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사회문화적 요인이 미국 고령층의 복지기술 수용에 미치는 영향: 전문가 인터뷰를 중심으로

An Analysis of Professional's Perspectives on the Roles of Socio-cultural Factors and Welfare Technology among Older Adults in the US

  • 투고 : 2021.05.25
  • 심사 : 2021.08.20
  • 발행 : 2021.08.28

초록

본 연구의 목적은 질적연구방법을 이용하여 미국 고령층의 복지기술 수용성에 영향을 미치는 사회문화적 요인을 추출하고 각 요인과 복지기술 수용성간의 연관성을 분석하여 향후 고령자의 삶의 잘향상을 위한 사회문화적 기반복지기술 수용성 증진방안을 도출하는데 기여하기 위함이다. 10명의 노인분야 전문가와 심층인터뷰를 통해 수집한 자료를 두 차례에 걸친 개방형 코딩 프로세스로 결과를 도출하였다. 자료분석 결과 7개의 주 코드와 주 코드에 중첩된 22개의 2차 코드 등 총 29개의 코드를 통해 사회문화적 요인을 추출하였다. 분석결과 개인주의, 가족중심문화, 실용주의, 저맥락 문화, 프라이버시, 재미추구와 수평적문화 등이 미국 고령층의 복지기술수용에 영향을 미치는 사회문화적 요인으로 나타났다. 이 연구결과는 고령층의 복지 기술사용의도에 영향을 미칠 수 있는 국가별 문화적 차이를 정의하고, 각 요인과 복지기술 수용성간의 관계를 분석하기 위한 설문조사 개발에 기여할 것이다. 이를 위해서는 향후 연구에는 한 국가 또는 국가 간 사회문화적 차이를 설명하는 척도개발이 필요하다.

The purpose of this qualitative study was to identify cultural factors among older Americans that could influence them to accept new welfare technologies. This study also explored how social and cultural-based plans could increase the acceptability of welfare technologies for improving the quality of life of older adults in the future. In-depth interviews were conducted with ten professionals who work with older adults. The collected interview data were subsequently analyzed using a two-cycle open coding process. The data analysis generated 29 codes that were organized into 7 primary codes, or categories, and 22 secondary codes nested within the primary codes. Several themes were identified: individualism, family-oriented culture, pragmatism, low-context culture, privacy, fun-seeking culture, and a less hierarchical culture. These findings will inform the development of a future survey to examine the relationship between older adults' intentions when using technology and socio-cultural factors in community settings. In order to explore the different impact levels of the cultural factors found in this study, the future study will need to include measures for identifying socio-cultural variations among individuals in one country or across countries.

키워드

과제정보

This research project was supported by 2019 National Research Foundation of Korea (NRF-2019S1A5A2A03048377).

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