the attack strategy, the defense strategy, and the differential marketing strategies both for manufacturers and retailers. This research is expected to contribute on cumulating the industrial knowledges of retailers' and manufacturers' survival strategy, expecially focusing on the effect of marketing factors and consumer-characteristic factors.