This study aims to analyze consumer perceptions of the metaverse platform and luxury fashion brands in relation to consumer lifestyles, thereby providing foundational data for future marketing strategies of fashion brands using the metaverse. A survey on the lifestyle and perceptions of the metaverse, as well as on luxury fashion brands, was conducted among 300 men and women between their 20s and 40s. Statistical analyses included frequency analysis, cross-tabulation, chi-square (χ2) analysis, factor analysis, cluster analysis, one-way ANOVA, and Duncan's post-hoc test. Factor analysis of the participants' lifestyles revealed five distinct types: "Indifferent," "Social, individual, and leisure-oriented," "Trend-leading and brand-oriented," "Appearance and fashion-oriented," and "Self-improvement-focused and individualistic" types. The analysis of luxury fashion brand perceptions based on lifestyle types showed that the "Trend-leading and brand-oriented" type had higher awareness and preference for brands such as Gucci, Burberry, and Balenciaga, while the "Indifferent" type showed lower levels of awareness and preference. Regarding brand perception related to luxury fashion brand content experiences within the metaverse, Gucci, Burberry, and Balenciaga showed consistent results across all types. Specifically individuals classified under the "Trend-leading and brand-oriented" category exhibited higher awareness and preference for these brands within metaverse experiences, while those categorized as "Indifferent" displayed comparatively lower levels. Therefore, digital marketing strategies targeting consumers under the "Trend-leading and brand-oriented" category are expected to be highly effective for luxury fashion brands. This study is poised to contribute to the expansion of the marketing landscape within the metaverse virtual world for fashion.
Journal of Family Resource Management and Policy Review
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v.14
no.4
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pp.239-262
/
2010
This study looks at the patterns of married women's lifestyles and verifies whether there are differences in their preferences, the will to continue shopping, and the importance of healthy foods. The paper analyzes the relative influence of each lifestyle pattern on the level of satisfaction with healthy foods. The results of the analysis of this study are as follows. To find patterns in the lifestyles of married women ages 20s to 50s, the factors were analyzed and five lifestyle patterns were extracted: health managing type, fashion pursuing type, self-expressing type, family-oriented type, and eco-friendly type. If we examine the purchasing of healthy foods for each lifestyle, women with a self-expressing lifestyle gain more information from news articles, books, and salespeople than from other information sources. Women of the health managing, family-oriented, and eco-friendly types had high purchasing frequencies and amounts. A cluster analysis was carried out to categorize the different groups being investigated into lifestyle types. They were categorized into the four clusters: active multiple-oriented type; fashion, self-expressing compromising type; passive well-being oriented type; and family and health managing type. It has been verified that there are differences among the clusters in terms of the level of importance of products, contributions to health, as well as distribution and management of healthy foods. To be more specific, the level of importance of the products as well as their distribution and management manifested as being higher among the active multiple-oriented type and the family-oriented and health managing types. The level of importance of contributions to health scored high among all groups, except the passive well-being oriented type. The active multiple-oriented type and the family-oriented and health managing types showed a high level of preference and will to continue purchasing healthy foods, while the fashion and self-expressing compromising types and passive well-being oriented type showed a low level of preference and will. In order to find patterns in the level of satisfaction with healthy foods, three factors were analyzed: credibility of labels, contributions to health, and satisfaction with the store. The factors that had the greatest influence on the total level of satisfaction was the credibility of labels for the family-oriented lifestyle; a product's contribution to health for the health managing lifestyle; and the store for the fashion pursuing lifestyle.
The purpose of this study was to observe premium handbag users who are 20 to 30 year old of age, to determine purchase behavior and design preference of handbags by lifestyle and age variable to help market segmentation. A survey instrument was used. A sample was selected by quota sampling method from 20 to 30 aged Korean women, and reliable 538 data were analyzed by SPSS. Cluster type towards lifestyle and age were independent variable. There are two types of lifestyle clusters toward luxury handbags; Strongly favored and weakly favored group toward luxury handbags. Strongly favored group of luxury goods considered more brand, country of origin, and trend, while young people considered more new arrival of design in purchase of products. Preferred design type of hand bag was statistically associated with age variable. 20s consumers preferred shopper bag style and big size of handbags. Leather was preferred by the group of the strongly favored luxury goods. Through this research finding, we hope handbag brand market segmentation will be based on lifestyle and age variable to reflect customer's demand.
