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dc.contributor.authorGiannakos, Michail
dc.contributor.authorMikalef, Patrick
dc.contributor.authorPappas, Ilias
dc.date.accessioned2020-01-02T08:28:57Z
dc.date.available2020-01-02T08:28:57Z
dc.date.created2019-11-09T23:54:18Z
dc.date.issued2019
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2019, 11701 LNCS 573-584.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2634546
dc.description.abstractE-Learning systems are receiving ever increasing attention in, academia, businesses as well as in public administrations. Managers and employee who need efficient forms of training as well as learning flow within the organization, do not have to gather in a place at the same time, or to travel far away for attending courses. Contemporary affordances of e-learning systems allow them to perform different jobs or tasks for training courses according to their own scheduling, as well as collaborate and share knowledge and experiences that results rich learning flow within the organization. The purpose of this article is to provide a systematic review of empirical studies in the intersection of e-learning and organizational learning in order to summarize the current findings and guide future research. Forty peer-reviewed articles were collected from a systematic literature search and analyzed based on a categorization of their main elements. This survey identifies five major directions Technology-Enhanced Organizational learning has been focused during the last decade. Future research should leverage on big data produced from the platforms and investigate how the incorporation of advanced learning technologies (e.g., learning analytics, personalized learning) can help increasing organizational value.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleTechnology-Enhanced Organizational Learning: A Systematic Literature Reviewnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber573-584nb_NO
dc.source.volume11701 LNCSnb_NO
dc.source.journalLecture Notes in Computer Science (LNCS)nb_NO
dc.identifier.doi10.1007/978-3-030-29374-1_46
dc.identifier.cristin1745698
dc.relation.projectNorges forskningsråd: 290994nb_NO
dc.relation.projectNorges forskningsråd: 255129nb_NO
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article. Locked until 19.8.2020 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-29374-1_46nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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