Abstract
This paper presents a utility-based productivity assessment model for evaluating knowledge worker productivity, with the goal of examining the assessment process for knowledge workers with varying levels of knowledge intensity. The authors conduct an experiment to discover effects from knowledge intensity on managerial assessments of knowledge worker performance. The model presented allows for the quantification of evaluator's risk attitudes and preference, as well as relative weights for three chosen productivity metrics. The results indicate that managers' risk attitudes vary with respect to both different metrics, and to different levels of knowledge intensity.
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