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dc.contributor.authorKulkarni, Aditya U.
dc.contributor.authorGirod, Ashley
dc.contributor.authorXu, Peng
dc.contributor.authorSalado, Alejandro
dc.date.accessioned2024-06-11T20:24:09Z
dc.date.available2024-06-11T20:24:09Z
dc.date.issued2023-07-02
dc.identifier.citationKulkarni AU, Girod A, Xu P, Salado A. Optimal verification strategy for general development plans using a belief-based approach. Systems Engineering. 2024; 27: 74–98. https://doi.org/10.1002/sys.21708en_US
dc.identifier.issn1098-1241
dc.identifier.doi10.1002/sys.21708
dc.identifier.urihttp://hdl.handle.net/10150/672718
dc.description.abstractVerification activities are intended to reduce the costs of system development by identifying design errors before deploying the system. However, subcontractors in multi-firm projects are motivated to implement locally cost-effective verification strategies over verification strategies that benefit the main contractor. Incentivizing verification activities is one mechanism by which the contractor can motivate subcontractors to implement verification strategies desirable to the contractor. In this paper, we present a belief-based modeling concept for determining optimal verification strategies for general development plans. The results show that the optimal incentives are a function of the subordinate firm's beliefs and the influence exerted by the subordinate firm on the supervising firm with respect to verification activities.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.rights© 2023 Wiley Periodicals LLC.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectbelief distributionsen_US
dc.subjectincentivesen_US
dc.subjectmulti-firmen_US
dc.subjectverificationen_US
dc.titleOptimal verification strategy for general development plans using a belief‐based approachen_US
dc.typeArticleen_US
dc.identifier.eissn1520-6858
dc.contributor.departmentDepartment of Systems and Industrial Engineering, The University of Arizonaen_US
dc.identifier.journalSystems Engineeringen_US
dc.description.note12 month embargo; first published 02 July 2023en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.identifier.pii10.1002/sys.21708
dc.source.journaltitleSystems Engineering
dc.source.volume27
dc.source.issue1
dc.source.beginpage74
dc.source.endpage98


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