This study aims at analysing the differences on visitors' satisfactory level based-on personal lifestyles in a Korean national park. The lifestyles were classified and differences of satisfaction level among the groups were verified from a questionnaire survey in Bukhansan National Park, Korea. Lifestyles by the factor analysis, 5 factors were sorted. 4 clusters classified as the suitable clusters by clustering analysis. As a result from differences of satisfaction level on the lifestyle types, satisfaction level for each cluster has been shown to be statistically meaningful difference. Satisfaction level in active tendency cluster was the highest among the 4 cluster types(Social>Individual>Passive cluster). Satisfaction differences according to the lifestyles suggests that a fragmented approach is needed rather than an integrated approach for managing facilities and programs in Korean national park system.
The purpose of this study was to develop a lifestyle scale for one-person hair salon users and to identify differences in store choice factors and hairstyle pursuit behaviors according to lifestyle types. Data was collected by survey, with 225 responses being included in the analysis. Data analysis was performed using cross-analysis, factor analysis, Cronbach's α, cluster analysis, ANOVA and the Duncan-test using SPSS 23.0 analysis software. The results of the study were as follows. First, one-person hair salon users were classified according to the following lifestyle groups: The rational appearance management group, the passive appearance management group, and the discriminative appearance management group. Second, store choice factors according to lifestyle group showed significant group-specific differences in relation to store atmosphere, accessibility, and promotion. Conversely, comfort of space in store and word-of-mouth recommendation message were high for all three groups, indicating that these are important factors in relation to store selection. Third, with regard to hairstyle pursuit behaviors according to lifestyle, the discriminative appearance management group showed the same characteristics as high involvement groups that regard all dimensions of hairstyle pursuit behavior as important. The results of this study can be used to suggest efficient operations for one-person hair salons and to suggest differentiated marketing strategies to increase the demand of one-person hair salon users.
The purpose of the Present research is to investigate the effect of fashion lifestyle on babies' clothing shopping attitude of housewives. In this study shopping attitude includes criteria for shop selection prefered types of shop and prefered shop atmosphere. Subjects are 447 housewives residing in Seoul Bundang Illsan and Pungchon and having child under 4 years old Data was analyzed by factor analysis cluster analysis analysis of variance and chi-square. The results of the study are as follows: 1. Housewives can be classified into four groups according to their fashion lifestyle the group of planned buying conservative/practical group the group of self-actualization/individuality and the high involved and care for shopping group. 2. Fashion lifestyle is different according to their age. The high involved and care for shopping group have the lager proportion in twenties than thirties. The conservative/practical group have a larger proportion in thirties. 3. The factors of shop selection which serve as criteria for shop the quality of service encironment anround shop quality of goods convenience to care about babies fashionable goods location of the shop and price of goods. The group of self actualization/personality prefers shops carrying fashionable and unique style of babies clothing and showing prestige. The conservative/practical group prefers shops carrying good quality clothing and having variety in size and design. The high involved and careful shopping group prefers shops having wide space as well as carrying fashionable goods. 4. Among the types of babies clothing shops. department stroe is the most preferred Low-price brand shop is followed by traditional open market. The conservative/practical group and the group of planned shopping use department strores national bran shops street shops and import shops more often than other groups. 5. The result of the study indicates there are considerable differences in housewives attitudes of babies clothing shopping acording to their own fashion lifestyle. Therefore the retailer of babies clothing should decide their marketing policy on the basis of the understanding and analysis of costomer's fashion lifestyle. And they have to reflect their costomer's shopping attitudes on their marketing policy to improve the satisfaction of both consumer and retailer as well.
