Blockchain Revolution: How the Technology Behind Bitcoin is Changing Money, Business, and the World.: 2016. Dan Tapscott and Alex Tapscott. New York: Penguin Random House. 348 pages
Abstract
"Blockchain Revolution: How the Technology Behind Bitcoin is Changing Money, Business, and the World. ." Quality Management Journal, 25(1), pp. 64–65
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Decentralized data-sharing improves resilience by creating a distributed network of nodes that continue to operate even if some nodes fail or are compromised.
“Therefore, decentralized data-sharing improves resilience by creating a distributed network of nodes that continue to operate even if some nodes fail or are compromised and by using encryption to protect the data from unauthorized access or tampering, leading to a reduction of the risks associated with datasharing and enable organizations to work more effectively and efficiently [49].”
From Federated learning meets blockchain in decentralized data-sharing: Healthcare use case (2024) · cites this paper as [49]
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- Authors
- Radziwill, N.
- Corresponding author
- Radziwill, Nicole
- ORCID
- Radziwill, Nicole
- Venue
- Quality Management Journal
- Publisher
- Informa UK Limited
- Published
- 2018-01-02
- Volume
- 25
- Issue
- 1
- Pages
- 64-65
- ISSN
- 1068-6967 (ISSN-L)
- 2575-6222
- OpenAlex
- W2789962766
- Cited by
- 256
- References
- 0
- Citations by year
- 2026: 7 · 2025: 37 · 2024: 53 · 2023: 46 · 2022: 24 · 2021: 29 · 2020: 29 · 2019: 20 · 2018: 8 · 2017: 3
- Type
- book review
- Language
- en
- Open access
- closed
- Locations
- Quality Management Journal (publishedVersion)
- 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 › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Financial Services
- Keywords
- blockchain, Bitcoin, cryptocurrency, digital currency, money, business disruption, technology adoption
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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