Large-scale Visualisations in Support of Strategic Decisions

dc.contributor.authorMenukhin, Olga
dc.date.accessioned2022-06-22T04:22:41Z
dc.date.available2022-06-22T04:22:41Z
dc.date.issued2022
dc.description.abstractDigitalisation of organisational processes requires decision makers to evaluate information generated by newly-adopted digital technology. Making business decisions that involve digital modelling and the impact of visualising model-derived alternatives on strategic decision-making has not been explored by neither management nor visualisation literature. Current visualisation research lacks studies evidently connecting data visualisation to decision-making in the corporate environment. This research addresses this gap by investigating information visualisation requirements when digital alternatives are shown in the context of multi-perspective distributed decision-making, where multiple stakeholders will have different information needs as well as evaluative and decision- making tasks. This study contributes to the visualisation research agenda by focusing on explicit visualisation support to management decision-making in organisations by: 1) exploring information and visualisation requirements for cross-functional stakeholders, 2) developing information visualisation principles to support collaborative distributed decision- making, 3) exploring visualisations as evolvable boundary objects.en
dc.identifier.doi10.48340/ecscw2022_dc07
dc.identifier.pissn2510-2591
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4363
dc.language.isoen
dc.publisherEuropean Society for Socially Embedded Technologies (EUSSET)
dc.relation.ispartofProceedings of 20th European Conference on Computer-Supported Cooperative Work
dc.relation.ispartofseriesReports of the European Society for Socially Embedded Technologies: vol. 6, no. 3
dc.titleLarge-scale Visualisations in Support of Strategic Decisionsen
dc.typeText/Conference Paper
gi.conference.date27 June - 1 Juli 2022
gi.conference.locationCoimbra, Portugal
gi.conference.sessiontitleDoctoral Colloquium
mci.conference.reviewfull

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