Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers

Main Author: Zavaraqi, Rasoul
Format: Proceeding PeerReviewed application/pdf
Bahasa: eng
Terbitan: , 2010
Subjects:
Online Access: http://eprints.rclis.org/15501/1/rasoolzavaraqi_3.pdf
http://eprints.rclis.org/15501/
ctrlnum 15501
fullrecord <?xml version="1.0"?> <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 &#x2015;knowledge management&#x2016;. 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 &amp; Eleventh COLLNET Meeting, Mysore (India), 19&#x2013;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).
id IOS2947.15501
institution Eprints in Library and Information Science (E-LIS)
institution_id 402
institution_type library:special
library
library E-LIS Subject Repository
library_id 42
collection Eprints in Library and Information Science (E-LIS)
repository_id 2947
subject_area Perpustakaan dan Dokumentasi
city Rome
province INTERNASIONAL
repoId IOS2947
first_indexed 2016-09-25T16:53:26Z
last_indexed 2016-09-25T16:53:26Z
recordtype dc
_version_ 1765992139165007872
score 17.538404