International Journal of Man-Machine Studies
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Extracting drug utilization knowledge using self-organizing map and rough set theory
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Learning cross-level certain and possible rules by rough sets
Expert Systems with Applications: An International Journal
An efficient bit-based feature selection method
Expert Systems with Applications: An International Journal
Exploring core competencies for R&D technical professionals
Expert Systems with Applications: An International Journal
Expositing stages of VPRS analysis in an expert system: Application with bank credit ratings
Expert Systems with Applications: An International Journal
Building credit scoring models using genetic programming
Expert Systems with Applications: An International Journal
On acquiring classification knowledge from noisy data based on rough set
Expert Systems with Applications: An International Journal
Mining significant factors affecting the adoption of SaaS using the rough set approach
Journal of Systems and Software
Domain driven data mining in human resource management: A review of current research
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Competency development and management are widely regarded as vital tools to enhance competitiveness for organizations. A number of studies have suggested a variety of competency models, including a list of required competencies for use by organizations that wish to enrich their employees' competencies. However, all these required competencies do not necessarily share the same importance. To effectively implement competency development, it is desirable to distinguish the differences of perceived competency levels between high-performers and others. In doing so, a large number of required competencies can be reduced into a compact set that focuses on significant competencies of high-performers. To this end, this paper proposes a method based on the rough set theory to explore high-performers' required competencies. An empirical study is presented to illustrate the application of the proposed method. Based on our findings, conclusions and implications for management are presented.