Vis enkel innførsel

dc.contributor.authorTrocin, Cristina
dc.contributor.authorHovland, Ingrid Våge
dc.contributor.authorMikalef, Patrick
dc.contributor.authorDremel, Christian
dc.date.accessioned2022-10-12T05:45:16Z
dc.date.available2022-10-12T05:45:16Z
dc.date.created2022-01-03T15:36:53Z
dc.date.issued2021
dc.identifier.issn0040-1625
dc.identifier.urihttps://hdl.handle.net/11250/3025448
dc.description.abstractArtificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource Management (HRM) by creating new opportunities for complying with General Data Protection Regulation (GDPR) during data collection and analysis, decreasing biases, and offering targeted recommendations. However, AI is also posing challenges to organisations and key assumptions about digital innovation processes and outcomes, making it unclear how to combine AI affordances with actors, goals, and tasks. We conducted a qualitative multiple-case study in Scandinavian organisations offering HR services. Grounded theory guided our data collection and analysis. Input-Process-Output framework and affordance theory supported the analysis of specific information processing constraints and enablers. We developed a framework to explain how AI affordances enable digital innovation and address the calls about definitional boundaries between innovation processes and outcomes. We showed how AI affordances are actualised and how this leads to reontologising decision-making and providing data driven legitimisation. Our study contributes to digital innovation research by elucidating AI affordances and their actualisation in organisations. We conclude with the implications to theory and practice, limitations, and suggestions for future research.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleHow Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companiesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.volume173en_US
dc.source.journalTechnological Forecasting and Social Changeen_US
dc.identifier.doi10.1016/j.techfore.2021.121081
dc.identifier.cristin1973877
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal