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

Knowledge sharing is critical for an organization to acquire sustained competitive advantage. Bestowing monetary rewards may possibly the most direct method of stimulating online knowledge sharing. Under the monetary reward mechanism for promoting knowledge sharing, we intend to find a satisfactory knowledge-sharing promotion policy. First, based on a state evolutionary model for the knowledge-sharing community, we reduce the original problem to an optimal control model. Second, applying optimal control theory to the model, we give an algorithm for solving the model. Next, we validate the feasibility of the algorithm. Finally, we inspect the applicability of the algorithm. To our knowledge, this is the first time the optimal control modeling technique is applied to the research of knowledge sharing.

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Publication Details

Journal
PLoS ONE
Published
2025-04-07
DOI
https://doi.org/10.1371/journal.pone.0320236
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Lu‐Xing Yang, Xuhui Hu, Xiaofan Yang, Qin Yang
PLoS ONE
Knowledge Management and Sharing
article

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

Lu‐Xing Yang, Xuhui Hu, Xiaofan Yang, Qin Yang
article en

Abstract

Knowledge sharing is critical for an organization to acquire sustained competitive advantage. Bestowing monetary rewards may possibly the most direct method of stimulating online knowledge sharing. Under the monetary reward mechanism for promoting knowledge sharing, we intend to find a satisfactory knowledge-sharing promotion policy. First, based on a state evolutionary model for the knowledge-sharing community, we reduce the original problem to an optimal control model. Second, applying optimal control theory to the model, we give an algorithm for solving the model. Next, we validate the feasibility of the algorithm. Finally, we inspect the applicability of the algorithm. To our knowledge, this is the first time the optimal control modeling technique is applied to the research of knowledge sharing.

PLoS ONEVol. 20(4)
Deakin University (AU), Chongqing University (CN)
Innovative Research Group Project of the National Natural Science Foundation of China
Partnerships for the goals
Openalex Percentile: Top 92%
Knowledge Management and Sharing
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