Chaiwoo Lee
Information Systems and Management · 2015
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Information Systems and Management — 13 citations into it; #3,550 of 3,842 by trust here, #3,171 by citations
- Sociology and Political Science — 10 citations into it
- Demography — 9 citations into it; #3,742 of 4,236 by trust here, #3,042 by citations
Whom Chaiwoo Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred D. Davis
- Jenni Niemelä-Nyrhinen
- Y.H.C. Chan
- Donna Weaver McCloskey
- Susan A. Brown
- Suprateek Sarker
- Katrin Arning
- Constance Elise Porter
- Wendy A. Rogers
Who trusts Chaiwoo Lee overall
Papers from Chaiwoo Lee's perspective
Ordered by how strongly the researchers Chaiwoo Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). (Psychology and Aging)
- Older adults' motivated choice for technological innovation: evidence for benefit-driven selectivity. (Psychology and Aging)
- Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle (MIS Q.)
- Designing for dynamic diversity: interfaces for older people (International ACM SIGACCESS Conference on Computers and Accessibility)
- The Use of Communication Technologies by Older Adults: Exploring the Benefits from the User's Perspective
- Understanding mobile handheld device use and adoption (CACM)
- Older adults' attitudes towards and perceptions of ‘smart home’ technologies: a pilot study (Medical informatics and the Internet in medicine (Print))
- Baby boom consumers and technology: shooting down stereotypes
- Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics