Cited by 291Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningDigital Transformation in Law

A decentralized token economy: How blockchain and cryptocurrency can revolutionize business

Lee, Jei Young·2019·Business Horizons

Integrity signals

Registry

Crossref · 10.1016/j.bushor.2019.08.003

Cites

35 of 35 references verified0 citation errors · 0 not checkable

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  • The evolving blockchain technology creates the concept of a token economy where community revenue can be allocated to users who create value.

    “The evolving blockchain technology creates the concept of a token economy where the community’s revenue can be allocated to the users who create value in the system [69].”

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Authors
Lee, J. Y.
Affiliations
Science and Technology Policy Institute (KR)
Corresponding author
Lee, Jei Young
Venue
Business Horizons
Publisher
Elsevier BV
Published
2019-11
Volume
62
Issue
6
Pages
773-784
ISSN
0007-6813 (ISSN-L)
OpenAlex
W2976745054
Cited by
291
References
35
Citations by year
2026: 13 · 2025: 36 · 2024: 51 · 2023: 71 · 2022: 53 · 2021: 41 · 2020: 24 · 2019: 2
FWCI
37.33
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 › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Law
Keywords
blockchain, cryptocurrency, token economy, decentralization (distributed systems), business models, peer-to-peer networks, information security, transparency, value allocation, economic paradigms

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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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