Hawaii International Conference on System Sciences (HICSS)
Proceedings of the 52nd Hawaii International Conference on System Sciences
Customer knowledge contribution is a vital source of business value. Existing studies paid limited attention to emotional influence on knowledge contribution. Drawing upon social support theory, this study attempts to elaborate the influence of emotional support and informational support on knowledge contribution of customers in a firm-hosted online community. Through quantitative content analysis including product feature extraction and sentiment analysis, we analyzed content data from 2318 users. A set of research hypotheses were tested via regression analysis of panel data. We found that informational support (information diagnosticity and source credibility) and emotional support (emotional consistency and emotional difference) significantly affect customer knowledge contribution. This study contributes to knowledge contribution literature by showing the emotional and informational influence, and provides insights for community managers.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Wang, Xiaolei; Ow, Terence T.; Feng, Yuqiang; and Liu, Luning, "Understanding the Emotional and Informational Influence on Customer Knowledge Contribution through Quantitative Content Analysis" (2019). Management Faculty Research and Publications. 334.
ADA Accessible Version