Journal of the Korean Society of Clothing and Textiles
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v.47
no.5
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pp.822-838
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2023
Reselling, an activity of purchasing high-scarcity products and selling them back at high prices, has gained popularity among those in their 20s and 30s in recent years. This study examines the resell activity process of the MZ generation using the online second-hand platform and its inherent meaning. Interviews with 15 participants in their 20s and 30s showed that respondents have four purchase stages: being influenced by social media, collecting and comparing information using various social media, purchasing efforts, and post-purchase behavior. The research derived three inherent meanings of resell activities: (1) means of self-presentation and differentiation, (2) confirmation of investment skills and aptitude to lead fashion trends, and (3) pleasure of consumption. Respondents indicated meeting self-satisfaction through public selfies on social media. In addition, they emphasized the empirical pleasure during the buying journey by collecting product information, comparing prices, and negotiating with buyers. Our findings confirm the spread of resell activities from minority groups to enthusiastic youth. This study is significant for focusing on fashion products that attract attention in the resell market and examining the respondents' consumption experiences from various perspectives.
Recently, with the MZ generation's entry into society and the social participation of the female population, conflicts are occurring between workplace groups that value WLB and existing groups that emphasize collaboration due to differences in work orientation. Public institutions and companies that utilize work-life balance support systems show differences in job Commitment depending on the nature of the work and the activation of the support system. Accordingly, it is necessary to verify the effectiveness of the WLB support system actually operated by the company and present universally valid standards. The purpose of this study is, first, to verify the effectiveness of the support system for work-life balance and to find practical consensus amid changes in policies and perceptions of the working environment. Second, the influence of work-life balance level and job immersion according to work characteristics was analyzed to verify the mutual influence in order to establish standards for WLB operation that reflects work characteristics. For the study, a 2X2 matrix model was used to analyze the impact of work-life balance and work characteristics on job commitment, and four hypotheses were established. First, analysis of the job involvement level of conflict-type group members, second, analysis of the job involvement level of leading group members, third, analysis of the job involvement level of agreeable group members, and fourth, analysis of the job involvement level of cooperative group members. To conduct this study, an online survey was conducted targeting employees working in public institutions and large corporations. The survey was conducted for a total of 9 days from October 23 to 31, 2023, and 163 people responded, and the analysis was based on a valid sample of 152 people, excluding 11 copies that were insincere responses or gave up midway. As a result of the study's hypothesis testing, first, the conflict type group was found to have the lowest level of job engagement at 1.43. Second, the proactive group showed the highest level of job engagement at 4.54. Third, the conformity group showed a slightly lower level of job involvement at 2.58. Fourth, the cooperative group showed a slightly higher level of job involvement at 3.80. The academic implications of the study are that it subdivides employees' personalities into factors based on the level of work-life balance and nature of work. The practical implications of the study are that it analyzes the effectiveness of WLB support systems operated by public institutions and large corporations by grouping them.
Currently, the domestic traditional market has not escaped the swamp of stagnation that began in the early 2000s despite various projects promoted by many related players such as the central government and local governments. In order to overcome the crisis faced by the traditional market, various R&Ds have recently been conducted on how to build a smart traditional market that combines information and communication technologies such as big data analysis, artificial intelligence, and the Internet of Things. This study analyzes various previous studies, users of traditional markets, and application cases of ICT technology in foreign traditional markets since 2012 and proposes a model to build a smart traditional market using ICT technology based on the analysis. The model proposed in this study includes building a traditional market metaverse that can interact with visitors, certifying visits to traditional markets through digital signage with NFC technology, improving accuracy of fire detection functions using IoT and AI technology, developing smartphone apps for market launch information and event notification, and an e-commerce system. If a smart traditional market platform is implemented and operated based on the smart traditional market platform model presented in this study, it will not only draw interest in the traditional market to MZ generation and foreigners, but also contribute to revitalizing the traditional market in the future.
