Abstract
Consumer voluntary sharing of e-service knowledge in an online community is of great value to both business and consumers. This study develops and tests a research model integrating two personal attributes (consumer innovativeness and subjective knowledge) and two e-service factors (perceived ease of use and usefulness) in predicting consumer voluntary knowledge sharing in an online community. Data were collected using a web-based survey of 364 airline travelers recruited through an online travel community in China. Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was used to analyze the data. The results reveal that personal factors are stronger drivers of knowledge sharing than e-service factors. This study advances consumer knowledge sharing in online communities, and has implications for enhancing a firm’s e-service strategies.
Original language | English |
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Pages (from-to) | 68-74 |
Journal | Computers in Human Behavior |
Volume | 63 |
Early online date | 14 May 2016 |
DOIs | |
Publication status | Published - Oct 2016 |
Keywords
- Knowledge sharing
- Online community
- Innovativeness
- Subjective knowledge
- E-service