Model for measuring articles knowledgeability levels

Universities 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 t...

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Main Authors: Al-Dala�ien A.A.-H., Mahmoud M.A., Ahmad M.S.
Other Authors: 57189635047
Format: Article
Published: Asian Research Publishing Network 2023
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spelling my.uniten.dspace-227092023-05-29T14:11:45Z Model for measuring articles knowledgeability levels Al-Dala�ien A.A.-H. Mahmoud M.A. Ahmad M.S. 57189635047 55247787300 56036880900 Universities 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. Final 2023-05-29T06:11:45Z 2023-05-29T06:11:45Z 2016 Article 2-s2.0-84973522311 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973522311&partnerID=40&md5=bf85604bbafbf1ecc52049beaee148ef https://irepository.uniten.edu.my/handle/123456789/22709 88 1 1 10 Asian Research Publishing Network Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Universities 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.
author2 57189635047
author_facet 57189635047
Al-Dala�ien A.A.-H.
Mahmoud M.A.
Ahmad M.S.
format Article
author Al-Dala�ien A.A.-H.
Mahmoud M.A.
Ahmad M.S.
spellingShingle Al-Dala�ien A.A.-H.
Mahmoud M.A.
Ahmad M.S.
Model for measuring articles knowledgeability levels
author_sort Al-Dala�ien A.A.-H.
title Model for measuring articles knowledgeability levels
title_short Model for measuring articles knowledgeability levels
title_full Model for measuring articles knowledgeability levels
title_fullStr Model for measuring articles knowledgeability levels
title_full_unstemmed Model for measuring articles knowledgeability levels
title_sort model for measuring articles knowledgeability levels
publisher Asian Research Publishing Network
publishDate 2023
_version_ 1806426003056099328
score 13.209306