Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
Main Author: | Zavaraqi, Rasoul |
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Format: | Proceeding PeerReviewed application/pdf |
Bahasa: | eng |
Terbitan: |
, 2010
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Subjects: | |
Online Access: |
http://eprints.rclis.org/15501/1/rasoolzavaraqi_3.pdf http://eprints.rclis.org/15501/ |
ctrlnum |
15501 |
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fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title>Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers</title><creator>Zavaraqi, Rasoul</creator><subject>B. Information use and sociology of information</subject><subject>BB. Bibliometric methods</subject><description>In the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers).</description><date>2010-10-19</date><type>Journal:Proceeding</type><type>PeerReview:PeerReviewed</type><type>File:application/pdf</type><identifier>http://eprints.rclis.org/15501/1/rasoolzavaraqi_3.pdf</identifier><identifier> Zavaraqi, Rasoul Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers., 2010 . In Sixth International Conference on Webometrics, Informetrics and Scientometrics & Eleventh COLLNET Meeting, Mysore (India), 19–22 October 2010. [Conference paper] </identifier><relation>http://eprints.rclis.org/15501/</relation><language>eng</language><recordID>15501</recordID></dc>
|
language |
eng |
format |
Journal:Proceeding Journal PeerReview:PeerReviewed PeerReview File:application/pdf File |
author |
Zavaraqi, Rasoul |
title |
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers |
publishDate |
2010 |
topic |
B. Information use and sociology of information BB. Bibliometric methods |
url |
http://eprints.rclis.org/15501/1/rasoolzavaraqi_3.pdf http://eprints.rclis.org/15501/ |
contents |
In the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers). |
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