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Monetary reward mechanism for promoting online knowledge sharing: A modeling study.

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This study introduces an optimal control model to determine the best monetary reward policies for stimulating online knowledge sharing. The findings offer a novel approach to enhance organizational knowledge management and competitive advantage.

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Area of Science:

  • Organizational Behavior
  • Knowledge Management
  • Operations Research

Background:

  • Sustained competitive advantage relies on effective knowledge sharing within organizations.
  • Monetary rewards are a direct incentive for stimulating online knowledge sharing behaviors.
  • Existing strategies for knowledge sharing promotion lack a formalized optimization approach.

Purpose of the Study:

  • To develop a satisfactory knowledge-sharing promotion policy using monetary rewards.
  • To apply optimal control theory to model and solve the problem of incentivizing knowledge sharing.
  • To introduce a novel application of optimal control modeling in the domain of knowledge sharing research.

Main Methods:

  • Developed a state evolutionary model for a knowledge-sharing community.
  • Reduced the problem to an optimal control model.
  • Applied optimal control theory to derive a solution algorithm and validated its feasibility and applicability.

Main Results:

  • An algorithm for solving the optimal control model was successfully developed.
  • The feasibility and applicability of the proposed algorithm were validated through analysis.
  • The study demonstrates the first-time application of optimal control modeling to knowledge sharing.

Conclusions:

  • Optimal control modeling provides a robust framework for designing effective monetary reward policies for knowledge sharing.
  • The developed algorithm offers a practical tool for organizations seeking to optimize knowledge sharing incentives.
  • This research establishes a new methodological approach for studying and enhancing organizational knowledge management.