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dc.contributor.authorStrand, Tina Alexandra Ngo
dc.contributor.authorBreunig, Karl Joachim
dc.date.accessioned2022-04-01T08:30:58Z
dc.date.available2022-04-01T08:30:58Z
dc.date.created2022-01-26T15:16:07Z
dc.date.issued2021
dc.identifier.isbn9789523356917
dc.identifier.urihttps://hdl.handle.net/11250/2989132
dc.description.abstractResearch addressing artificial intelligence (AI), and related topics, is rapidly increasing. However, despite this emerging interest, the current body of published research remains complex and unstructured. In particular, it remains to be understood how these technologies is implemented and cause changes in man-machine collaboration. To inform this issue, we conducted a bibliometric analysis of extant literature on AI and man-machine collaboration to take stock of extant published research in order to provide a foundation upon which both future theory and practice can be built. Our study contributes with the identification of four important dimensions of man-machine collaboration; Knowledge worker, Organization, Market, and Society. Moreover, our findings reveals that extant research is inconclusive with respect to the forces affecting these dimensions as different authors record both proactive forces and constraining forces associated with each of the four dimensions.en_US
dc.language.isoengen_US
dc.publisherInternational Society for Professional Innovation Managementen_US
dc.relation.ispartofISPIM connects Valencia. Reconnect, Rediscover, Reimagine
dc.subjectArtificial intelligenceen_US
dc.subjectBibliometric analysesen_US
dc.subjectDigital transformationsen_US
dc.subjectCognitive technologyen_US
dc.subjectMan-machine collaborationen_US
dc.titleA bibliometric analysis of how cognitive technologies affects man-machine collaborationen_US
dc.typeConference objecten_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
dc.identifier.cristin1990621
dc.source.pagenumber1-14en_US


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