This study analyzed successful cases of using metaverse in a reality where interest in metaverse is increasing. The use of Metaverse is mainly used in companies to explore its industrial potential or government agencies strive for policy support, but the possibility of application in educational institutions has another meaning. We tried to find the success factors and future implications by analyzing actual cases of using metaverse at university entrance ceremonies. As a result of analyzing the case of S University in Asan, Chungcheongnam-do's metaverse entrance ceremony, it was determined that the university's first metaverse entrance ceremony could be counted as a very meaningful success story. Specifically, on the technical level, it stood out that the existing metaverse technology and the new technology for the event were properly harmonized. At the organizational level, it is meaningful that the internal organization's resources were efficiently utilized based on previous experiences. On the environmental level, the COVID19 environment and the MZ generation. It was analyzed that the social change of going to college contributed to the planning and success of the metaverse entrance ceremony. As a result, it is judged that the successful use of the resources possessed by a clear goal is the success factor of the metaverse entrance ceremony.
Journal of the Korean Applied Science and Technology
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v.40
no.6
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pp.1521-1532
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2023
This study was done to identify the face-to-face and non-face-to-face student counseling experiences of nursing students during the COVID-19 period. Data were collected through interviews with 10 students at S Women's University in Gyeonggi-do from December 2022 to April 2023. All recorded data were analyzed using an inductive content analysis method. As a result of the study, two themes, four categories, and eight subcategories were found. Themes were 'factors promoting counseling' and 'Non-facilitating factors in counseling'. The first theme category was 'adaptation to new counseling methods' and 'pursuing convenience as the MZ generation', and the second theme category was 'resistance to counselling' and 'discrepancy from the desire for mutual relationships'. Through this study, it was helpful to understand that student counseling is essential for nursing students and what the most appropriate and useful counseling method is. Additionally, this study provided important evidence to lay the foundation for comparative research on face-to-face and non-face-to-face counseling among research participants according to gender and major. Further suggests research to develop a student counseling program for nursing students and confirm its effectiveness.
Kim, Young-ju;Kim, Hee-sook;Jung, Jin-il;Kwon, Sun-young;Jeong, Yoo Kyung
Journal of Korean Library and Information Science Society
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v.52
no.2
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pp.401-428
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2021
Recently, libraries are trying to communicate with users using various social media. Among them, Instagram is the most used SNS by users recently. Therefore, in this study, in order to effectively operate the library Instagram, we looked at how Instagram in the library is operated, what posts and contents people are interested in, and how the library can utilize it. By analyzing the Instagram operation status of Instagram, we tried to suggest improvement plans and activation plans. For this purpose, theoretical background research on SNS and Instagram, analysis of prior research, and related data were collected and analyzed. Next, for 82 domestic library accounts opened on Instagram, the library type, region, and Instagram account number of posts, 'followers', 'follows', images, etc. were collected, and the Text, hashtags, upload date, number of 'likes' and comments were analyzed. As a result of the study, it was found that increasing followers, uploading user-customized posts, formalizing account profiles, using library-specific hashtags, and communication with users are necessary to activate library Instagram.
Journal of the Korea Fashion and Costume Design Association
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v.26
no.1
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pp.45-60
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2024
This study analyzes the athleisure wear purchase status, wearing conditions, and design preferences of men in their 20s and 30s and provides basic data for the development of men's athleisure wear that reflects consumer preferences. An online survey was conducted on 200 men from August 23 to August 27, 2023. The questionnaire consisted of a total of 48 questions, including 8 questions about the respondent's general information, 19 questions about the purchase status of athleisure wear, 6 questions about the status of wearing athleisure wear, and 15 questions about athleisure wear design preferences. The survey results are as follows. The most common motive for exercise participation was 'maintaining health.' 'Nike' was the most preferred and purchased brand among athleisure wear brands, and the main place of purchase of athleisure wear was 'Internet and mobile shopping malls', reflecting the recent purchasing trend of the MZ generation. When purchasing athleisure wear, the most common selection criterion was 'design', followed by 'fitting comfort', 'possibility to use as daily wear', and 'price'. The most common route to obtain purchase information was 'Internet search', and the 'overall satisfaction' with athleisure wear was found to be satisfactory with an average of 3.83. The most common reason for wearing athleisure wear was 'because it is comfortable to do activities', followed by 'because it can be used as everyday wear'. Lastly, 'black', 'short-sleeved t-shirt', 'short length' sleeve, 'round neckline', 'waist length', and 'relaxed loose fit' were preferred for the top design, and 'black', 'shorts', 'full elastic type' waistband, 'regular fit that fits the body well' were preferred for the bottom design.
