• 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