The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM
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“Overall, the TTF theory provides a structured framework for researchers and practitioners to assess users’ attitudes and behaviors toward technology adoption, helping organizations make informed decisions and strategies to enhance technology acceptance and successful implementation (Yen et al., 2010).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Yen et al., 2010
Citations
Cites
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The theory of planned behavior
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
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Flagged first, then by citations
Research works printed but not linked: 1
- Juniper Research (1996). Mobile commerce strategies: ticketing, retail, payment and security (2nd ed.).
Cited by
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Lin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565
A meta-analysis of mobile commerce adoption and the moderating effect of culture
Zhang, L., Zhu, J., & Liu, Q. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.05.008 · Cited by 541
Wearable technologies: The role of usefulness and visibility in smartwatch adoption
Chuah, S. H., Rauschnabel, P. A., Krey, N., Nguyen, B., Ramayah, T., & Lade, S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.047 · Cited by 595
Wang, Y., Wang, S., Wang, J. S., Wei, J., & Wang, C. (2018) · Transportation · doi:10.1007/s11116-018-9893-4 · Cited by 479
Metadata
- Authors
- Yen, D. C., Wu, C.-S., Cheng, F.-F., & Huang, Y.-W.
- Affiliations
- Miami University (US)
- Tunghai University (TW)
- National Chung Hsing University (TW)
- Corresponding author
- Yen, David C.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 26
- Issue
- 5
- Pages
- 906-915
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W1994216432
- Cited by
- 319
- References
- 66
- Citations by year
- 2026: 12 · 2025: 28 · 2024: 20 · 2023: 27 · 2022: 21 · 2021: 30 · 2020: 16 · 2019: 16 · 2018: 17 · 2017: 22 · 2016: 27 · 2015: 19 · 2014: 17 · 2013: 21 · 2012: 15
- FWCI
- 33.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Keywords
- wireless technology adoption, task-technology fit, technology acceptance model, intention to use, perceived usefulness, perceived ease of use, mobile commerce, handheld devices, technology adoption in organizations, technology characteristics, task characteristics
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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