Blockchain adoption: a value driver perspective
Integrity signals
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Cites
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
As blockchain technology moves into its fourth phase of evolution with increasing incorporation of AI, a similar trend can be seen for its use in healthcare.
“As blockchain technology moves into its fourth phase of evolution with the increasing incorporation of AI (Angelis & da Silva, 2019), a similar trend can be seen for its use in healthcare.”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Angelis & da Silva, 2019
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References 10 · Cited by 391
- Authors
- Angelis, J., & Ribeiro da Silva, E.
- Affiliations
- Research Institute of Industrial Economics (SE)
- Corresponding author
- Angelis, Jannis
- ORCID
- Angelis, Jannis
- Venue
- Business Horizons
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 62
- Issue
- 3
- Pages
- 307-314
- ISSN
- 0007-6813 (ISSN-L)
- OpenAlex
- W2905779713
- Cited by
- 391
- References
- 10
- Citations by year
- 2026: 21 · 2025: 43 · 2024: 66 · 2023: 76 · 2022: 83 · 2021: 60 · 2020: 30 · 2019: 12
- FWCI
- 41.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Business Horizons (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- blockchain adoption, value drivers, smart contracts, decentralized applications, value creation, organizational strategy, technological evolution
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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