Mobile easy payment is a term for using mobile devices to facilitate financial transactions. Mobile easy payment is a quickly emerging practice, supported by the dramatic increase of mobile phone or device users around the world. The purpose of this study is to classify user's group of the mobile easy payment service by their lifestyle based on I-VALS type and to investigate differences in usage behavior among the user groups. For empirical study, a questionnaire survey was carried out with users of mobile easy payment services using the Internet from June 7 to 10 in 2016. We conducted factor analysis for I-VALS, usage factors, satisfaction factors. We also performed cluster analysis for group classification, and analysis of variance, cross analysis to compare the different usage behavior among the user groups. In analysis results, first three cluster appeared including "ICT task-oriented group", ICT positive and socialities oriented group", "ICT leader-oriented group". Second, it was found significant differences among the clusters about factor of "easy of use", "securities", "universality", "satisfaction". Third, we showed that there were significant differences in time first used the service. Based on these findings, we provide practical implications. Results of our study can be expected to provide the basis of differentiated marketing strategy of mobile easy payment services.
Recently elderly has been recognized as a healthy and active generation because of extended average life span by medical development, interests in health, and achieved economic power while elderly was regarded as a passive and dependant generation before. The primary purpose of this study was to analyze the lifestyle types and housing consciousness of the middle ages around fifty's who will have more inclinations in the future to consider the hosing problems of elderly. To collect the data, LOV survey method was used for 600 middle ages about their lifestyles and future housing types. The data analysis used SPSS PC 12.0 to find the frequency, chi-square, factor analysis, and cluster analysis. The results of analysis are as follows: First, the lifestyle was segmented into five groups and there were differences on demographics such as education and income, also on housing sizes and types of home-ownership types. Second, there were different preferences on the types of senior housing by different lifestyles whereas there were similar on the location and sizes of houses by different clusters.
With the recent increase in the number of one- and two-person households, demand for small-sized apartments has been on the rise, and lifestyles have seen swift changes to cater to smaller-sized housing. The construction market is shifting toward small-sized apartments, and research is now needed on the lifestyles of those living in small-sized apartments in order to develop suitable housing units. Therefore, this study aims to produce a planning concept for housing units by lifestyle, categorizing residents based on lifestyle and identifying their LDK preferences. Regarding methodology, prior research was reviewed to validate housing-related lifestyle factors and study the lifestyles of those living in small-sized apartments. Lifestyle categories based on housing type were determined by a cluster analysis, and LDK preferences for each lifestyle were analyzed through a survey. These data were then used to propose a planning concept with small-sized apartments for each lifestyle type. Thirty-two factors for categorizing lifestyles were obtained by studying three domains of housing-related lifestyle factors: 'housing values', 'attitudes toward living space', and 'behavior in living space; A total of 648 people living in small-sized apartments were classified into three lifestyle groups: 'True Family Benefiters', 'Smart Shopaholics', and 'Slow Heritage Pursuers'. 'Each group's lifestyle characteristics and socio-demographic features were used to classify the lifestyles of those living in small-sized apartments. The LDK preferences for each lifestyle were analyzed to design a planning concept for small-sized apartment.
Journal of the Korean Society of Clothing and Textiles
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v.19
no.1
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pp.57-70
/
1995
The purpose of this study was to identify clothing behavior of elderly women and compare the clothing behavior by different types of lifestyle among females aged 50~69. A questionnaire was developed to measure the clothing behavior, lifestyle and demographic characteristics. The questionnaire was administered to 445 females aged 50~69 during february and May of 1994. Data were analyzed by using factor analysis, cluster analysis, ann MANOVA. The results of this study were as follows; 1. The lifestyle factors were derived: they were Economics oriented, Leisure oriented, Traditional family oriented, Consumption oriented, Self-confidence oriented, and Independence oriented. The respondents were categorized into five groups such as Conservatives, Independents, Pleasure seekers, Positivists, and Material seekers. 2. Symbolism, interest, aesthetics and management showed significant differences in different lifestyle groups. 3. Comfort, modesty, and approval showed significant differences in age and family lifestage. Dependence, management, comfort, modesty, and approval showed significant differences in marital status. Aesthetics, comfort, dependence, interest, modesty, and symbolism showed significant differences in educational level and the money they can spend on clothes in one month.
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