However, we found that in the higher-risk scenario associated with outside-subsidiary knowledge sharing, individuals model their unit managers' knowledge sharing behaviors only when they perceive the organization to be high in willingness to take risk.
Finally, our study shows that unit co-workers are such an important social referent that, despite the higher levels of uncertainty and risk in outside-subsidiary knowledge sharing, individuals look to their unit co-workers for cues on desired knowledge sharing behaviors.
Many participants emphasised that all these enablers would be more effective if grounded in local examples and context, such as knowledge sharing with individuals whose settings were similar to the researcher's own.
Similar to the frequency of knowledge sharing behavior, individual original knowledge sharing behavior in a dynamic virtual community also plays a mediating effect between previous and current positions characteristic of the virtual community.
The group constructs knowledge not only by sharing individual knowledge with other members, but also by sharing mutual experiences within a common (often digital) environment.
This study aims to explore the mechanism between the character of individual online knowledge sharing behavior and individual network status, to help individual participants gain more social and economic benefits by choosing effective sharing behavior.
As mentioned above, the choice of individual knowledge sharing behavior is influenced by individuals previously embedded in a knowledge network, and the individual's current sharing behavior determines the individual embedding condition in the virtual community.
Because the definition of individual knowledge implies the possibility to match it in time and space with an application context, i.e., with a patient, sharing individual knowledge is counterbalanced by the need for privacy and confidentiality.
Moreover, the individual knowledge sharing behavior has an "inertia effect": individual previous status (the degree of node centrality) affects current knowledge sharing behavior, while current knowledge sharing behavior affects the current status in the knowledge network, forming an inertial circuit between personal behavior and network status.
At the same time, individual knowledge sharing behavior has an "inertia effect": individual prior status (the degree of node centrality) affects current knowledge sharing behavior, while current knowledge sharing behavior affects current status in the knowledge network, forming an inertial circuit between personal behavior and network status.
Schrader (1995) found that individual knowledge sharing behavior was influenced by the expectation of individuals for potential economic benefits after sharing.
