• Journal of the Korean Society of Costume
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• v.65 no.7
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• pp.86-100
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• 2015

This study is to investigate the relationships between heel height and macro-economic factors - recession and unemployment; and to analyze the time lags reflecting economic factors on heel height index using U.S. data. The life-history evolution theory was applied to propose the relationships studied. The data for the heel height measurements of women's shoes - pump style only - were obtained from US Vogue fashion editorial sections on spring and fall editions from 1950 to 2014. I divided the heel height by the length of the shoes in order to standardize the data. Total of 1581 samples were used, and heel height data were aggregated to create a yearly average. To explore the relationships between macro-economic factors and heel height, this study used OLS of Stata 13 program. The main findings show that unemployment rates influenced heel height for three years in a positive direction. Furthermore, the effects of unemployment rate from two years ago on the current heel height were very close to being on a significant level.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.82-93
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• 2019

Fashion cannot encourage co-consumption with other people as a personal item, but it can lead to new consumer needs if fashion sharing service can professionally replace the time and cost of purchasing and managing goods. The purpose of this study is to empirically investigate the factors influencing the acceptance of fashion-sharing services based on the integration theory of user acceptance and utilization (UTAUT), and to discuss the virtuous cycle and sustainability pursuit of resources through the activation of the sharing. In this study, the research model for the acceptance of fashion sharing applications is schematized, and the survey was conducted 300 women aged 20~49 years. The screens of 'Project Anne', a representative fashion sharing service in Korea, were provided as a visual data. Reliability analysis, correlation analysis, confirmatory factor analysis, structural equation analysis, and multiple group analysis were performed using SPSS 23.0 and AMOS 22.0 statistical package for statistical analysis. As a result, efficiency and social influence positively influenced behavioral intention to use, and age has found that efficiency and social influences modulate the intensity of behavioral intention to use. Therefore, for the consumer acceptance and activation of fashion sharing services, marketing activities emphasizing efficiency and strengthening social influence factors are essential. Also, it is necessary to maintain the existing target group, 30~40s, and also construct additional products and price services for the 20s. This study is of academic significance in presenting basic data for empirical research on consumer acceptance of fashion sharing, and suggests a study on the influence relationship among user experience components for real users in the future.