Ala-Mutka, K. (2011). Digital competence for 21st Century. In: Mapping Digital Competence: Towards a Conceptual Understanding. Luxembourg: Publications Office of the European Union, pp. 45–53
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254.
https://doi.org/10.17705/1jais.00122
Bai, M., Liu, S., You, J., An, N. (2024). A study on the influencing factors of users’ continuous usage behavior of smart elderly care platforms based on grounded theory (Chinese). Journal of Medical Informatics, (03), 16–23.,16–23. doi: CNKI: SUN: YXQB.0.2024–03–016.
Buckingham, D. (2003). Part I: Rationales. In: Media Education: Literacy, Learning and Contemporary Culture. Cambridge: Polity Press, pp. 3–49.
Carretero, S., Vuorikari, R., Punie, Y. (2017). The Competence. In: DigComp 2.1: The Digital Competence Framework for Citizens with eight proficiency levels and examples of use. Luxembourg: Publications Office of the European Union, pp. 21–43.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q., 13, 319–340.
https://doi.org/10.2307/249008
Eshet-Alkalai, Y. (2004). Digital Literacy: A Conceptual Framework for Survival Skills in the Digital era. Journal of Educational Multimedia and Hypermedia, 13, 93–106.
Ferrari, A. (2013). The Digital Competence Framework. In: DIGCOMP: A Framework for Developing and Understanding Digital Competence in Europe. Luxembourg: Publications Office of the European Union, pp. 15–36.
Gilster, P. (1997). Digital Literacy in the Modern World. In: Digital Literacy. New York: Wiley, pp. 1–24.
Hoque, M.R., Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International journal of medical informatics, 101, 75–84.
https://doi.org/10.1016/j.ijmedinf.2017.02.002
Igbaria, M., Parasuraman, S. (1989). A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes toward Microcomputers. Journal of Management, 15, 373–388.
Jolliffe, I.T., Cadima, J. (2016). Principal component analysis: a review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374.
https://doi.org/10.1098/rsta.2015.0202
Kang, H., Han, J., Kwon, G.H. (2022). The Acceptance Behavior of Smart Home Health Care Services in South Korea: An Integrated Model of UTAUT and TTF. International Journal of Environmental Research and Public Health, 19.
https://doi.org/10.3390/ijerph192013279
Laguna, K.D., Babcock, R.L. (1997). Computer anxiety in young and older adults: Implications for human-computer interactions in older populations. Computers in Human Behavior, 13, 317–326.
https://doi.org/10.1016/S0747–5632(97)00012–5
Levine, D.M., Lipsitz, S.R., Linder, J.A. (2016). Trends in Seniors’ Use of Digital Health Technology in the United States, 2011-2014. JAMA, 316 5, 538–40.
https://doi.org/10.1001/jama.2016.9124
Li, M., Wang, Z., Wang, L. (2017). Factors influencing the use of elderly care technology by elderly people living at home: A survey in Beijing, Nanjing, and Xianyang (Chinese). Population and Development, (03),84–92.
https://doi:CNKI:SUN:SCRK.0.2017–03–009.
Li, X., Chen, Z., Xia, X. (2022). The impact of digital literacy on farmers’ entrepreneurial behavior: An analysis based on the spatial Dubin model (Chinese). Journal of Central South University of Economics and Law, (01),123–134.
https://doi.org/10.19639/j.cnki.issn1003–5230.2022.0006.
Lou, S., Liu, H. (2023). Awareness, use, and need of smart care for older adults: A comparative study based on a survey in Macao, China. Frontiers in Public Health, 11.
https://doi.org/10.3389/fpubh.2023.1135164
Mao, Y., Li, D. (2015). A study on the factors influencing smart elderly care users’ behavior based on the UTAUT model: A case study of Wuhan’s “One–Click” service (Chinese). E-Government, (11),99–106.
https://doi.org/10.16582/j.cnki.dzzw.2015.11.001.
