Many fashion brands provide sophisticated customization services with advanced technology. Previous studies have revealed that a high level of customization aided by technology positively influences purchase intention. However, since fashion products are society-approved symbols, brand prestige and consumer propensity are expected to affect purchase behavior of customized products. This study aims to identify the purchase decision mechanism of customized products by identifying the relationships among self-expression, brand prestige, narcissistic disposition, and purchase intention. An online survey was conducted on 220 Korean women in their 20s and 30s with customization experience. The results of the data analysis showed that the affluent customization area and narcissistic disposition positively affected purchase intention. Surprisingly, when brand prestige was high and narcissistic disposition was low, the more affluent the customization area, the higher the purchase intention. However, for higher narcissistic disposition, no significant relationship was found between the customization area and purchase intention. This study provides insights into discriminatory customization strategies based on consumer propensity and the brand prestige level when providing customization services in fashion brands.
Impulse buying has been considered a pervasive and distinctive phenomenon in the modern lifestyle and has been receiving increasing attention from consumer researchers and theorists. In the modern marketplace, spontaneous urges to buy and consume often compete with the practical necessity to delay the immediate gratification that purchasing provides. The purpose of this study is to conceptualize and test the framework of impulse buying behavior for fashion products using structural equation model. Data were obtained from 413 students attending universities during schedules classes in Busan. Analysis of the data, utilizing AMOS 4.1, supported most of the predictions. The results showed that situational variable(time available) and individual variable(fashion involvement) have direct effects on consumers' shopping emotions, including positive and negative emotion. Positive emotions had effects on all types of impulse buying(planned impulse buying, reminded impulse buying, and fashion-oriented impulse buying), while negative emotion affected two types of impulse buying(reminded impulse buying and fashion-oriented impulse buying). These emotional experiences influence impulse buying behaviors for fashion products serving as critical mediators. The findings suggest that time available and fashion involvement are good predictors mediated by shopping emotion to impulse buying behavior for fashion products. The implications of this research for future work on the shopping emotion and impulse buying behavior are discussed.
This study investigated if there are differences between the effects of lifestyle and personality on consumer complaining behavior between Korea and China. Sample subjects of this study were female college students of Korea(Jeollabuk-do and Jeollanam-do) and China(Yunnan). The questionnaire data from 780 college students were analyzed through the following statistical analyses: a reliability analysis, factor analysis, frequency, mean, and multiple regression analysis. The results of the study was as follows. First, the complaining behavior types of college students were divided into 4 factors: third party, breakaway behavior, compensation claim, and negative word of mouth. Second, significant differences were revealed between the dissatisfaction and the conditions of complaining behavior between Korean and Chinese consumers. Third, significant differences were found which were related to the effects of lifestyle and personality on types of consumer complaining behavior between Korea and China. Fourth, the complaining behavior factors of 'third party' and 'compensation claims' of Chinese consumers were higher than those of Korean consumers; however, the 'negative WOM' of Korean consumers were higher than those of Chinese consumers. Fifth, the lifestyle factors of 'fashion orientation, 'rational orientation' and 'activity orientation' of Chinese consumers were higher than those of Korean consumers. The 'achievement orientation' of Korean consumers was higher than that of Chinese consumers. And the personality factors of 'sense of responsibility' of Chinese consumers were higher than Korean consumers. Finally, 'openness' of Korean consumers were higher than Chinese consumers.
Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.
This study investigates differences in demographic characteristics, shopping orientation, perceived risk, and satisfaction after purchase among consumer types. This study classifies consumer types according to their channel transition behaviors between the online and offline channels with a focus on the steps of information research and buying decision in buying decision-making process. The four consumer groups are as follows: off-off type (offline research-offline purchase), on-on type (online research-online purchase), on-off type (online research-offline purchase) and on/off-off type (online and offline research-offline purchase), off-on type (offline research-online purchase) and on/off-on type (online and offline research-online purchase). Data were collected from adults over 20 years old who had bought clothes within one year. The questionnaire was carried out from July, 2019 using a professional internet research panel; in addition, 500 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The findings showed significant differences among the classified consumer groups for consumer demographics, shopping orientation, perceived risk, and purchase after satisfaction. The results imply that consumers show a variety of channel transition behaviors based on demographic variables, shopping orientation, and perceived risk. Understanding and adapting to consumer purchase behaviors will allow company distribution channels to be effectively managed and eventually increase consumer satisfaction as well as company sales volume.
