Social influence on endorsement in social Q&A community: Moderating effects of temporal and spatial factors

From Groups to Communities: A Resource Mobilization Theory Perspective on the Emergence of Communities

“…In doing so, we ultimately help IS theory to take steps away from the traditional "what" questions and move towards the more insightful "how" ones, while we contribute to the line of IS research on theorising using large datasets and novel computational approaches (Kar & Dwivedi, 2020). Concurrently, we contribute to the ongoing discussions on community emergence and evolution within the broader IS literature, especially on those around communities of consumption (e.g., Wang et al, 2019), brand communities (e.g., Fetais, et al, 2022Kannan et al, 2000;Santos et al, 2022), experiential communities (e.g., Canevez et al, 2022;Dennehy et al, 2020;Kamboj et al, 2018;Prakasam & Huxtable-Thomas, 2021) and consumer tribes (e.g., Gloor et al, 2020;Xu et al, 2019), as well as those around interpersonal (e.g., Dong et al, 2021) or resource dynamics (e.g., Wang et al, 2021) on communities. Finally, as the IS field is increasingly adopting such computational approaches (e.g., Georgiadou et al, 2020), and is opening up to new perspectives (e.g., Kar & Dwivedi, 2020), the approach we have incorporated in can further enhance the endeavours on theorizing through the use of large datasets, and, as we have demonstrated, become powerful tools for meta-analysis applications.…”

“…This line of research has documented that: i) social interactions strengthen the bonds amongst community members, ii) identity-relevant symbolic meanings encourage community membership, and iii) practices, such as welcoming, badging, and signalling prolong the vitality of a community. Whilst the topic has always been fundamental for the broader IS research agenda, prior studies have primarily focused on inter-personal (e.g., Dong et al, 2021;Gutierrez et al, 2016;Shi et al, 2021) or resource dynamics (e.g., Dennehy et al, 2020;Wang et al, 2021), paying scant attention to the origins of communities; while concurrently, studies that focus on community emergence prioritize how communities spark into existence (e.g., Priharsari & Abedin, 2021;Weijo et al, 2014), but leave the fundamental research question on where do new communities come from broadly unanswered.…”

Effects of social media affordances on knowledge contribution in online Q&A communities: a self-determination perspective

“…It is renowned for its reputation for providing high-quality information and fostering a collaborative environment for knowledge sharing. Previous research has utilized samples from Zhihu to examine related knowledge contribution behaviors (Zhang et al, 2019;Dong et al, 2021). Members of Zhihu have personal pages that display their personal information, participation details, endorsement statistics, and social network information.…”

Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review

“…Relatively, Figueroa et al [185] suggested a multi-modal method for automatic age recognition across CQA platforms that uses text, image, and metadata [186]. Social influence on user's CQA contribution: In a social question-answer community, Dong et al [187] explored the role of social influence on endorsement behaviour. To determine the relationship between social influence and social endorsement, they built a psychological choice model.…”

“…Social influence on user's CQA contribution: In a social question‐answer community, Dong et al. [187] explored the role of social influence on endorsement behaviour. To determine the relationship between social influence and social endorsement, they built a psychological choice model.…”