Responsible AI in philanthropy: Determinants of adoption across technology, organization and environment

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dc.contributor.authorTreacy, Stephen
dc.contributor.authorWang, Fan
dc.contributor.authorDemesi, Hoperodney
dc.contributor.authorWang, Kemeng
dc.contributor.authorBhosle, Poornima
dc.contributor.authorTwiss, Sean
dc.contributor.authorHeavin, Ciara
dc.date.accessioned2026-07-03T14:50:01Z
dc.date.available2026-07-03T14:50:01Z
dc.date.issued2026-04-09
dc.description.abstractArtificial Intelligence (AI) presents opportunities for philanthropy, but adoption remains constrained by ethical sensitivities, resource limitations, and mission-driven commitments. Existing frameworks such as TAM, UTAUT, and HOT-Fit lack the specificity required to capture the ethical, governance, and legitimacy challenges of this sector. This study adapts the Technology–Organisation–Environment (TOE) framework, enriched by the Context–Input–Process–Product (CIPP) model, to examine responsible AI adoption in philanthropic organisations. Drawing on fourteen semi-structured interviews with philanthropy leaders and AI practitioners, the findings reveal how technological barriers such as poor data quality and interoperability intersect with organisational challenges of cultural readiness, leadership, and ethical oversight, and environmental pressures of regulation, donor expectations, and reputational risk. The adapted TOE+CIPP framework highlights that trust, accountability, and mission alignment are as decisive as technical readiness. The study contributes theoretical extensions to IS adoption research and practical insights for mission-driven, resource-constrained sectors navigating responsible AI adoption.en
dc.description.versionpreprint
dc.format.extent28
dc.format.mimetypeapplication/pdfen
dc.identifier.authororcidTreacy, Stephen§0000-0002-3980-5565
dc.identifier.authororcidWang, Fan
dc.identifier.authororcidDemesi, Hoperodney
dc.identifier.authororcidWang, Kemeng
dc.identifier.authororcidBhosle, Poornima
dc.identifier.authororcidTwiss, Sean
dc.identifier.authororcidHeavin, Ciara§0000-0001-8237-3350
dc.identifier.citationTreacy, S, Wang, F, Demesi, H, Wang, K, Bhosle, P, Twiss, S & Heavin, C 2026, Responsible AI in philanthropy: Determinants of adoption across technology, organization and environment. in UK Academy for Information Systems Conference 2026 (UKAIS 2026), Sheffield, United Kingdom, 9-10 April 2026. Association for Information Systems Electronic Library, AISeL, pp. 1-28.
dc.identifier.endpage28
dc.identifier.otherORCID: /0000-0001-8237-3350/work/219629423
dc.identifier.otherORCID: /0000-0002-3980-5565/work/219630087
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/18996
dc.language.isoen
dc.publisherAssociation for Information Systems Electronic Library, AISeL
dc.rights© 2026, the Authors.
dc.rights.accessrightsopen access
dc.statusPeer reviewed
dc.subjectResponsible AI
dc.subjectTrust
dc.subjectGovernance
dc.subjectAdoption
dc.subjectPhilanthropy
dc.subjectTechnology–Organisation–Environment (TOE) framework
dc.subject[CUBS]
dc.titleResponsible AI in philanthropy: Determinants of adoption across technology, organization and environmenten
dc.typeConference item
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