Acknowledgement
This research project was supported by 2019 National Research Foundation of Korea (NRF-2019S1A5A2A03048377).
References
- Nordic Centre for Welfare and Social Issues. (2010). Focus on Welfare Technology. https://nvc.brandfactory.se/Files/sv-SE/9047/RelatedFiles/Velferdsteknologi_eng.pdf
- J. Kim. (2018). Study on Welfare Technology and Welfare Technology Assessment for Older Adults. The Journal of the Korea Contents Association, 18(5), 156-166. DOI : 10.5392/JKCA.2018.18.05.156
- C. M. Barbu. (2011). Cultural adaptation of products. Management & Marketing-Craiova, (1), 105-110.
- A. E. Molzahn, M. Kalfoss, K. Schick Makaroff & S. M. Skevington. (2010). Comparing the importance of different aspects of quality of life to older adults across diverse cultures. Age and ageing, 40(2), 192-199. DOI : 10.1093/ageing/afq156
- L. Wang, P.L. Rau, & G. Salvendy. (2011). A cross-culture study on older adults' information technology acceptance. International Journal of Mobile Communications, 9(5), 421-440. DOI : 10.1504/IJMC.2011.042452
- G. Hofstede. (1993). Cultural constraints in management theories. Academy of Management Perspectives, 7(1), 81-94. DOI : 10.5465/AME.1993.9409142061
- G. Hofstede, G. J. Hofstede & M. Minkov. (2005). Cultures and organizations: Software of the Mind (Vol. 2). New York: Mcgraw-hill.
- H, Lee, N. Chung & T. Jung. (2015). Examining the cultural differences in acceptance of mobile augmented reality: Comparison of South Korea and Ireland. In Information and communication technologies in tourism 2015 (pp. 477-491). Springer, Cham. DOI : 10.1007/978-3-319-14343-9_35
- M. Cozza, L. Crevani, A. Hallin & J. Schaeffer. (2019). Future ageing: welfare technology practices for our future older selves. Futures, 109, 117-129. DOI : 10.1016/j.futures.2018.03.011
- KOSIS(2019). Population Projections for Korea, Korean Information Statistical System. http://kostat.go.kr/
- G. Wickstrom, A. Regner & L. Micko. (2017). Vision eHealth 2025. Government of Sweden. https://www.ehalsomyndigheten.se/globalassets/dokument/vision/vision-for-ehealth-2025.pdf
- M. Park, S. Choi & Y. Lee.(2020). Current Status and Prospect of Immigration Policy for Care Service in the Aging Era, MRTC Research Report Series No. 2020-01.Migration Research & Training Center. https://www.mrtc.re.kr/
- Korean Government (2021). Korean New Deal 2.0, Ministry of Science and ICT. https://digital.go.kr/
- J. Kim. (2021). Cases and Issues in Caring for Older Adults Using AI/Robots during the COVID-19 Pandemic in the U.S.. International Social Security Review 2021(Spring), 16-26. https://repository.kihasa.re.kr/
- S. Frennert. & K. Baudin. (2021). The concept of welfare technology in Swedish municipal eldercare. Disability and rehabilitation, 43(9), 1220-1227. DOI : 10.1080/09638288.2019.1661035
- M. Fishbein & I. Ajzen. (1980). Predicting and und erstanding consumer behavior: Attitude-behavior correspondence. In Ajzen, I. & Fishbein, M. (eds.). Understanding Attitudes and Predicting Social Be havior (pp. 148-172). Englewood Cliffs, NJ: Prentice Hall.
- F.D. Davis. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. DOI : 10.2307/249008
- J. Cho. (2014). Expanded Reproduction of Digital Divide : Acceptance of Smartphones among the Elderly. Journal of Korea Sociology, 48(5), DOI : 10.21562/jks.2014.10.48.5.211
- J. H. Ahn & S.H. Yi. (2015). Factors associated with usage intention of smart technology in long-term care facilities: Based on the technology acceptance model (TAM & TAM2). Korean J Gerontol Soc Welf, 68, 357-387. DOI : 10.21194/kjgsw..68.201506.357
- F. D. Davis. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results Doctoral dissertation, Massachusetts Institute of Technology. https://www.mit.edu
- F. D. Davis, R. P. Bogozzi & P. R. Warshaw. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003. DOI : 10.1287/mnsc.35.8.982
- V. Venkatesh & F. D. Davis. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. DOI : 10.1111/j.1540-5915.1996.tb00860.x
- V. Venkatesh & F. D. Davis. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. DOI : 10.1287/mnsc.46.2.186.11926
- Hofstede Insights. (2022) Country Comparison. https://www.hofstede-insights.com/country-comparison/south-korea,the-usa/
- P. W. Cardon & B. A. Marshall. (2008). National culture and technology acceptance: The impact of uncertainty avoidance. Issues in Information Systems, 9(2), 103-110. http://iacis.org/iis/2008/S2008_920.pdf
- T. Teo, W.S. Luan & C. C. Sing. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: an application of the Technology Acceptance Model (TAM). Journal of Educational Technology & Society, 11(4), 265-280. https://www.jstor.org/stable/jeductechsoci.11.4.265
- Statistics Korea. (2019). Population Projections for Korea(2017-2067). Korean Information Statistical System. http://kostat.go.kr/
- W. Chin & P. R. Newsted. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical Strategies for Small Sample Research (pp. 307-341). Thousand Oaks: CA: Sage Publications.
- A. J. Tomarken & N. G. Waller. (2005). Structural equation modeling: Strengths, limitations, and misconceptions. Annual Review of Clinical Psychology 1, 31-65. DOI : 10.1146/annurev.clinpsy.1.102803.144239
- US Census Bureau. (2022). Quick Facts Bromme County, New York. https://www.census.gov/quickfacts/fact/table/broomecountynewyork/PST045221
- D. George & P. Mallery. (2003). SPSS for Windows step by step: A Simple Guide and Reference. 11.0 update (4th ed.). Boston: Allyn & Bacon.
- K. A. Bollen. (1989). Structural Equations with Latent Variables. John Wiley & Sons. DOI : 10.1002/9781118619179
- J. C. Anderson & D. W. Gerbing. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411. DOI : 10.1037/0033-2909.103.3.411
- D. A. Kenny & D. B. McCoach. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling, 10(3), 333-351. DOI : 10.1207/S15328007SEM1003_1
- D. Hooper, J. Coughlan & M. Mullen. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. The Electronic Journal of Business Research Methods, 6, 53-60. DOI : 10.21427/D7CF7R
- S. Y. Kang, J. Kim, J. Winthal & R. Lenz. (2021). An Analysis of Professional's Perspectives on the Roles of Socio-cultural Factors and Welfare Technology among Older Adults in the US. Journal of the Korea Convergence Society, 12(8), 215-228. DOI : 10.15207/JKCS.2021.12.8.215
- C. Lee & J. F. Coughlin. (2015). PERSPECTIVE: Older adults' adoption of technology: an integrated approach to identifying determinants and barriers. Journal of Product Innovation Management, 32(5), 747-759. DOI : 10.1111/jpim.12176
- M. Moslehpour, V. K. Pham, W.K. Wong, & I. Bilgicli. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234. DOI : 10.3390/su10010234
- J. Kim. (2021). Trend of Senior Care Digital Technology with Aging Population, Weekly ICT Trends, Vol. 2010, 13-22. https://www.itfind.or.kr/