DocumentCode
2220738
Title
Risk Management on Knowledge Employees Turnover in High-Tech Firms - Based on Fuzzy Comprehensive Evaluation
Author
Guangyu, Zhang ; Huajun, Li ; Depeng, Zhang
Author_Institution
Sch. of Econ. & Manage., Guangdong Univ. of Technol., Guangzhou
Volume
3
fYear
2008
fDate
19-21 Dec. 2008
Firstpage
399
Lastpage
402
Abstract
The successful human resource management (HRM) is crucial for high-tech firms to maintain competitive advantages in global strategy and knowledge economy era. However, high-tech firms suffering from high turnover rates often find it hard to keep talents. This paper, drawing upon classical HRM theory, develops the risk management framework for knowledge employeespsila turnover in high-tech firms. It evaluates the talents loss risk with fuzzy comprehensive evaluation method via a survey. Results of the study show more attention should be paid to knowledge staff loyalty and organizational behaviors in HRM.
Keywords
fuzzy set theory; human resource management; knowledge management; organisational aspects; personnel; risk management; fuzzy comprehensive evaluation; high-tech firms; human resource management; knowledge economy; knowledge employees turnover; organizational behavior; risk management; Conference management; Engineering management; Engineering profession; Human resource management; Innovation management; Knowledge management; Personnel; Risk analysis; Risk management; Technology management; fuzzy comprehensive evaluation; high-tech firms; knowledge employees´ turnover; risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on
Conference_Location
Taipei
Print_ISBN
978-0-7695-3435-0
Type
conf
DOI
10.1109/ICIII.2008.174
Filename
4737801
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