Competency Evaluation Engineering of R&D Personnel based on Rough Set
Xiao-feng Liu (),
Yan Xu,
Jia-hai Yuan and
Chang-hong Zhao
Additional contact information
Xiao-feng Liu: Hefei University of Technology
Yan Xu: North China Electric Power University
Jia-hai Yuan: North China Electric Power University
Chang-hong Zhao: North China Electric Power University
Chapter Chapter 11 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 91-98 from Springer
Abstract:
Abstract Competency model as the emerging matter in the field of human resource management has been greatly concerned. As companies realize the high performance that is produced by talent-post matching, enterprise managers think that competency model is an urgent need to implement competitive advantage. This paper studies the characteristics of R&D personnel, and uses interviews, questionnaires, and behavioral event interviews and other methods to build competency model, then determines the R&D personnel’s competency appraisal index, combines with expert evaluation and rough set theory to determine the weight factor of the evaluation, so weight distribution is more scientific and rational to improve the reliability and accuracy of the evaluation.
Keywords: Competency; R&D personnel; Rough set (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38427-1_11
Ordering information: This item can be ordered from
http://www.springer.com/9783642384271
DOI: 10.1007/978-3-642-38427-1_11
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().