Understanding and Supporting Document-Based Knowledge Transfer with Moderator-Learner Interaction
Association for Computing Machinery
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.