Publication:
Model for measuring articles knowledgeability levels

Simple item page
dc.citedby4
dc.contributor.authorAl-Dala�ien A.A.-H.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorid57189635047en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.date.accessioned2023-05-29T06:11:45Z
dc.date.available2023-05-29T06:11:45Z
dc.date.issued2016
dc.description.abstractUniversities have traditionally provide teaching, research and consultancy supports in the development and advancement of various industries. Such supports are manifested in the tacit knowledge of academic staff with which they accomplish teaching, research, and consulting activities. Articles are the major explicit knowledge resources that improve the tacit knowledge levels of academic staff in order to enhance the performance of teaching, research, and consulting activities. The main challenge that faces academic staff is the difficulty of sharing accurate or valuable articles based on the working contexts due to the large number of articles published in various sources. Consequently, the main aim of this paper is to evaluate the knowledgeability level of articles based on several measurement variables. We identify and analyze the measurement methods and variables using two main data collection methods which are literature review and interview with experts in knowledge management field. We formulate the proposed model in this paper based on several components (i.e. variables, attributes, and formulas). The results show that the proposed model is useful in distinguishing the knowledgeability levels of articles. � 2005-2016 JATIT & LLS. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage10
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84973522311
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84973522311&partnerID=40&md5=bf85604bbafbf1ecc52049beaee148ef
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22709
dc.identifier.volume88
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleModel for measuring articles knowledgeability levelsen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS