Message framing and acceptance of branchless banking technology
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
UTAUT and UTAUT2 models have been widely used to study acceptance of e-banking, indicating that performance expectancy, facilitating conditions and trust are important to the acceptance of e-banking.
“The UTAUT and UTAUT2 models have been widely used to study acceptance of e-banking, indicating that performance expectancy, facilitating conditions and trust are important to the acceptance of e-banking”
From E-banking in Colombia: factors favouring its acceptance, online trust and government support (2018) · cites this paper as Kurila, Lazuras, & Ketikidis, 2016
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References 36 · Cited by 36
- Authors
- Kurila, J., Lazuras, L., & Ketikidis, P. H.
- Affiliations
- University of Sheffield (GB)
- Sheffield Hallam University (GB)
- Corresponding author
- Lazuras, Lambros
- Venue
- Electronic Commerce Research and Applications
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 17
- Pages
- 12-18
- ISSN
- 1567-4223 (ISSN-L)
- OpenAlex
- W2289503638
- Cited by
- 36
- References
- 36
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 6 · 2020: 4 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 1
- FWCI
- 5.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronic Commerce Research and Applications (publishedVersion)
- SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) (acceptedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- message framing, branchless banking, mobile banking, technology acceptance, UTAUT, intention to use, performance expectancy, gain frame, loss frame, gender differences, technology acceptance model
About these checks
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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