Affiliations: The George Washington University, Washington, DC, USA
Note: [] Corresponding author: Kenneth R. Shelby, The George Washington
University, Washington, DC, USA. E-mail: [email protected]
Abstract: This original experiment demonstrates knowledge workers' ability to
learn faster when a common knowledge base is represented in the recommended
information structures. This paper describes the unique application of these
new structures and closed knowledge system techniques in an open knowledge
system employed as a collaborative environment. Information technology based
collaborative environments can help teammates share by eliciting knowledge
capture in these recommended information structure constructs. The new
structure, named Multiple Informational Representations Required of Referent
(MIRRoR) Knowledge, is shown to allow knowledge workers to learn faster and do better
on posttest questions. Findings: Knowledge bases represented in a
MIRRoR Knowledge structure improve men's and women's ability to learn and remember knowledge base content,
with 99% confidence. Higher performing teams effectively leverage open knowledge systems to collaborate
synergistically. Business stands to reap the practical rewards of higher
performing teams when efficiency gains create more enterprise value sooner.
Keywords: Open knowledge systems, collaborative environments, information structure, knowledge worker efficiency, IT systems