Browse > Article
http://dx.doi.org/10.5859/KAIS.2013.22.3.59

A suggestion of the research direction for older adults' ICT use behaviors: SILC  

Lee, Woong-Kyu (대구대학교 경영학과)
Publication Information
The Journal of Information Systems / v.22, no.3, 2013 , pp. 59-75 More about this Journal
Abstract
Although information communication technology (ICT) has been one of the most important infrastructures for our societies, it is still considered as a kind of black box having a barrier to be accepted and being not easily understood. Nevertheless, there are no proper research models or theories for explaining older adults' ICT uses. The objective of this study is to suggest a direction for studying older adults' ICT using behaviors. For this purpose, based on the review and analysis of current studies, main research issues are discussed and a new research framework for the research of older adults' ICT use, Silver ICT users Life Cycle(SILC), is suggested.
Keywords
older adults; research direction and framework; SILC;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 보건복지부, 2012 보건복지통계연보, 보건복지부, 2012.
2 김미량, 김태웅, 김재현, 실버세대의 인터넷 활용 영향요인 연구, 한국 인터넷정보학회, 제10권, 제1호, 2009, pp. 145-158.   과학기술학회마을
3 한국정보화진흥원, 2013 신(新) 디지털 격차 현황 분석 및 제언: 2012 정보격차지수 및 실태조사 요약보고서, 한국정보화진흥원, 2013.
4 한정란, 노인교육의 이해 - 노인을 위한, 노인에 관한, 노인에 의한 교육, 학지사, 2005.
5 Ahn, M., Beamish, J. O., and Goss, R. C., Understanding Older Adults' Attitudes and Adoption of Residential Technologies, Family and Consumer Sciences Research Journal, Vol. 36, No. 3, 2008, pp. 243-260.   DOI
6 Ajzen, I., Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives, Personality and Social Psychology Review, Vol. 6, No. 2, 2002, pp. 107-122.   DOI   ScienceOn
7 Bhattacherjee, A., Understanding Information Systems Continuance: an Expectation-Confirmation Model, MIS Quarterly, Vol. 25, No. 3, 2001, pp. 351-370.   DOI   ScienceOn
8 Bhattacherjee, A. and Premkumar, G., Understanding Changes in Belief and Attitude toward Information Technology Usage: a Theoretical Model and Longitudinal Test, MIS Quarterly, Vol. 28, No. 2, 2004, pp. 229-254
9 Carpenter, B. D. and Buday, S., Computer Use among Older Adults in a Naturally occurring Retirement Community, Computers in Human Behavior, Vol. 23, 2007, pp. 3012-3024.   DOI   ScienceOn
10 Chen, K. and Chan, A. H. S., A Review of Technology Acceptance by Older Adults, Gerontechnolgy, Vol. 10, No. 1, 2011, pp. 1-12.
11 Czaja, S.J. and Hiltz, S.R., Digital aids for an aging society, Communication of the ACM, Vol. 48, No. 10, 2005, pp. 43-44.
12 Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, Vol. 13, No. 3, 1989, pp. 319-340.   DOI   ScienceOn
13 Davis, F. D., Bagozzi, R. P. and Warshaw, P. R., User Acceptance of Computer Technology: a Comparison of Two Theoretical Models, Management Science, Vol. 35, No. 8, 1989, pp. 982-1003.   DOI   ScienceOn
14 Gilly, M. C. and Zeithaml, V. A., The elderly consumer and adoption of technologies, Journal of Consumer Research, Vol. 12, 1985, pp. 353-357.   DOI   ScienceOn
15 Kim, S. S. and Malhotra, N. K., Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms underlying Postadoption Phenomena, Management Science, Vol. 51, No. 5, 2005, pp. 741-755.   DOI   ScienceOn
16 Karavidas, M., Lim, N. K., and Katsikas, S. L., The Effects of Computers on Older Adult Users, Computers in Human Behavior, Vol. 21, 2005, pp. 697-711.   DOI   ScienceOn
17 Kim, H-W. and Kanakanhalli, A., Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective, MIS Quarterly, Vol. 33, No. 3, 2009, pp. 567-582.
18 Kim, S. S. (2009), The Integrative Framework of Technology Use: an Extension and Test, MIS Quarterly, 33(3), pp.513-537.
19 Kim, S. S., Malhotra, N. K. and Narasimahn, S., Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison, Information Systems Research, Vol. 16, No. 4, 2005, pp. 418-432.   DOI   ScienceOn
20 Kleine, S.S. and Baker,S.M., An Integrative Review of Material Possession Attachment, Academy of Marketing Science Review, Vol. 2004, No. 1, http://www.amsreview.org/articles/kleine01-2004.pdf.
21 Limayem, M., Hirt, S. G., and Cheung, C. M. K., How Habit Limits th Predictive Power of Intention: The Case of Information Systems Continuance, MIS Quarterly, Vol. 31, No. 4, 2007, pp. 705-737.
