• Journal of Distribution Science
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• v.22 no.5
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• pp.67-79
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• 2024

Purpose: The purpose of this study is to shopping medium determinants and consumer behavior differences based on the value of consumption. Methodology: The subjects of the survey were adult men and women in their 20s or older living in Korea, and 283 valid responses were obtained. A Logit model was used to identify consumption value factors and shopping medium choices. A t-test was conducted to analyze the differences between consumer behavior based on preferred shopping medium (on/offline). Results: The inclusion of community-oriented factors such as eco-friendliness and social contributions lead to higher likelihood of choosing offline shopping. In addition, consumers who value self-expression and who are price sensitive are more likely to choose online stores. Conclusions: It was found that community-oriented factors lead shoppers to choose offline shopping, and the need for self-expression lead shoppers to choose online stores.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.12
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• pp.1440-1453
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• 2011

Proper consumer segmentation is receiving more attention from industry professionals as markets become more diverse and consumer-centered. Researchers have recognized the limitations of the traditional cluster analysis technique and this research study analyzes market segmentation using Mixture-model or latent-class segmentation. This study used a questionnaire to determine the characteristics of clothing shoppers using a new technique that proved its superiority over traditional techniques. Questions included items measuring fashion shopping behavior, store choice criteria, apparel consumption styles, price perception by product type, and demographic characteristics. Data were collected from 1074 males and females in their 20s and 30s through an online survey. SPSS 16.0 and Latent GOLD 4.0 were used to analyze the data. The ideal typology of clothing shoppers using the Mixture-model were: 'brand loyalty orientated group', 'group of conservative late 30s', 'group of pleasure-emotion early 20s', 'value oriented consumer product with high-income group', 'group of eco/symbol oriented consumer', and 'group of utility/goal oriented male consumer'. This study showed differences in fashion product purchasing behavior by conducting market segmentation for clothing shoppers using the Mixture-model.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.905-915
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• 2021

This study examines the relationship between financial behavior, financial literacy, self-efficacy, and self-coping among emerging adults. The study population is 790 respondents from 11 Credit Counselling and Debt Management (CCDM). Statistical Package for Social Science (SPSS) was used to analyze Pearson Correlation and Multiple regression. It was used to determine the relationships and recognize determinants of emerging adults' financial behavior respectively. In this study, financial literacy, self-efficacy, self-coping, and financial behavior variables were entered into the regression. A total of 790 respondents aged 40 and below were selected. An independent sample t-test was administered to compare the financial behavior scores for females and males. The results reveal that there was significant difference in the mean of financial behavior scores for females (M = 87.20, SD = 18.00) and males (M = 89.70, SD = 16.80; t (765) = 2.010, p = 0.045, two-tailed). The multiple regression results indicate that the model explained 13.4% of the variance in financial behavior, which is predicted significantly by the model (F = 38.361, p = 0.000). This study will be beneficial to policymakers to improve living conditions and to promote good financial behavior, financial literacy, self-efficacy as well as self-coping especially for emerging adults in Malaysia.

• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.1156-1164
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• 2021

This study sought to provide basic data on the soccer shoe brand strategy method by verifying the effectiveness of the soccer shoe brand 3i model to derive the importance and implications of the brand 3i model. Therefore, the sample was selected for those who have purchased soccer shoes for the past three years, and 421 copies of the data were applied to the final analysis. Data processing performed frequency analysis, internal consistency, confirmatory factor analysis, correlation analysis, and structural equation model analysis, all of which utilized SPSS (ver. 21.0) and AMOS (ver. 20.0) programs. The conclusions of this study are as follows. First, soccer shoe brand 3i model had a significant influence on brand trust. Second, brand trust had a significant influence on consumer purchasing behavior. Third, soccer shoe brand 3i model had a significant influence on consumer purchasing behavior. Lastly, brand trust between soccer shoe brand 3i model and consumer purchasing behavior showed partial mediated effect.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1101-1121
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• 2024

Thorough understanding of user demands and formulation of product development strategies are crucial in product design, and can effectively stimulate consumer behavior. Scientific categorization and classification of demands contribute to accurate design development, design efficiency, and success rates. In recent years, e-commerce has become important consumption platforms for smart wearable products. However, there are few studies on product design and development among those related to promoting platform product services and sales. Meanwhile, design strategies focusing on real consumer needs are scarce among smart wearable product design studies. Therefore, an empirical consumer demand analysis method is proposed and design development strategies are formulated based on a categorized interpretation of demands. Using representative smart bracelets from wearable smart products as a case, this paper classifies consumer demands with three methods: big data semantic analysis, KANO model analysis, and satisfaction analysis. The results reveal that analysis methods proposed herein can effectively classify consumer demands and confirm that differences in consumer demand categories have varying impacts on consumer behavior. On this basis, corresponding design strategies are proposed based on four categories of consumer demands, aiming to make product design the leading factor and promote consumer behavior on e-commerce platforms. This research further enriches demand research on smart wearable products on e-commerce platforms, and optimizes products from a design perspective, thereby promoting consumption. In future research, different data analysis methods will be tried to compare and analyze changes in consumer demands and influencing factors, thus improving research on impact factors of product design in e-commerce.

