Predicting users knowledge contribution behaviour in technical vs non-technical online Q&A communities: SEM-Neural Network approach.

DEEP learning; MEDICINE information services; CONFIDENCE intervals; INTERNET; SOCIAL media; ATTITUDE (Psychology); GROUP identity; SATISFACTION; HEALTH information services; INTELLECT; INTERPERSONAL relations; RESEARCH funding; THEORY; DESCRIPTIVE statistics; SOCIAL skills; ARTIFICIAL neural networks

The article examines the knowledge contribution behavior of users in online Q&A communities, focusing on factors like community recognition, online social interaction and community devotion using a dual-stage deep learning modeling approach. It identifies community recognition, online social interaction and community devotion as significant factors influencing knowledge contribution while highlighting the negative impact of the sense of reciprocation.