scholarly journals The Influence of Brand Logo Frame on Brand Character and Consumer’s Brand Evaluation

2021 ◽  
Vol 7 (1) ◽  
pp. p53
Author(s):  
Yifei Sheng ◽  
Hanhan Liu ◽  
Xiaoting Shen

This paper proposes that the different border shapes of brand logos (rectangle and rounded rectangle) cause the differences in the evaluation of brand personality by consumers, which further affects the evaluation of brand by consumers. At the same time, this process is regulated by product category. If product category and brand personality are in the same direction, the border shape of brand logo will generate positive brand evaluation. In this paper, two experiments were designed to verify the hypothesis respectively and to guess the results of data analysis. However, due to the time problem, complete data has not been collected for analysis. This paper provides marketing inspiration for brand identification and deepens the related research on brand identification and brand evaluation.

2015 ◽  
Vol 43 (9) ◽  
pp. 1419-1427 ◽  
Author(s):  
Qing Yao ◽  
Rong Chen ◽  
Xiaobing Xu

We investigated the impact of consistency between consumer personality and brand personality on emotional brand attachment. Participants were 200 undergraduate students at Tsinghua University and we used leading brands in the product category of mobile phone as the survey's stimuli. The results of a structural equation model suggested that consistency in the personality dimensions of sincere, cool, and young had a significant positive impact on the participants' brand attachment compared with consistency in the dimensions of simple, sensitive, reliable, and competent. The results provide strong support for the hypothesis that people feel emotionally attached to brands that match their personality or reflect who they believe they are. We also discuss important theoretical and practical implications of these findings.


2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Jaemun Sim ◽  
Jonathan Sangyun Lee ◽  
Ohbyung Kwon

In a ubiquitous environment, high-accuracy data analysis is essential because it affects real-world decision-making. However, in the real world, user-related data from information systems are often missing due to users’ concerns about privacy or lack of obligation to provide complete data. This data incompleteness can impair the accuracy of data analysis using classification algorithms, which can degrade the value of the data. Many studies have attempted to overcome these data incompleteness issues and to improve the quality of data analysis using classification algorithms. The performance of classification algorithms may be affected by the characteristics and patterns of the missing data, such as the ratio of missing data to complete data. We perform a concrete causal analysis of differences in performance of classification algorithms based on various factors. The characteristics of missing values, datasets, and imputation methods are examined. We also propose imputation and classification algorithms appropriate to different datasets and circumstances.


2014 ◽  
Vol 39 (2) ◽  
pp. 107-127 ◽  
Author(s):  
Artur Matyja ◽  
Krzysztof Siminski

Abstract The missing values are not uncommon in real data sets. The algorithms and methods used for the data analysis of complete data sets cannot always be applied to missing value data. In order to use the existing methods for complete data, the missing value data sets are preprocessed. The other solution to this problem is creation of new algorithms dedicated to missing value data sets. The objective of our research is to compare the preprocessing techniques and specialised algorithms and to find their most advantageous usage.


Media Bisnis ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 89-100
Author(s):  
DENNY SEPTA HARYANTI ◽  
EDDY HERMAWAN

The purpose of this study was to examine and analyze the influence of customer brand identification (CBI), customer satisfaction (SAT), customer brand trust (CBT), and customer commitment (CM) to customer loyalty (CL) on Yamaha Vixion motor sport consumers in DKI Jakarta. The form of research conducted in this study are causal and descriptive. Sampling using pusposive sampling technique with the number of respondents as many as 281 respondents. The data analysis method used in this study is SEM (Structural Equation Model) with AMOS tools. The result of this study indicates that CBI, SAT, CBT, and CM had effect to CL. CBT had effect to CLmediating through SAT, CBT, and CM. Then, SAT had effect to CM mediating through CBT. CBI had effect to CBT mediating through SAT, and CBI had effect to CM mediating through SAT.


2009 ◽  
Vol 35 ◽  
pp. 195-202
Author(s):  
Hyo Kyung Lee ◽  
Jang Hwan Kim ◽  
Myung Soo Choi ◽  
Dae Young Eum

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