Artificial Intelligence (AI) capabilities, trust and Open Source Software team performance

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dc.contributor.authorThummadi, Babu Veeresh
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2021-10-01T08:01:13Z
dc.date.available2021-10-01T08:01:13Z
dc.date.issued2021-08-25
dc.date.updated2021-10-01T07:40:48Z
dc.description.abstractIn recent years, Artificial Intelligence (AI) has become a key element in digital platforms for improving performance. Despite vast body of knowledge it is yet unclear on how AI can be successfully integrated into platforms and what are the key mechanisms that drive the performance in digital platforms such as open source. To investigate this phenomena a survey has been conducted to understand how AI capabilities (i.e., capabilities associated with AI resources/usage) on Open Source Software (OSS) team performance. The analysis highlights the role of trust in driving OSS team performance and suggests that designers need to pay more attention to cognition when dealing with AI technologies and opportunities.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationThummadi, B. V. (2021) 'Artificial Intelligence (AI) capabilities, trust and Open Source Software team performance', in Dennehy, D., Griva, A., Pouloudi, N., Dwivedi, Y. K., Pappas, I. and Mäntymäki, M. (eds) Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021, National University of Ireland Galway, 1-3 September. Lecture Notes in Computer Science, vol 12896, pp. 629-640. Springer: Cham. doi: 10.1007/978-3-030-85447-8_52en
dc.identifier.doi10.1007/978-3-030-85447-8_52en
dc.identifier.endpage640en
dc.identifier.issn0302-9743
dc.identifier.journaltitleLecture Notes in Computeren
dc.identifier.startpage629en
dc.identifier.urihttps://hdl.handle.net/10468/12037
dc.identifier.volume12896en
dc.language.isoenen
dc.publisherSpringer Nature Switzerland AGen
dc.relation.ispartofResponsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021, National University of Ireland Galway, 1-3 September
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2094/IE/Lero - the Irish Software Research Centre/en
dc.relation.urihttps://www.i3e2021.com/
dc.rights© 2021, IFIP International Federation for Information Processing. Published by Springer Nature Switzerland AG. The final publication is available at Springer via: https://doi.org/10.1007/978-3-030-85447-8_52en
dc.subjectAI capabilitiesen
dc.subjectArtificial intelligence (AI)en
dc.subjectOpen sourceen
dc.subjectOSS team performanceen
dc.subjectTrusten
dc.titleArtificial Intelligence (AI) capabilities, trust and Open Source Software team performanceen
dc.typeConference itemen
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