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Review of Domestic Sleep Industry Classification Criteria and Aanalysis of characteristics of related companies

  • Yu, Tae Gyu (Department of Geriatric Welfare, Namseoul University)
  • Received : 2022.02.17
  • Accepted : 2022.02.23
  • Published : 2022.03.31

Abstract

After COVID-19, the number of people with sleep disorders around the world is increasing. In particular, in the flow of the 4th industrial revolution, the differentiation of types and characteristics of the sleep industry is accelerating. Therefore, in this study, the characteristics of each type of sleep-related industry were reclassified from an industrial point of view, and based on this, an attempt was made to review the classification system that can help companies develop sleep products and improve related national systems. Based on the 10th standard industry classification, we compared input cost, value, and usability and analyzed common characteristics, treatments, and preventive effects based on this. A comprehensive taxonomy using matrix analysis was reviewed. As a result, in terms of cost (A), the most common sleeping products are general mattresses and general bedding. It is an IOT device (auxiliary device), and the value aspect (B, B/D) included sleep cafe, bedding rental and management service, and sleep consulting. In terms of utility (A/B), a total of 6 product groups including sleep aids (health functional foods) belong to this category, and in terms of treatment (A/C), a total of 3 product groups including sleep clinics (medical services) belong to this category. As for the product group (A/D) with both properties, it was found that non-insurance sleep treatment medical devices, sleep-related over-the-counter drugs, and some sleep monitoring applications belong to this category. Ultimately, it was found that the sleep industry classification enables the most active product development and composition according to the relative relationship between cost and utility, and treatment and utility. appeared to be necessary.

Keywords

References

  1. R Robillard, AR Daros, JL Phillips, M Porteous, M Saad, MH Pennestri., "Emerging New Psychiatric Symptoms and the Worsening of Pre-existing Mental Disorders during the COVID-19 Pandemic: A Canadian Multisite Study: Nouveaux symptomes psychiatriques", The Canadian Journal of Psychiatry Vol.66 No.9, p.815-826, 2021. https://doi.org/10.1177/0706743720986786
  2. Sleep Industry Survey Report, KHIDI (2019)
  3. Taegyu, Yu, "Research on Development Strategy Based on Domestic Sleep Industry Survey", International Journal of Internet, Broadcasting and Communication vol.12 No.2 p.59-65, 2020 https://doi.org/10.7236/IJIBC.2020.12.2.59
  4. Seonjeong, Kim, Dongjun, Kim, Eunna, Kim, Taegyu, Yu, "Correlation with adequate sleep by occupational type of economically active population in Korea", Journal of Hospital Management vol25, No.3 p.67-77
  5. Airhihenbuwa, C. O., Iwelunmor, J. I., Ezepue, C. J., Williams, N. J., & Jean-Louis, G., "I sleep, because we sleep: a synthesis on the role of culture in sleep behavior research. Sleep medicine", No.18, p.67-73, 2016.
  6. Kingston, S., "Insomnia and identity: The discursive function of sleeplessness in modernist literature." , 2015
  7. Thyssen, J., "Perceived sleep quality is related to subjective well-being, whereas sleep duration is not", 2019.
  8. Jin-Hyun Kim, Young-Jin Go, Young-Jin Jung, Kyung-A Lee, Hyeon-Ji Bae, Eun-Young Park., "Measures to strengthen the efficiency of veterans medical services, " National Veterans Affairs Office, 2012.
  9. Chae-Hyun YOO, Seung-Jung SHIN, "Proposed ICT-based New Normal Smart Care System Model to Close HealthGap for Older the Elderly", International Journal of Advanced Smart Convergence Vol.10 No.2, p.37-44, 2021. https://doi.org/10.7236/IJASC.2021.10.2.37
  10. Namyun Kim, Sung-Dong Kim, "A Recommendation System for Health Screening Hospitals based on Client Preferences". International Journal of Advanced Smart Convergence Vol.9 No.3 p.145-152, 2020. https://doi.org/10.7236/IJASC.2020.9.3.145