Abstract
This study investigates the underlying motivational factors with regard to the knowledge exchange intentions (intention to obtain and provide knowledge) in virtual community contexts. Perceived virtual network structure, namely, virtual network connectivity and virtual network closeness are suggested as the important antecedents of knowledge sharing intentions in the context of virtual knowledge exchange community. Anonymity, one of the unique characteristics of virtual community but controversial due to its multi-facet effects, is considered in a structural model as a factor having impacts on a virtual network structure.
Recommended Citation
Kang, Kyung-Woo and Shin, Seung Kyoon, "ANONYMITY AND PERCEIVED NETWORK-STRUCTURE: A MODEL OF VIRTUAL COMMUNITY KNOWLEDGE INTENTIONS" (2013). SAIS 2013Proceedings. 18.
https://aisel.aisnet.org/sais2013/18