• Title/Summary/Keyword: Staycation

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A Study on the Organic Loungewear Design followed by the LOHAS Trend (로하스 트렌드를 반영한 유기농면 라운지웨어 디자인 연구)

  • Kim, Jung-Hee;Jeon, Hyun-Sil
    • Journal of the Korean Society of Costume
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    • v.62 no.5
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    • pp.88-95
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    • 2012
  • These days, the lifestyle of staycation, a holiday in which an individual or family stays and relaxes at home, or possibly taking day trips to local parks and museums and so on, has increased. For this reason, the market of loungewear has expanded and the meaning of it has developed as a separate home-wear. According to the reflection of this trend, various kinds of loungewear are sold from the internal and external brands; however, most of these loungewears are home-wear and have a training look where esthetic designs are needed. This study is done to benefit those who prefer organic products, known as LOHAS trend. In addition, we developed the loungewear fashion design products, which reflect the LOHAS trend that uses organic cotton for the S/S collection of 2012. The formation of space between body and textile by pleats in these designs on pants, skirts, tops, sleeves, capes connote the meaning of loungewear that give the wearers comfort. As a result of this study, we have reached these final conclusions. First, loungewear is suitable for featuring the human body structure. Second, organic costumes can be preferable and become superior if it combines both functional and aesthetic appreciations. Third, eco-costumes can become more of a formal wear as eco-design achieves qualitative improvement.

An Analysis of the Hocance Phenomenon using Social Media Big Data (소셜 미디어 빅데이터를 활용한 호캉스(hocance) 현상 분석)

  • Choi, Hong-Yeol;Park, Eun-Kyung;Nam, Jang-Hyeon
    • Asia-Pacific Journal of Business
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    • v.12 no.2
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    • pp.161-174
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    • 2021
  • Purpose - The purpose of this study was to examine the recent popular consumption trend, the hocance phenomenon, using social media big data. The study intended to present practical directions and marketing measures for the recovery and growth of the hotel industry after COVID-19 pandemic. Design/methodology/approach - Big data analysis has been used in various fields, and in this study, it was used to understand the hocance phenomenon. For three years from January 1, 2018 to December 31, 2020, we collected text data including the keyword 'hocance' from the blog and cafe of NAVER and Daum. TEXTOM and UCINET 6 were used to collect and analyze the data. Findings - According to the results of analysis, the words such as 'hocance', 'hotel', 'Seoul', 'travel', 'swimming pool', 'Incheon', 'breakfast', 'child' and 'friend' were identified with high frequency. The results of CONCOR analysis showed similar results in all three years. It has been confirmed that 'swimming pool', 'breakfast', 'child' and 'friend' are important when deciding on the hocance package. Research implications or Originality - The study was differentiated in that it used social media big data instead of traditional research methods. Furthermore, it reflected social phenomena as a consumption trend so there was practical value in establishing marketing strategies for the tourism and hotel industry.

Analysis on Cases and Classification of Types for the Construction of K-FARM Framework (K-FARM 프레임워크 구축을 위한 국내외 사례 분석 및 유형분류)

  • Kang, Shin-Gil;Choi, Young-Wan;Kim, Young-Joo
    • Journal of Korean Society of Rural Planning
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    • v.27 no.2
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    • pp.13-22
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    • 2021
  • As the measures for solving problems of modern city and farming & fishing villages through mutual cooperation and complementation, this study aims to present an integrated rural area development model by changing the farming & fishing villages from a food production-focused space to a service space for the whole nation including urban residents, into the direction of creating new vitality and jobs in farming & fishing villages. In order to establish a service space that could increase the life quality and happiness of the people, this study presented the K-FARM framework types that would integrate and arrange total four themes such as rental farm, experience farm, stay farm, and management farm. In case when this K-FARM framework is applied to rural areas adjacent to cities, especially farming & fishing villages around innovative cities, there would be great effects such as expansion of exchanges between public institutions and local residents of innovative cities. Especially, the theme model classified into four types could be applied suitable for the characteristics of farming & fishing village development project district that is currently operated. Meanwhile, to realize the construction of K-FARM framework, on top of demand analysis of rental farm, it would be also necessary to additionally analyze the urban residents' demand for experience farm and management farm.