22 Moon, J-W. and Kim, Y-G., Extending the TAM for a World-Wide-Web Context", Information & Management, Vol. 38, 2001, pp. 217-230.   DOI   ScienceOn
23 Ng, C., Motivation Among Older Adults in Learning Computing Technologies: A Grounded Model, Educational Gerontology, Vol. 34, 2008, pp. 1-14.
24 Ouellette, J., and Wood, W., Habit and Intention in Everyday Life: the Multiple Processes by which Past Behavior Predicts Future Behavior, Psychological Bulletin, Vol. 124, No. 1, 1998, pp. 54-74.   DOI   ScienceOn
25 Podsakoff, P. M., MacKenzie, S. B., Lee, J-Y., and Podsakoff, N. P., Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies, Journal of Applied Psychology, Vol. 88, No. 5, 2003, pp. 879-903.   DOI   ScienceOn
26 Pan, S. and Jordan-Marsh, M., Internet Use Intention and Adoption among Chinese Older Adults: From the Expanded Technology Acceptance Model Perspective, Computers in Human Behavior, Vol. 26, 2010, pp. 1111-1119.   DOI   ScienceOn
27 Peterson, D. A., Facilitating Education for Older Learners, San Fransisco, Jossey-Bass Publishers, 1983.
28 Phang, C. W., Sutanto, J., Kankanhalli, A., Li, Y., Tan, B. C. T. and Teo, H-H., Senior citizens' acceptance of information systems: A study in the context of e-government services, IEEE transactions on Engineering Management, Vol. 53, No. 4, 2006, pp. 555-569.   DOI   ScienceOn
29 Polites, G. L. and Karahanna, E., Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance, MIS Quarterly, Vol. 36, No. 1, 2012, pp. 21-42.
30 Slegers, K., van Boxtel, M. P. J., and Jolles, J. (2012), Computers Use in Older Adults: Determinants and the Relationship with Cognitive Change over a 6 year Episode, Computers in Human Behavior, 28, pp. 1-10.   DOI   ScienceOn
31 Straub, D. W. and Burton-Jones, A., Veni, Vidi, Vici: Breaking the TAM Logjam, Journal of the Association for Information Systems, Vol. 8, No. 4, 2007, pp. 223-229.
32 Ray, S., Kim, S. S., and Morris, J. G., Online Users' Switching Costs: Their Nature and Formation", Information Systems Research, Vol. 23, No. 1, 2012, pp. 197-213.   DOI
33 Tennant, M. C. and Pogoson, P., Learning and Change in the Adult Years, - A Development Perspective, Jossey-Bass A Wiley Imprint, San Fransisco, CA., 1995.
34 Renaud, K. and Van Biljon, J., Predicting Technology Acceptance and Adoption by the Elderly: A Qualitative Study, in the Proceedings of the Annual Research Conference of the South Afirican Instutute of Computer Scientists and Information Technologies on IT Research in Developing Countries, Wilderness, South Africa, 2008, pp. 210-219.
35 Samuelson, W. and Zeckhauser, R., Status Quo Bias in Decision Making, Journal of Risk and Uncertainty, Vol. 1, 1988, pp. 7-59.   DOI   ScienceOn
36 Stauss, A. and Corbin, J., Basics of Qualitative Research: Grounded Theory Procedure and Techniques, Thousand Oaks, CA: Sage, 1998.
37 Venkatesh, V. and Davis, F. D., A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Fields Studies, Management Science, Vol. 46, No. 2, 2000, pp. 186-204.   DOI   ScienceOn
38 Venkatesh, V., Thong, J. Y. L., and Xu, X.,, Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology, MIS Quarterly, Vol. 36, No. 1, 2012, pp. 157-178.
39 Verplanken, B. and Orbell, S., Reflection on Past Behavior: A Self-Report Index of Habit Strength, Journal of Applied Social Psychology, Vol. 33, No. 6, 2003, pp. 1313-1330   DOI   ScienceOn
40 Wandke, H., Sengpiel, M., and Sonksen, M., Myths about older people's use of information and communication technology, Gerontology, Vol. 58, 2012, pp. 564-570.   DOI   ScienceOn
41 Wang, L., Sato, H., R며, P. L. P., Fujimura, K., GAo, Q., and Asano, Y., Chinese text spacing on mobile phones for senior citizens, Educational Gerontology, Vol. 35, 2009, pp. 77-90.
42 Zhou. J., Rau, P.P., and Salvendy, G., Use and design of handheld computers for older adults: a review and appraisal, International Journal of Human- Computer Interaction, Vol. 28, 2012, pp. 799-826.   DOI
43 Wehmeyer, K., Assessing Users' Attachment to their Mobile Devices, in the Proceedings of Sixth International Conference on the Management of Bobile Business (ICMB 2007), 2007, pp. 1-8.
44 Zeithaml, V. A. and Gilly, M. C., Characteristics affecting the acceptance of retailing technologies: A comparison of elderly and nonelderly consumers, Journal of Retailing, Vol. 63, 1987, pp. 49-68.