عنوان مقاله [English]
The current study aimed to develop strategies to improve knowledge sharing on online scientific social networks by identifying incentive and disincentive factors that have effects on willingness to share knowledge.
Applied research was used to collect data using cluster sampling. The study population consisted of Shiraz University and Persian Gulf University faculties. A sample of 269 persons was determined by Morgan table according to whole population (900 persons). In order to gather data the questionnaire by Zhao was used.
Findings showed that common vision, factors shared vision with the mean difference 4/82, reciprocity with the mean difference 4/04 and confidence in sharing with the mean difference 3/34, have the most effects and can be used as basis of knowledge sharing development strategies. Social affiliation with an average -0/42 has negative effect to knowledge sharing.
Given the positive impact of a shared vision, mutual interaction and confidence in the desire to share knowledge, it is possible by creating specialized scientific social networks to allow the presence of researchers of the same field and with the same realms.