[논문]한국과 미국 고령자의 복지기술 사용의도 차이 연구: 기술수용 모델을 중심으로

김정근; 강석영

doi:10.15207/jkcs.2022.13.04.421

한국과 미국 고령자의 복지기술 사용의도 차이 연구: 기술수용 모델을 중심으로
Cross-National Differences in the Intention to Use of Welfare-Technology among Older Adults between Korea and the U.S.: Focusing on the Technology Acceptance Model 원문보기

한국융합학회논문지 = Journal of the Korea Convergence Society, v.13 no.4, 2022년, pp.421 - 432

김정근 (강남대학교 실버산업학과) , 강석영 (미국 뉴욕주립대학교 빙햄턴 사회복지학과)

초록
AI-Helper

본 연구의 목적은 국가별 차이가 고령층의 복지기술 사용의도에 미치는 영향을 비교·분석하는데 있다. 이를 위해 기술수용모델과 구조방정식 분석방법을 활용하여, 한국과 미국에 거주하는 65세 이상 고령자 총 334명(한국 154명, 미국 180명)을 대상으로 복지기술에 대한 지각된 편이성, 지각된 유용성, 사용태도, 사용의도의 직접 및 간접효과 차이를 분석하였다. 분석결과 한국고령층은 '지각된 유용성'이 '사용태도'에 미치는 영향(0.74, p<0.001)이, 미국 고령층은 '지각된 편이성'이 '지각된 유용성'에 미치는 영향(0.75, p<0.001)이 가장 높았고, 통계적으로도 두 국가 간 유의한 차이를 보였다. 이는 장기적 지향성(Long-term Orientation)에 대한 두 국가 간 문화적 차이가 고령자 기술사용의도 차이에 영향을 미치고 있음을 설명할 수 있었다. 본 연구결과를 바탕으로 국가 간 고령자의 복지기술 사용의도를 높이기 위한 활용방안의 차이와 정책적 함의들을 제시하였다.

Abstract ▼ AI-Helper

The purpose of this study was to analyze whether there are country differences in the intention to use Welfare Technology among older adults. Based on Technology Acceptance Model and Structural Equation Model, we surveyed total 334 older adults aged 65 and over living in Korea and the U.S. and analyzed the path differences between the perceived ease of use, perceived usefulness, attitude toward use, and intention to use of Welfare Technology between two countries. Results showed that the effect of 'perceived usefulness' on 'attitude toward use' was the highest in Korea at 0.74 (p<0.001), and 'Perceived ease of use' in 'Perceived Usefulness' in the United States at 0.75(p<0.001), with the differences being statistically significant. Findings indicate that 'Long-term Orientation' may explain the differences between the two countries. Practical and policy implications are presented in conclusion.

주제어

표/그림 (9)

그림 Fig. 1. Initial Technology Acceptance Model
그림 Fig. 2. Structure of this study
표 Table 1. Variables
표 Table 2. Results of Descriptive Analysis
표 Table 3. Results of Measurement Variables: Korea Vs. US.
표 Table 4. Reliability Test for Measurement Variables
표 Table 5. Results of Model Fit Indies for SEM
그림 Fig. 3. Results of SEM between Korea and US
표 Table 6. Chi-square Difference Test

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