The study of the relationship between community identify and knowledge sharing behavior of virtual community participants

• Main Authors: Jin-Zhang Chen, 陳金樟
• Other Authors: 何俐安
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/17641340089524585819

碩士 === 淡江大學 === 教育科技學系碩士班 === 102 === Nowadays, with the rapid evolution of information and network technology, users can quickly contact with each other over the network to exchange information. Virtual communities have changed the way people interact. Community members learn from each other to solve problems by sharing information and knowledge. Literature indicates that the concept of virtual community is the same as the face-to-face community. Community members often support each other to share and exchange information, and get the sense of identity and belonging to a certain degree, so that Internet users are willing to stay in these groups. This study aims to explore the relationship between community identify and knowledge sharing behavior of virtual community participants in order to make suggestions to the community managers. This is a quantitative research which targets at Facebook users who have had online information exchange experiences. A survey questionnaire was used to collect data (N=494). t-test, one-way ANOVA, Pearson correlation, and stepwise regression were employed for statistical analysis. The findings are: 1. Sharing behavior is common among community members. 2. As far as personal factors are concerned, age has significant influence on community identify of virtual community members. 3. As far as personal factors are concerned, different time using has significant influence on the community identify of virtual community members. 4. Community identify of virtual community members has significant influence on the knowledge sharing behavior. 5. Emotion, behavior and cognition can positively and significantly predict community members to share information. As a whole, cognition has the maximum of predictability. 6. Virtual community members change their information sharing behavior depending on the level of the identity to other members or community platforms.