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Article: Co-occurrence analysis of domain knowledge in E-learning enabled workforce development

TitleCo-occurrence analysis of domain knowledge in E-learning enabled workforce development
Authors
KeywordsCo-occurrence analysis
E-learning
Human resource management
Workforce development
Issue Date2011
PublisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijceell
Citation
International Journal Of Continuing Engineering Education And Life-Long Learning, 2011, v. 21 n. 1, p. 87-102 How to Cite?
AbstractE-learning is increasingly playing an important role in human resource development, attracting increasing attention from both researchers and practitioners. Various topics on e-learning for workforce development have emerged, showing the dynamics of knowledge in this field. This study aims to determine the core concepts and research themes in the domain of e-learning enabled workforce development. Academic and industrial journals, magazines, and conference proceedings in this field were selected as the dataset. A set of methods including co-occurrence analysis, hierarchical cluster analysis, and social network analysis were employed for data analysis. The results revealed a number of key topics in the field and found that current knowledge in e-learning enabled workforce development is mainly constructed around three themes: technology-enabled employee training and performance practice; success factors and effectiveness of e-learning and virtual learning community; and e-learning usability, delivery and marketing strategy. Copyright © 2011 Inderscience Enterprises Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/135598
ISSN
2015 SCImago Journal Rankings: 0.217
References

 

DC FieldValueLanguage
dc.contributor.authorCheng, Ben_HK
dc.contributor.authorWang, Men_HK
dc.date.accessioned2011-07-27T01:37:27Z-
dc.date.available2011-07-27T01:37:27Z-
dc.date.issued2011en_HK
dc.identifier.citationInternational Journal Of Continuing Engineering Education And Life-Long Learning, 2011, v. 21 n. 1, p. 87-102en_HK
dc.identifier.issn1560-4624en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135598-
dc.description.abstractE-learning is increasingly playing an important role in human resource development, attracting increasing attention from both researchers and practitioners. Various topics on e-learning for workforce development have emerged, showing the dynamics of knowledge in this field. This study aims to determine the core concepts and research themes in the domain of e-learning enabled workforce development. Academic and industrial journals, magazines, and conference proceedings in this field were selected as the dataset. A set of methods including co-occurrence analysis, hierarchical cluster analysis, and social network analysis were employed for data analysis. The results revealed a number of key topics in the field and found that current knowledge in e-learning enabled workforce development is mainly constructed around three themes: technology-enabled employee training and performance practice; success factors and effectiveness of e-learning and virtual learning community; and e-learning usability, delivery and marketing strategy. Copyright © 2011 Inderscience Enterprises Ltd.en_HK
dc.languageengen_US
dc.publisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijceellen_HK
dc.relation.ispartofInternational Journal of Continuing Engineering Education and Life-Long Learningen_HK
dc.rightsInternational Journal of Continuing Engineering Education and Life-Long Learning. Copyright © Inderscience Publishers.-
dc.subjectCo-occurrence analysisen_HK
dc.subjectE-learningen_HK
dc.subjectHuman resource managementen_HK
dc.subjectWorkforce developmenten_HK
dc.titleCo-occurrence analysis of domain knowledge in E-learning enabled workforce developmenten_HK
dc.typeArticleen_HK
dc.identifier.emailWang, M: magwang@hku.hken_HK
dc.identifier.authorityWang, M=rp00967en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1504/IJCEELL.2011.039696en_HK
dc.identifier.scopuseid_2-s2.0-79954613673en_HK
dc.identifier.hkuros187386en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79954613673&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume21en_HK
dc.identifier.issue1en_HK
dc.identifier.spage87en_HK
dc.identifier.epage102en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridCheng, B=37074211400en_HK
dc.identifier.scopusauthoridWang, M=8723779700en_HK

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