Trust significantly influences knowledge sharing self-efficacy, perceived relative advantage and perceived compatibility, which in turn positively affect knowledge sharing behavior. Furthermore, the study finds that the norm of reciprocity does not significantly affect knowledge sharing behavior.
| Construct | Cites | Category | Questions given? | Content validity | Pretests | Response type | Notes |
|---|---|---|---|---|---|---|---|
| norm of reciprocity | Wasko, 2005, Kankanhalli et al., 2005 | yes | 2 rounds by 4 experts | pilot | 7-point likert scale | ||
| Trust | Lee, 2003, Ridings et al., 2002 | yes | 2 rounds by 4 experts | pilot | 7-point likert scale | ||
| knowledge sharing self-efficacy | Kalman, 1999, Compeau, 1995 | yes | 2 rounds by 4 experts | pilot | 7-point likert scale | ||
| perceived relative advantage | Moore, 1991 | yes | 2 rounds by 4 experts | pilot | 7-point likert scale | ||
| Perceived compatibility | Moore, 1991, Nahapiet, 1998, Tsai, 1998 | yes | 2 rounds by 4 experts | pilot | 7-point likert scale | ||
| Knowledge sharing behavior | Davenport, 1998 | yes | 2 rounds by 4 experts | pilot | 7-point likert scale | ||
| Community Loyalty | Koh, 2004, Srinivasan et al., 2002, Zeithaml et al., 1996 | yes | 2 rounds by 4 experts | pilot | 7-point likert scale |
Ming-Ji James Lin, Shiu-Wan Hung, and Chih-Jou Chen. Fostering the determinants of knowledge sharing in professional virtual communities. Computers in Human Behavior, 25(4):929–939, July 2009. doi:10.1016/j.chb.2009.03.008.
@article{lin_fostering_2009,
abstract = {Professional virtual communities (PVCs), which are formed on the Internet, are expected to serve the needs of members for communication, information, and knowledge sharing. The executives of organizations should consider PVCs as a new innovation or knowledge pool since members share knowledge. However, many PVCs have failed due to members' low willingness to share knowledge with other members. Thus, there is a need to understand and foster the determinants of members' knowledge sharing behavior in PVCs. This study develops an integrated model designed to investigate and explain the relationships between contextual factors, personal perceptions of knowledge sharing, knowledge sharing behavior, and community loyalty. Empirical data was collected from three PVCs and tested using structural equation modeling (SEM) to verify the fit of the hypothetical model. The results show that trust significantly influences knowledge sharing self-efficacy, perceived relative advantage and perceived compatibility, which in turn positively affect knowledge sharing behavior. Furthermore, the study finds that the norm of reciprocity does not significantly affect knowledge sharing behavior. The results of the study can be used to identify the motivation underlying individuals' knowledge sharing behavior in PVCs. By investigating the impacts of contextual factors and personal perceptions on knowledge sharing behavior, the integrated model better explains behavior than other proposed models. This study might help executives of virtual communities and organizations to manage and promote these determinants of knowledge sharing to stimulate members' willingness to share knowledge and enhance their virtual community loyalty. As only little empirical research has been conducted on the impact of knowledge sharing self-efficacy, perceived relative advantage, and perceived compatibility on the individual's knowledge sharing behavior in PVCs, the empirical evidence reported here makes a valuable contribution in this highly important area.},
author = {Lin, Ming-Ji James and Hung, Shiu-Wan and Chen, Chih-Jou},
doi = {10.1016/j.chb.2009.03.008},
issn = {0747-5632},
journal = {Computers in Human Behavior},
keywords = {trust,Knowledge sharing,Virtual communities,Community loyalty,Norm of reciprocity},
month = {July},
number = {4},
pages = {929-939},
series = {Including the Special Issue: The Use of Support Devices in Electronic Learning Environments},
title = {Fostering the Determinants of Knowledge Sharing in Professional Virtual Communities},
volume = {25},
year = {2009}
}