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The use of critical systems heuristics to surface and reconcile users' conflicting visions for a business intelligence system

dc.contributor.authorVenter, Carin
dc.contributor.authorGoede, Roelien
dc.contributor.researchID10955089 - Venter, Carin
dc.date.accessioned2018-08-14T09:51:27Z
dc.date.available2018-08-14T09:51:27Z
dc.date.issued2017
dc.description.abstractThis paper describes an action research study where the business requirements analysis approach of a business intelligence development project was enriched. Critical systems heuristics, a critical systems methodology that is positioned in the critical systems thinking paradigm, was applied to surface the inherently conflicting views and visions (however unknown to them) that the various stakeholders had regarding a new business intelligence system and its underlying business process. It therefore enabled surfacing of human/cultural and organisational issues that would have negatively affected the adoption of the new system; these were successfully resolved. Accordingly, the various stakeholders reflected on their real requirements that constituted improvement, rather than mere automation, of a business process; it ultimately resulted in a successful new business intelligence system that realised business benefits.
dc.identifier.citation2017. The use of critical systems heuristics to surface and reconcile users' conflicting visions for a business intelligence system. Systemic Practice and Action Research, 30(4):407-432. [https://link.springer.com/article/10.1007/s11213-016-9401-8]
dc.identifier.issn1094-429X
dc.identifier.issn1573-9295 (Online)
dc.identifier.urihttps://link.springer.com/article/10.1007/s11213-016-9401-8
dc.identifier.urihttp://hdl.handle.net/10394/30683
dc.language.isoen
dc.publisherSpringer
dc.subjectAction research
dc.subjectBusiness intelligence
dc.subjectRequirements analysis
dc.subjectCritical systems thinking
dc.subjectCritical systems heuristics
dc.titleThe use of critical systems heuristics to surface and reconcile users' conflicting visions for a business intelligence system
dc.typeArticle

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