The purpose of this study is to find out the various impulse buying factors which influence the emotion of regret in the internet purchase of fashion products and to measure the differences of regret solution efforts according to impulse buying consumer types. This study surveyed females in their 20s~40s for empirical analysis in August 2012, and it targeted women who have experienced impulse buying of fashion products in the internet mall. 297 subjects were collected for the data, and they were subjects who were selected through online convenience sampling. This study surveyed females in their 20s~40s for empirical analysis in August 2012 who have ever experienced impulse buying of fashion products in the internet mall. Data were collected for 297 subjects who were selected through online convenience sampling. For statistical analysis, descriptive statistics, factor analysis, regression analysis, cluster analysis, and ANOVA were carried out using SPSS for Windows 12.0. The results of this study are as follows. First, it was identified that impulse buying by refreshing, accidental, promotion, recommendation stimulus have significant influence on the regret of consumer after impulse buying. Second, there are significant differences in the factors of impulse buying which influence the regret according to the impulse buying products and the shopping malls. Third, there are significant differences in regret relieving behavior according to the impulse buying consumer types. This study will help internet shopping malls to find out the action plans to handle consumers' regret from impulse buying.
The purpose of this study was to analyze the impact of climate change cognition on clothing behavior of fashion consumers to understand the impact of climate change on the fashion system. An online survey was conducted of 385 people in their 20s-50s working in the fashion industry as well as general consumers. Data collected from surveys were analyzed by factor analysis and t-test. Results are as follow: First, climate change cognition consists of four sub-dimensions, which are 'knowledge of climate change' and 'recognition of climate change in Korea'. Second, clothing behavior related with climate change consists of six sub-dimensions, which are 'environmentally-friendly fashion purchases', 'new clothes-wearing style affected by climate change', 'ethical fashion consumption', 'pursuit of functional fashion', 'pursuit of seasonless fashion', and 'clothes-wearing in response to climate change.' Last, the group with higher cognition of climate change than the group with lesser cognition had significantly higher degree of trying new styles created because of climate change, making ethical fashion purchases, pursuing functional fashion, and wearing clothes in response to climate change.
The purpose of this study was to find out consumer's store patronage mix behavior among different types of apparel stores according to interaction between clothing items and situations. The subjects of this study were female adults who lived in Seoul. The sampling method was quota sampling. The data was obtained from 391 questionnaires. The data were analyzed using frequency, one-way ANOVA, Duncan test, and two-way ANOVA by means of SPSS. The results were as follows; 1. According to, clothing items, store patronage mix of consumer was found to be significantly different in cases of department stores and high-fashion boutiques, brand stores, discount stores of famous brands, mass-wholesale stores and mass-agent stores. 2. According to the situations, patronized store types were found to be significantly different among department store and high-fashion boutiques, brand stores, discount stores of famous brands, mass-wholesale stores and mass-agent stores. In a gift-purchasing situation, department stores and high-fashion boutiques got the highest score, in a self-usage situation, mass-wholesale stores, discount stores of famous brands and brand stores got the highest score. 3. Store patronage mix of consumer was found to be significantly related to the interaction between clothing items and situations. Department stores and high-fashion boutiques have the highest score far a consumer to purchase a suit for a gift, meanwhile brand stores have the highest score for self·usage.
The purposes of this study were to examine the consumer's behavior on the brands applying the characters by gender, age and residential district, and then to propose the future planning of brands applying the characters and distribution strategies. From Junior on middle school to forty-year olds were selected for this study and areas were grouped to five for comparing the residential distinction. The questionnaire was consisted with 25 questions. Nominal scale and 5-interval scale were used for analysis. The SPSS 12.0 was used to analyze the technical statistics such as average, frequency, t-test, ANOVA, and $x^2$. The results of this study were as follows : 1) The characters influenced on remembering the brand's name regardless gender, agen and residential district. 2) When consumer bought the brand with character, the most important factor is the brand name recognition. 3) It would be desirable to use the one or two mixed methods which express the characters on the clothes. 4) When they distribute the character brands, they would supply more feminine characters in 3rd district, more manly one in 4th district and less quantities in the 3rd and 4th district for lowering inventory. The next must be follow to succeed the character using strategy of fashion brands. It is needed to segment the target for new character creation of specific generation, and to grasp the point of the trend which oriented by the target, and to reflect what they like and what they feel sympathy on character image and brand concept.
This study focused on how retail tech promotes differentiated customer experiences in offline fashion stores. The purpose of this study is to determine the effects of the characteristics of fashion retail tech stores on consumers' flow and satisfaction. We surveyed Koreans aged 10 to 50 who had experienced offline fashion retail tech stores. The survey was conducted from April 28, 2023, to May 21, 2023. The total number of survey respondents was 200. The quantitative data collected through questionnaires was analyzed using SPSS 25.0. To reveal the effects of fashion retail tech store characteristics on consumer's flow and satisfaction, frequency analysis, we conducted frequency analysis, factor analysis, reliability analysis, correlation analysis, and regression analysis. The results of this study, figured out that fashion retail tech store's characteristics, including playfulness, efficiency, interaction, and information provision, have a significant impact on behavior flow, emotional flow, and satisfaction. As a result of analyzing the influence of consumers' flow led to satisfaction, it was confirmed that emotional flow positively influenced satisfaction, but behavioral flow had no meaningful effect on satisfaction. The results of our study can be used to make a successful marketing strategy and can serve as foundational data for consumer research on retail-tech-applied offline fashion stores.
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