The scale of the industry utilizing the Metaverse platform is gradually growing around the world. Fashion brands are also starting to utilize the Metaverse platform as a new market to replace the next e-commerce platform by targeting new consumers, MZ generation, and even Alpha generation. In this study, a real K-fashion designer's outfit was made into a 3D outfit using CLO 3D program to express it in a new market, the Metaverse 3D platform. It was then compared with a real outfit. An avatar prototype was completed using Max program to simulate the 3D digital fashion outfit and produce an avatar through an optimization process. The 3D outfits showed the same level of results as the actual outfits in terms of fabric surface, material texture, drapability, overall outfit, details, and trimmings. In addition, we proposed a 2D work on total styling suggestion and modeling to secure data sets for future AI-based styling services. In conclusion, this study revealed that actual outfits and 3D outfits had the same results. It is significant that it can be a sample work to build a styling data set through styling suggestion and content production as a significant amount of styling DB construction will be required before AI styling automation services.
Background and objective: The purpose of this study was to comprehensively analyze the user behavior in order to cope appropriately with the increasing demand for mountain usage of those in their 20s and 30s and to allocate resources efficiently. Methods: To analyze the behavior of mountain hiking users, an exploratory data analysis (EDA) was conducted on the data which had been collected in the app Tranggle. The main target are users in their 20s and 30s who visited the mountains in the metropolitan area in 2019-2020. Among them, we have selected data on the top 13 mountains based on the frequency of visits. After data pre-processing, mountain usage patterns were analyzed through statistical analysis and visualization. Results: Compared to 2019, the number of users in 2020 increased 1.36 times. The utilization rate of the well-established hiking trails has also increased. The usage of mountain on weekends (Saturday > Sunday) was still the highest, and the difference in the usage between the days of the week decreased. Outside of work hours, early morning usage has increased and night-time usage has decreased. There was no significant change in usages depending on activity type, level (experience point) and exercise properties. Conclusion: Since the COVID-19 outbreak, the usage of mountains has been changing towards low user density and short-distance trip. in the post-COVID-19 era, the function and role of forests in daily life are expected to increase. To cope with this, further research needs to be carried out with consideration of the wider demographic and social characteristics.
Christopher Nemeth is a designer who combines characteristics of a pioneering upcycle design and deconstructionist design with fabrics, waste clothing, and pieces of fabric recycled in the 1980s. By hommaging his work from the Louis Vuitton 2015 F/W collection, Kim Jones is once again becoming a source of design inspiration in an era where upcycling fashion is attracting attention. Accordingly, an upcycling design approach might appeal to the MZ generation. Christopher Nemes' design presented in this study as a representative fashion designer of dismantling upcycling is basically based on dismantling. It can also be interpreted as dismantling upcycling design because it uses used clothing, waste clothing, and discarded fabrics as materials. This study examined main techniques of upcycling fashion design and derived characteristics of Nemes design as "deconstructive techniques using free lines of construction," "recycling upcycling vintage materials and clothing accessories," and "using handcrafted techniques of artistic sensibility." By applying Nemes' dismantling upcycling technique, four designs were developed for men's top and bottom sets for targets in their 20s and 30s to suggest the commercialization possibility. This study is meaningful in that it proposes a methodical alternative to the new deconstructionist upcycling design that can show Nemes' aesthetic characteristics, creative perspective, and personality by modernly reinterpreting the deconstructionist upcycling technique extracted through analysis of fashion designer Christopher Nemes' design. In particular, by actually producing the work and confirming whether the design technique can be implemented, the value as a fashion product that can be sold is realized.
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