Cited by 238Blockchain Technology Applications and SecurityDigital Transformation in LawBlockchain Technology in Education and Learning

Disrupting governance with Blockchains and smart contracts

Shermin, Voshmgir·2017·Strategic Change

Abstract

Abstract Blockchain as an engine for auto‐enforceable smart contracts could disrupt traditional governance structures by reducing bureaucracy through lower transaction costs, solving principal–agent issues, and subsequent moral hazard. While machine consensus can radically reduce transaction costs and disrupt traditional governance structures, there is a gap between initial conceptualizations of blockchains and their first instantiations. First use cases show that as circumstances change, protocols can become inappropriate for the new environment and require modification. Modification of blockchain code happens through majority consensus, but reaching consensus in a distributed multi‐stakeholder network with sometimes unaligned interests is complex, potentially introducing new agency issues.

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Crossref · 10.1002/jsc.2150

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References 22 · Cited by 238

Authors
Shermin, V.
Affiliations
BlockchainHub Berlin Germany
Venue
Strategic Change
Publisher
Wiley
Published
2017-09
Volume
26
Issue
5
Pages
499-509
ISSN
  • 1086-1718 (ISSN-L)
  • 1099-1697
OpenAlex
W2759849223
Cited by
238
References
22
Citations by year
2026: 7 · 2025: 20 · 2024: 41 · 2023: 22 · 2022: 27 · 2021: 36 · 2020: 41 · 2019: 30 · 2018: 14
FWCI
43.25
Type
journal article
Language
en
Open access
closed
Locations
Strategic Change (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Law
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
blockchain, smart contracts, governance, principal-agent problem, moral hazard, transaction costs, consensus algorithms, multi-stakeholder networks

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