• Journal of Global Scholars of Marketing Science
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• v.17 no.2
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• pp.111-131
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• 2007

As a brand becomes a core asset in creating a corporation's value, brand marketing has become one of core strategies that corporations pursue. Recently, for customer relationship management, possession and consumption of goods were centered on brand for the management. Thus, management related to this matter was developed. The main reason of the increased interest on the relationship between the brand and the consumer is due to acquisition of individual consumers and development of relationship with those consumers. Along with the development of relationship, a corporation is able to establish long-term relationships. This has become a competitive advantage for the corporation. All of these processes became the strategic assets of corporations. The importance and the increase of interest of a brand have also become a big issue academically. Brand equity, brand extension, brand identity, brand relationship, and brand community are the results derived from the interest of a brand. More specifically, in marketing, the study of brands has been led to the study of factors related to building of powerful brands and the process of building the brand. Recently, studies concentrated primarily on the consumer-brand relationship. The reason is that brand loyalty can not explain the dynamic quality aspects of loyalty, the consumer-brand relationship building process, and especially interactions between the brands and the consumers. In the studies of consumer-brand relationship, a brand is not just limited to possession or consumption objectives, but rather conceptualized as partners. Most of the studies from the past concentrated on the results of qualitative analysis of consumer-brand relationship to show the depth and width of the performance of consumer-brand relationship. Studies in Korea have been the same. Recently, studies of consumer-brand relationship started to concentrate on quantitative analysis rather than qualitative analysis or even go further with quantitative analysis to show effecting factors of consumer-brand relationship. Studies of new quantitative approaches show the possibilities of using the results as a new concept of viewing consumer-brand relationship and possibilities of applying these new concepts on marketing. Studies of consumer-brand relationship with quantitative approach already exist, but none of them include sub-dimensions of consumer-brand relationship, which presents theoretical proofs for measurement. In other words, most studies add up or average out the sub-dimensions of consumer-brand relationship. However, to do these kind of studies, precondition of sub-dimensions being in identical constructs is necessary. Therefore, most of the studies from the past do not meet conditions of sub-dimensions being as one dimension construct. From this, we question the validity of past studies and their limits. The main purpose of this paper is to overcome the limits shown from the past studies by practical use of previous studies on sub-dimensions in a one-dimensional construct (Naver & Slater, 1990; Cronin & Taylor, 1992; Chang & Chen, 1998). In this study, two arbitrary groups were classified to evaluate reliability of the measurements and reliability analyses were pursued on each group. For convergent validity, correlations, Cronbach's, one-factor solution exploratory analysis were used. For discriminant validity correlation of consumer-brand relationship was compared with that of an involvement, which is a similar concept with consumer-based relationship. It also indicated dependent correlations by Cohen and Cohen (1975, p.35) and results showed that it was different constructs from 6 sub-dimensions of consumer-brand relationship. Through the results of studies mentioned above, we were able to finalize that sub-dimensions of consumer-brand relationship can viewed from one-dimensional constructs. This means that the one-dimensional construct of consumer-brand relationship can be viewed with reliability and validity. The result of this research is theoretically meaningful in that it assumes consumer-brand relationship in a one-dimensional construct and provides the basis of methodologies which are previously preformed. It is thought that this research also provides the possibility of new research on consumer-brand relationship in that it gives root to the fact that it is possible to manipulate one-dimensional constructs consisting of consumer-brand relationship. In the case of previous research on consumer-brand relationship, consumer-brand relationship is classified into several types on the basis of components consisting of consumer-brand relationship and a number of studies have been performed with priority given to the types. However, as we can possibly manipulate a one-dimensional construct through this research, it is expected that various studies which make the level or strength of consumer-brand relationship practical application of construct will be performed, and not research focused on separate types of consumer-brand relationship. Additionally, we have the theoretical basis of probability in which to manipulate the consumer-brand relationship with one-dimensional constructs. It is anticipated that studies using this construct, which is consumer-brand relationship, practical use of dependent variables, parameters, mediators, and so on, will be performed.

• KIEE International Transactions on Power Engineering
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• v.5A no.3
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• pp.286-292
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• 2005

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that consider the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• Journal of the Ergonomics Society of Korea
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• v.26 no.1
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• pp.79-85
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• 2007

Demand forecasting methods for a consumer product such as TV or refrigerator are widely known. However, sales forecast for a brand new product cannot be estimated using conventional forecasting methods. This study proposes a five-step procedure in forecasting a newly developed product. Step one defines functions in a High Touch product in order to estimate relative attraction of the product to consumer group. In step two, for a comparison purpose, a compatible product that is successfully penetrated into market is selected. Step three breaks a target population into many segments based on demography. Step four calculates relative attraction between the High Touch product and the compatible product. Finally, market penetration rate of the High Touch product is estimated using a bell-shaped diffusion curve of the compatible product. The process offers a method to estimate potential demand and growth pattern of the new High Touch product.

• Journal of Fashion Business
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• v.14 no.4
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• pp.41-57
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• 2010

DongDaeMoon fashion retail market, or so-called the new western market, has been playing an important role in DongDaeMoon area's success from 1997 to early 2000's. However, the unique and successful fashion merchandising system of DongDeaMoon retail market has been seriously threatened by consumer need changes as well as by an increased competition from new types of retail stores such as discount stores and online shopping malls. Moreover, its performance has been deteriorated due to the increased number of undifferentiated, small and medium-sized retail stores within the area. In this paper, attempts are made in building revitalization strategies for DongDeaMoon fashion retail market on the basis of analyzing fast fashion and consumers. As results, we found that DongDaeMoon fashion retail market needs cooperated area management plan from related market members. This will help DongDaemoon's image change from deal-oriented market to relationship-oriented market with consumers. Through Focus Group interview, we found DongDeaMoon fashion retail market is confronted with insufficient shopping infrastructure and new challenge from global fast fashion brand. Moreover, to overcome this situation, consumers require repaired communication activities by DongDeaMoon fashion market members on consumer relationship management basis. At the end, this paper try to provide strategic implications for DongDeaMoon fashion retailers.

