{"title":"Using the Technology Acceptance Model to Examine Seniors\u2019 Attitudes toward Facebook","authors":"Chien-Jen Liu, Shu Ching Yang","volume":90,"journal":"International Journal of Educational and Pedagogical Sciences","pagesStart":1012,"pagesEnd":1018,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9998733","abstract":"
Using the technology acceptance model (TAM), this
\r\nstudy examined the external variables of technological complexity
\r\n(TC) to acquire a better understanding of the factors that influence the
\r\nacceptance of computer application courses by learners at Active
\r\nAging Universities. After the learners in this study had completed a
\r\n27-hour Facebook course, 44 learners responded to a modified TAM
\r\nsurvey. Data were collected to examine the path relationships among
\r\nthe variables that influence the acceptance of Facebook-mediated
\r\ncommunity learning. The partial least squares (PLS) method was used
\r\nto test the measurement and the structural model. The study results
\r\ndemonstrated that attitudes toward Facebook use directly influence
\r\nbehavioral intentions (BI) with respect to Facebook use, evincing a
\r\nhigh prediction rate of 58.3%. In addition to the perceived usefulness
\r\n(PU) and perceived ease of use (PEOU) measures that are proposed in
\r\nthe TAM, other external variables, such as TC, also indirectly
\r\ninfluence BI. These four variables can explain 88% of the variance in
\r\nBI and demonstrate a high level of predictive ability. Finally,
\r\nlimitations of this investigation and implications for further research
\r\nare discussed.<\/p>\r\n","references":"[1] Y. S. Kim and S. B. Merriam, \"Situated learning and identity\r\ndevelopment in a Korean older adults\u2019 computer classroom,\u201d Adult\r\nEducation Quarterly, vol.60, no. 5, 2010, pp.438-455.\r\n[2] R Adler and M. Furlong, \"Older Americans and the information\r\nsuperhighway,\u201d Report of a National Survey. San Francisco: SeniorNet,\r\n1994.\r\n[3] J. Ansley and J. T. Erber, \"Computer interaction: Effect on attitudes and\r\nperformance in older adults,\u201d Educational Gerontology, vol. 14, 1988, pp.\r\n107-119.\r\n[4] G. M. Jay and S. L. Willis, Predictors of older women's computer\r\nattitudes. Presented at Gerontological Society of America, San Francisco.\r\nDepartment of Individual & Family Studies. Penn State University,\r\nUniversity Park, Pa, 1988.\r\n[5] N. Wagner, K. Hassanein, and M. Head,\u201dComputer use by older adults: A\r\nmulti-disciplinary review,\u201d Computer in Human Behavior, vol. 26, 2010,\r\npp.870-882.\r\n[6] S. Pan and M. Jordan-Marsh, \"Internet use intention and adoption among\r\nChinese older adults: From the expanded technology acceptance model\r\nperspective,\u201d Computer in Human Behavior, vol. 26, 2010,\r\npp.1111-1119.\r\n[7] L. Wang, P.-L. P. Rau and G. Salvendy, \"Older adults\u2019 acceptance on\r\ninformation technology,\u201d Educational Gerontology, vol.37, no.12, 2011,\r\npp.1081-1099.\r\n[8] C. H. Lin, \"A study of the relationship of older adults' computer\r\nexperience between life satisfaction and computer attitude,\u201d Unpublished\r\nmaster thesis. National Chi Nan University, 2012 (In Mandarin).\r\n[9] B. Xie, \"Older adults, computers, and the Internet: Future directions\u201d\r\nGerontechnology, vol. 2, no. 4, 2003, pp289-305.\r\n[10] B. Xie, I. Watkins, J. Golbeck and M. Huang, \"Understanding and\r\nchanging older adults' perceptions and learning of social media,\u201d\r\nEducational Gerontology, vol. 38, no. 4, 2012, pp.282-296.\r\n[11] Y. H. Chiang, \"An investigation of learning styles and elders' use in\r\ninformation communication and technology,\u201d Unpublished master thesis,\r\nNational Sun Yat-sen University, 2010.