• Journal of the East Asian Society of Dietary Life
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• v.16 no.2
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• pp.207-214
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• 2006

The purpose of this study was to examine the impacts of brand personality and employee personality on employee brand identification. The questionnaire developed for this study was distributed to 460 employees in F&B (food and beverage) departments and kitchen of 11 deluxe hotels in Seoul. A total of 398 questionnaires were used for analysis (86.5%) and the statistical analyses were completed using SPSS Win(12.0) for descriptive analysis, reliability analysis, t-test, and regression analysis. The results showed that employee brand identification was stronger at higher position, and also stronger among F&B department employees than among kitchen cooks. In addition, international hotels showed a higher level of employee brand identification than local hotels. Employee brand identification was also affected by hotel brand personality and employee personality. The dimension of 'sincerity' had the strongest effect on brand identification, followed by the dimensions of 'excitement' and 'sophistication'. Especially, when the hotel brand personality was lower than the employee personality at the dimension of 'sincerity', the level of employee brand identification was much lower. Overall, employee brand identification, which is a key factor for successful brand delivery to customer, could be enhanced through strong strategies to improve the brand personality dimensions and enhance employee development.

• Korean journal of food and cookery science
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• v.23 no.3 s.99
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• pp.401-408
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• 2007

The purpose of this study was to identify the impacts of brand and organizational identification on job satisfaction among kitchen and F & B employees of deluxe hotels. Questionnaires were distributed to 460 employees in the food and beverage departments of 11 deluxe hotels in Seoul. A total of 398 questionnaires were used for analysis (86.5%). Statistical analyses were completed using SPSS Win (12.0) to perform descriptive analysis, reliability analysis, t-tests and ANOVA. The results of the study showed that brand identification was higher with F & B employees than kitchen employees (p<0.01), and was also higher for employees of international brand hotels than local brand hotels (p<0.05). Further analyses revealed that brand identification affected organizational identification, and both types of identification, especially brand identification, had strong impacts on job satisfaction. In conclusion, employee brand identification should be recognized as one of the most important factors of human resource management in the foodservice industry.

• Smart Structures and Systems
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• v.15 no.1
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• pp.81-97
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• 2015

Recently, a new output-only modal identification method based on time-frequency independent component analysis (ICA) has been developed by the authors and shown to be useful for even highly-damped structures. In many cases, it is of interest to identify the complex modes of structures with non-proportional damping. This study extends the time-frequency ICA based method to a complex ICA formulation for output-only modal identification of non-proportionally-damped structures. The connection is established between complex ICA model and the complex-valued modal expansion with sparse time-frequency representation, thereby blindly separating the measured structural responses into the complex mode matrix and complex-valued modal responses. Numerical simulation on a non-proportionally-damped system, laboratory experiment on a highly-damped three-story frame, and a real-world highly-damped base-isolated structure identification example demonstrate the capability of the time-frequency complex ICA method for identification of structures with complex modes in a straightforward and efficient manner.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.797-807
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• 2010

This study investigates the effects of consumer brand identification and brand attachment to brand equity. 332 surveys were collected from male and female university students in Seoul. In each survey, respondents were asked to choose one favorite fashion brand that they often purchase and answer questions regarding brand identification, brand attachment, and brand equity. The results were analyzed using SPSS package 12.0 and AMOS 5.0 program and factor analysis, reliability analysis, and path analysis were conducted. After the factor analysis, 3 factors were found under brand identification, 4 factors under brand attachment, and 4 factors under brand equity. The Cronbach's $\alpha$ of brand identification was .84, the brand attachment was .80, and the brand equity was .81. The results of this study show that brand identification had a positive effect on brand attachment that had a positive effect on brand equity. Additional results show that both brand identification and brand attachment had a positive direct effect on brand equity; however, brand attachment had a higher effect on brand equity.

• Korean Journal of Oriental Medicine
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• v.3 no.1
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• pp.153-167
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• 1997

Conventionally, identification and classification methods of natural products include the morphological survey and assay of chemical disposition, sing these methods, however, is not satisfying for the precise identification of natural products because they are often valiable in the compositions and morphology To standardize the natural products identification and classification, genomic DNA analysis such as RAPD, RFLP and Amp-FLP can be adopted for this purpose. In this study, various ginsengs and bear gall bladder were tested for the development of genetic identification and classification method. Varieties of ginsengs such as, P. ginseng, P. quinquefolium, P. japonicus and P. notoginseng, were genetically analyzed by RAPD. Also, DNA isolated from Bear blood and gall bladder, Ursus thibetanus, Ursus americanus and Ursus arctos, were analyzed by the same method. The results demonstrated that the identification and classification of bear gall bladder and various ginsengs were possible by RAPD analysis. Therefore, this method was thought to be used as a additional method for the identification and classification of other natural products.

