.png){kind=icon}
.png){kind=icon}
Return
How Knowledge Validation Processes Affect Knowledge Contribution
.png){kind=icon}
PRE
AI
DOI：10.2753/MIS0742-1222250403.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To ensure that knowledge repositories contain high-quality knowledge, knowledge management research recommends that contributions to a repository undergo stringent validation processes. To date, however, no research has studied the impact of such processes on contributors' repository-related perceptions or behaviors. To address this gap, we develop a model based on signaling theory and reinforcement theory to explain how individuals' perceptions of three primary validation process characteristics (duration, transparency, and restrictiveness) impact their perceptions of repository knowledge quality and their contribution behaviors. Our empirical results confirm the importance of implementing review processes that are transparent and developmentally oriented as a way of encouraging knowledge contribution. More broadly, this study underscores the need to develop integrated theoretical models that draw from a variety of reference theories when attempting to explain knowledge-related behaviors.
Keywords:
knowledge contribution processes
knowledge management
knowledge repositories
knowledge sharing
knowledge sourcing
reinforcement theory
signaling theory
validation processes
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
I
IF:
8.2
Papers:
2.3K
Citations:
1.4W