Cited by 1,107Blockchain Technology Applications and SecurityE-Government and Public ServicesBlockchain Technology in Education and Learning

Blockchain in government: Benefits and implications of distributed ledger technology for information sharing

Open access
Ølnes, Svein, Ubacht, Jolien, Janssen, Marijn·2017·Government Information Quarterly

Abstract

Blockchain refers to a range of general purpose technologies to exchange information and transact digital assets in distributed networks. The core question addressed in this paper is whether blockchain technology will lead to innovation and transformation of governmental processes. To address this question we present a critical assessment of the often exaggerated benefits of blockchain technology found in the literature and discuss their implications for governmental organizations and processes. We plea for a shift from a technology-driven to need-driven approach in which blockchain applications are customized to ensure a fit with requirements of administrative processes and in which the administrative processes are changed to benefit from the technology. Having sound governance models are found to be a condition for realizing benefits. Based on a critical assessment we offer directions for further research into the potential benefits of BC applications in e-government and the role of governance of BC architectures and applications to comply with societal needs and public values.

Integrity signals

Registry

Crossref · 10.1016/j.giq.2017.09.007

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In information sharing, traditional trusted third parties (TTPs) that use certificates to provide non-repudiation services are being replaced with distributed ledger or blockchain technology (DLT).

    “In information sharing, traditional trusted third parties (TTPs) that use certificates to provide non-repudiation services, are being replaced with distributed ledger or blockchain technology (DLT) (Dunphy & Petitcolas, 2018;Ølnes, Ubacht, & Janssen, 2017).”

    From Data governance: Organizing data for trustworthy Artificial Intelligence (2020) · cites this paper as Ølnes, Ubacht, & Janssen, 2017

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ølnes, S., Ubacht, J., & Janssen, M.
Affiliations
  • Vestlandsforsking (NO)
  • Delft University of Technology (NL)
Corresponding author
Janssen, Marijn
Venue
Government Information Quarterly
Publisher
Elsevier BV
Published
2017-09
Volume
34
Issue
3
Pages
355-364
ISSN
0740-624X (ISSN-L)
OpenAlex
W2766800499
Cited by
1,107
References
4
Citations by year
2026: 66 · 2025: 99 · 2024: 118 · 2023: 154 · 2022: 176 · 2021: 190 · 2020: 152 · 2019: 108 · 2018: 40 · 2017: 4
FWCI
155.04
Type
journal article
Language
en
Open access
Locations
  • Government Information Quarterly (publishedVersion, public-domain)
  • Data Archiving and Networked Services (DANS) (submittedVersion, public-domain)
  • Research Repository (Delft University of Technology) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
blockchain, distributed ledger technology, e-government, government data sharing, technology governance, public value

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 ›

Are you an author, or do you see a problem with this page? Request a review