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.

Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers’ interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.

In recent years, there has been increasing interest in the senior people in our aging society. This paper will give an account of the current cases of senior shift. The first section of this paper will examine a conceptual approach based on a literature review and analyze case studies of senior shifts by national fashion and beauty brands. It will be helpful for the ‘New Senior’ consumer group, which in emerging in an aging society. The research methods applied were a literature review and a case study, and a database search was conducted to determine the current situation of global brands. The results of the literature review showed that seniors can be classified into four types based on their physical aging condition and emotional tendency: Prime Senior, Smart Senior, Rational Senior, and Slump Senior. The first thing that needs to be said is that the Prime Senior type is found commonly in as a way to appoint a senior model in order to switch brand image. Cases of the Smart Senior type appeared only in the beauty field, which attempted multilateral approaches such as launching products exclusively for seniors and offering make-up services after improving the usability and functionality in response to senior consumers’needs. However, as no cases of senior shift were found for the Rational Senior and Slump Senior types in either the fashion or beauty field, future studies should explore the market approaches used in those categories.

The purpose of this study was to examine the differences of the information searches and purchasing behavior Korean men in their 20s and 30s, focusing on cosmetic involvement. Research methods consisted of qualitative and quantitative approaches. For the qualitative approach, in-depth interviews and participant observations were conducted to investigate male customers' cosmetic characteristics in information searches and purchasing behavior. Then, the study conducted a quantitative study methodology based on the questionnaires from the in-depth interviews, participant observations, and literature review. The study surveyed 340 Korean men in their 20s and 30s. The cosmetic involvement of the target group was classified into the amusing high-involvement group, the rational low-involvement group, and the obligatory high-involvement group. The results from this study indicated that the groups of male customers classified by cosmetic involvement showed statistically significant differences in terms of information searches and purchasing behaviors. Especially, the obligatory high-involvement group generally displayed high-involvement traits likewise the amusing highinvolvement, was more similar to the rational low-involvement group regarding cost effectiveness than the obligatory high-involvement group. Moreover, the classifications of men generally had different characteristics of cosmetic purchasing behavior and information searches than women. This study has a distinctive significance compared with other studies in discovering differences of cosmetic purchasing behaviors of Korean men in their 20s and 30s’ cosmetic involvement groups classified using qualitative and quantitative approaches.