• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.111-122
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• 2022

Many companies are now studying these generational conflict issues and seeking countermeasures. As seen in the recent performance-based pay issue, the MZ generation is boldly showing their intention unlike the previous generation. This study focuses on LX Hausys' education program to overcome the generation gap. As a representative field education program of LXHausys, it is a longevity education program that was developed and operated at the end of 14 years and has been in operation so far. By acknowledging and understanding the generation gap through this educational program, it was possible to see that they could sympathize and accept each other one step further, and that trust in each other was formed on the basis of it. The success factors of the generation empathy program were identified as the willingness to share perceptions between labor and management, participatory education programs, active participation of members, and overcoming generation empathy. Through such education, the organization should continuously raise the issue of generational empathy and allow members to recognize it as an object to overcome. To this end, efforts should be made to overcome generational differences.

• Human Ecology Research
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• v.60 no.3
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• pp.377-390
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• 2022

This study identified and compared family values within and across different generations concerning gender roles, attitudes toward diverse families, children, and parental roles. Data were obtained from the 2020 Seoul Family Report Survey. There were 1,949 study subjects, including first- and second-generation baby boomers and individuals in generations X, Y, and Z in Korea. Latent profile analyses were conducted using M-plus. Perceptions and views concerning family values were classified into different types. The main findings were as follows. Two types were identified among first baby boomers, and three were identified among second baby boomers. Most of the first and second baby boomers belonged to the "moderate" type. Two types were detected among those in Generation X. Regarding gender roles, most views of Generation X were slightly progressive, while their other family values were more moderate. Three types were identified among those in Generation Y: "progressive," "moderate," and "very liberal." Generation Z was identified as a "progressive" group. This study provides basic data to explore the direction of the coexistence of generations by identifying and comparing diverse family values within and across generations.

• Journal of the Korean Society for Precision Engineering
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• v.24 no.10
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• pp.91-98
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• 2007

This paper describes the development of the calibration system for a multi-axis force/moment sensor and its uncertainty evaluation. This calibration system can generate the continuous forces (${\pm}Fx,\;{\pm}Fy$ and ${\pm}Fz$) and moments (${\pm}Mx,\;{\pm}My$ and ${\pm}Mz$). Many kinds of multi-axis force/moment sensors in industries should be carried out the characteristic test or the calibration with the calibration system that can generate the forces and the moments. The calibration systems have been already developed are the disadvantages of the low capacity, the generation of step forces(10N, 20N ...) and step moments(1Nm, 2Nm ...) with weights, the high coasts in manufacture and so on. In this paper, the calibration system for a multi-axis force/moment sensor that can generate the continuous three forces and three moments was developed. Their ranges are $0{\sim}2000N$ in all force-directions and $0{\sim}400Nm$ in all moment-directions. And the system was evaluated in the expanded relative uncertainty. They were ${\pm}0.0004$ in all forces ${\pm}Fx,\;{\pm}Fy$ and ${\pm}Fz$, and ${\pm}0.0004$ in all moments ${\pm}Mx,\;{\pm}My$ and ${\pm}Mz$.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.135-144
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• 2021

This study investigates the underlying mechanism of YOLO in millennial consumer, especially the influence of perceived economic recession on the present-biased preference. In addition, it was attempted to expand the implicit theory by proposing the individual's entity belief as a mediator for the effect of perceived economic situation on consumers' present-biased seeking behavior. In three experimental studies, undergraduate students who both highly primed and measured negative economic situation showed more favorable attitudes towards present-biased persuasive message and related products. The results of this research provides practical implication for marketers especially in the current situation experiencing economic slowdown due to low economic growth and COVID 19.

• Journal of Fashion Business
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• v.26 no.3
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• pp.50-71
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• 2022

This study aimed to present pioneering data on the use of Metaverse through a case study on the use of Metaverse by luxury brands and to reveal the intrinsic value of Metaverse in the fashion industry. The study was conducted based on literature data such as various articles and papers related to Metaverse and cases of luxury brands. For luxury brands data, we used Interbrand and LYST. As a result, Gucci, Louis Vuitton, Balenciaga, and Burberry were selected. Examples of the use of luxury brands' Metaverse use include; Gucci actively embraced digital technology and used Metaverse technology for the most diverse purposes such as promoting new products, opening seasons, and experiences. Louis Vuitton and Balenciaga focused on the entertainment and games. Burberry focused on promoting and experimenting with new products. As a result of the study, the intrinsic value of the Metaverse is as follows. First, there are no restrictions on time, scale, and institution. Second, active information acceptance is possible; Information can be selectively accommodated through participation and communication using Metaverse. Third, customers and businesses interact in equal positions. As customers participate and communicate, their ties with companies deepen, thus the can create a brand image together. Through Metaverse fashion, customers experiences are not limited to reality and the can directly access optional information. Based on the above examples and values, we hope those fashion companies and Metaverse media will innovate desings to match the trends and the seasons.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.45-60
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• 2023

The purpose of this study is to explore factors that affect millennials and generation Z customers' perception on intention to recommend to use the digital payment services and invesetigate factors that affect perception on sustainable growth of the digital payment services. This study applied the following research questions: i) how perceived brand value, easy to use, personalization, open to public, and social value affect intention to recommend to use the digital payment services and ii) how perceived public policy, promotional strategy, and prspects affect intention to recommend to use the digital payment services to others. This study conducted an online survey. This study applied factor, ANOVA, and regression analysis to test hypotheses. The results of this study found that effects of personalization, open to public, and social value on intention to recommend the service showed significance in the case of millennials, while effects of brand value, easy to use, and open to publis on intention to recommend the service showed significance in the case of generation Z. The results provide managerial and policy implications on how to apply better strategies and pepare policies to enhance adoption of the digital payment service in cases of millennials and generation Z.

