Conference Paper

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

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2016

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Association for Computing Machinery

Abstract

Knowledge 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.

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Yang, Chi-Lan (2016): Understanding and Supporting Document-Based Knowledge Transfer with Moderator-Learner Interaction. Proceedings of the 2016 ACM International Conference on Supporting Group Work. DOI: 10.1145/2957276.2997029. Association for Computing Machinery. pp. 513–516. Sanibel Island, Florida, USA

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