TITLE:
Forecast Competency Migration by a Methodology of Competency Analytics
AUTHORS:
Gang Zhao, Debbie Carlton
KEYWORDS:
Competency, Competency Framework, Gap Analysis, Knowledge Base, Competence Semantics, Competency Analytics, Career Migration, Workforce Planning
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.3 No.11,
November
20,
2015
ABSTRACT: Competency migration is an
evolution from one competence profile to another. A basic task in forecasting
competency migration is comparing competency data. It is both methodological
and technological challenge to make competency data comparable syntactically
and semantically, since they vary in purpose, origin, assumption and format.
The paper describes a knowledge- based data processing approach to competency
forecasting. It combines knowledge and data engineering methodologies and takes
advantage of knowledge technologies, with the aim at objective, comprehensive,
consistent, traceable and scalable analysis. The competency data are collected
from Gas, Power, Waste and Water industries and analyzed for skill foresights
into 2030 in a research programme at Energy & Utility Skills Group, UK.