Please use this identifier to cite or link to this item: https://dl.eusset.eu/handle/20.500.12015/4363
Title: Large-scale Visualisations in Support of Strategic Decisions
Authors: Menukhin, Olga
Issue Date: 2022
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Proceedings of 20th European Conference on Computer-Supported Cooperative Work
Series/Report no.: Reports of the European Society for Socially Embedded Technologies: vol. 6, no. 3
Abstract: Digitalisation 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.
metadata.dc.identifier.doi: 10.48340/ecscw2022_dc07
URI: https://dl.eusset.eu/handle/20.500.12015/4363
ISSN: 2510-2591
metadata.mci.conference.sessiontitle: Doctoral Colloquium
metadata.mci.conference.location: Coimbra, Portugal
metadata.mci.conference.date: 27 June - 1 Juli 2022
Appears in Collections:ECSCW 2022 Doctoral Colloquium

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