Publication:

Incentivizing Data Quality in Blockchain-Based Systems – The Case of the Digital Cardossier

Date

Date

Date
2022
Journal Article
Published version

Citations

Citation copied

Spychiger, F., Tessone, C., Zavolokina, L., & Schwabe, G. (2022). Incentivizing Data Quality in Blockchain-Based Systems – The Case of the Digital Cardossier. Distributed Ledger Technologies, 1(1), 1–27. https://doi.org/10.1145/3538228

Abstract

Abstract

Abstract

Inspired by an industry initiative to address the celebrated market for lemons (poor-quality used cars), we investigate how incentives for a permissioned blockchain-based system in the automobile ecosystem can be designed to ensure high-quality data storage and use by different stakeholders. The peer-to-peer distributed ledger platform connects organizations and car owners with disparate interests and hidden intentions. While previous literature has chiefly examined incentives for permissionless platforms, we leverage studies about cr

Additional indexing

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
1

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
1

Page end

Page end

Page end
27

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2022-09-09

Date available

Date available

Date available
2022-06-13

Publisher

Publisher

Publisher

OA Status

OA Status

OA Status
Hybrid

Free Access at

Free Access at

Free Access at
DOI

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:22481

Citations

Citation copied

Spychiger, F., Tessone, C., Zavolokina, L., & Schwabe, G. (2022). Incentivizing Data Quality in Blockchain-Based Systems – The Case of the Digital Cardossier. Distributed Ledger Technologies, 1(1), 1–27. https://doi.org/10.1145/3538228

Hybrid Open Access
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Files
Files available to download:2

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Files
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