• Journal of Arbitration Studies
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• v.31 no.2
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• pp.99-118
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• 2021

The participants in this study were university students, who are millennials and familiar with various devices and SNS enabling hyper connection, such as smartphones, the Internet, and the Internet of Things. People are sustaining their relationships with others by using the latest technology and cutting-edge devices at will. Some purchases are made at offline stores through online information, but products are checked through offline stores and purchased online. The MZ generation, which does not always have a fixed and constant behavioral response pattern, was considered a participant in this study because the response pattern may vary depending on one's tendency to avoid uncertainty. As a result of experimenting with the MZ generation, similar results were found in all dependent variables. Advertorial and general ads treated as independent variables affected the participants' tendency to avoid uncertainty. In other words, uncertainty avoidance tendency and interaction effect were found as a result of verifying the effects on the dependent variable of ads type. In an advertorial, the group with low uncertainty avoidance tendencies showed higher dependent variable effects than the group with high uncertainty avoidance tendencies; in general ads, uncertainty avoidance tendencies were higher. The higher group showed higher dependent variable effects than the lower group. Therefore, the group with a low tendency to avoid uncertainty has a high level of dependent variable effects in the advertorial, and the group with high uncertainty avoidance tendency performs self-interpretation in general ads.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.4
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• pp.133-148
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• 2021

Due to the COVID-19 pandemic, many people started working from home while avoiding unnecessary going-outs. As the 'stay-at-home life' becomes standard daily life, the pajamas market is absorbing young consumers, especially targeting Generation MZ, by using one-mile fashion that breaks down the boundary with everyday clothes. Also, owing to the demand for environmentally-friendly textiles, based on the strengthened environmental regulations, the development of textiles considering the environment is expanding. Thus, the purpose of this study is to develop fashion pajamas using environmentally-friendly textiles targeting Generation MZ. After theoretically considering the current status of recycled PETs and the pajama market by referring to preceding research, relevant books, and Internet data, this study performed the process setting up the design concepts, developing textiles, developing textile designs, and developing pajamas designs. As a result, this study wove two kinds of mixed textiles using recycled PETs and silk with the concept of 'Going out pajamas', and designed a total four patterns to be applied to those textiles, then digitally printed them. Using the developed textiles, this study produced a total four kinds of pajamas that were practical, trendy, and also good to be used as clothes for going-out. The consumers who are exhausted from the limited environment of the COVID-19 pandemic, are requesting comfortable and trendy in & out door fashion. For this reason, the results of this study are significant in the aspect of suggesting the new-normal fashion trend for pajamas designs.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.347-353
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• 2023

Currently, soldiers enlisted in the military (Army) are receiving measurements (automatic, manual) of body parts and trying on sample clothing at boot training centers, and then receiving clothing in the desired size. Due to the low accuracy of the measured size during the measurement process, in the military, which uses a relatively more detailed sizing system than civilian casual clothes, the supplied clothes do not fit properly, so the frequency of changing the clothes is very frequent. In addition, there is a problem in that inventory is managed inefficiently by applying the measurement system based on the old generation body shape data collected more than a decade ago without reflecting the western-changed body type change of the MZ generation. That is, military uniforms of the necessary size are insufficient, and many unnecessary-sized military uniforms are in stock. Therefore, in order to reduce the frequency of clothing replacement and improve the efficiency of stock management, deep learning-based automatic measurement of body size, big data analysis, and machine learning-based "Personalized Combat Uniform Automatic Recommendation System for Enlisted Soldiers" is proposed.

• Journal of Fashion Business
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• v.27 no.3
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• pp.132-149
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• 2023

This study aims to analyze Instagram hashtags based on big data to investigate changes in consumer trends and perceptions of vegan fashion, and to derive strategies for revitalizing vegan fashion brands based on derived results. Among social media, Instagram was selected as a collection channel, and Instagram hashtags for 'Vegan Fashion' were collected from July 1, 2021 to December 31, 2021. After conducting semantic network analysis with the Ucinet 6 program based on the collected data, the CONCOR analysis on vegan fashion showed the following four clusters: 'Veganism practiced with fashion', 'Bag type of vegan fashion brand', 'Sharing vegan fashion', and 'Diversification of eco-friendly products'. Analysis results showed that the Instagram hashtag for vegan fashion confirmed the MZ generation's increased interest in vegan fashion and their thoughts to recommend and share frequently used items or brand products to people around them. CONCOR analysis of vegan fashion brands showed the following four groups: 'Differentiating the material of vegan bags', 'Eco-friendly products of vegan fashion brands', 'Interest in vegan shoes', and 'Donation campaign of vegan fashion brands'. CONCOR analysis on Meaningout showed the following four clusters: 'MZ Generation's Meaningout Start-up', 'Recommendation Platform for Skin Products', 'Value Consumption Trend for Eco-friendly Clothing', and 'Interest in Eco-friendly Packaging'. The results of this study on vegan fashion, a practical eco-friendly movement that can require changes in social responsibility and perception as issues that directly affect animals, the environment, and humans, are expected to provide basic data to help domestic vegan fashion brands develop marketing strategies.