Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61426
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dc.contributor.authorChica, Manuelen
dc.contributor.authorChiong, Raymonden
dc.contributor.authorAdam, Marc T Pen
dc.contributor.authorTeubner, Timmen
dc.date.accessioned2024-07-10T01:03:06Z-
dc.date.available2024-07-10T01:03:06Z-
dc.date.issued2019-
dc.identifier.citationScientific Reports, v.9, p. 1-12en
dc.identifier.issn2045-2322en
dc.identifier.urihttps://hdl.handle.net/1959.11/61426-
dc.description.abstract<p>In this paper, we present an evolutionary trust game, taking punishment and protection into consideration, to investigate the formation of trust in the so-called sharing economy from a population perspective. This sharing economy trust model comprises four types of players: a trustworthy provider, an untrustworthy provider, a trustworthy consumer, and an untrustworthy consumer. Punishment in the form of penalty for untrustworthy providers and protection in the form of insurance for consumers are mechanisms adopted to prevent untrustworthy behaviour. Through comprehensive simulation experiments, we evaluate dynamics of the population for different initial population setups and effects of having penalty and insurance in place. Our results show that each player type influences the 'existence' and 'survival' of other types of players, and untrustworthy players do not necessarily dominate the population even when the temptation to defect (i.e., to be untrustworthy) is high. Additionally, we observe that imposing a heavier penalty or having insurance for all consumers (trustworthy and untrustworthy) can be counterproductive for promoting trustworthiness in the population and increasing the global net wealth. Our findings have important implications for understanding trust in the context of the sharing economy, and for clarifying the usefulness of protection policies within it.</p>en
dc.languageenen
dc.publisherNature Publishing Groupen
dc.relation.ispartofScientific Reportsen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleAn Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economyen
dc.typeJournal Articleen
dc.identifier.doi10.1038/s41598-019-55384-4en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameManuelen
local.contributor.firstnameRaymonden
local.contributor.firstnameMarc T Pen
local.contributor.firstnameTimmen
local.profile.schoolSchool of Science & Technologyen
local.profile.emailrchiong@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber19789en
local.format.startpage1en
local.format.endpage12en
local.peerreviewedYesen
local.identifier.volume9en
local.access.fulltextYesen
local.contributor.lastnameChicaen
local.contributor.lastnameChiongen
local.contributor.lastnameAdamen
local.contributor.lastnameTeubneren
dc.identifier.staffune-id:rchiongen
local.profile.orcid0000-0002-8285-1903en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61426en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAn Evolutionary Game Model with Punishment and Protection to Promote Trust in the Sharing Economyen
local.relation.fundingsourcenote<p>Tis work is jointly supported by the Spanish Ministry of Science, Innovation and Universities, the National Agency for Research Funding AEI, and ERDF (EU) under grant EXASOCO (PGC2018-101216-B-I00), as well as incentive funds from the School of Electrical Engineering and Computing, The University of Newcastle, Australia. M. Chica is also supported through the Ramón y Cajal program (RYC-2016-19800).</p>en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorChica, Manuelen
local.search.authorChiong, Raymonden
local.search.authorAdam, Marc T Pen
local.search.authorTeubner, Timmen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/3c8b0768-5fbb-44da-9460-7df557e26566en
local.uneassociationNoen
dc.date.presented2019-
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2019en
local.year.presented2019en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/3c8b0768-5fbb-44da-9460-7df557e26566en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/3c8b0768-5fbb-44da-9460-7df557e26566en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-26en
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