Understanding and Supporting Document-Based Knowledge Transfer with Moderator-Learner Interaction

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dc.contributor.authorYang, Chi-Lan
dc.date.accessioned2023-03-17T22:48:59Z
dc.date.available2023-03-17T22:48:59Z
dc.date.issued2016
dc.description.abstractKnowledge transfer in workplace, in which job-related knowledge and skills are transferred from a more experienced worker to a novice (e.g., a new employee), is common and crucial for organizations to keep transactive memory effective and avoid productivity loss. Organizational and other constraints may require expert-to-novice knowledge transfer to occur through the mediation of external artifacts (e.g., documents) or a third-party individual (e.g., human moderator), raising the need to understand how properties of such mediation influence the process and outcome of knowledge transfer. In my doctoral study, I aim to gain deeper understanding and implications for knowledge transfer designs.en
dc.identifier.doi10.1145/2957276.2997029
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4606
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2016 ACM International Conference on Supporting Group Work
dc.subjectexpert-novice interaction
dc.subjectmoderated communication
dc.subjectknowledge transfer
dc.subjectcomputer-mediated communication
dc.titleUnderstanding and Supporting Document-Based Knowledge Transfer with Moderator-Learner Interactionen
dc.typeText/Conference Paper
gi.citation.startPage513–516
gi.conference.locationSanibel Island, Florida, USA

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