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      How to Promote the Capability of IT Service Outsourcing Enterprises : from the View of Knowledge Transfer

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      https://www.riss.kr/link?id=A101839224

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      Based on the knowledge resource theory, we know that the nature of enterprise capability is knowledge. But knowledge accumulation of IT service outsourcing enterprises is largely due to knowledge transfer in the outsourcing process, which plays an imp...

      Based on the knowledge resource theory, we know that the nature of enterprise capability is knowledge. But knowledge accumulation of IT service outsourcing enterprises is largely due to knowledge transfer in the outsourcing process, which plays an important role in the promotion of enterprise capability. While knowledge transfer is mainly affected by the sender’s sending ability, receiver's absorption ability, knowledge transfer situation, the characteristics of knowledge and other factors. This article discusses the mechanisms and factors of knowledge transfer, analyzes the knowledge transfer process and effect on the subject of knowledge between the IT service outsourcing enterprises, then adopts system dynamics method to build the evolution model of IT service outsourcing enterprise knowledge transfer, and takes simulation experiments with Vensim tools, finally it proposes the evolution characters and transfer mechanism of knowledge transfer between enterprises. The conclusion can provide some suggestions for IT service outsourcing enterprises and a theoretical basis for the enterprises to develop knowledge transfer strategy.

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      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Literature Review
      • 3. System Dynamics Model of Knowledge Transfer between IT Service Outsourcing Enterprises
      • 3.1. Causality Model of Knowledge Transfer
      • Abstract
      • 1. Introduction
      • 2. Literature Review
      • 3. System Dynamics Model of Knowledge Transfer between IT Service Outsourcing Enterprises
      • 3.1. Causality Model of Knowledge Transfer
      • 3.2. System Flow Chart of Knowledge Transfer
      • 3.3. The Main Variable and Equation Design
      • 4. Experiment Results
      • 5. Conclusions and Contributions
      • References
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