• Human Ecology Research
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• v.56 no.1
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• pp.15-32
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• 2018

This study analyzes difference in consumers' and front-line workers' perceptions on 'consumer complaint behavior with hateful intentions' though the Co-orientation Model in three dimensions. In addition, we seek to contribute to reducing the conflict between consumers and front-line workers in the service contact point by finding factors that affect the difference in perception between two parties. This study findings and implications are as follows. First, Taking a look at the mutual orientation between consumers and front-line workers, mutual perceptions have been found to match in agreement but with a significant difference in perceived agreement (congruence), which indicates that the internal perceptions of both consumers and front-line workers do not match. The findings confirm that consumers and front-line workers have different perspectives on consumer complaint behavior with hateful intentions and therefore raise a need for efforts and institutional devices for improvement. Second, the study has found that consumers' economic responsibility as part of their social responsibilities and front-line workers' perceptions on consumers' civic responsibility affect the perception difference between these two groups and suggest a need for educating consumers about economic responsibility. Meanwhile, unlike consumers, front-line workers view consumers' complaint behavior with hateful intentions from an ethical point of view, raising a need for a transition of perspectives on complaint behavior with hateful intentions.

• Journal of Distribution Science
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• v.12 no.10
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• pp.57-65
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• 2014

Purpose - This study aims to identify the effect of corporate eco-friendly marketing, which focuses on corporate social responsibility, on the environment, natural preservation and protection, and environmental concern among consumers. Research design, data, and methodology - A total of 92 valid questionnaires were used for analysis. A structured model was established and a 3-step mediated regression test was employed to see how consumers' perception of ethical consumer behavior and price sensitivity are influential in relation to the impact of consumer's perception of eco-friendliness on the using intention in relation to eco-friendly products. Results - Three factors of eco-friendly perception all have a positive impact on ethical consumer behavior, thus lowering their price sensitivity. In particular, it is found that environmental knowledge and environmental concern are important to promote ethical consumer behavior. Conclusion - It is found that, to increase the using intention of eco-friendly products, an enterprise should practice an eco-friendly marketing strategy, deliver eco-friendly related knowledge, and include contents to allow consumers to take an interest in the environment for effective performance of marketing.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.148-163
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• 2024

With the digitalization of production and consumption environments, consumers are no longer merely targets of marketing, but key players in creating value jointly with companies by participating in various decision-making processes. Much virtual content in particular, such as fashion shows, exhibitions, games, social activities, and shopping, which fashion brands implement in virtual worlds, cannot be completed without consumers' active engagement and interaction. Thus, this study considers consumers' participation in virtual content provided by fashion brands as value co-creation in virtual worlds. This study aims to examine how consumer (i.e., consumer smartness) and fashion firm (i.e., perceived intellectual capital) factors influence value co-creation behavior intention in virtual worlds. Data were collected from 410 consumers in their 20s nationwide through an online survey, and a higher-order structural equation modeling analysis was conducted to test the research model. The results showed that both consumer smartness and perceived intellectual capital positively influenced customer participation behavior and citizenship behavior intentions. Specifically, perceived intellectual capital had a greater impact on value co-creation behavior in the virtual world than consumer smartness. The findings provide empirical evidence that the fashion firms' intangible assets and consumers' competence in the digital shopping environment encourage their intentions to co-create value in virtual worlds.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.2
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• pp.266-280
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• 2017

This study predicted consumer approach/avoidance behavior through consumer emotional experiences and examined the moderating effect of perceived surprises in the context of digital signage in store environments. A self-administered questionnaire consisted of consumer emotional experience (e.g., pleasure, arousal, and dominance), approach-avoidance behavior and perceived surprise by digital signage. A total of 278 usable responses were obtained from consumers who experienced digital signage at fashion retail stores. The findings support the Mehrabian-Russell model in the context of digital signage. Approach behavior was predicted by pleasure and arousal emotional experience, while avoidance behavior was predicted by dominance. The moderating effect of perceived surprise was also indicated in the effect of emotional experience on approach or avoidance behavior. In the high level of perceived surprise, pleasure and arousal had significant effects on approach behavior, whereas dominance had significant effect on avoidance behavior. This study discussed theoretical and managerial implications for creating emotional experiences and developing strategic store management by utilizing new digital technology within the fashion retail environments.

• Journal of Distribution Science
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• v.17 no.7
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• pp.15-25
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• 2019

Purpose - e-Commerce is now one of the alternatives in shopping. Ease of Use and convenience aspects are the main supporting reasons that e-commerce is a trend for most people today. This study examines the relationship between the theory of technology to consumer behavior in using e-commerce applications. Research design, data, and methodology - The number of samples in this study was 600 samples from four major e-commerce made in Indonesia. The research method of this study Structural Equation Model (SEM) with AMOS and SPSS applications as analysis tools. Results - The results of this study state that most hypotheses support prior research and grand theory. On the other hand, the components of technology acceptance theory are mostly able to moderate variable consumer behavior in the digital era. Conclusions - The combination of essential elements of technology theory are oriented to the fundamental aspects of human beings as social beings. The most important thing for the development of the e-commerce industry to develop and be sustainable is the obligation to increase consumer confidence. The combination of components of technology theory and CCT can be a comprehensive marketing strategy and innovation to competitive advantage in the future.