DocumentCode
509282
Title
Research on Fuzzy Comprehensive Evaluation of R&D Staff Based on Competency Model and Case Analysis
Author
Xing Jin-ling
Author_Institution
Coll. of Econ. & Manage., Xi´an Technol. Univ., Xi´an, China
Volume
3
fYear
2009
fDate
26-27 Dec. 2009
Firstpage
133
Lastpage
136
Abstract
Based on the competency evaluation theory, this paper analyzes R&D staff´ s core competency by using Question-and-Answer Survey and Behavioral Event Interviewing. The author not only establishes evaluation index system of R&D staff´ s core competency, but also uses fuzzy mathematics to set the fuzzy comprehensive evaluation model of calculating R&D staff´ s core competency. we This model is based on the five first-class indicators consisting of personal qualities, knowledge levels, working ability, achievement motivation and team spirit and 17 second-class indicators. By empirical case study on competency evaluation index system, it helps to avoid subjectivity and uncertainty brought about by traditional methods, in this sense, it contributes to the improvements of the effective HR management. The index system and model established under guidance of competency theory as well as scientific analysis and evaluation method in this paper can be used to guide the work of recruitment, selection, promotion and successor-planning of suitable personnel.
Keywords
fuzzy set theory; research and development; scientific information systems; R&D staff based; achievement motivation team spirit; behavioral event interviewing; competency evaluation index system; competency evaluation theory; competency model case analysis; consisting personal qualities; effective HR management; evaluation index system; five first class indicators; fuzzy comprehensive evaluation; fuzzy comprehensive evaluation model; fuzzy mathematics; guidance competency theory; knowledge levels; question answer survey; scientific analysis evaluation; second class indicators; successor planning promotion; working ability; Fuzzy sets; Fuzzy systems; Human resource management; Information analysis; Innovation management; Mathematical model; Personnel; Recruitment; Research and development; Research and development management; Competency; Competency evaluation index system; Competency evaluation model; Fuzzy comprehensive evaluation; R&D staff;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-0-7695-3876-1
Type
conf
DOI
10.1109/ICIII.2009.342
Filename
5369821
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