Meng, Q., Hong, Z., Li, Z. (2020). Opportunities and Challenges for Chinese Elderly Care Industry in Smart Environment Based on Occupants’ Needs and Preferences. Frontiers in Psychology, 11.
https://doi.org/10.3389/fpsyg.2020.01029
Norman, C.D., Skinner, H.A. (2006). eHealth Literacy: Essential Skills for Consumer Health in a Networked World. Journal of Medical Internet Research, 8.
https://doi.org/10.2196/JMIR.8.2.E9
Peek, S.T., Wouters, E.J., Hoof, J.V. (2014). Factors influencing acceptance of technology for aging in place: A systematic review. International journal of medical informatics, 83 4, 235–48.
https://doi.org/10.1016/j.ijmedinf.2014.01.004
Rose, N., Wagner, W., Mayer, A., Nagengast, B. (2019). Model-Based Manifest and Latent Composite Scores in Structural Equation Models. Collabra: Psychology.
https://doi.org/10.1525/COLLABRA.143
Tipping, M.E., Bishop, C.M. (1999). Probabilistic Principal Component Analysis. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 61.
https://doi.org/10.1111/1467–9868.00196
Venkatesh, V., Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186–204.
Venkatesh, V., Morris, M. G. (2000). Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, 24(1), 115–139.
https://doi.org/10.2307/3250981
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D. (2003). User Acceptance of Information Technology: Toward a Unified View. Institutions & Transition Economics: Microeconomic Issues eJournal.
https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J.Y., Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. Behavioral Marketing eJournal.
https://doi.org/10.2307/41410412
Vuorikari, R., Punie, Y., Carretero, G. S., Van, D. B. G. (2016). DigComp 2.0—the Conceptual Reference Model. In: DigComp 2.0: The Digital Competence Framework for Citizens. Update Phase 1: the Conceptual Reference Model. Luxembourg: Publications Office of the European Union. pp. 8–9
Wang, H., Gao, W., Hu, Y. (2018). The current status and implications of new media literacy among elderly people in the context of smart elderly care (Chinese). Journal of Nursing Science, (08),97–100.
https://doi: CNKI:SUN:HLXZ.0.2018–08–037.
Wang, X., Lee, C., Jiang, J. (2023). Research on the Factors Affecting the Adoption of Smart Aged-Care Products by the Aged in China: Extension Based on UTAUT Model. Behavioral Sciences, 13.
https://doi.org/10.3390/bs13030277
Xie, Q., Yue, T. (2019). The necessity and pathways of digital integration for elderly people in the context of active aging (Chinese). Contemporary Continuing Education, (04),10–16.
https://doi:CNKI:SUN:HDAJ.0.2019–04–002.
Yang, Q., Feng, Y. (2020). A study on the willingness to use smart elderly care products based on the UTAUT model (Chinese). Aging Science Research, (01),18–31. doi:CNKI:SUN:LLKX.0.2020–01–004.
Yu, X., Fu, D. (2004). A review of multi-index comprehensive evaluation methods (Chinese). Statistics and Decision, (11),119–121. doi:CNKI:SUN:TJJC.0.2004–11–065.
Yu, X., Sun, Y. (2017). “Internet + Elderly care”: Research on innovative development of elderly care service models in the new era. Population Journal (Chinese), (01), 58–66.
https://doi.org/ 10.16405/j.cnki.1004–129X.2017.01.006.
Zhang, Y., Lian, N. (2018). Research on the demand and willingness of elderly people for smart elderly care services in care institutions: A survey based in Baotou City (Chinese). Economic Research Guide, (27),55–59.
https://doi:CNKI:SUN:JJYD.0.2018–27–024.
Zuo, M. (2014). Connotations, models, and opportunities of smart elderly care (Chinese). China Public Security, (10),48–50. doi:CNKI:SUN:GGAZ.0.2014–10–004.