Linking knowledge sharing to innovative behavior : the moderating role of collectivism
Purpose: The purpose of this study is to examine the relationship between behavior-oriented knowledge sharing and innovative behavior and the moderating effects of collectivism on the aforementioned relationship. It also assesses the impact of epistemic motivation and pro-social motivation on behavior-oriented knowledge sharing. Design/methodology/approach: Focusing on Chinese context, the study conducts a questionnaire survey to test the research model. Linear regression analysis is used to examine the main effects of the independent variables, and the multi-level linear regression model is used to evaluate the moderating effects of the controlled variables. Findings: The findings reveal that epistemic motivation stimulates individual-oriented knowledge sharing and pro-social motivation stimulates organization-oriented knowledge sharing. Organization-oriented knowledge sharing impacts more than individual-oriented knowledge sharing on innovative behavior. Moreover, collectivism is shown to positively moderate the relationship between behavior-oriented knowledge sharing and innovative behavior. Practical implications: The study provides evidence that motivation should be significantly considered when sharing knowledge. Managers should prioritize the promotion of employees’ epistemic and pro-social motivation. The study also suggests that encouraging collectivism should be an important objective, as it moderates the relationship between knowledge sharing and innovative behavior positively. Originality/value: The study emphasized how individual-oriented and organization-oriented knowledge sharing impacts innovative behavior differently and how collectivism moderates that relationship. It also illustrates how epistemic and pro-social motivation affects behavior-oriented knowledge sharing. The study contributes to a stream of research that links knowledge sharing and innovative behavior.
Year of publication: |
2019
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Authors: | Pian, Qian Ya ; Jin, Hui ; Li, Hui |
Published in: |
Journal of Knowledge Management. - Emerald, ISSN 1367-3270, ZDB-ID 2009195-3. - Vol. 23.2019, 8 (14.10.), p. 1652-1672
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Publisher: |
Emerald |
Saved in:
Online Resource
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