To answer or to ignore? The impact of questioners and questions on continuous knowledge contributions in virtual Q&A communities
Jing Liang and
Ming Li
Behaviour and Information Technology, 2024, vol. 43, issue 15, 3633-3656
Abstract:
Continuous knowledge contributions are a key component of the success of virtual question and answer (Q&A) communities. Continuous knowledge contributions comprise answerers’ responses to questioners and their questions. As antecedent information to continuous knowledge contributions, based on stimulus–organism–response theory and information dual-process theory, a research model that reflects the impact of the characteristics of questions and questioners on answerers’ continuous knowledge contributions is established. Then, the model is empirically examined by using short panel data containing 44,198 question and answer interaction data points collected from 1,830 answerers on the Chinese Software Developer Network. Meanwhile, the mediation effects of outcome expectations and perceived achievement on the characteristics of questions and questioners are investigated. The two-way fixed-effects negative binomial regression results show that (1) the label similarity, question readability, norms of reciprocity and reputation of questioners all have a positive impact on answerers’ continuous knowledge contributions in virtual question and answer communities; (2) outcome expectations fully mediate the effect of label similarity, while they partially mediate the effect of question readability, the norms of reciprocity and the reputation of questioners; and (3) perceived achievement mediates the effects of label similarity, the norms of reciprocity and the reputation of questioners.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2023.2285948 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:43:y:2024:i:15:p:3633-3656
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2023.2285948
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().