A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems

Publisher:
IEEE Industrial Electronics Society
Publication Type:
Journal Article
Citation:
IEEE Transactions On Industrial Electronics, 2013, 60 (3), pp. 1059 - 1069
Issue Date:
2013-01
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This paper presents a novel situation retrieval (SR) model for supporting cognition-driven decision processes in digital business ecosystems. Cognitive decision support in digital ecosystems is concerned with decision makers cognitive processes. This study aims to facilitate cognitive decision support to decision makers on the basis of current business intelligence (BI) platform. Underlying foundations of the SR model are two types of mental constructs: situation awareness (SA) and mental models of decision makers and the model of naturalistic decision making (NDM). These mental constructs and NDM are integrated into the BI application framework. Our experiments showed that the SR model was playing a nontrivial role to help decision makers develop enhanced SA and reuse their past experience to make better decisions.
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