(In Mandarin)\r\n[12] S. Shoemaker, \u201dAcquisition of computer skills by older users: A mixed\r\nmethods study,\u201d Research Strategies, vol. 19, 2003, pp. 165-180.\r\n[13] V. Venkatesh, M. Morris, G. Davis and F. Davis, \"User acceptance of\r\ninformation technology: Toward a unified view,\u201d MIS Quarterly:\r\nManagement Information Systems, vol. 27, 2003, pp. 425-478.\r\n[14] F. D. Davis, \"Perceived usefulness, perceived ease of use, and user\r\nacceptance of information technology. MIS Quarterly, vol. 13, no.3, 1989,\r\npp.319\u2013340.\r\n[15] T. Teo, \"Modelling technology acceptance in education: A study of\r\npre-service teachers,\u201d Computers & Education, vol. 52, 2009, pp.\r\n302-312.\r\n[16] P. Legris, J. Ingham and P. Collerette, \"Why do people use information\r\ntechnology? A critical review of the technology acceptance model,\u201d\r\nInformation & Management, vol. 40, no. 3, 2003, pp.191-204.\r\n[17] Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of\r\ncomputer technology: A comparison of two theoretical models.\r\nManagement Science, 35(8), 982-1003.\r\n[18] R. Agarwal and J. Prasad, \"The antecedents and consequents of user\r\nperceptions in information technology adoption,\u201d Decision Support\r\nSystem, vol. 22, no. 1, 1998, pp.15-29.\r\n[19] S. Kang, \"Information technology acceptance: Evolving with the changes\r\nin the network environment,\u201d Proceedings of 31st Annual Hawaii\r\nInternational Conference on System Sciences, 1998, pp. 413-423.\r\n[20] R. L. Thompson, C. A .Higgins and J. M. Howell, \"Personal computing:\r\nToward a conceptual model of utilization,\u201d MIS Quarterly ,vol.15, no.1,\r\n1991, pp.124-143.\r\n[21] T. Teo, V. Lim and R. Lai, \"Intrinsic and extrinsic motivation in internet\r\nusage,\u201d Omega, vol. 27, no.1, 1999, pp.25\u201337.\r\n[22] W. Cheung and W. Huang, \"Proposing a framework to assess internet\r\nusage in university education: an empirical investigation from a student\u2019s\r\nperspective,\u201d British Journal of Educational Technology,vol.36, no. 2,\r\n2005, 237\u2013253.\r\n[23] W. W. Chin, B. L. Marcolin and P. R. Newsted, \u201dA partial least squares\r\nlatent variable modeling approach for measuring interaction effects:\r\nResults from a Monte Carlo simulation study and an electronic-mail\r\nemotion\/adoption study Information Systems Research, vol. 14, no. 2,\r\n2003, pp.189-217.\r\n[24] R. F. Falk, and N. B. Miller, A primer for soft modeling. Akron, OH:\r\nUniversity of Akron Press, 1992.\r\n[25] C. Fornell and F. L. Bookstein, \"Two structural equation models:\r\nLISREL and PLS applied to consumer exit-voice theory,\u201d Journal of\r\nMarketing Research, vol.19, 1982, pp.440\u2013452.\r\n[26] D. Barclay, C. A. Higgins, and R. L. Thompson, \"The partial least squares\r\n(PLS) approach to causal mode ling: Personal computer Adoption and use\r\nas an illustration,\u201d Technology Studies, vol. 2, no. 2, 1995, pp. 285-309.\r\n[27] W. W. Chin, \u201dIssues and opinion on structural equation modeling,\u201d MIS\r\nQuarterly, vol. 22, no.1, 1998, pp.VII-XVI.\r\n[28] J. Cohen, Statistical power analysis for the behavioral sciences (2nd ed.).\r\nHillsdale, NJ: Erlbaum, 1988.\r\n[29] V. Venkatesh and F.D. Davis, \u201dA theoretical extension of the technology\r\nacceptance model: Four longitudinal field studies,\u201d Management Science,\r\nvol. 46, no.2, 2000, pp.186-204.\r\n[30] S. Y. Park, \"An analysis of the technology acceptance model in\r\nunderstanding university students' behavioral intention to use e-learning,\u201d\r\nEducational Technology & Society, vol. 12, no. 3, 2009, pp.150-162.\r\n[31] D. Harley and G. Fitzpatrick, \"YouTube and intergenerational\r\ncommunication: The case of Geriatric1927,\u201d Universal Access in the\r\nInformation Society, vol. 8, no. 1, 2009, pp.5\u201320.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 90, 2014"}