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dc.contributor.author
Ballandies, Mark C.
dc.contributor.author
Dapp, Marcus M.
dc.contributor.author
Pournaras, Evangelos
dc.date.accessioned
2022-05-20T05:13:02Z
dc.date.available
2021-05-06T13:37:47Z
dc.date.available
2021-05-06T13:42:46Z
dc.date.available
2021-05-06T13:50:33Z
dc.date.available
2022-05-20T05:10:08Z
dc.date.available
2022-05-20T05:10:44Z
dc.date.available
2022-05-20T05:13:02Z
dc.date.issued
2022-06
dc.identifier.issn
1386-7857
dc.identifier.issn
1573-7543
dc.identifier.other
10.1007/s10586-021-03256-w
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/482917
dc.identifier.doi
10.3929/ethz-b-000482917
dc.description.abstract
More than 1000 distributed ledger technology (DLT) systems raising $600 billion in investment in 2016 feature the unprecedented and disruptive potential of blockchain technology. A systematic and data-driven analysis, comparison and rigorous evaluation of the different design choices of distributed ledgers and their implications is a challenge. The rapidly evolving nature of the blockchain landscape hinders reaching a common understanding of the techno-socio-economic design space of distributed ledgers and the cryptoeconomies they support. To fill this gap, this paper makes the following contributions: (i) A conceptual architecture of DLT systems with which (ii) a taxonomy is designed and (iii) a rigorous classification of DLT systems is made using real-world data and wisdom of the crowd. (iv) A DLT design guideline is the end result of applying machine learning methodologies on the classification data. Compared to related work and as defined in earlier taxonomy theory, the proposed taxonomy is highly comprehensive, robust, explanatory and extensible. The findings of this paper can provide new insights and better understanding of the key design choices evolving the modeling complexity of DLT systems, while identifying opportunities for new research contributions and business innovation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Blockchain
en_US
dc.subject
Distributed ledgers
en_US
dc.subject
Taxonomy
en_US
dc.subject
Cryptoeconomic design
en_US
dc.subject
Token engineering
en_US
dc.subject
Classification
en_US
dc.title
Decrypting distributed ledger design - taxonomy, classification and blockchain community evaluation
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2021-04-24
ethz.journal.title
Cluster Computing
ethz.journal.volume
25
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
Cluster comput.
ethz.pages.start
1817
en_US
ethz.pages.end
1838
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Dordrecht
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
en_US
ethz.date.deposited
2021-05-06T13:38:05Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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