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Business intelligence and non-profit organisations. Meaning-making in decision aiding

Abstract : Implementing a Business Intelligence approach in non-profit organisations is becoming a burgeoning field of research. In furtherance to this line of study, the situational-semiotics of Mucchielli (2012) made explicit stakeholders' reference points about what constitutes a "meaningful" Business Intelligence process. A Decision Aiding Process structured the different rationalities of stakeholders concerning how a business sector organisation could adopt a Business Intelligence process. To do this, the tried and tested tools of a SWOT analysis, Delphi technique and Visual Promothee software were used to encourage and analyse exchanges with stakeholders. The originality of this study lies in the inclusion of a structured meaning-making framework in a value-based multi-criteria decision aiding process. The findings highlight the advantages of a hybrid solution for the setting-up of a Business Intelligence process within a non-profit organisation. The article is of particular interest to those wishing to adapt practices of major Western industries to less Westernised non-profit organisations.
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Submitted on : Saturday, January 8, 2022 - 11:33:40 AM
Last modification on : Thursday, September 1, 2022 - 10:12:36 AM

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  • HAL Id : hal-03517863, version 1

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Maher Hushaysh, Michel Labour, Igor Crevits. Business intelligence and non-profit organisations. Meaning-making in decision aiding. Revue des Interactions Humaines Médiatisées (RIHM) = Journal of Human Mediated Interactions, Europia, 2019, 20 (1), pp.1-24. ⟨hal-03517863⟩

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