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Cited by 363

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Older adults' motivated choice for technological innovation: Evidence for benefit-driven selectivity.

Melenhorst, Anne-Sophie, Rogers, Wendy A., Bouwhuis, Don G.·2006·Psychology and Aging

Abstract

This study examined older adults' motivation to adopt technological innovation. Sixty-eight older e-mail users and nonusers discussed the use of e-mail and of traditional communication methods in 18 focus groups. The results show older adults' benefit-driven approach to new communication technology. Regardless of whether their decision about the new technology was positive or negative and irrespective of their e-mail experience, participants focused on benefits rather than costs. For traditional media, both costs and benefits were important. Results contradict the common belief that barriers such as usability problems determine whether older people use new technology and indicate the decisive role of perceived benefits for successful innovation.

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Metadata

Authors
Melenhorst, A.-S., Rogers, W. A., & Bouwhuis, D. G.
Venue
Psychology and Aging
Published
2006
Volume
21
Issue
1
Pages
190-195
ISSN
  • 0882-7974 (ISSN-L)
  • 1939-1498
OpenAlex
W2136777851
Cited by
363
References
4
FWCI
28.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Older adults' motivated choice for technological innovation: Evidence for benefit-driven selectivity. https://app.cochat.ai/papers/10.1037/0882-7974.21.1.190
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Melenhorst, A.-S., Rogers, W. A., & Bouwhuis, D. G. (2006). Older adults' motivated choice for technological innovation: Evidence for benefit-driven selectivity. Psychology and Aging. https://doi.org/10.1037/0882-7974.21.1.190

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.