English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

Enhancing the decision value of O*NET for career decision makers