Measuring knowledge work and knowledge worker productivity

SPEAKERYuri W. Ramirez
M.B.A, PhD candidate
Department of Industrial Engineering
University of Wisconsin-Madison ABSTRACT This research uses industrial engineering techniques to create applications
for the measurement of knowledge work and knowledge worker
productivity. This particular project identifies different groups of knowledge
workers by using a framework that assigns knowledge worker scores
(KWS). Using industrial engineering tools to create a dependent variable
that describes the knowledge worker and that allows us to differentiate
between them is the key to enable scientific research in the field, creating
endless opportunities to explore how the type of knowledge worker
correlates different independent variables. Scientific knowledge on
knowledge worker could save companies millions of dollars in terms of
training, increased productivity, and effective recruitment and retaining for
example.

Location: Ethel Percy Andrus Gerontology Center (GER) - 309

Audiences: Everyone Is Invited

Contact: Ronak Shah