References
- Y. J. Han. (2018). The Elderly Are Most Concerned about NationalConditions and Health Care Issued on the Research Report on the Internet Lifeof the Middle-aged and Elderly. China Food, (07), 173. DOI : 10.3969/j.issn.1000-1085.2018.07.092
- N. L. Chen. (2021), Community Education Development in the 14thFive-Year Plan: Reflections and Suggestions from a Veteran Educator. Contemporary Vocational Education, (01), 4-12. DOI : 10.16851/j.cnki.51-1728/g4.2021.01.001
- J. Liu & C. Guo. (2021). Research on the Current Situation of Mobile Payment among the Middle-aged and Elderly and Its Influencing Factors. The World of Survey and Research, 1-8. DOI : 10.13778/j.cnki.11-3705/c.2021.08.001
- J. Li. (2019). Analysis of Barriers to the Promotion of E-payment among the Elderly. Value Engineering, 38(03), 145-147. DOI : 10.14018/j.cnki.cn13-1085/n.2019.03.045
- X. Q. Jiang & Z. X. Xiao. (2019). Research on the Willingness of the Middle-aged and Elderly to Use Mobile Payment--based on Perceived Value Theory. China Circulation Economy, (04), 5-9. DOI : 10.16834/j.cnki.issn1009-5292.2019.04.002
- F. Y. Li. (2020). Mobile payments, online shopping difficult forseniors" look at health insurance business operations. China Market, (21), 194-198. DOI : 10.13939/j.cnki.zgsc.2020.21.194
- X. J. Zhang & Q. Zhu. (2021). A Study on WeChat Adoption,Use and Knowledge Acquisition among the Elderly in Wuhan: A Perspective on the"Digital Divide. Media Observer, (03), 11-19. DOI : 10.19480/j.cnki.cmgc.2021.03.002
- X.Q. Jiang & Z. X. Xiao. (2019). A study on middle-aged and elderly people's willingness to use mobile payment -based on perceived value theory. China Circulation Economy, (04), 5-9. DOI : 10.16834/j.cnki.issn1009-5292.2019.04.002
- X. L. Hu. (2020). Chen Qifeng. A Study on the Living Condition of Rural Early Elder People based on Field-Habitus Theory. Academic Journal of Shandong Agricultural and Engineering University, 37(10), 20-24. DOI : 10.15948/j.cnki.37-1500/s.2020.10.004
- X. Zhang. (2021). Research on User Experience Design ofSmartphones for Early Elder People. Guangdong University of Technology. https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CDFDLAST2021&filename=1021058820.nh
- Y. Dong & K. Ma. (2018). Research on Mobile Payment Risks and Response Strategies. Computer Knowledge and Technology, 14(28), 291-293. DOI : 10.14004/j.cnki.ckt.2018.3357
- Y. Ding, F. Guo, M. C. Hu & F. L. Sun Feng. (2014). A Review of Domestic and International Research on User Experience. Industrial Engineering and Management, 19(04), 92-97, 114. DOI : 10.19495/j.cnki.1007-5429.2014.04.014
- Y. L. Fang S. L. Deng & L. N. Yang. (2015). Research on the Comprehensive Evaluation Method of User Experience in Information Interaction. Journal of Information Resource Management, (01), 38-43. DOI : 10.13365/j.jirm.2015.01.038
- H. A. Alfadda & H. S. Mahdi. (2021). Measuring Students' Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM). J Psycholinguist Res 50, 883-900. DOI : 10.1007/s10936-020-09752-1
- A. Sani, N. Pusparini, A. Budiyantara, I. Irwansyah & A. Hindardjo. (2021). Investigating Readiness Attitude Toward Using Mobile System Through Technology Acceptance Model. Journal Riset Informatika, 3(3), 211-218. DOI : 10.34288/jri.v3i3.233
- Q. Wang & W. Gemma. (2021). How the Digital Divide Affects Older Adults' Use of Technology during Covid-19. Youth Journalist, (05), 99-100. DOI : 10.15997/j.cnki.qnjz.2021.05.038
- C. R. Plouffe, J. S. Hulland & M. Vandenbosch. (2001). Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions-Understanding Merchant Adoption of a Smart Card-based Payment System. Information Systems Research, 12(02), 208-222. DOI : 10.1287/isre.12.2.208.9697
- V. Venkatesh & F. D. Davis. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, (02), 186-204. DOI : 10.1287/mnsc.46.2.186.11926
- A. Caso & R P. Cooper. (2021). Executive Functions in Aging: An Experimental and Computational Study of the Wisconsin Card Sortingand Brixton Spatial Anticipation Tests. Experimental aging research, (01), 31-37. DOI : 10.1080/0361073X.2021.1932202
- D. L. Lv, Z. Y. Cao, B. Deng & Y. F. Wang. (2006). Mode lvalidation using analysis of variance (ANOVA). Computer Simulation, (08), 46-48. DOI : 10.3969/j.issn.1006-9348.2006.08.013
- D. R. Compeau & C. A. Higgins. (1995). Computerself-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189 -211. DOI:10.2307/249688
- L. R. Vijayasarathy. (2004). Predicting consumer intentions to use on-line shopping: The case for anaugmented technology acceptance model. Information & Management, 41(6), 747-762. DOI : 10.1016/j.im.2003.08.011