• Journal of the Korean Society of Costume
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• v.66 no.1
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• pp.90-107
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• 2016

The purpose of this study was to examine the fashion brand attitude of tweenagers, with a focus on brand awareness, image, identification and loyalty. The study analysed 541 fifth and sixth-grade students in Seoul elementary schools. Major statistical methods used for this study were Cronbach's alpha analysis, confirmatory factor analysis, and path analysis with SPSS 19.0 and AMOS 19.0. Brands selected for this study were "NIKE" and "BEANPOLE KIDS". The result of this study was as follows: First, the study showed that both "NIKE" and "BEANPOLE KIDS" had 4 significant routes from the research model. Brand awareness had influence on brand image; brand image had influence on brand identification and brand loyalty; and brand identification had influence on brand loyalty. Second, using the bootstrapping to verify the significance of the total effect and indirect effect, brand awareness had a significant indirect effect on brand identification and brand loyalty; brand awareness did not have any direct effect on brand identification and brand loyalty for both "NIKE" and "BEANPOLE KIDS". Also, the total effect of brand awareness on brand identification and brand loyalty was significant. The result of this study showed the development potential to the fashion companies targeting tweenagers.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.25 no.6
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• pp.522-531
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• 2016

In this study, we propose an object identification method for bin-picking developed for industrial robots. We identify the grasp posture and the associated geometric parameters of grasp objects using the joint data of a robotic gripper. Prior to grasp identification, we analyze the grasping motion in a low-dimensional space using principle component analysis (PCA) to reduce the dimensions. We collected the joint data from a human hand to demonstrate the grasp-identification algorithm. For data acquisition of the human grasp data, we conducted additional research on the motion characteristics of a human hand. We explain the method for using the algorithm of grasp identification for bin-picking. Finally, we present a subject for future research using our proposed algorithm of grasp model and identification.

• Culinary science and hospitality research
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• v.23 no.3
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• pp.186-195
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• 2017

The purpose of this research was to find the effect of leadership on organizational identification and organizational commitment in casino industry. Prepared questionnaires were distributed to 340 sample employees working in a domestic casino and then a total of 316 questionnaire were used for data analysis. This study was processed by carrying out internal consistency method, exploratory factor analysis besides frequency analysis, multiple regression analysis by using SPSS Win 19.0. The results of research are as follows: 1) transformational leadership had a positive effect on organizational identification. 2) Transformational leadership had a positive effect on affective commitment. 3) Transformational leadership and transactional leadership had a positive effect on continuance commitment. Therefore, this study suggests that transformational leadership is an important factor to raise the employees' organizational identification and affective commitment.

• The Research Journal of the Costume Culture
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• v.28 no.2
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• pp.147-165
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• 2020

To identify the antecedents of repurchasing intention toward fast fashion brands, this study was conducted to examine brand authenticity and brand identification as both direct and indirect antecedents of repurchasing intention through fast fashion brand love. Through convenience sampling, 266 university students in Seoul metropolitan area completed a questionnaire survey. Data were analyzed using SPSS for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. Factor analysis revealed the following: for brand authenticity, four dimensions('originality,' 'reliability,' 'continuity,' and 'naturalness') were revealed; for both consumer brand identification and repurchase intention one dimension was revealed; and for brand love two dimensions were revealed('passion' and 'affection'). Path analysis confirmed that 'reliability' and 'naturalness'in relation to brand authenticity indirectly influenced repurchase intention through 'passion'(as a factor of brand love) and directly influenced repurchase intention. Further, 'continuity' in relation to brand authenticity indirectly influenced repurchase intention through 'affection'(as a factor of brand love) and directly influenced repurchase intention. Consumer brand identification influenced repurchase intention indirectly through two factors of brand love. These results suggest that fast fashion brand marketers should implement effective strategies that consider consumers'perceptions of brand authenticity, consumer brand identification, and brand love.

• Structural Engineering and Mechanics
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• v.17 no.3_4
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• pp.429-444
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• 2004

The ambient vibration measurement is a kind of output data-only dynamic testing where the traffics and winds are used as agents responsible for natural or environmental excitation. Therefore an experimental modal analysis procedure for ambient vibration testing will need to base itself on output-only data. The modal analysis involving output-only measurements presents a challenge that requires the use of special modal identification technique, which can deal with very small magnitude of ambient vibration contaminated by noise. Two complementary modal analysis methods are implemented. They are rather simple peak picking (PP) method in frequency domain and more advanced stochastic subspace identification (SSI) method in time domain. This paper presents the application of ambient vibration testing and experimental modal analysis on large civil engineering structures. A 15 storey reinforced concrete shear core building and a concrete filled steel tubular arch bridge have been chosen as two case studies. The results have shown that both techniques can identify the frequencies effectively. The stochastic subspace identification technique can detect frequencies that may possibly be missed by the peak picking method and gives a more reasonable mode shapes in most cases.