Cited by 47Technology Adoption and User BehaviourMobile Crowdsensing and CrowdsourcingOpen Source Software Innovations

Perceived Ease of Use, Perceived Usefulness, and Behavioral Intention: The Acceptance of Crowdsourcing Platform by Using Technology Acceptance Model (TAM)

Mohd Amir, Rosmiza Izyaty, Mohd, Idaya Husna, Saad, Shatina, Abu Seman, Sharidatul Akma, Tuan Besar, Tuan Badrol Hisham·2020·Charting a Sustainable Future of ASEAN in Business and Social Sciences

Integrity signals

Registry

Crossref · 10.1007/978-981-15-3859-9_34

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4 of 4 references verified0 citation errors · 0 not checkable

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Authors
Mohd Amir, R. I., Mohd, I. H., Saad, S., Abu Seman, S. A., & Tuan Besar, T. B. H.
Affiliations
Universiti Teknologi MARA (MY)
Corresponding author
Saad, Shatina
Venue
Charting a Sustainable Future of ASEAN in Business and Social Sciences
Published
2020
Pages
403-410
OpenAlex
W2980158691
Cited by
47
References
4
Citations by year
2026: 4 · 2025: 12 · 2024: 12 · 2023: 8 · 2022: 6 · 2021: 3 · 2020: 2
FWCI
25.70
Type
book chapter
Language
en
Open access
closed
Locations
Springer eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
Keywords
crowdsourcing platforms, technology acceptance model, perceived ease of use, perceived usefulness, behavioral intention, technology acceptance, university students

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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.

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