Collaborative Information Retrieval among Economic Intelligence Actors
Identifieur interne : 003E79 ( Main/Exploration ); précédent : 003E78; suivant : 003E80Collaborative Information Retrieval among Economic Intelligence Actors
Auteurs : Victor Odumuyiwa [France] ; Amos David [France]Source :
English descriptors
- mix :
Abstract
In this paper we present collaborative information retrieval (CIR) for decision making. We take Economic Intelligence (EI) as application domain and we propose an approach for managing CIR among actors in the domain. EI process has information as a central object. In EI, we consider the translation of a decision making problem to information search problem; retrieval of needed information and processing this information to determine indicators that can aid in decision making. All these stages require collaboration among the EI actors. There are two major factors that affect collaboration: collaboration technology and culture of openness. The question to be posed is how can we manage collaborative information retrieval among EI actors taking into consideration the technological and cultural constraints? In attempting to answer this question, we propose a framework and a model for facilitating and managing collaborative information retrieval among EI actors.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>3CM framework</term><term>COCIR model</term><term>collaborative information retrieval</term><term>communication</term><term>coordination</term><term>economic intelligence</term><term>knowledge management</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper we present collaborative information retrieval (CIR) for decision making. We take Economic Intelligence (EI) as application domain and we propose an approach for managing CIR among actors in the domain. EI process has information as a central object. In EI, we consider the translation of a decision making problem to information search problem; retrieval of needed information and processing this information to determine indicators that can aid in decision making. All these stages require collaboration among the EI actors. There are two major factors that affect collaboration: collaboration technology and culture of openness. The question to be posed is how can we manage collaborative information retrieval among EI actors taking into consideration the technological and cultural constraints? In attempting to answer this question, we propose a framework and a model for facilitating and managing collaborative information retrieval among EI actors.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Odumuyiwa, Victor" sort="Odumuyiwa, Victor" uniqKey="Odumuyiwa V" first="Victor" last="Odumuyiwa">Victor Odumuyiwa</name></region><name sortKey="David, Amos" sort="David, Amos" uniqKey="David A" first="Amos" last="David">Amos David</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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