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A Knowledge Worker Desktop Model (KWDM) Applied to Decision Support System
Abstract
The concept of information system covers two notions: on the one hand, the reality of the evolving organization that collects, communicates, and records information; and, on the over hand, the digital information system, artificial object conceived by humans to acquire, process, store, transmit, and restore the information allowing them to carry out their activities within the context of the organization (Reix, 1995). We shall refer hereinafter to the digital information system. In the first part of this article, we present the knowledge worker desktop’s model (KWDM). This model highlights three types of data: “main-stream” data, shared-data, and source-of- knowledge-data. In the second part, we describe a group decision and negotiation system (GDNS) for operational performance management (OPM) implemented in an entertainment company based in France. This GDNS addresses a zero latency organization problem that is to provide decision makers, both strategic and operational, with the insight they need to interpret multiple and complex operational data, and take immediate decision close to the action. In the third part, in order to validate the KWDM model, we present the methodology that consists to match each system’s component with each model’s element, and the study’s outcomes. This analysis leads to highlight the formalization of the different data flows, the impact of the system on the organization, and to confirm the importance of human factor in the group decision and negotiation process. Furthermore, it opens new, perspectives particularly the influence of the intention, the importance of shared-data system and the role of the system in the organizational learning process to insure the business continuity plan.
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