In workplaces, knowledge has the property of being individually kept and collectively shared. It is distributed and embedded among members but needs to be transferred and pooled through knowledge networks for successful collaboration. When workers are assigned to a new job, they may need to possess a specific set of knowledge on how to work on the tasks, the current status and context of work, as well as specific skills required to tackle issues and solve problems associated with the position. Transferring knowledge from experienced workers (experts) to inexperienced ones (novices) is much needed by both individuals and organizations, so that individual workers can possess knowledge essential to the work, and organizations can effectively manage knowledge critical to their operations. However, little attention is allocated to how knowledge workers accomplish knowledge transfer jointly as a team in order to handle everyday job (re-)assignments in workplaces. There is limited understanding on how members of a team work collaboratively or individually to acquire knowledge necessary for new tasks assignments. Knowledge transfer is dynamic and cannot be reduced to a means or an end. In order to understand and embody such networks, I propose to use a mixture of field observations, social network analyses, and in-depth interviews to examine the practices of knowledge transfer in organization. This research intends to enrich theoretical understanding and design opportunities to support knowledge transfer at interpersonal and collaborative level within a knowledge community.
|Effective start/end date||2019/08/01 → 2020/12/31|
- Social network
- Collaborative work
- Knowledge transfer
- Distributed cognition