Title page for etd-0623114-174420


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URN etd-0623114-174420
Author Wen-chin Tsai
Author's Email Address No Public.
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Department Information Management
Year 2013
Semester 2
Degree Master
Type of Document
Language English
Title The Influences of Knowledge Loss and Knowledge Retention Mechanisms on Absorptive Capacity and Performance of MIS Departments
Date of Defense 2014-07-01
Page Count 106
Keyword
  • Absorptive capacity
  • Knowledge loss
  • Knowledge management
  • Performance
  • Knowledge retention
  • Abstract Knowledge management is an important issue for organizations since knowledge is the source of competitive advantages and excellent performance, but the investment in knowledge management isn’t necessary effective in retaining knowledge. Previous studies focusing on knowledge loss conducted case studies stating its impacts on organizational performance. However, few studies provide empirical evidence and whether the effect of knowledge loss on performance is direct or indirect is not clarified.  
      In this study, survey method is conducted to examine the influences of knowledge loss in MIS departments because the high turnover rate of technical employees and the rapid changes in technical environment may worsen the situation. Besides, according to dynamic capability theory, absorptive capacity is critical for employees facing turbulent and dynamic environment. Thus, we assert that knowledge loss impacts MIS departments’ performance via its impacts on absorptive capacity. Knowledge retention in human resource management and information system application are also included in the research model to examine their effectiveness in mitigating knowledge loss.
      Hypotheses are tested with the data collected from 191 MIS employees in firms in Taiwan. The results indicate that knowledge loss impacts on MIS departments’ absorptive capacity and consequently on performance, and information systems could mitigate knowledge loss while human resource management practice is negatively but not significantly related to knowledge loss. The results provide more understanding of knowledge loss and potential issues for academics, and for practitioners, this study could serve as the reference for designing and adopting knowledge management mechanisms.
    Advisory Committee
  • Jen-Ruei Fu - chair
  • Tsai-hsin Chu - co-chair
  • Hsu-Li Huang - co-chair
  • Shih-Chieh Hsu - advisor
  • Tung-Ching Lin - advisor
  • Files
  • etd-0623114-174420.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2014-07-23

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