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Knowledge Sharing Types as Predictors of Job Performance Mediated by Problem-Solving Self-Efficacy in the Information

Jon-Chao Hong1,2, Yi-Fang Lee1, Hsin-Han Chen1

  • 1Department of Industrial Education, National Taiwan Normal University, Taipei, Taiwan.

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Problem solving self-efficacy enhances IT workers' job performance through knowledge sharing. Automatic and rational reflection systems are key, while stolen reflection is not beneficial for performance.

Keywords:
information technologyjob performanceknowledge sharingmicro ecological systemproblem solving self-efficacyself-monitoring theorysystem thinking

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Area of Science:

  • Information Systems
  • Organizational Behavior
  • Human-Computer Interaction

Background:

  • Knowledge sharing is crucial for innovation in technology firms.
  • The information system integration service industry lacks research on knowledge sharing's impact.
  • Micro-ecology theory provides a framework for understanding knowledge sharing dynamics.

Purpose of the Study:

  • To explore the mediating role of four knowledge sharing types in the relationship between problem solving self-efficacy (PSSE) and IT workers' job performance.
  • To investigate how PSSE influences different knowledge sharing mechanisms.
  • To identify effective knowledge sharing strategies for enhancing IT worker performance.

Main Methods:

  • A research model was developed based on micro-ecology theory.
  • Data collected from 307 System Integration IT workers via snowball sampling and Google questionnaire.
  • Structural equation modeling (SEM) used to analyze the relationships between variables.

Main Results:

  • PSSE positively predicted all four knowledge sharing types: automatic response, rational reflection, ridiculed reflection, and stolen reflection.
  • Automatic response, rational reflection, and ridiculed reflection positively predicted job performance.
  • Stolen reflection did not show a significant positive relationship with job performance.

Conclusions:

  • Automatic response and rational reflection systems, supported by PSSE, can enhance IT worker job performance.
  • Encouraging rational reflection among System Integration workers can effectively promote knowledge sharing.
  • Firms should focus on fostering specific knowledge sharing types that demonstrably improve performance.