Abstract
ABSTRACT O*NET provides a comprehensive system for maintaining occupational data in the U.S. This paper proposes the implementation of a career decision support system that can enhance the decision value for career decision-makers. Existing O*NET infrastructure, which includes a group of informational portals, is evaluated and areas of improvement are revealed. Analytical capabilities of prediction and prescription are identified within the theoretical context provided by career decision research and O*NET. An evaluation framework based on the analytical hierarchy process and Bayesian statistics is proposed and used to compare decision values for the existing O*NET portal against conceptualised enhanced career decision support system functionality.
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