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Knowledge Transfer Within Organizations: Mechanisms, Motivation, and Consideration.

Linda Argote1

  • 1Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;

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Summary
This summary is machine-generated.

Organizational knowledge transfer, where units learn from each other, varies significantly. Success depends on opportunities, knowledge traits, transfer mechanisms, motivation, and deep consideration.

Keywords:
knowledge interpretabilityknowledge transfermulti-unit organizationspersonnel movementsuperordinate social identityvicarious learning

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Area of Science:

  • Organizational Behavior
  • Knowledge Management
  • Business Strategy

Background:

  • Knowledge transfer is crucial for organizational performance, enabling shared learning and innovation.
  • Existing research highlights significant variability in the effectiveness of knowledge transfer across organizational units.
  • Understanding the factors influencing this variation is essential for optimizing organizational learning.

Purpose of the Study:

  • To review and synthesize existing research on knowledge transfer within organizations.
  • To identify and explain the key factors contributing to the variation in knowledge transfer success.
  • To propose a theoretical framework for predicting successful knowledge transfer.

Main Methods:

  • Systematic review of academic literature on organizational knowledge transfer.
  • Identification and analysis of factors influencing knowledge transfer effectiveness.
  • Integration of identified factors into a predictive theoretical framework.

Main Results:

  • Key factors influencing knowledge transfer include opportunities, knowledge characteristics, transfer mechanisms, motivation, and depth of consideration.
  • These factors collectively explain the observed variations in knowledge transfer success.
  • A theoretical framework is presented to predict when knowledge transfer is likely to be successful.

Conclusions:

  • Addressing identified factors can improve the success rate of knowledge transfer.
  • Future research should focus on further refining our understanding of organizational knowledge transfer dynamics.
  • Optimizing knowledge transfer is vital for enhancing overall organizational performance and innovation.