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

Author

Lu, Jie ; Niu, Li ; Zhang, Guangquan

Author_Institution

Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia

Volume

60

Issue

3

fYear

2013

fDate

3/1/2013 12:00:00 AM

Firstpage

1059

Lastpage

1069

Abstract

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.

Keywords

cognition; cognitive systems; competitive intelligence; decision making; decision support systems; information retrieval; BI platform; NDM; SA; SR model; business intelligence platform; cognition-driven decision process; cognitive decision support; decision maker cognitive process; decision maker mental model; digital business ecosystems; naturalistic decision making model; situation awareness; situation retrieval model; Bismuth; Cognitive science; Context; Decision making; Silicon; Strontium; Business intelligence (BI); cognitive decision support; decision support systems (DSSs); digital business ecosystems; digital ecosystems; situation awareness (SA);

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/TIE.2012.2188253

Filename

6153372