• Journal of Global Scholars of Marketing Science
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• v.17 no.2
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• pp.75-97
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• 2007

Less than 3% of India's food basket, consists of processed food, therefore processed food can be viewed as an innovation or new product to Indian consumers. This research investigates the effects of product familiarity and reference groups on Indian consumers' attitudes and purchase behavior of new processed food products. For the study, the model is developed by modifying Cambel and Goodstein's (2001) "Moderate Incongruity Effect" to include important cross-cultural influences on attitudes and purchase decisions among Indian consumers. Empirical analysis was conducted through structural equation modeling (SEM). SEM results indicated that reference group influence has a stronger positive effect on consumers' attitudes and actual purchase behavior of more familiar processed foods than of less familiar processed food. In addition, attitudes have a stronger positive effect on consumers' actual purchase of more familiar than of less familiar processed foods.

• Korean Management Science Review
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• v.26 no.3
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• pp.79-100
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• 2009

Recently, most tech-based products are of multiple generations, since new-generation products are replacing the older ones as technologies continue to improve. Although, this means that research is needed to examine as much about the role of post-adoption behavior as the missing link between the adoptions of successive generation as first adoption of innovation, there is a dearth of literature explicitly examining consumers' post-adoption behavior, especially in the context of subscription-based service. For the subscription-based services, in spite of the important role of consumer satisfaction, research on the post-adoption behavior can not carefully examine the direct impact of consumer satisfaction on their decision to upgrade by considering usage instead of satisfaction as the missing link between buyers' first adoption and their next-generation adoption. This study identified two types of attribute satisfaction such as basic attribute and core attribute using both literature review and FGI (Focus Group Interview), and tries to investigate how two types of attribute satisfaction has influence on customers' intention to upgrade to the next-generation services. and a moderating role of customer loyalty between attribute satisfaction and intention. The empirical results show that core-attribute satisfaction has a negative influence on customers' intention to upgrade, due to the moderating role of customer loyalty, but it can raise their intention to upgrade next-generation services. However, basic-attribute satisfaction, on the other hand, appears to positively influence both customer loyalty and the intention to upgrade. We also find that the consumer attribute satisfaction is influenced by consumer innovativeness, her perception of service and the usage of each features' type in different ways. Finally, academic and practical implication is made, limitation is clarified and a direction for further studies is suggested.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.167-177
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• 2019

Innovation of genomics technology has recently been extended to Direct To Consumer Genetic Test (DTC-GT) which consumers purchase without requesting the service on medical institutes. In 2016, Korea has introduced the DTC-GT but the market size is small comparing to global market. This study analyzes consumers' purchase intentions and purposes and their influential factors based on 2018 consumer survey. According to the results of binominal and multinominal logistic regression, knowledge after purchase, attitude on medical care benefit, health status are statistically significant on purchase intentions. Purchase purposes are different on age group and related on medical care rather than health care. These results imply that DTC-GT is needed to improve consumer satisfaction, re-purchase and effective care service. This paper is expected to contribute on strategic directions for the new DTC-GT product development.

• Horticultural Science & Technology
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• v.30 no.3
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• pp.325-328
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• 2012

A new Dendranthema grandiflourm 'My Sun' was developed at Gyeonggi-do Agricultural Research & Extension Services (GARES), Korea in 2009. 'My Sun' was initially derived from the cross in 2005 between 'Omega Time Orange', a potted chrysanthemum cultivar with orange single type, and 'Tasman', a potted chrysanthemum cultivar with white single type in 2005. The cultivar has single type flowers with yellow petals. Trial and evaluation was conducted from 2006 to 2009 for the selection of this variety, including a shading culture in spring and a retarding culture in winter. The flowering time of 'My Sun' was October 13th, and year-round flowering is possible by shading or lighting treatment. The diameter of flower is 21.0 mm. Numbers of flowers per stem and petals per flower are 34.4 and 20.4, respectively. Its leaf color was green (Green Group 137A) and plant height was 13.3 cm. Days to flowering under the short day treatment is about 42 in spring, and numbers of branch per plant was 3.4 ea in the winter. This cultivar was resistance to white rust and consumer's preference of new pot-mum is high level than control.

• KIEE International Transactions on Power Engineering
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• v.3A no.3
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• pp.124-129
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• 2003

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that take into account the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.2-5
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• 2022

With the advent of deep learning and the rapid development of ICT (Information and Communication Technology), research using artificial intelligence is being actively conducted in various fields of society such as politics, economy, and culture and so on. Deep learning-based artificial intelligence technology is subdivided into various domains such as natural language processing, image processing, speech processing, and recommendation system. In particular, as the industry is advanced, the need for a recommendation system that analyzes market trends and individual characteristics and recommends them to consumers is increasingly required. In line with these technological developments, this paper extracts and classifies attribute information from structured or unstructured text and image big data through deep learning-based technology development of 'language processing intelligence' and 'image processing intelligence', and We propose an artificial intelligence-based 'customized fashion advisor' service integration system that analyzes trends and new materials, discovers 'market-consumer' insights through consumer taste analysis, and can recommend style, virtual fitting, and design support.