Trust building and risk mitigation via smart contracts on Amazon Mechanical Turk

  • Amazon Mechanical Turk (MTurk) allows organizations and individuals to benefit from a collective source of intelligence, skills and insights from a global population, but MTurk withdraws from responsibilities and the obligation of overlooking payment transactions. Consequently, there is no contractual agreement between the crowd worker and the requester on when payments should be authorized. Requesters even obtain ownership of the work without having to pay for it. This situation of lock-up poses a serious issue for crowd workers. As a solution to this problem, the present study introduces smart contracts to transactions on crowd work platforms, arguing that smart contracts can mitigate risks from lock-up situations and support trust, through non-alterable terms and conditions imprinted into the code of a smart contract. This research conceptualizes an online experimental study to validate the trust building and risk mitigating effects of smart contracts in crowd work transactions onAmazon Mechanical Turk (MTurk) allows organizations and individuals to benefit from a collective source of intelligence, skills and insights from a global population, but MTurk withdraws from responsibilities and the obligation of overlooking payment transactions. Consequently, there is no contractual agreement between the crowd worker and the requester on when payments should be authorized. Requesters even obtain ownership of the work without having to pay for it. This situation of lock-up poses a serious issue for crowd workers. As a solution to this problem, the present study introduces smart contracts to transactions on crowd work platforms, arguing that smart contracts can mitigate risks from lock-up situations and support trust, through non-alterable terms and conditions imprinted into the code of a smart contract. This research conceptualizes an online experimental study to validate the trust building and risk mitigating effects of smart contracts in crowd work transactions on Amazon Mechanical Turk.show moreshow less

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Metadaten
Author:Moritz BrucknerORCiDGND, Adeline FrenzelORCiDGND, Daniel VeitORCiDGND
URN:urn:nbn:de:bvb:384-opus4-832411
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/83241
URL:https://aisel.aisnet.org/amcis2020/virtual_communities/virtual_communities/11/
ISBN:978-1-7336325-4-6OPAC
Parent Title (English):AMCIS 2020 Proceedings: Americas Conference on Information Systems, Sep 12-16, 2020, Salt Lake City, UT, USA
Publisher:AISeL
Editor:Bonnie Anderson, Jason Thatcher, Rayman Meservy, Kathy Chudoba, Kelly Fadel, Sue Brown
Type:Conference Proceeding
Language:English
Year of first Publication:2020
Publishing Institution:Universität Augsburg
Release Date:2021/02/05
Edition:Online-Ressource
First Page:11
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Information Systems und Management
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):Deutsches Urheberrecht