• Human Ecology Research
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• 제54권1호
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• pp.97-106
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• 2016

The purposes of this study were to examine the effect of consumers brand identification of a luxury fashion brand on brand attachment and to determine the moderating influences of self-monitoring and social self-esteem on this effect. For this study, a questionnaire was developed through a literature search. The developed survey was then conducted by means of on-line and off-line questionnaires. Data from 228 women with experience in buying luxury fashion brands was analyzed with descriptive statistics, Cronbach a, factor analysis, regression, two-way one-way analysis of variance (ANOVA) and t -test using SPSS for Windows 21.0. First, the brand identification of consumer was composed three factors; actual, ideal, social identification. The brand attachment was composed five factors; emotional, dependency, attraction, intellectual curiosity, and general interest. Second, it was shown that brand identification has a positive influence on brand attachment. Third, it was also shown that there is a moderating influence from self-monitoring on the effect of consumer's brand-identification of a luxury fashion brand on brand attachment. Interaction effect between consumer's brand-identification and self-monitoring was found out to be meaningful at brand affect. Fourth, there was an additional moderating effect from social self-esteem on this effect. Interaction effect between consumer's brand-identification and social self-esteem was found out to be meaningful at brand affect.

• 한국조리학회지
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• 제18권1호
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• pp.120-140
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• 2012

본 연구에서는 패밀리레스토랑의 브랜드개성과 고객의 자아이미지를 규명하고 브랜드개성과 자아이미지의 일치성이 브랜드동일시와 브랜드 충성도에 미치는 영향을 규명하였다. 연구 결과, 패밀리레스토랑의 브랜드개성과 고객의 자아이미지가 일치할수록, 브랜드동일시도 증가하는 것으로 나타났으며, 패밀리레스토랑의 브랜드동일시는 브랜드충성도에 긍정적인 영향을 미치는 것으로 조사되었다. 이는, 고객이 자신이 추구하는 자아상과 잘 부합되는 브랜드에 호의적이며, 이들 브랜드에 대해 지속적인 구매행동을 보이는데, 이는 동일시하는 브랜드와의 지속적인 관계 유지를 통해서 사회 속에 자신을 표현하고 자아를 유지하거나 강화시키고자 하기 때문인 것으로 판단된다.

• Asia Marketing Journal
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• 제21권1호
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• pp.89-112
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• 2019

To investigate the interplay between individual and collective self-regulations, the authors propose a dialectic process that describes the changes in the locus of self-regulations between individual self and collective self. The results from three studies display a strong support for the two sets of hypotheses drawn from the proposed process. Our findings demonstrate that consumers can move the locus of self-regulation from individual-self to collective-self when a social identity is activated (preliminary study and study1). Further examination of regulatory swing between individual and collective regulatory orientations revealed group identification as a key variable in determining the locus of self-regulation (study2). While a consumer with a high level of group identification changes her locus of self-regulation from an individual to a collective (a regulatory shift) and evaluated messages and products framed consistent with their group orientation, a consumer with low level of group identification maintains her locus of self-regulation in her personal level of self (a regulatory preservation) and evaluated messages and products framed consistent with their personal regulatory focus.

• Asia Marketing Journal
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• 제9권3호
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• pp.117-149
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• 2007

기업의 충성도 높은 고객 유치 및 기업 몰입을 위한 하나의 방안으로 대두되고 있는 온라인 개인 커뮤니티의 경우 개인이 미니홈피를 창조하여, 자신을 표현하고 관리하여 커뮤니티를 구축하고, 커뮤니티와 상호작용하면서 자신을 표현하기 때문에 온라인 개인 커뮤니티와 자아간의 연결인 동일시에 대한 연구가 중요함에도 불구하고 아직까지 이에 대한 연구가 이루어지지 않고 있다. 따라서 본 연구에서는 온라인 개인 커뮤니티 몰입에 대한 동일시의 역할과 동일시에 영향을 미치는 자아표현의 효과를 살펴보는데 연구 목적이 있다. 개인 미니홈피를 싸이월드에서 이용하는 소비자들을 대상으로 검증한 결과 첫째, 개인적 실제자아 표현과 개인적 이상자아 표현은 개인적 동일시에 영향을 미치고, 사회적 실제자아 표현과 사회적 이상자아 표현은 사회적 동일시에 영향을 미치는 것을 알 수 있었다. 둘째, 개인적 동일시와 사회적 동일시는 모두 온라인 개인 커뮤니티 몰입에 긍정적인 영향을 미치는 것을 알 수 있으며, 온라인 개인 커뮤니티 몰입 수준이 높을수록 원천 기업에 대한 반응은 좋게 나타나는 것을 알 수 있었다. 따라서 소비자들의 개인적 동일시와 사회적 동일시를 높여주기 위해서 온라인 개인 커뮤니티내의 상호작용 활동 및 정보제공의 용이성과 개인의 표현력을 높여줄 아이템의 개발이 있어야만 할 것이다.

