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
Exploring high-performers' required competencies
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
Segmenting and mining the ERP users' perceived benefits using the rough set approach
Expert Systems with Applications: An International Journal
Journal of Engineering and Technology Management
Domain driven data mining in human resource management: A review of current research
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
In order to maintain technical competitiveness, companies have an ongoing need to identify and foster core competencies for technical professionals in the area of research and development (R&D). Exploring core competencies is, however, a qualitative problem. The rough set theory (RST), which has recently become well known as a data-mining technique, is a good tool for data reduction in qualitative analysis. Thus, the rough set approach is suitable for dealing with the problem of exploring competencies. This study extends practical applications of RST in mining the critical competencies for R&D technical professionals employed by semiconductor manufacturers in Taiwan. This paper demonstrates a successful reduction of the numerous essential competencies into a more compact set, and arrived at six core competencies which can be regarded as the as indispensable attributes for the design of competency development programs for R&D technical professionals.