Publication2024
Building the Perfect Match Using Artificial Intelligence in Career Development
- Quality Education
- Decent Work and Economic Growth
- Partnerships for the Goals
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- International — held abroad
- Journal
- AI Oriented Competency Framework for Talent Management in the Digital Economy Models Technologies Applications and Implementation
- Pages
- 120-140
- Published
- 1 January 2024
- DOI
- 10.1201/9781003440901-8
- Scopus ID
- 85192875819
- Authors
- 5
- Open access
- No
- Citations
- 1
- International co-authorship
- Yes
- Co-author countries
- IN, US
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
8.5 Achieve full and productive employment and decent work for all, with equal pay for work of equal value
AI-enabled career development framework using job demands-resources model improves employment matching and personalized skill development for workforce productivity enhancement.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
4.4 Substantially increase the number of youth and adults with relevant skills for employment, decent jobs and entrepreneurship
Targeted learning experiences and skill development recommendations represent capacity-building interventions in career development and human capital formation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 8 label. AI-enabled career development framework using job demands-resources model improves employment matching and personalized skill development for workforce productivity enhancement.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Building the Perfect Match Using Artificial Intelligence in Career Development”. Kortex.