• 한국식품조리과학회지
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• 제27권1호
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• pp.33-42
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• 2011

The purposes of this study were to understand the influence of brand personality-self image congruence in quick service restaurants on customer satisfaction and to empirically analyze whether or not customers' brand identification plays a moderating role between brand personality-self image congruence and customer satisfaction. Based on a total of 478 samples obtained from empirical research from June 10 to June 16, 2010, self-administered questionnaires were completed by patrons in a metropolitan area, and data were analyzed based on frequency, exploratory factor analysis, reliability analysis, correlation analysis, and hierarchical regression analysis. Results of the study were as follows: From the factor analysis of brand personality and self-image, 5 factors, i.e. sophistication (5 items), competence (5 items), likability (5 items), trendiness (5 items), and ruggedness (5 items) were extracted. The results show that trendiness (${\beta}$=-0.151) among brand personality-self image congruence had a significant positive effect on customer satisfaction. Further, customers' brand identification (${\beta}$=0.645) had a significant positive effect on customer satisfaction. In addition, the effect of brand personality-self image congruence (only, likability ${\times}$ brand identification; ${\beta}$=0.245) in quick service restaurants on customer satisfaction was found to be partially moderated by customers' brand identification. In other words, the findings show that customers wanted to identify with a specific brand because it provides a means to continue transactions with the brand if it corresponds with their self-image or if the overall image of the brand is favorable. Limitations and future research directions are also discussed.

• 대한전기학회논문지
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• 제45권4호
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• pp.574-581
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• 1996

The neural network approach has been shown to be a general scheme for nonlinear dynamical system identification. Unfortunately the error surface of a Multilayer Neural Networks(MNN) that widely used is often highly complex. This is a disadvantage and potential traps may exist in the identification procedure. The objective of this paper is to identify a nonlinear dynamical systems based on Self-Organized Distributed Networks (SODN). The learning with the SODN is fast and precise. Such properties are caused from the local learning mechanism. Each local network learns only data in a subregion. This paper also discusses neural network as identifier of nonlinear dynamical systems. The structure of nonlinear system identification employs series-parallel model. The identification procedure is based on a discrete-time formulation. Through extensive simulation, SODN is shown to be effective for identification of nonlinear dynamical systems. (author). 13 refs., 7 figs., 2 tabs.

• 아태비즈니스연구
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• 제9권4호
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• pp.201-221
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• 2018

The purpose of this study is to investigate the relationship between association of a company's CSV activity and association of corporative competence and consumers' self-brand connection. The study examine how consumer self-brand connection affect self-identification and corporate identification as well as how these factors influenced on brand loyalty. The paper attempts to examine authenticity of CSV activity and product plays a moderating role when association of CSV and authenticity of product affects self-brand connection. a total of 700 consumers who have experience with the target company and products. A target company was selected by investigates. The company is one manufactures as well as implements CSV activities as a means of ethical management. The results indicated that CSV association and corporative competence are closely related to the self-brand connection. Such attitude in turn affected the consumers' formation of self-and corporate-identification and brand loyalty. Authenticity of CSV activity and product was proven to play a moderating variables for brand loyalty and perception of company.

• 한국조명전기설비학회지:조명전기설비
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• 제9권6호
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• pp.71-77
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• 1995

This paper deals with design method of learning fuzzy controller for control of an unknown nonlinear plant using the self-tuning algorithm of fuzzy inference rules. In this method the fuzzy identification model obtained that the joined identification model of nonlinear part and linear identification model of linear part by fuzzy inference systems. This fuzzy identification model ordered self-tuning by Decent method so as to be servile to nonlinear plant. A the end, designed learning fuzzy controller of fuzzy identification model have learning structure to model reference adaptive system. The simulation results show that th suggested identification and learning control schemes are practically feasible and effective.

• 간호행정학회지
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• 제8권4호
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• pp.575-583
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• 2002

Purpose : The purpose of this study was examine the effects of Self-Development training on the Self-Identity for head nurses. Methods : The sample consisted of 24 head nurses in one university hospital in Seoul. The subjects were divided into two groups for the training. Self-Development training was developed by the researcher for during 4 sessions in two weeks that is, 2 hours a day/ 2 times a weeks / two weeks / each group. Self-Development training program consists of identification of self-development elements, self-identification I, self-identification II, and human relationship. Two-weeks before and 4-weeks after the training, subjects completed the questionnaires. Analysis was done by SPSS PC 10.0 for percentile, mean, standard deviation, paired t-test and correlation. Results : The results of this study showed that the Self-Identity had not significant differences before and after Self-Development Training. When compared 5 subscales, self-assertiveness is significant difference, and goal-directedness has the lowest score before and after training. 11(46%) of head nurses mean scores at the 4 weeks after training were slight higher. Conclusion: On the basis of the finding, the researcher makes the following conclusion. This study is one step towards understanding the impact of Self-Identity for the head nurses. It would be beneficial to replicate this study with larger, more diverse samples.

• 제어로봇시스템학회논문지
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• 제11권9호
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• pp.781-788
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• 2005

This paper proposes an identification method using a self recurrent wavelet neural network (SRWNN) for dynamic systems. The architecture of the proposed SRWNN is a modified model of the wavelet neural network (WNN). But, unlike the WNN, since a mother wavelet layer of the SRWNN is composed of self-feedback neurons, the SRWNN has the ability to store the past information of the wavelet. Thus, in the proposed identification architecture, the SRWNN is used for identifying nonlinear dynamic systems. The gradient descent method with adaptive teaming rates (ALRs) is applied to 1.am the parameters of the SRWNN identifier (SRWNNI). The ALRs are derived from the discrete Lyapunov stability theorem, which are used to guarantee the convergence of an SRWNNI. Finally, through computer simulations, we demonstrate the effectiveness of the proposed SRWNNI.